Integrate Edit Fields (Set) with 500+ apps and services

This workflow automatically queries a Postgres database to find outlier readings for which SMS notifications have not been sent. This is Workflow 2 in the blog tutorial Database activity monitoring and alerting. Prerequisites A Postgres database set up and credentials A Twilio account and credentials Nodes Cron node triggers the workflow every minute, so the database is queried at regular intervals. Postgres nodes extract values from, and update values in the database. Twilio node sends an alert SMS about the outlier reading to a specified phone number. Set node sets the notification value to true.

This workflow goes through the teachable webhook request types and adds a user, updates him and tags him with #unsubscribe or removes the #unsubscribe tag. It also tags the user with the tag of the name of the course. Enjoy!

Companion workflow for MongoDB node docs

Companion workflow for IF node docs

Companion workflow for Rename Keys node docs

Companion workflow for CrateDB node docs

Companion workflow for MySQL node docs

Companion workflow for Postgres node docs

Companion workflow for Google Sheets node docs

This workflow generates sensor data, which is used in another workflow for managing factory incident reports. Read more about this use case and how to build both workflows with step-by-step instructions in the blog post How to automate your factory’s incident reporting. Prerequisites AMQP, an ActiveMQ  connection, and credentials Nodes Interval node triggers the workflow every second. Set node set the necessary values for the items that are addeed to the queue. AMQP Sender node sends a raw message to add to the queue.

This workflow automatically monitors the functionality of a factory. The workflow logs machine data coming from factory sensors in a CrateDB database, generates an incident report in PagerDuty, and notifies the responsible staff members when the temperature of a machine crosses the threshold value. This workflow builds on a workflow that generates factory data. Read more about this use case and how to build both workflows with step-by-step instructions in the blog post How to automate your factory's incident reporting. Prerequisites A PagerDuty account and credentials AMQP, an ActiveMQ  connection, and credentials A CrateDB instance running locally or on a server, and credentials. Nodes AMQP Trigger node starts the workflow. IF node filters sensor values higher than 50°C. PagerDuty node creates an incident in the account. Set nodes set the required incident information and sensor data, respectively. CrateDB nodes ingest the information data and machine sensor data, respectively. Function node converts degrees from Celsius to Fahrenheit.

Companion workflow for blog post

This workflow will allow you to get the latest twitter mentions and send those mentions to Rocket.Chat. To ensure that we don't resend the same tweets as before, we use the Function Node and getWorkflowStaticData() to persist the ids of the tweets which have already been sent and filter those out. This leaves us with only the newest tweets.

Automatically adding expense receipts to Google Sheets with Telegram, Mindee API, Twilio, and n8n.

Companion workflow for Switch node docs

This workflow will gather data every minute from the GitHub (https://github.com), Docker (https://www.docker.com/), npm (https://www.npmjs.com/) and Product Hunt (https://www.producthunt.com/) website APIs and display select information on a Smashing (https://smashing.github.io/) dashboard. For convenience sake, the dashboard piece can be easily downloaded as a docker container (https://hub.docker.com/r/tephlon/n8n_dashboard) and installed into your docker environment.

This workflow appends, lookup, updates, and reads data from a Google Sheet spreadsheet. Set node: The Set node is used to generate data that we want to add to Google Sheets. Depending on your use-case you might have data coming from a different source. For example, you might be fetching data from a WebHook call. Add the node that will fetch the data that you want to add to the Google Sheet. Use can then use the Set node to set the data that you want to add to the Google Sheets. Google Sheets node: This node will add the data from the Set node in a new row to the Google Sheet. You will have to enter the Spreadsheet ID and the Range to specify which sheet you want to add the data to. Google Sheets1 node: This node looks for a specific value in the Google Sheet and returns all the rows that contain the value. In this example, we are looking for the value Berlin in our Google Sheet. If you want to look for a different value, enter that value in the Lookup Value field, and specify the column in the Lookup Column field. Set1 node: The Set node sets the value of the rent by $100 for the houses in Berlin. We pass this new data to the next nodes in the workflow. Google Sheets2 node: This node will update the rent for the houses in Berlin with the new rent set in the previous node. We are mapping the rows with their ID. Depending on your use-case, you might want to map the values with a different column. To set this enter the column name in the Key field. Google Sheets3 node: This node returns the information from the Google Sheet. You can specify the columns that should get returned in the Range field. Currently, the node fetches the data for columns A to D. To fetch the data only for columns A to C set the range to A:C. This workflow can be broken down into different workflows each with its own use case. For example, we can have a workflow that appends new data to a Google Sheet, and another workflow that lookups for a certain value and returns that value. You can learn to build this workflow on the documentation page of the Google Sheets node.

Companion workflow for blogpost

Companion workflow for blogpost

Companion workflow for blogpost

Basics Provides a mechanism to save all your workflows into a github repository and path (of your choosing). These can then be shared through your entire org and used to track changes (if you make any sad 'oopsies'. Flow Obtains and creates listing of currently configured workflows. Iterates through each workflow looking at the following Github source (if present) Actual workflow code (from N8N) Workflow code is sorted and compared for any changes If changed (or new) the workflows are saved / archived into github. Configuration Most of the configuration is done in the Globals node which houses the repo detail for github nodes. The only other dependency is that it by default looks for a GitHub credential, if you use something other than that precise wording you will need to change the credential used on the respective nodes. We gave it 'Manage' rights, but that was only so that it was able to override a requirement for checks to complete? Most would probably only need 'Write' privileges. Background Well, so we initially started using N8N just as a kubernetes-based service housed with its DB running inside the pod. Worked great for getting to know N8N and we jut kept all our workflows and credentials listed in a readme. Fast forward about a year... We have migrated this into our 'production' toolsets and maintain a bunch of team worflows inside it (not company-wide, but LOTS of team fun). While trying to spin a copy of our production RDS database, the ++actual++ production database was deleted, and in doing so AWS was nice enough to wipe our snapshots too!! Yea! Thankfully it only took us a few hours to get everything back up and running thanks to this, so I'm sharing it for everyone to benefit. We have used it to restore old workflows, changes, and now to test our full DR proceedures! (Ok, I might have taken that a bit far)

This workflow can be used to save all of your workflows in: a raw state (as a json file in Dropbox) an Airtable base, in a pre-designed format. It runs periodically (currently, every 30 minutes) and either updates (if already existing in Airtable) or creates a new record in Airtable for each workflow. Here's the Airtable base to give you an idea: View Airtable base Note: This workflows uses the "http://localhost:5678/rest" API which the UI editor uses but is still not officially supported. Hence, it may suffer breaking changes at some point in the future and the workflow might become dysfunctional then.

This is an example that gets the logo, icon, and information of a company and stores it in Airtbale. You can set the values that you want to store in the Set node. If you want to store the data in a different database (Google Sheet, Postgres, MongoDB, etc.) replace the Airtable node with that node. You can refer to the documentation to learn how to build this workflow from scratch.

This example workflow allows you to create, update, and get a document in Google Cloud Firestore. The workflow uses the Set node to set the data, however, you might receive data from a different source. Add the node that receives the data before the Set node and set the values you want to insert in a document, in the Set node. Also, update the Columns/ attributes fields in the Google Cloud Firestore node.

This workflow allows you to send updates about the position of the ISS every minute to a topic in RabbitMQ

Not sure what to eat tonight? Have recipes emailed to you daily based on your criterial. To run this workflow, you will need to have: A Recipe Search API key from Edamam An active email account with configured credentials To set up your credentials: Set your Edamam AppID and AppKey in the Search Criteria node Select (or create) your email credentials in the Send Recipes node (and set up the to: and from: email addresses while you are at it) To customize the recipes that you receive, open up the Search Criteria node and modify one or more of the following: RecipeCount** - the numner of recipes you would like to receive IngredientCount** - the maximum number of ingredients you would like each recipe to have CaloriesMin** - the minimum number of calories the recipe will have CaloriesMax** - the maximum number of calories the recipe will have TimeMin** - the minimum amount of time (in minutes) the recipe will take to prepare TimeMax** - the maximum amount of time (in minutes) the recipe will take to prepare Diet** - Select one of the following options: balanced - Protein/Fat/Carb values in 15/35/50 ratio high-fiber - More than 5g fiber per serving high-protein - More than 50% of total calories from proteins low-carb - Less than 20% of total calories from carbs low-fat - Less than 15% of total calories from fat low-sodium - Less than 140mg Na per serving random - selects a different random diet each day Health** - Select one of the following options: alcohol-free - No alcohol used or contained immuno-supportive - Recipes which fit a science-based approach to eating to strengthen the immune system celery-free - does not contain celery or derivatives crustacean-free - does not contain crustaceans (shrimp, lobster etc.) or derivatives dairy-free - No dairy; no lactose egg-free - No eggs or products containing eggs fish-free - No fish or fish derivatives fodmap-free - Does not contain FODMAP foods gluten-free - No ingredients containing gluten keto-friendly - Maximum 7 grams of net carbs per serving kidney-friendly - per serving – phosphorus less than 250 mg AND potassium less than 500 mg AND sodium: less than 500 mg kosher - contains only ingredients allowed by the kosher diet. However it does not guarantee kosher preparation of the ingredients themselves low-potassium - Less than 150mg per serving lupine-free - does not contain lupine or derivatives mustard-free - does not contain mustard or derivatives low-fat-abs - Less than 3g of fat per serving no-oil-added - No oil added except to what is contained in the basic ingredients low-sugar - No simple sugars – glucose, dextrose, galactose, fructose, sucrose, lactose, maltose paleo - Excludes what are perceived to be agricultural products; grains, legumes, dairy products, potatoes, refined salt, refined sugar, and processed oils peanut-free - No peanuts or products containing peanuts pecatarian - Does not contain meat or meat based products, can contain dairy and fish pork-free - does not contain pork or derivatives red-meat-free - does not contain beef, lamb, pork, duck, goose, game, horse, and other types of red meat or products containing red meat. sesame-free - does not contain sesame seed or derivatives shellfish-free - No shellfish or shellfish derivatives soy-free - No soy or products containing soy sugar-conscious - Less than 4g of sugar per serving tree-nut-free - No tree nuts or products containing tree nuts vegan - No meat, poultry, fish, dairy, eggs or honey vegetarian - No meat, poultry, or fish wheat-free - No wheat, can have gluten though random - selects a different random health option each day SearchItem* - the general term that you are looking for e.g. *chicken

If you have made some investments in cryptocurrency, this workflow will allow you to create an Airtable base that will update the value of your portfolio every hour. You can then track how well your investments are doing. You can check out my Airtable base to see how it works or even copy my base so that you can customize this workflow for yourself. To implement this workflow, you will need to update the Airtable nodes with your own credentials and make sure that they are pointing to your Airtable

Using Typeform to push task requests to an n8n webhook that then categorizes the request and assigns it in ClickUp accordingly. In order to get his workflow working for yourself, you will need: ClickUp account Typeform account Credentials for these services ClickUp configured with appropriate lists Typeform setup with options that correspond with ClickUp lists. You may modify this workflow to meet your specific needs and configuration. This is a very simple version of this workflow and you can make it as complicated as you wish to meet your requirements.

Receive a new book recommendation each Friday from Open Library. You can select the subject from thousands of options and have a new recommendation delivered to you automatically.

Este workflow es para trabajar con tratamiento de texto usando n8n y poder iniciarte en como funciona. How To, Paso a Paso: https://comunidad-n8n.com/tratamiento-de-textos/ Comunidad de telegram: https://t.me/comunidadn8n

This workflow executes every minute and fetches the recent tweets from Twitter with the search query n8n_io. The workflow is built on the concept of polling. Cron node: The Cron node triggers the workflow every minute. Based on your use-case you can configure the time. You can even use the Interval node to trigger the workflow at a certain time interval. Twitter node: The Twitter node searches for the tweets that contain n8n_io and returns the most recent tweets. You can specify a different search query based on your use-case. Set node: The Set node sets the data that we pass on to the next nodes in the workflow. You can set only the values that you require in your workflow. Function node: All the magic happens in this node. The Twitter node returns all the recent tweets, including the ones which were returned earlier. The Function node, using the getWorkflowStaticData() method, only returns the tweets that are new, i.e., the tweets that were not returned in the previous workflow. Mattermost node: The Mattermost node sends the tweets from the Function node to the Twitter notifications channel. If you don't use Mattermost and want to share this data on a different platform, replace this node with the appropriate node.

Allow your friends to get updates when you do not meet your workout goals so that they can help you get to where you need to be! Monitors your Strava account and sends an email to three accountability partners each day if you have not had enough activity so that they can reach out to you with some encouragement. Make sure that you configure the Accountability Settings to meet your needs along with the Strava and Send Email credentials.

This workflow demonstrates the use of static data in n8n. The workflow is built on the concept of polling. Cron node: The Cron node triggers the workflow every minute. You can configure the time based on your use-case. HTTP Request node: This node makes an HTTP Request to an API that returns the position of the ISS. Set node: In the Set node we set the information that we need in the workflow. Since we only need the timestamp, latitude, and longitude we set this in the node. If you need other information, you can set them in this node. Function node: The Function node, checks if the incoming data is similar to the data that was returned in the previous execution or not. If the data is different the Function node returns this new node, otherwise, it returns a message 'No New Items'. The data is also stored as static data with the workflow. Based on your use-case, you can build the workflow further. For example, you can use it send updates to Mattermost or Slack

This workflow allows you to store the output of a phantom in Airtable. This workflow uses the LinkedIn Profile Scraper phantom. Configure and launch this phantom from your Phantombuster account before executing the workflow. The workflow uses the following node: Phantombuster node: The Phantombuster node gets the output of the LinkedIn Profile Scraper phantom that ran earlier. You can select a different phantom from the Agent dropdown list, but make sure to configure the workflow accordingly. Set node: Using the Set node we are setting the data for the workflow. The data that we set in this node will be used by the next nodes in the workflow. Based on your use-case, you can modify the node. Airtable node: The Airtable node allows us to append the data in an Airtable. Based on your use-case you can replace this node with any other node. Instead of storing the data in Airtable, you can store the data in a database or Google Sheet, or send it as an email using the Send Email node, Gmail node, or Microsoft Outlook node.

This n8n workflow automates sending out SMS notifications via Vonage which includes new tech-related vocabulary everyday. To build this handy vocabulary improver, you’ll need the following: n8n – You can find details on how to install n8n on the Quickstart page. LingvaNex account – You can create a free account here. Up to 200,000 characters are included in the free plan when you generate your API key. Airtable account – You can register for free. Vonage account – You can sign up free of charge if you aren’t already.

This workflow allows you to get analytics of a website and store it Airtable. In this workflow, we get the analytics for the sessions grouped by the country. Based on your use-case, you can select different Dimensions and set different Metrics. You can use the Cron node or the Interval node to trigger the workflow on a particular interval and fetch the analytics data regularly. Based on your use-case, you might want to store the data returned by Google Analytics to a database or a Google Sheet. Replace the Airtable node with the appropriate node.

This workflow stores responses form responses of Typeform in Airtable. The workflow also sends the response to a channel on Slack. You will have to configure the Set node if your form uses different fields.

This workflow allows you to receive updates about the positiong of the ISS and add it to a table in TimescaleDB. Cron node: The Cron node triggers the workflow every minute. You can configure the time based on your use-case. HTTP Request node: This node makes an HTTP Request to an API that returns the position of the ISS. Based on your use-case you may want to fetch data from a different URL. Enter the URL in the URL field. Set node: In the Set node we set the information that we need in the workflow. Since we only need the timestamp, latitude, and longitude we set this in the node. If you need other information, you can set them in this node. TimescaleDB node: This node stores the information in a table named iss. You can use a different table as well.

This workflow allows you to receive updates when a customer is subscribed to a list in GetResponse and add them to a base in Airtable. GetResponse Trigger node: This node triggers the workflow when a customer is added to a list. Based on your use-case, you can select a different event. Set node: The Set node is uded here to ensure that only the data that we set in this node gets passed on to the next nodes in the workflow. For this workflow, we set the name and email of the customer. Airtable node: The data from the Set node is added to a table in Airtable. Based on your use-case, you may want to add the infromation about the customer to a CRM instead of a table in Airtable. Replace the Airtable node with the node of the CRM where you want to add the data.

This workflow allows you to insert and retrieve data from a table in Stackby. Set node: The Set node is used to set the values for the name and id fields for a new record. You might want to add data from an external source, for example an API or a CRM. Based on your use-case, add the respective node before the Set node and configure your Set node accordingly. Stackby node: This node appends data from the previous node to a table in Stackby. Based on the values you want add to your table, enter the column names in the Column field. Stackby1 node: This node fetches all the data that is stored in the table in Stackby.

This workflow is a generic example of how to load data from your workflow into a destination that stores tabular data. For example, a Google Sheets or Airtable sheet, a .CSV file, or any relational database like MySQL. Generally, you need to ensure that you send well-formatted data into the Spreadsheet or Database node. You can use the Set or Function node to transform data into the correct format for your destination. Key concepts Spreadsheets and databases have columns, like "Name" and "Email". The data you send into a Spreadsheet/ Database node needs to match these column names for each row of data that you want to insert. Data points need to be represented as key-value pairs. Specifically, each item of data needs to have a JSON key for each column in the sheet. For a spreadsheet with "Name" and "Email" columns, it would look like: {"Name" : "Karla", "Email" : "karla@email.com"} Before appending or inserting data to a spreadsheet or database, you might need to transform it into the correct format. You can preprocess the data with a Set or Function node. The Set node allows you to perform simple transforms when the data you want to load into spreadsheet rows is already represented as items. Use the Function node when you need to map nested data (like arrays) inside a single item to their own top-level items (Example in community forums). Spreadsheet and database nodes in n8n perform their configured action (like Append, Create Row, Write to File) on each item of input data. Workflow walkthrough

This workflow returns the current weather at a predefined or given city and returns it so that it can be displayed with bash-dash. By default does it return the weather in Berlin if no city got defined. That default can be changed in the "Set City" node. Example usage: \- weather london Example bash-dash config: commands[weather]="http://localhost:5678/webhook/weather"

This workflow allows creating a new Asana task via bash-dash Example usage: \- asana My new task Example bash-dash config: commands[asana]="http://localhost:5678/webhook/asana"

This workflow allows you to send a message in a Telegram chat via bash-dash. Example usage: - telegram I'll be late If you want to send a predefined message without typing it in the command line, you can replace the Text Expression in the Telegram node with a specific message. In this case, the dash command - telegram will send the predefined message to the chat. Example bash-dash config: commands[telegram]="http://localhost:5678/webhook/telegram"

This workflow allows you to receive updates when a new contact is added in Autopilot and add them to a base in Airtable. Autopilot Trigger node: The Autopilot Trigger node will trigger the workflow when a new contact is added in Autopilot. Set node: We use the Set node to ensure that only the data that we set in this node gets passed on to the next nodes in the workflow. Airtable node: This node will store the data coming from the previous node in a table in Airtable.

This workflow allows you to receive updates from Wise and add information of a transfer to a base in Airtable. Wise Trigger node: This node will trigger the workflow when the status of your transfer changes. Wise node: This node will get the information about the transfer. Set node: We use the Set node to ensure that only the data that we set in this node gets passed on to the next nodes in the workflow. We set the value of Transfer ID, Date, Reference, and Amount in this node. Airtable node: This node will append the data that we set in the previous node to a table.

This workflow demonstrates how to use noItemsLeft to check if there are items left to be processed by the SplitInBatches node. Function node: This node generates mock data for the workflow. Replace it with the node whose data you want to split into batches. SplitInBatches node: This node splits the data with the batch size equal to 1. Based on your use-case, set the value of the Batch Size. IF node: This node check if all the data by the SplitInBatches are not processed or not. It uses the expression {{$node["SplitInBatches"].context["noItemsLeft"]}} which returns a boolean value. If there is data yet to be processed, the expression will return false, otherwise true. Set node: This node prints a message No Items Left. Based on your use-case, connect the false output of the IF node to the input of the node you want to execute, after the data is processed by the SplitInBatches node.

This workflow demonstrates how to use currentRunIndex to get the running index. Function node: This node generates mock data for the workflow. Replace it with the node whose data you want to split into batches. SplitInBatches node: This node splits the data with the batch size equal to 1. Based on your use-case, set the value of the Batch Size. IF node: This node checks the running index. If the running index equals 5 the node returns true and breaks the loop. The node uses the expression {{$node["SplitInBatches"].context["currentRunIndex"];}}, which returns the running index. Set node: This node prints a message Loop Ended. Based on your use-case, connect the false output of the IF node to the input of the node you want to execute if the condition is false.

This is the workflow that I presented at the April 9, 2021 n8n Meetup. This workflow uses Baserow.io to store registration information collected using n8n as both the web server and the data processor. To get this workflow working properly, you will either need to run it on n8n.cloud or using the on premise version with people having the ability to connect to n8n externally. You will need an account on Baserow.io to store your subscriptions with a table with the following fields: GUID First Name Last Name Email Confirmed

This workflow allows you to collect tweets, store them in MongoDB, analyse their sentiment, insert them into a Postgres database, and post positive tweets in a Slack channel. Cron node: Schedule the workflow to run every day Twitter node: Collect tweets MongoDB node: Insert the collected tweets in MongoDB Google Cloud Natural Language node: Analyse the sentiment of the collected tweets Set node: Extract the sentiment score and magnitude Postgres node: Insert the tweets and their sentiment score and magnitude in a Posgres database IF node: Filter tweets with positive and negative sentiment scores Slack node: Post tweets with a positive sentiment score in a Slack channel NoOp node: Ignore tweets with a negative sentiment score

This workflow allows you to send position updates of the ISS every minute to a queue using the AWS SQS node. Cron node: The Cron node will trigger the workflow every minute. HTTP Request node: This node will make a GET request to the API https://api.wheretheiss.at/v1/satellites/25544/positions to fetch the position of the ISS. This information gets passed on to the next node in the workflow. Set node: We will use the Set node to ensure that only the data that we set in this node gets passed on to the next nodes in the workflow. AWS SQS: This node will send the data from the previous node to the iss-position queue. If you have created a queue with a different one, you can use that queue instead.

This workflow allows you to send position updates of the ISS every minute to a table in Google BigQuery. Cron node: The Cron node will trigger the workflow every minute. HTTP Request node: This node will make a GET request to the API https://api.wheretheiss.at/v1/satellites/25544/positions to fetch the position of the ISS. This information gets passed on to the next node in the workflow. Set node: We will use the Set node to ensure that only the data that we set in this node gets passed on to the next nodes in the workflow. Google BigQuery: This node will send the data from the previous node to the position table in Google BigQuery. If you have created a table with a different name, use that table instead.

This workflow allows you to validate emails stored in a table using the Mailcheck node. Airtable node: This node will list all the records from a table. Based on your use case, you might want to replace this node. Mailcheck node: This node will check the emails that got returned by the previous node. Set node: We will use the Set node to ensure that only the data that we set in this node gets passed on to the next nodes in the workflow. Airtable1 node: This node will update the Valid field in the table. Based on your use case, you might want to replace this node.

This workflow allows you to send a message on Mattermost when a workflow is updated. Workflow Trigger node: The Workflow Trigger node will trigger the workflow when the workflow gets updated. Mattermost node: This node will send a message on Mattermost, notifying you about the update.

This workflow allows you to send position updates of the ISS every minute to a topic in MQTT using the MQTT node. Cron node: The Cron node will trigger the workflow every minute. HTTP Request node: This node will make a GET request to the API https://api.wheretheiss.at/v1/satellites/25544/positions to fetch the position of the ISS. This information gets passed on to the next node in the workflow. Set node: We will use the Set node to ensure that only the data that we set in this node gets passed on to the next nodes in the workflow. AWS SQS: This node will send the data from the previous node to the iss-position topic. If you have created a topic with a different one, you can use that topic instead.

This workflow allows extracting data from multiple pages website. The workflow: 1) Starts in a country list at https://www.theswiftcodes.com/browse-by-country/. 2) Loads every country page (https://www.theswiftcodes.com/albania/) 3) Paginates every page in the country page. 4) Extracts data from the country page. 5) Saves data to MongoDB. 6) Paginates through all pages in all countries. It uses getWorkflowStaticData('global') method to recover the next page (saved from the previous page), and it goes ahead with all the pages. There is a first section where the countries list is recovered and extracted. Later, I try to read if a local cache page is available and I recover the cached page from the disk. Finally, I save data to MongoDB, and we paginate all the pages in the country and for all the countries. I have applied a cache system to save a visited page to n8n local disk. If I relaunch workflow, we check if a cache file exists to discard non-required requests to the webpage. If the data present in the website changes, you can apply a Cron node to check the website once per week. Finally, before inserting data in MongoDB, the best way to avoid duplicates is to check that swift_code (the primary value of the collection) doesn't exist. I recommend using a proxy for all requests to avoid IP blocks. A good solution for proxy plus IP rotation is scrapoxy.io. This workflow is perfect for small data requirements. If you need to scrape dynamic data, you can use a Headless browser or any other service. If you want to scrape huge lists of URIs, I recommend using Scrapy + Scrapoxy.

This workflow allows you to filter positive and negative feedback received from a Typeform and insert the data into Google Sheets. Typeform Trigger node: Start the workflow when a new form is submitted via Typeform Set node: Extract the information submitted in typeform IF node: Filter positive and negative reviews (i.e. ratings above or below 3 out of 5). Google Sheets node: Store the positive and negative reviews and ratings in two different sheets for each case.

This simple workflow allows you to get an mp4 attachment from gmail email and then upload it to Google Drive to get attachment webview link.

This workflow creates an automatic self-hosted URL shortener. It consists of three sub-workflows: Short URL creation for extracting the provided long URL, generating an ID, and saving the record in the database. It returns a short link as a result. Redirection for extracting the ID value, validating the existence of its correspondent record in the database, and returning a redirection page after updating the visits (click) count. Dashboard for calculating simple statistics about the saved record and displaying them on a dashboard. Read more about this use case and how to set up the workflow in the blog post How to build a low-code, self-hosted URL shortener in 3 steps. Prerequisites A local proxy set up that redirects the n8n.ly domain to your n8n instance An Airtable account and credentials Basic knowledge of JavaScript, HTML, and CSS Nodes Webhook nodes trigger the sub-workflows on calls to a specified link. IF nodes route the workflows based on specified query parameters. Set nodes set the required values returned by the previous nodes (id, longUrl, and shortUrl). Airtable nodes retrieve records (values) from or append records to the database. Function node calculates statistics on link clicks to be displayed on the dashboard, as well as its design. Crypto node generates a SHA256 hash.

This workflow allows you to add articles to a Notion reading list by accessing a Discord slash command. Prerequisites A Notion account and credentials, and a reading list similar to this template. A Discord account and credentials, and Discord Slash Command connected to n8n. Nodes Webhook node triggers the workflow whenever the Discord Slash command is issued. IF node checks the type returned by Discord. If the type is not equal to 1, it will return true, otherwise false. HTTP Request node makes an HTTP call to the link and gets the HTML of the webpage. HTML Extract node extracts the title from the HTML which we will use in the next node. Notion node adds the link to your Notion reading list. Set nodes set the reply values for Discord and register the Interaction Endpoint URL.

This workflow will allow you at the beginning of each day to copy your google calendar events into Trello so you can take notes, label, or automate your tasks. When deploying this, don't forget to change: Label ID for meeting type under "Create Trello Cards". You should be able to find instructions Here on how to find the label ID. Description for Trello cards under "Create Trello Cards". I currently pull in notes but it should be simple to change to pull the Gcal description instead. You can change the trigger time to fire at a different time.

This workflow allows you to release a new version via a Telegram bot command. This workflow can be used in your Continous Delivery pipeline. Telegram Trigger node: This node will trigger the workflow when a message is sent to the bot. If you want to trigger the workflow via a different messaging platform or a service, replace the Telegram Trigger node with the Trigger node of that service. IF node The IF node checks for the incoming command. If the command is not deploy, the IF node will return false, otherwise true. Set node: This node extracts the value of the version from the Telegram message and sets the value. This value is used later in the workflow. GitHub node: This node creates a new version release. It uses the version from the Set node to create the tag. NoOp node: Adding this node is optional.

This example workflow demonstrates how to handle pagination. This example assumes that the API you are making the request to has pagination, and returns a cursor (something that points to the next page). This example workflow makes a request to the HubSpot API to fetch contacts. You will have to modify the parameters based on your API. Config URL node: This node sets the URL that the HTTP Request node calls. HTTP Request node: This node makes the API call and returns the data from the API. Based on your API, you will have to modify the parameters of the node. NoOp node and Wait node: These nodes help me avoiding any rate limits. If you're API has rate limits, make sure you configure the correct time in the Wait node. Check if pagination: This IF node checks if the API returns any cursor. If the API doesn't return any cursor, it means that there is no data to be fetched, and the node returns false. If the API returns a cursor, it means that there is still some data that needs to be fetched. In this case, the node returns true. Set next URL: This Set node is used to set the URL. In the next cycle, the HTTP Request node makes a call to this URL. Combine all data: This node combines all the data that gets returned by the API calls from the HTTP Request node.

This workflow is triggered when a new order is created in Shopify. Then: the order information is stored in Zoho CRM, an invoice is created in Harvest and stored in Trello, if the order value is above 50, an email with a discount coupon is sent to the customer and they are added to a MailChimp campaign for high-value customers; otherwise, only a "thank you" email is sent to the customer. Note that you need to replace the List ID in the Trello node with your own ID (see instructions in our docs). Same goes for the Account ID in the Harvest node (see instructions here).

This workflow is scheduled to run every week, when it gets all your Shopify orders, calculates their sales value, stores the data in Google Sheets, and sends a notification message to a Slack channel.

This workflow is triggered when a typeform is submitted, then it saves the sender's information into HubSpot as a new contact. Typeform Trigger: triggers the workflow when a typeform is submitted. Set: sets the fields for the values from Typeform. HubSpot 1: creates a new contact with information from Typeform. IF: filters contacts who expressed their interest in business services. HubSpot 2: updates the contact's stage to opportunity. Gmail: sends an email to the opportunity contacts with informational material. NoOp: takes no action for contacts who are not interested.

This workflow is triggered when a new deal is created in HubSpot. Then, it processes the deal based on its value and stage. The first branching follows three cases: If the deal is closed and won, a message is sent in a Slack channel, so that the whole team can celebrate the success. If a presentation has been scheduled for the deal, then a Google Slides presentation template is created. If the deal is closed and lost, the deal’s details are added to an Airtable table. From here, you can analyze the data to get insights into what and why certain deals don’t get closed. The second branching follows two cases: If the deal is for a new business and has a value above 500, a high-priority ticket assigned to an experienced team member is created in HubSpot If the deal is for an existing business and has a value below 500, a low-priority ticket is created.

This workflow demonstrates how to can use Redis to implement rate limits to your API. The workflow uses the incoming API key to uniquely identify the user and use it as a key in Redis. Every time a request is made, the value is incremented by one, and we check for the threshold using the IF node. Duplicate the following Airtable to try out the workflow: https://airtable.com/shraudfG9XAvqkBpF

This workflow demonstrates how to use the Netlify Trigger node to capture form submissions and add it Airtable. You can reuse the workflow to add the data to another similar database by replacing the Airtable node with the corresponding node. Netlify Trigger node: This node triggers the workflow when a new form is submitted. Select your site from the Site Name/ID dropdown list and the form from the Form ID dropdown list. Set node: This node extract the required data from the Netlify Trigger node. In this example, we only want to add the Name, Email, and Role of the user. Airtable node: This node appends the data to Airtable. If you want the data to Google Sheets or a database, replace this node with the corresponding node.

This workflow will trigger daily at 6am to retrieve your day's calendar events from Google Calendar and send them as a summary message to Slack. I've used a low-code method to filter the dates as I can't code much in JSON :) Contact me on https://twitter.com/sami_abid if you have any questions!

This workflow gets the top 5 products from Product Hunt and shares them on the Discord server. Cron node: This node triggers the workflow every hour. Based on your use case, you can update the node to trigger the workflow at a different time. GraphQL node: This node makes the API call to the Product Hunt GraphQL API. You will need an API token from Product Hunt to make the call. Item Lists node: This node transforms the single item returned by the previous node into multiple items. Set node: The Set node is used to return only the name, description, and votes of the product. Discord node: This node is used to send the top 5 products to the Discord server.

At the end, add the service you need, for example Telegram ++You can only see the result when you run workflow.++ *Based on these answers: Latest RSS Feed -> Rocket.Chat for get only new post Rss to Twitter with Image for get image*

This workflow automatically does the following: Scrapes comments and likes from a LinkedIn post. Adds contact data (nominative and verified email address, gender, standardized first name and last name, all legal company information). Adds these contacts to Airtable. Sends an ultra-personalized cold email sequence. Sends a Linkedin invitation after the cold email sending. Pushes all contacts to HubSpot. Prerequisites A Phantombuster account and credentials A Lemlist account and credentials A Dropcontact account and credentials A HubSpot account and credentials How it works Cron node executes the workflow every hour. Phantombuster node (Launch agent) launches the "LinkedIn Post Likers" phantom and the "LinkedIn Post Commenters" phantom. Note that you have to create these phantoms before setting your workflow automation. Phantombuster node (Get Output agent)** gets results from the previous phantoms. Dropcontact node fetches the new contact information and returns the data of the person and the company associated with the email address, job function, and all legal information. Airtable node (List) lists all the records in the Contacts table. IF node routes the workflow based on whether a contact is in Airtable. Set node sets the required data for the following nodes. Airtable node (Update)** updates the record's name. Airtable node (Append)** creates a record if the account doesn't exist yet. Lemlist node adds a contact to an existing campaign. Phantombuster node (Launch agent)** launches the "LinkedIn Network Booster" phantom. Note that you have to create these phantoms before setting your automation. Hubspot node creates or updates the contacts in the HubSpot CRM.

This workflow automatically finds verified and nominative email and all information (with Dropcontact) to prospect properly from a Typeform. Typeform Trigger**: This node triggers the workflow when a new Typeform is submitted. Dropcontact**: This node fetches the new contact information and returns the data of the person and the company associated with the email address, job function, and all legal information. Airtable - List**: This will list all the entries from your table in order to check if the subscriber is new or not. If**: Does the contact exist in your Airtable yet? Set**: Set values on the Airtable values Airtable Update**: This node updates your record with new and up-to-date data Airtable - Create**: This node creates a new record when the subscriber is a new lead Slack**: This node sends an alert when the record is added or updated

This workflow looks for a Close Date value using REGEX in the IF node. If it finds the correct value, it will pass that value on. If it does not find the correct value, it will generate a value based on the present time plus three weeks. The final result will show up in the NoOps node. You can text this execution by enabling and disabling the Set node when you run the execution.

This workflow demonstrates the use of the $item(index) method. This method is useful when you want to reference an item at a particular index. This example workflow makes POST HTTP requests to a dummy URL. Set node: This node is used to set the API key that will be used in the workflow later. This node returns a single item. This node can be replaced with other nodes, based on the use case. Customer Datastore node: This node returns the data of customers that will be sent in the body of the HTTP request. This node returns 5 items. This node can be replaced with other nodes, based on the use case. HTTP Request node: This node uses the information from both the Set node and the Customer Datastore node. Since, the node will run 5 times, once for each item of the Customer Datastore node, you need to reference the API Key 5 times. However, the Set node returns the API Key only once. Using the expression {{ $item(0).$node["Set"].json["apiKey"] }} you tell n8n to use the same API Key for all the 5 requests.

This workflow recieves webhook data from a form submission and creates a new user (with name and email) if necessary. It also add the current semester of the program to the relation for the user.

Creates a new team for a project from webhook form data. When the project is created the current semester is added to it's relation attribute. More info can be found on using this workflow as part of a larger system here.

This Workflow will extract the domain for the email address.

This workflow transcribes audio files stored in AWS S3 and stores the information in Google Sheets. Google Drive Trigger node** triggers the workflow when a new file is uploaded in Google Drive. AWS S3 1 node** uploads the new file to an S3 bucket. AWS S3 2 node** gets the file from the S3 bucket. AWS Transcribe 1 node** creates a transciption job for the respective audio file. Wait node** waits for the transcription job from the previous node to be complete before proceeding with the workflow (necessary in case the service is busy or the file to be transcribed is large, delaying the workflow). AWS Transcribe 2 node** gets the information of the transcription job. Set node** sets the necessary values to be included in the data set. Google Sheets node** adds the transcription information to a sheet that serves as data set.

This workflow collects images from web search results on a specific query, analyzes the image for labels, formats the text, and adds the information in Google Sheets. HTTP Request node** gets images from the web. AWS Rekognition node** analyzes the images (in this case, it detects text in an image). Set node** sets the values necessary for the data set. Function node** transforms the text detected in the image to lower case. Google Sheets node** adds the image information to a sheet that serves as data set.

This workflow collects images from web search on a specific query, detects labels in them, and stores this information in a Google Sheet.

This workflow collects tweets (100 but adjustable) and add them to AirTable. Starting the 2nd execution, the workflow will add only the new tweets (based on Tweet ID), so there won't be any tweet duplications

Have you ever wanted to throttle Plex when connecting remotely to your server? Well here is the script for you! The instructions to deploy are below: You will need: A plex server with Plex Pass (for webhooks) n8n running locally (either in docker on via the desktop app) Qbittorent with WebUI enabled Begin by installing n8n by visiting n8n.io. You can install the desktop version or the docker version, whichever works best for your but I'm doing this on my desktop version of n8n. Copy the code from this page into your n8n install canvas. You should see the script appear before your eyes. From there, you Double click on the Webhook node at the beginning of the script. Copy both the Test and Production URLs that appear there. Now make your way to Plex and visit your settings. On the left, you should see the webhooks option if you have Plex Pass. This will setup your triggers. Next visit your qBitTorrent instance and enable WebUI. Notate your Username, Password, and Port. You will also need to know the IP of the machine that qbittorent is running on. If you have an iPhone you can connect to the same wireless network as your computer and use the Fing app to scan the network for the IP. Open up the script and edit the Global Variables to reflect the values you copied. Hit save at the top right, and then activate the script. Enjoy!!

What is it This workflow aims to build a simple bot that will send a message to a telegram channel every time there is a new saved item to the Reader. This workflow can be easily modify to support other way of sending the notification, thanks to existing n8n nodes. Warning: This is only for folks who already have access to the Reader, it won't work if you don't Also, this workflow use a file to store the last update time in order to not sync everything everytime. Setup The config node : It contains the telegram channel id It also contains the file used as storage To get the header auth, you have to : Go to the reader Open the devtools, Option + ⌘ + J (on macOS), or Shift + CTRL + J (on Windows/Linux) Go to network and find a profile_details/ request, click on it Go to Request Headers Copy the value for "Cookie" In n8n, set the name of the Header auth account to Cookie and the value with the one you copied before

This workflow parses content from a website (for this example, Baserow's release page) and creates an RSS feed based on the extracted data. Prerequisites Some familiarity with HTML and CSS selectors Nodes Webhook node triggers the workflow when new content (a new Baserow release) is published on a website. Set nodes set the required URLs and links for the RSS feed. HTTP Request node fetches data from a specified website page. HTML Extract nodes extract the posts and their fields (such as date, title, description, and link) from the website. Item Lists node iterates over each post on the page. Date & Time node converts the date of the post to a different format. Function Item node creates RSS items for each post. Function node creates the response code for the RSS feed. Respond to Webhook node returns the RSS feed in response to the Webhook node. The result of this workflow would look like this:

This telegram bot is designed to send one random recipe a day. This specific bot has filtered out only vegan recipes, so you can choose your diet type and send only recipes for a specific diet. What credentials you need: Set up a telegram bot. Airtable for listing who has joined your bot. This is needed to send one random recipe a day. Recipe (or other) API. This one uses Spoonacular. I hope you enjoy your bot!

This workflow handles the incoming call from Twitter and sends the required response for verification. On registering the webhook with the Twitter Account Activity API, Twitter expects a signature in response. Twitter also randomly ping the webhook to ensure it is active and secure. Webhook node: Use the displayed URL to register with the Account Activity API. Crypto node: In the Secret field, enter your API Key Secret from Twitter. Set node: This node generates the response expected by the Twitter API. Learn more about connecting n8n with Twitter in the Getting Started with Twitter Webhook article.

Who we are We are Aprende n8n, the first n8n Spanish course for all n8n lovers. If you want to learn more, you can find out more at Aprende n8n. Task goal This task allows extracting data from any email body with a NoCode snippet. An small explanation You receive an email when a user submits a form from your website. All those emails usually have the same structure as the next one: Name: Miquel Email: miquel@aprenden8n.com Subject: Welcome aboard Message: Hi Miquel! Thank you for your signup! This task allows to parse any email body and assign all values to the defined labels, getting an output like this: { "Name": "Miquel", "Email": "miquel@aprenden8n.com", "Subject": "Welcome aboard", "Message" "Hi Miquel! Thank you for your signup!" } After importing it When you import the import, you get the next task in your n8n: We recommend importing this workflow into your current task and adapting it. You define a couple of variables in the "Set values" SET: body: the email body you want to parse. You can add this as an expression from previous variables. labels: the keywords you want to detect and parse. Labels are case insensitive. We define the next values: Body Name: Miquel Email: miquel@aprenden8n.com Subject: Welcome aboard Message: Hi Miquel! Thank you for your signup! Labels Name,Email,Subject,Message A screenshot of the Set output is the next one If we check the "Function item" Node, we get the next content after executing the task: Capabilities The task has the next features: You can detect as many labels as you want. Label detection is case insensitive. You can use the snippet as an independent workflow to call it generically, adding the Function item to the workflow and passing body and labels as paremeters. Limitations This task has limitations: The parser only accepts the multiline values at the end of the email. Help and comments If you have any doubt about this snippet, please, contact us at miquel@aprenden8n.com. You can contact us at Aprende n8n or in the Spanish n8n community

This workflow automatically deletes user data from different apps/services when a specific slash command is issued in Slack. Watch this talk and demo to learn more about this use case. The demo uses Slack, but Mattermost is Slack-compatible, so you can also connect Mattermost in this workflow. Prerequisites Accounts and credentials for the apps/services you want to use. Some basic knowledge of JavaScript. Nodes Webhook node triggers the workflow when a Slack slash command is issued. IF nodes confirm Slack's verification token and verify that the data has the expected format. Set node simplifies the payload. Switch node chooses the correct path for the operation to perform. Respond to Webhook nodes send responses back to Slack. Execute Workflow nodes call sub-workflows tailored to deleting data from each individual service. Function node, Crypto node, and Airtable node generate and store a log entry containing a hash value. HTTP Request node sends the final response back to Slack.

This workflow searches for mentions of a company's name on Twitter and shares the tweets that mention it in a Slack channel. Prerequisites A Slack account and credentials A Twitter account and credentials Nodes Cron node executes the workflow every 10 minutes. Note that if you change the Mode from "Every X" you will need to manually update the Date & Time node to subtract the interval you are using. Set nodes set the required values (name of the Slack channel, name of the Twitter account to search for, the tweet text and URL). Date & Time node subtracts 10 minutes from the workflow execution time. Twitter node gets the latest 50 tweets that mention the specified account. IF node filters tweets posted in the past 10 minutes. Slack node posts tweets in a Slack channel.

This workflow checks a Google Calendar at 8am on the first of each month to get anything that has been marked as a Holiday or Illness. It then merges the count for each person and sends an email with the list. To use this workflow you will need to set the credentials to use for the Google Calendar node and Send Email node. You will also need to select the calendar ID and fill out the information in the send email node. This workflow searches for Events that contain "Holiday" or "Illness" in the summary. If you want to change this you can modify it in the Switch node.

This workflow will check a mailbox for new emails and if the Subject contains Expenses or Reciept it will send the attachment to Mindee for processing then it will update a Google sheet with the values. To use this node you will need to set the Email Read node to use your mailboxes credentials and configure the Mindee and Google Sheets nodes to use your credentials.

This is the first of 4 workflows for a Mattermost Standup Bot. This workflow will create a default configuration file. You can set the default configuration in the Set node (Use Default Config) the values are: config.slashCmdToken - The token Mattermost provides when you make a new Slash Command config.mattermostBaseUrl - The base URL for your Mattermost instance config.botUserToken - The User token for your Mattermost bot config.n8nWebhookUrl - The URL for your "Action from MM" webhook in the "Standup Bot - Worker" workflow config.botUserId - The UserID for your Mattermost Bot user The config file is saved under /home/node/.n8n/standup-bot-config.json This workflow only needs to be run once manually as part of the setup .

This workflow will take a timer entry from Clockify and submit it to a matching ticket in Syncro. It saves the time entry ID from Clockify and the time entry ID from Syncro into a Google Sheets. Then, it will check if a match already exists from a previous update and will update the same time entry if the description or time is changed in Clockify. There is a Set node with the name and Syncro IDs of technicians. If you have multiple technicians with the same name, this won't work for you. Likewise, if the name in Clockify doesn't exactly match what you put in the Set, it won't work. You also need to setup a webhook in Clockify set to trigger on "Time entry updated (anyone)" and pointed at your workflow. Configured this way, you can start and stop time entries at will and it won't do anything until you change the description. > This workflow is part of an MSP collection, The original can be found here: https://github.com/bionemesis/n8nsyncro

This workflow takes Dialpad call information after a call is disconnected and pushes it into Syncro as a ticket timer update, matching the start time and end time provided by Dialpad and a note that containing the contact or customer name and number. > This workflow is part of an MSP collection, The original can be found here: https://github.com/bionemesis/n8nsyncro

This workflow takes Dialpad call information for an answered call and pushes it into Syncro as either a ticket or an update to an existing ticket. You will need to have a workflow for each technician at this time. It also saves call/ticket information to a Google Sheet to be queried by the dialpad_to_syncro_timer.json workflow. This will match to inbound and outbound calls, so if that's not desired you need to add in an IF to only proceed on either inbound or outbound calls. > This workflow is part of an MSP collection, The original can be found here: https://github.com/bionemesis/n8nsyncro

This workflow will take an alert from Syncro, determine if it's an agent_offline_trigger type, then determine if it's a new alert or a close to an existing alert, and then submit it to OpsGenie. New alerts will create a new alert in OpsGenie and resolved alerts will close the alert in OpsGenie. It doesn't require any kind of Google Sheets because OpsGenie allows you to submit a unique ID (known as an alias) along with the alert, which can be referenced later when closing the alert. The trigger type can be changed to suit your needs. You will need to create an API integration in OpsGenie. In Syncro, in addition to setting up the appropriate notification to webhook, you will also need a script that closes the agent_offline_trigger alert and an automated remediation to trigger that script when the asset goes offline (the script is queued and run when the asset comes back online). > This workflow is part of an MSP collection, The original can be found here: https://github.com/bionemesis/n8nsyncro

This workflow was originally presented at the February 2022 n8n Meetup. Requirements In order to use this workflow, you will need the following in place: A configured Baserow account A group in Baserow called User Empowerment Demo A database in the User Empowerment Demo called Office Shopping List Inside the Office Shopping List database, you will need two tables: Shopping List: Column 1 - Single line text column named Item Shopper: Column 1 - Single line text column named Name Column 2 - Email column named Email An email account for sending out alerts Customization To make this workflow work for you, please customize the following items: All Baserow nodes will need to be updated with your own credentials, database, tables and fields The Send Shopping List node will need to be configured with your email credentials and email addresses The Create Shopper Form Set node will need to have the code in the HTML value modified to reflect your Production URL from the Submit Shopper node (See instructions below) The Cron node will need to be modified to reflect the timing that you wish to use Modifying the Webform The webform is the piece that people normally want to customize but is often the most complex because it is raw HTML. Here are some quick tips for making changes to the form. Webform Nodes There are two nodes that control what you see in the form: Create Shopper Form - displays the form and submits it to the correct webhook Create Response Page - displays the results when the form is submitted Editing the Webform The easiest way that I have found to edit the webform is to: Open up the Set node (Create Shopper Form or Create Response Page) that contains the HTML you wish to edit. Copy the contents of the HTML value to your favourite HTML editor Make your changes Paste the updated HTML back into the Set node Changing the Webhook URL the Webform Posts To In order for the webform to work properly, do the following: Determine the Production URL for the Submit Shopper webhook node In the Create Shopper Form node, look for the following line in the HTML value: form action="https://tephlon.app.n8n.cloud/webhook/submit-shopper" method="POST" Replace https://tephlon.app.n8n.cloud/webhook/submit-shopper with your Production URL Changing the Webform Image The image that is in the webform is actually embedded in the HTML in each of the Create Shopper Form or Create Response Page Set nodes and can be modified from there using these steps: Open up the appropriate Set node In the HTML value, find the line that starts with background-image:. It will be followed by a long string that looks like random characters Using a tool like Image to Base64 Converter, upload your image and generate a new CSS background source Replace the original background-image: line (including all the "random" characters) with the new generated CSS background source

Send Typeforms leads via Whatsapp (Twilio)

This workflow uses OpenAI to generate tweets to be stored in Airtable for review. A JS snippet handles the topics to be tweeted about in the form of hashtags.

This workflow will backup your workflows to Github. It uses the public api to export all of the workflow data using the n8n node. It then loops over the data checks in Github to see if a file exists that uses the workflow name. Once checked it will then update the file on Github if it exists, Create a new file if it doesn't exist and if it's the same it will ignore the file. Config Options repo_owner - Github owner repo_name - Github repository name repo_path - Path within the Github repository >This workflow has been updated to use the n8n node and the code node so requires at least version 0.198.0 of n8n

This is the workflow powering the n8n demo shown at StrapiConf 2022. The workflow searches matching Tweets every 30 minutes using the Interval node and listens to Form submissions using the Webhook node. Sentiment analysis is handled by Google using the Google Cloud Natural Language node before the result is stored in Strapi using the Strapi node. (These were originally two separate workflows that have been combined into one to simplify sharing.)

Template to get your public IP address and push it to Namecheaps Dynamic DNS per subdomain. Open "yourdomain.com" Insert your domain and your Namecheap DDNS password Open "subdomains" Replaces and insert your subdomains Execute Workflow Have fun!

This workflow automatically manages Acrobat Sign signatures, respond with "intent" to Acrobat-Sign webhooks. Prerequisites Adobe Acrobat Sign and Sign webhook Basic knowledge of JavaScript Nodes Webhook nodes trigger the workflow on new sign intents on a document Respond to Webhook node sets the response headers. Function node processes data returned by the previous node. Set node sets the required values.

A simple node to send new YouTube videos from a channel to a Telegram chat (private, group or channel). CheckTime: set how often videos should be fetched from YouTube. Default is 30 minutes. GetVideosYT: this node will fetch the list of videos from a given channel. Here you need to specify on "Limit" the number of videos to fetch, and on "Channel ID" the ID of the desired channel (it should be the ending part of the URL). You need Google OAuth2 credentials to make it work. A guide is available here. (If you use n8n's tunneling, you may need to adjust the OAuth callback URL on Google Cloud Platform) Set: this node will set some variables to work easily with the next nodes. You shouldn't edit this. Function: this node checks if the video was seen previously by the workflow, so that it won't be published a second time on Telegram. You shouldn't edit this. SendVideo: this node sends the message to Telegram. You need to set your bot's credentials (guide here), specify the Chat ID to send the message (how to get) and personalize the Text of your message. This workflow works correctly only when it's activated. If you manually execute the workflow, it will send every time the latest videos.

This workflow extends n8n and uses R language graphic capabilities. This is a Telegram bot which fetches weather data via the openweathermap.org API, plots an image using ggoplot2 package from R and sends the image to the Telegram user.

Want to learn the basics of n8n? Our comprehensive quick quickstart tutorial is here to guide you through the basics of n8n, step by step. Designed with beginners in mind, this tutorial provides a hands-on approach to learning n8n's basic functionalities.

This workflow gets data from an API and exports it into Google Sheets and a CSV file.

This workflow illustrates how to convert data from JSON to binary format and import JSON data or files into Google Sheets or local spreadsheets.

Task: Handle dates and times in your workflow Why: Date and time formats can be hard to work with, we have 2 main ways of doing that with n8n that cover all the main needs Main use cases: Change date format Set custom dates (incl. now and today) Date math

You still can use the app in a workflow even if we don’t have a node for that or the existing operation for that. With the HTTP Request node, it is possible to call any API point and use the incoming data in your workflow Main use cases: Connect with apps and services that n8n doesn’t have integration with Web scraping How it works This workflow can be divided into three branches, each serving a distinct purpose: 1.Splitting into Items (HTTP Request - Get Mock Albums): The workflow initiates with a manual trigger (On clicking 'execute'). It performs an HTTP request to retrieve mock albums data from "https://jsonplaceholder.typicode.com/albums." The obtained data is split into items using the Item Lists node, facilitating easier management. 2.Data Scraping (HTTP Request - Get Wikipedia Page and HTML Extract): Another branch of the workflow involves fetching a random Wikipedia page using an HTTP request to "https://en.wikipedia.org/wiki/Special:Random." The HTML Extract node extracts the article title from the fetched Wikipedia page. 3.Handling Pagination (The final branch deals with handling pagination for a GitHub API request): It sends an HTTP request to "https://api.github.com/users/that-one-tom/starred," with parameters like the page number and items per page dynamically set by the Set node. The workflow uses conditions (If - Are we finished?) to check if there are more pages to retrieve and increments the page number accordingly (Set - Increment Page). This process repeats until all pages are fetched, allowing for comprehensive data retrieval.

Task: Control your data flow with rate limits and external cues Main use cases: Control the rate of items flow into one or more services in your workflow Wait for external events to occur before continuing with the rest of the workflow

Task: Create a simple API endpoint using the Webhook and Respond to Webhook nodes Why: You can prototype or replace a backend process with a single workflow Main use cases: Replace backend logic with a workflow

Task: Make sure that data is in the right format before injecting it into a database/spreadsheet/CRM/etc. Why: Spreadsheets and databases require the incoming data to have the same fields as the headers of the destination table. You can decide which fields you would like to send with the database and rename them by using the set node Main use cases: Change fields names to match a database or a spreadsheet table structure Keep only the fields that are needed at the destination table

This workflow identifies new rows in Google Sheets using a separate column keeping track of already processed rows. For this approach to work, the sheet needs to meet two requirements: A unique identifier for each row is required A column used to differentiate new/processed rows is present Our example sheet looks like this: So the row identifier is named ID, the new/processed column is called Processed. Update the workflow accordingly if your columns have different names. Now if the workflow runs, it discovers all three rows as new. After processing them, it will add a timestamp to the Processed column: The next time the workflow is executed it will skip the existing rows and only process newly added data:

This automated workflow takes a Typeform form, and once it is filled out, it is automatically uploaded as a Lead in Pipedrive. There is an option for custom fields (this workflow works with company size), and leaves notes in the note section based on questions answered. Prerequisites Typeform account and Typeform credentials and a form for people to fill out Pipedrive account and Pipedrive credentials Nodes Typeform node gets the data after the survey is completed Set node extracts data from the Typeform node and keeps only relevant data Function node maps the company size Pipedrive node populates a pipeline with a deal and adds custom fields

This workflow combines customers' details with their payment data and passes the input to Pipedrive as a note to the organization. Prerequisites Stripe account and Stripe credentials Pipedrive account and Pipedrive credentials How it works Cron node triggers the workflow every day at 8 a.m. HTTP Request node searches for payments in Stripe. The Item Lists node creates separate items from a list of payment data. Merge node takes in the payment data as an input 1. Stripe node gets all the customers data. Set node renames customer-related data fields and keeps only needed fields. Merge node takes in the customer data as an input 2. Merge node combines the payment data with the customers one. Pipedrive node searches for the organization and creates a note with payment data.

This workflow adds a new product in Stripe whenever a new product has been added to Pipedrive. Prerequisites Stripe account and Stripe credentials Pipedrive account and Pipedrive credentials How it works Pipedrive trigger node starts the workflow when a new product is added. HTTP Request node creates a new product in Stripe using previuos input. Merge node combines data of both Pipedrive and Stripe inputs. The output will contain the data of Pipedrive input merged with the data of Stripe input. The merge occurs based on the index of the items. The Item Lists node splits prices to separate items. HTTP Request node creates price records in Stripe.

This workflow enriches new accounts in Pipedrive using Datagma API by adding data about ICP (ideal customer profile). Instead of Pipedrive, you can use any other CRM. In this example, ideal buyers are heads of sales/business development. Prerequisites Pipedrive account and Pipedrive credentials How it works Pipedrive trigger node starts the workflow when a new company is created. HTTP Request node queries data from Datagma. Pipedrive node updates Pipedrive contact with new data from Datagma. The Item Lists node simplifies returned data from Datagma that contain lists (arrays), enabling you to easily modify the structure for further processing without the need to use Function nodes and write custom JavaScript. IF node identifies if the lead corresponds ICP. HTTP Request node searches for emails in Datagma. Set node prepares data for further merging. Merge node combines data from multiple streams. Pipedrive node adds a new person in Pipedrive.

This workflow uses a number of technologies to track the value of ETFs, stocks and other exchange-traded products: Baserow: To keep track of our investments n8n’s Cron node: To trigger the workflow compiling our daily morning briefing Webscraping: The HTTP Request & HTML Extract nodes to fetch up-to-date prices from the relevant stock exchange and structure this infromation Javascript: We’ll use the Function node to build a custom HTML body with all the relevant information Sendgrid: The Email Service Provider in this workflow to send out our email Thanks to n8n, the steps in this workflow can easily be changed. Not a Sendgrid user? Simply remove the Sendgrid node and add a Gmail node instead. The stock exchange has a REST API? Just throw away the HTML Extract node. Here’s how it works: Data Source In this scenario, our data source is Baserow. In our table, we’ll track all information needed to identify each investment product: We have two text type columns (Name and ISIN) as well as two number type columns (Count and Purchase Price). Workflow Nodes 1. Cron The Cron node will trigger our workflow to run each work day in the morning hours. 2. Baserow The Baserow node will fetch our investments from the database table shown above. 3. HTTP Request Using the HTTP Request node we can fetch live data from the stock exchange of our choice based on the ISIN. This example uses Tradegate, which is used by many German fintechs. The basic approach should also work for other exchanges, as long as they provide the required data to the public. 4. HTML Extract Since our HTTP Request node fetches full websites, we’re using the HTML Extract node to extract the information we’re looking for from each website. If an exchange other than Tradegate is used, the selectors used in this node will most likely need to be updated. 5. + 6. Set The Set nodes helps with setting the exact columns we’ll use in our table. In this case we’re first formatting the results from our exchange, then calculate the changes based on the purchase price. 7. Function Here were using a bit of Javascript magic to build an HTML email. This is where any changes to the email content would have to be made. 8. Sendgrid Finally we send out the email built in the previous step. This is where you can configure sender and recipients. Result The basic email generated by this workflow will look like so:

This workflow gets leads' contacts from a CSV file and adds it to the Pipedrive CRM by creating an organization and a person. The CSV file in this workflow serves as a universal connector allowing you to export contacts from any platform like LinkedIn, Facebook, etc. Prerequisites Google account and Google credentials Pipedrive account and Pipedrive credentials How it works The Google Drive Trigger node starts the workflow when a new CSV file is uploaded to a specific folder in Google Drive. Google Drive node downloads the CSV file. Spreadsheet File node reads data from the CSV file and sends the output to the Merge node. This Spreadsheet File's output becomes the input 1 for the Merge node. Meanwhile, the Pipedrive node gets the same list of contacts from the CSV file. IF node checks if Pipedrive has these contacts already created previously and sends the checked results to the Merge node. These results arrive at the Merge node as input 2. Merge node compares two inputs via email and removes the matches. Pipedrive node creates new contacts based on the data provided by the Merge node with necessary details such as organization and notes.

This workflow automatically adds a new lead to Pipedrive once someone forks your GitHub repository. Prerequisites Pipedrive account and Pipedrive credentials GitHub account and GitHub credentials How it works GitHub Trigger node starts the workflow once someone forks your GitHub repository. HTTP Request node gets user's data from GitHub and sends it further. Pipedrive node searches forkee's data in Pipedrive by email. IF node decides whether to create a new person in Pipedrive in case contact doesn't exist yet or update an existing contact in Pipedrive. In case there's no contact existing yet, the Pipedrive node creates a lead and adds a note with GitHub URL.

This workflow shows a no code approach to creating Salesforce accounts and contacts based on data coming from Google Sheets. To run the workflow: Make sure you have both Google Sheets and Salesforce authenticated with n8n. Have a Google Sheet with contacts and their account names ready, copy the respective sheet ID from the URL: Add the sheet ID to the Google Sheet node of the workflow: Hit Execute Workflow Here is how it works: The workflow first searches for existing Salesforce accounts by name. It then branches out depending on whether the account already exists in Salesforce or not. If an account does not exist yet, it will be created. The data is then normalised before both branches converge again. Finally the contacts are created or updated as needed in Salesforce.

This workflow shows a no code approach to creating Salesforce accounts and contacts based on data coming from Excel 365 (the online version of Microsoft Excel). For a version working with regular Excel files check out this workflow instead. To run the workflow: Make sure you have both Excel 365 and Salesforce authenticated with n8n. Have a Microsoft Excel workbook with contacts and their account names ready: Select the workbook and sheet in the Microsoft Excel node of the workflow, then configure the range to read data from: Hit the Execute Workflow button at the bottom of the n8n canvas: Here is how it works: The workflow first searches for existing Salesforce accounts by name. It then branches out depending on whether the account already exists in Salesforce or not. If an account does not exist yet, it will be created. The data is then normalised before both branches converge again. Finally the contacts are created or updated as needed in Salesforce.

This workflow shows a no code approach to creating Salesforce accounts and contacts based on data coming from an Excel file. For Excel 365 (the online version of Microsoft Excel) check out this workflow instead. To run the workflow: Make sure your Salesforce account is authenticated with n8n. Have a Microsoft Excel workbook with contacts and their account names ready. The workflow uses this example file, but you probably want to use your own data instead. Hit the Execute Workflow button at the bottom of the n8n canvas. Here is how it works: The workflow first searches for existing Salesforce accounts by name. It then branches out depending on whether the account already exists in Salesforce or not. If an account does not exist yet, it will be created. The data is then normalised before both branches converge again. Finally the contacts are created or updated as needed in Salesforce.

This workflow builds a valid RSS feed (which is an XML feed under the hood) for ARD Audiothek podcasts. This allows you to subscribe to such podcasts using your favourite podcatcher without using the ARD Audiothek app. The example builds a feed for Kalk & Welk, but the workflow can be easily adjusted by providing another podcast URL on the Get overview page HTTP Request node. To subscribe to the feed, active your n8n workflow and then use the Production URL from the intitial Feed Webhook node in your podcatcher. I've tested the resulting feed using Pocket Casts... ...and Miniflux: When using Miniflux, you can add your feed via this page to your account. Make sure you select Private when doing so to avoid sharing your n8n instance with the world. The resulting feed passes the W3C Feed Validation Service: The workflow can also be used as a foundation to free other podcasts from propriertary big media platforms, though not all of them will be as simple to deal with as the ARD Audiothek.

This workflow syncs Shopify customers to your HubSpot account as contacts. Whenever somebody makes a purchase on Shopify, it automatically adds them as a new customer to your Hubspot account if the customer doesn’t exist yet. Also, this workflow creates or updates contacts from new paid orders on Shopify by adding the amount and order close date of the deal. Prerequisites Shopify account and Shopify credentials HubSpot account and HubSpot credentials How it works Shopify trigger starts the workflow whenever an order is updated. HubSpot node creates or updates the contact who made the order update. Set node sorts and passes only the userid. Merge node merges data of both inputs, the order and the customer. Hubspot node looks up if the order already exists. If node splits the workflow conditionally, based on data received. If the order is new, the new deal is created in the Hubspot node.

This workflow automatically sends Zendesk tickets to Pipedrive contacts and makes them task assignees. The automation is triggered every 5 minutes, with Zendesk checking and collecting new tickets which are then individually assigned to a Pipedrive contact. Prerequisites Pipedrive account and Pipedrive credentials Zendesk account and Zendesk credentials Note: The Pipedrive and the Zendesk accounts need to be created by the same person / with the same email. How it works Cron node triggers the workflow every 5 minutes. Zendesk node collects all the tickets received after the last execution timestamp. Set node passes only the requester`s email and ID further to the Merge node. Merge by key node merges both inputs together, the tickets and their contact emails. Pipedrive node then searches for the requester. HTTP Request node gets owner information of Pipedrive contact. Set nodes keep only the requester owner's email and the agent`s email and id. Merge by key node merges the information and adds the contact owner to ticket data. Zendesk node changes the assignee to the Pipedrive contact owner or adds a note if the requester is not found. The Function Item node sets the new last execution timestamp.

This workflow syncs Zendesk tickets to Pipedrive contact owners. This workflow is triggered every day at 09:00 with Zendesk collecting all the tickets updated after the last execution timestamp and updating them according to Pipedrive contacts. It also adds Zendesk comments to the tickets as notes in Pipedrive. Prerequisites Pipedrive account and Pipedrive credentials Zendesk account and Zendesk credentials Note: The Pipedrive and the Zendesk accounts need to be created by the same person / with the same email. How it works Cron node triggers the workflow every day at 09:00. Zendesk node collects all the tickets updated after the last execution timestamp. If node checks if the channel in the ticket is an email, and if so, it continues the workflow. The Item Lists node removes duplicates to make search efficient. Pipedrive node searches persons by email. Set node renames and keeps only needed fields (email & person id) Merge by key node adds the Pipedrive contact id to Zendesk tickets. The HTTP Request node gets Zendesk comments for tickets and the Merge node adds them to tickets. Split node adds nodes in batches with each iteration. Item list node splits comments into separate items. Pipedrive node adds comment as notes. If node checks if the data processing is done and if not, goes back to the Split node. The Function Item node sets the new last execution timestamp.

This workflow automatically syncs Shopify orders with your Zendesk contacts. Using this workflow, the Shopify email ID, phone number ID and order information will be added or updated to Zendesk contacts. Prerequisites Shopify account and Shopify credentials Zendesk account and Zendesk credentials How it works Shopify Trigger starts the workflow whenever a customer`s data is updated. Zendesk Node then searches the contact by email address. Set node keeps only the UserId and email of the contact. Merge by Key node combines the Shopify and Zendesk data. If node splits the workflow conditionally, check if the contact already exists or not. If the user exists, Zendesk node updates its contact data. If the user does not exist, Zendesk node creates a new contact.

This workflow automatically syncs Shopify orders with your Zendesk tickets. Using this workflow, Shopify orders will be added or have their information updated straight to your Zendesk tickets. Prerequisites Shopify account and Shopify credentials Zendesk account and Zendesk credentials How it works Shopify Trigger starts the workflow whenever an order is updated. Zendesk node finds if the order already exists and has a ticket assigned. Set node keeps and passes only ticket ID. Merge by Key node combines the Shopify order data with the Zendesk ticket data. If node splits the workflow conditionally, checks if the ticket already exists or not. If order is new, Zendesk node creates a new ticket for the order.

This workflow shows a low code approach to parsing an XML file and storing its contents in a Google Sheets spreadsheet. To run the workflow: Make sure you are running n8n 0.197 or newer Have n8n authenticated with Google Sheets How it's done: This workflow first downloads an example file using the HTTP Request node and reads this file using the XML node. It then runs the Item Lists node to split out the individual food items from the example file. It then splits up the workflow into a separate branch creating a new spreadsheet file using the Google Sheets node. To read the column names we're using the Object.keys() method inside a Set node. Once the spreadsheet is created (the workflow waits for this using the Merge node), the data is appended to the newly created sheet (again using the Google Sheets node).

This workflow creates a Slack thread when a new ticket is created in Zendesk. Subsequent comments on the ticket in Zendesk are added as replies to the thread in Slack. Prerequisites Zendesk account and Zendesk credentials. Slack account and Slack credentials. Slack channel to create threads in. How it works The workflow listens for new tickets in Zendesk. When a new ticket is created, the workflow creates a new thread/message in Slack. The Slack thread ID is then saved in one of the ticket's fields called "Slack thread ID". The next time a comment is added to the ticket, the workflow retrieves the Slack thread ID from the ticket's field and adds the comment to the thread/message in Slack as a reply. Setup This workflow requires that you set up a webhook in Zendesk. To do so, follow the steps below: In the workflow, open the On new Zendesk ticket node and copy the webhook URL. In Zendesk, navigate to Admin Center > Apps and integrations > Webhooks > Actions > Create Webhook. Add all the required details which can be retrieved from the On new Zendesk ticket node. The webhook URL gets added to the “Endpoint URL” field, and the “Request method” should match what is shown in n8n. Save the webhook. In Zendesk, navigate to Admin Center > Objects and rules > Business rules > Triggers > Add trigger. Give trigger a name such as “New tickets”. Under “Conditions” in “Meet ALL of the following conditions”, add “Status is New”. Under “Actions”, select “Notify active webhook” and select the webhook you created previously. In the JSON body, add the following: { "id": "{{ticket.id}}", "comment": "{{ticket.latest_comment_html}}" } Save the Zendesk trigger. You will also need to set up a field in Zendesk to store the Slack thread ID. To do so, follow the steps below: In Zendesk, navigate to Admin Center > Objects and rules > Tickets > Fields > Add field. Use the text field option and give the field a name such as “Slack thread ID”. Save the field. In n8n, open the Update ticket node and select the field you created in Zendesk.

This workflow automates a two way sync of customer data between Pipedrive and MySQL. It will create new records in one source if it only exists in the other. Where matching records have different data for name, phone number or email address, it will sync the most recently updated version.

This workflow will help guide you through obtaining a spreadsheet file, reading it, making a change then saving it to local or cloud storage.

This workflow automatically syncs your Zendesk tickets to your HubSpot contacts. Every 5 minutes, your Zendesk account collects all the new or updated tickets and syncs them accordingly, with your HubSpot contacts database. Prerequisites Zendesk account and Zendesk credentials HubSpot account and HubSpot credentials How it works Cron node triggers the workflow every 5 minutes. Function Item node checks all the tickets received after the last execution timestamp. Zendesk node collects all tickets updated after last execution. Zendesk node collects the user data of ticket requester. Set node collects the contact`s email, name and externalID. Merge by key node combines two inputs, ticket data and ticket requester data. If node splits the workflow conditionally, based on data received. If the data corresponds to a ticket that already exists, HubSpot node will update the ticket. If the data does not correspond to a ticket, HubSpot node creates/updates the contact. Zendesk node updates the external Id in Zendesk for the said contact. HubSpot node creates a new ticket. Zendesk node updates the ticket with the external Id. The Function Item node sets the new last execution timestamp.

This workflow pushes Stripe charges to HubSpot contacts. It uses the Stripe API to get all charges and the HubSpot API to update the contacts. The workflow will create a new HubSpot property to store the total amount charged. If the property already exists, it will update the property. Prerequisites Stripe credentials. HubSpot credentials. How it works On a schedule, check if the property exists in HubSpot. If it doesn't exist, create it. The default schedule is once a day at midnight. Once property is acertained, the first Stripe node gets all charges. Once the charges are returned, the second Stripe node gets extra customer information. Once the customer information is returned, Merge data node will merge the customer information with the charges so that the next node Aggregate totals can calculate the total amount charged per contact. Once we have the total amount charged per contact, the Create or update customer node will create a new HubSpot contact if it doesn't exist or update the contact if it does exist with the total amount charged.

This workflow demonstrates how easy it is to export SQL query to Excel automatically! Before running the workflow please make sure you have access to a remote SQL server (MS SQL, MySQL, PostgreSQL etc.) with a sample table: Date,Band,ConcertName,Country,City,Location,LocationAddress, 2023-05-28,Ozzy Osbourne,No More Tours 2 - Special Guest: Judas Priest,Germany,Berlin,Mercedes-Benz Arena Berlin,"Mercedes-Platz 1, 10243 Berlin-Friedrichshain", 2023-05-08,Elton John,Farewell Yellow Brick Road Tour 2023,Germany,Berlin,Mercedes-Benz Arena Berlin,"Mercedes-Platz 1, 10243 Berlin-Friedrichshain", 2023-05-26,Hans Zimmer Live,Europe Tour 2023,Germany,Berlin,Mercedes-Benz Arena Berlin,"Mercedes-Platz 1, 10243 Berlin-Friedrichshain", 2023-07-07,Depeche Mode,Memento Mori World Tour 2023,Germany,Berlin,Olympiastadion Berlin,"Olympischer Platz 3, 14053 Berlin-Charlottenburg", The detailed process is explained in the tutorial https://blog.n8n.io/export-sql-to-excel

This workflow digests mentions of n8n on Reddit that can be sent as an single email or Slack summary each week. We use OpenAI to classify if a specific Reddit post is really about n8n or not, and then the summarise it into a bullet point sentence. How it works Get posts from Reddit that might be about n8n; Filter for the most relevant posts (posted in last 7 days and more than 5 upvotes and is original content); Check if the post is actually about n8n; If it is, categorise with OpenAI. Bear in mind: Workflow only considers first 500 characters of each reddit post. So if n8n is mentioned after this amount, it won't register as being a post about n8n.io. Next steps Improve OpenAI Summary node prompt to return cleaner summaries; Extend to more platforms/sources - e.g. it would be really cool to monitor larger Slack communities in this way; Do some classification on type of user to highlight users likely to be in our ICP; Separate a list of data sources (reddit, twitter, slack, discord etc.), extract messages from there and have them go to a sub workflow for classification and summarisation.

This workflow reads PDF textual content and sends the text to OpenAI. Attachments of interest will then be uploaded to a specified Google Drive folder. For example, you may wish to send invoices received from an email to an inbox folder in Google Drive for later processing. This workflow has been designed to easily change the search term to match your needs. See the workflow for more details. Prerequisites OpenAI credentials. Google credentials. How it works Triggers off on the On email received node. Iterates over the attachments in the email. Uses the OpenAI node to filter out the attachments that do not match the search term set in the Configure node. You could match on various PDF files (i.e. invoice, receipt, or contract). If the PDF attachment matches the search term, the workflow uses the Google Drive node to upload the PDF attachment to a specific Google Drive folder.

This workflow sends a OpenAI GPT reply when an email is received from specific email recipients. It then saves the initial email and the GPT response to an automatically generated Google spreadsheet. Subsequent GPT responses will be added to the same spreadsheet. Additionally, when feedback is given for any of the GPT responses, it will be recorded to the spreasheet, which can then be used later to fine-tune the GPT model. Prerequisites OpenAI credentials Google credentials How it works This workflow is essentially a two-in-one workflow. It triggers off from two different nodes and have very different functionality from each trigger. The flow triggered from On email received node is as follows: Triggers off on the On email received node. Extract the email body from the email. Generate a response from the email body using the OpenAI node. Reply to the email sender using the Send reply to recipient node. A feedback link is also included in the email body which will trigger the On feedback given node. This is used to fine-tune the GPT model. Save the email body and OpenAI response to a Google Sheet. If a sheet does not exist, it will be created. The flow triggered from On feedback given node is as follows: Triggers off when a feedback link is clicked in the emailed GPT response. The feedback, either positive or negative, for that specific GPT response is then recorded to the Google Sheet.

Primer workflow for OpenAI models: ChatGPT, DALLE-2, Whisper This workflow contains 5 examples on how to work with OpenAI API. Transcribe voice into text via Whisper model (disabled, please put your own mp3 file with voice) The old way of using OpenAI conversational model via text-davinci-003 Examples 1.x. Simple ChatGPT calls. Text completion and text edit Example 2. Provide system and user content into ChatGPT Examples 3.x. Create system / user / assistanc content via Code Node. Promtp chaining technique example Example 4. Generate code via ChatGPT Example 5. Return multiple answers. Useful for providing picking the most relevant reply IMPORTANT! Do not run the whole workflow, it's rather slow Better execute the last node of each branch or simply disconnect branches that are not needed

Convert PostgreSQL table to CSV CSV is a super useful and universal way to transfer data between different tools. This workflow gives an example of how to take data from PostgreSQL and convert it easily into a CSV. What you need Before running the workflow, please make sure you have access to a remote PostgreSQL server and have table data: book_title,book_author,read_date Demons,Fyodor Dostoyevsky,2022-09-08 Ulysses,James Joyce,2022-05-06 Catch-22,Joseph Heller,2023-01-04 The Bell Jar,Sylvia Plath,2023-01-21 Frankenstein,Mary Shelley,2023-02-14 How it works Trigger the workflow on click Declare the name of the Excel file and sheet names Remotely connect to the PostgreSQL database and specify query execution Write the query data to CSV The detailed process is explained further in the tutorial: https://blog.n8n.io/postgres-export-to-csv/

This workflow provides a simple approach to counting the items returned by a node. It uses a Set node with the Execute Once option: The expression uses $input.all() (documented here) to fetch all incoming items at once, and .length (documented for example here) to count them.

This workflow demonstrates how easy it is to export SQL query to CSV automatically! Before running the workflow please make sure you have access to a local or remote MSSQL server with a sample AdventureWorks database. The detailed process is explained in the tutorial https://blog.n8n.io/sql-export-to-csv/

This workflow automatically downloads a CSV from the web, and parses it in a format that n8n can access. It then ensures that the data from the CSV is matched to the names of the columns in the database, and inserts this data as new rows in Snowflake. Prerequisites: A CSV with data A Snowflake account and credentials A Snowflake database to upload your CSV to Nodes: A HTTP Request node to download the CSV file A Spreadsheet File node to access the data from the CSV A Set node to ensure the data from the CSV is mapped to the column names of the Snowflake database A Snowflake node to insert these new rows into the database.

This template shows how you can take any event from any service, transform its data and send an alert to your desired app. Specifically, this example monitors a Linear project for new bug submissions. Then it only sends a Slack notification to a channel if a new bug is urgent. You can swap the Linear trigger for another Task Management app such as Jira or Asana; or an entirely different usecase. Setup instructions are located inside the workflow template.

This workflow template shows how to load JSON data into a workflow and push that data into an App or convert it into a Spreadsheet file. Specifically, this workflow shows how to make a generic API request that returns JSON. It then shows how to load that into a Google Sheets spreadsheet, or convert it to .CSV file format. However, you can use the general pattern to load data into any app or convert to any spreadsheet file format (such as .xlsx).

The workflow starts by listening for messages from Telegram users. The message is then processed, and based on its content, different actions are taken. If it's a regular chat message, the workflow generates a response using the OpenAI API and sends it back to the user. If it's a command to create an image, the workflow generates an image using the OpenAI API and sends the image to the user. If the command is unsupported, an error message is sent. Throughout the workflow, there are additional nodes for displaying notes and simulating typing actions.

This workflow is a template example for making Discord GPT-powered bots. Incoming user requests are analysed and categorised via OpenAI node with the help of a hand-crafted prompt. The response message is then routed to a different Discord channel.

This workflow syncs Discord scheduled events to Google Calendar. On a specified schedule, a request to Discord's API is made to get the scheduled events on a particular server. Only the events that have not been created or have recently been updated will be sent to Google Calendar. Prerequisites Discord account and Discord credentials. Google account and Google credentials. How it works Triggers off on the On schedule node. Gets the scheduled events from Discord. The IDs of the Discord scheduled events are used to get the events from Google Calendar, since the IDs are the same on creation of the Google Calendar event. We can now determine which events are new or have been updated. The new or updated events are created or updated in Google Calendar.

This workflow demonstrates how to export SQL to XML and present the data nicely formatted using an XSL Template. The upper part of the workflow starts with a webhook. Then it gets several random records from the SQL table and converts them into an XML string. Then a final XML file is created that contains a link to the XML Stylesheet file. The lower part of the workflow contains a helper Webhook that reads an XSL Template from the GitHub gist and serves it back via the Respond to Webhook node. This is required to comply with the CORS rules of modern browsers. These rules dictate that both XML data and a stylesheet file should come from the same domain.

This workflow demonstrates two ways of exporting data from SQL to XML. First, several random records are received from the MySQL database. Then, in the upper part of the workflow, the structure of an XML is defined in the Set node. After that, the ItemLists node combines all items into an array. This allows an XML node to create a simple XML file. The lower part of the workflow shows how to create an XML with attributes. It is almost identical except that a $ (dollar sign) JSON key is used to define XML attributes. Finally, both files are saved locally.

This workflow integrates both web scraping and NLP functionalities. It uses HTML parsing to extract links, HTTP requests to fetch essay content, and AI-based summarization using GPT-4o. It's an excellent example of an end-to-end automated task that is not only efficient but also provides real value by summarizing valuable content. Note that to use this template, you need to be on n8n version 1.50.0 or later.

The purpose of this n8n workflow is to automate the process of identifying incoming Gmail emails that are requesting an appointment, evaluating their content, checking calendar availability, and then composing and sending a response email. Note that to use this template, you need to be on n8n version 1.19.4 or later.

This workflow has multiple functionalities. It starts with a manual trigger, "When clicking 'Execute Workflow'", that activates two separate paths. The first path takes a preset string "Tell me a joke" and processes it through a custom Language Learning Model (LLM) chain node. This node interacts with an OpenAI node for query processing. The second path takes another preset string "What year was Einstein born?" and passes it to an "Agent" node. This agent further interacts with a Chat OpenAI node and a custom Wikipedia node to produce the required information. The workflow uses both built-in and custom nodes, and integrates with OpenAI for both paths. It's built for experimenting with language models, specifically in the context of conversational agents and information retrieval. Note that to use this template, you need to be on n8n version 1.19.4 or later.

This workflow is for anyone looking to automatically fetch, validate, and parse complex language-based queries into a structured format. Its unique capability lies in not only processing language but also fixing invalid outputs before structuring them. Note that to use this template, you need to be on n8n version 1.19.4 or later.

This template aims to perform Q&A on data retrieved from another n8n workflow. Since that workflow can be used to retrieve any data from any service, this template can be used to ask questions about any data. It uses a manual trigger, various AI nodes, and an OpenAI Chat Model to extract and provide relevant information based on a specific query. Note that to use this template, you need to be on n8n version 1.19.4 or later.

This workflow implements a custom tool via JavaScript code which returns a random color to users and excludes the given colors. Note that to use this template, you need to be on n8n version 1.19.4 or later.

This workflow performs several data integration and synchronization tasks between Google Sheets and a MySQL database. Here is a step-by-step description of what this workflow does: Manual Trigger: The workflow starts when the user clicks "Execute Workflow." Schedule Trigger: This node schedules the workflow to run at specific intervals on weekdays (Monday to Friday) between 6 AM and 10 PM. It ensures regular data synchronization. Google Sheet Data: This node connects to a specific Google Sheets document and retrieves data from the "Form Responses 1" sheet, filtering by the "DB Status" column. SQL Get inquiries from Google: This node retrieves data from a MySQL database table named "ConcertInquiries" where the "source_name" is "GoogleForm." Rename GSheet variables: This node renames the columns retrieved from Google Sheets and transforms the data into a format suitable for MySQL, assigning a value for "source_name" as "GoogleForm." Compare Datasets: This node compares the data retrieved from Google Sheets and the MySQL database based on timestamp and source_name fields. It identifies changes and updates. No reply too long?: This node checks if there has been no reply within the last four hours, using the "timestamp" field from the Google Sheets data. DB Status assigned?: This node checks if the "DB Status" field is not empty in the compared dataset. Update GSheet status: If conditions are met in the previous nodes, this node updates the "DB Status" field in Google Sheets with the corresponding value from the MySQL dataset. DB Status in sync?: This node checks if the "source_name" field in Google Sheets is not empty. Sync MySQL data: If conditions are met in the previous nodes, this node updates the "source_name" field in the MySQL database to "GoogleFormSync." Send Notifications: If conditions are met in the "No reply too long?" node, this node sends notifications or performs actions as needed. Sticky Notes: These nodes provide additional information and documentation links for users.

This workflow provides a simple example of how to use itemMatching(itemIndex: Number) in the Code node to retrieve linked items from earlier in the workflow.

This workflow generates CSV files containing a list of 10 random users with specific characteristics using OpenAI's GPT-4 model. It then splits this data into batches, converts it to CSV format, and saves it to disk for further use. The execution of the workflow begins from here when triggered manually. "OpenAI" Node. This uses the OpenAI API to generate random user data. The input to the OpenAI API is a fixed string, which asks for a list of 10 random users with some specific attributes. The attributes include a name and surname starting with the same letter, a subscription status, and a subscription date (if they are subscribed). There is also a short example of the JSON object structure. This technique is called one-shot prompting. "Split In Batches" Node. This node is used to handle the OpenAI responses one by one. "Parse JSON" Node. This node converts the content of the message received from the OpenAI node (which is in string format) into a JSON object. "Make JSON Table" Node. This node is used to convert the JSON data into a tabular format, which is easier to handle for further data processing. "Convert to CSV" Node. This node converts the table format data received from the "Make JSON Table" node into CSV format and assigns a file name. "Save to Disk" Node. This node is used to save the CSV generated in the previous node to disk in the ".n8n" directory. The workflow is designed in a circular manner. So, after saving the file to disk, it goes back to the "Split In Batches" node to process the OpenAI output, until all batches are processed.

This workflow imports multiple CSV files and appends or updates them to a Google Sheets document. Here's a step-by-step breakdown: When clicked "Execute Workflow", the process starts. The "Read Binary Files" node reads all the '.csv' files from the specified directory. The files are then split into batches (one file in a batch) by the "Split In Batches" node. For each file, the "Read CSV" node reads the data from the CSV file. The "Assign source file name" node assigns the source file name to the data. The data is then processed by the "Remove duplicates" node. This removes any duplicate entries based on the 'user_name' field. The "Keep only subscribers" node filters the data to keep only those entries where the 'subscribed' field is set to 'TRUE'. The data is then sorted by the 'date_subscribed' field using the "Sort by date" node. Finally, the processed data is appended or updated to a specified Google Sheets document using the "Upload to spreadsheet" node. It checks for the 'user_name' field, if the data corresponding to that 'user_name' already exists, it updates the data, otherwise appends the new data.

This workflow automatically imports data from a CSV file located at a specific URL and then updates the Google Sheets document with the provided data. Below is a step-by-step description of what this workflow does: The workflow is started manually using the "When you click 'Execute Workflow'" node. The CSV file is then uploaded from the specified URL "https://opendata.ecdc.europa.eu/covid19/testing/csv/data.csv" using the "Upload CSV" node. The "Import CSV" node accepts the uploaded CSV file and converts it into JSON formatted data. The "Add Unique Field" node generates a unique key by combining the 'country_code' and 'year_week' fields from the JSON data, which will be further used in the Google Sheets document. The 'Keep only DACH in 2023' node filters the data to keep only records where 'country_code' is either 'DE', 'AT', or 'CH' and 'year_week' starts with '2023'. Google's API has limitations on the speed of read and write operations, so only a subset of the data is taken. The filtered data is loaded into the specified Google Sheets document via the 'Load to Spreadsheet' node. The operation is set to 'appendOrUpdate' and the document ID and sheet name are specified. Also, the previously generated 'unique_key' key is set as the key to match the columns.

The workflow is an automated process designed for incident management and tracking, specifically by integrating Splunk alerts with a Jira ticketing system using n8n. The initial step in the workflow is a Webhook Trigger, which is set up to receive POST requests with data from Splunk to initiate the workflow. Once the workflow is triggered, the "Set Host Name" node cleans up the hostname received from Splunk, ensuring that it is alphanumeric for consistency and security purposes. Subsequently, the "Search Ticket" node interacts with Jira through a Jira Query Language (JQL) request to locate any existing issues that match the sanitized hostname. The workflow splits at the "IF Ticket Not Exists" node, which checks for the presence of a key indicating a matching issue. If an issue exists, the workflow proceeds to add a comment to the identified issue, and if not, it creates a new Jira issue. At the false path, the "Add Ticket Comment" node appends a new comment to the existing Jira issue, encapsulating details from the Splunk alert, such as the timestamp and the alert description.

This n8n workflow serves as a powerful cybersecurity and threat intelligence tool to look up URLs or IP addresses through industry standard threat intelligence vendors. It starts with either a form submission or a webhook trigger, allowing users to input data, URLs or IPs that require analysis. The workflow then splits into two paths depending on whether the input data is an IP or URL. If an IP was given, it sets the ip variable to the IP; however if a URL was given the workflow will perform a DNS lookup using Google Public DNS and sets the ip variable based on the results from Google. The workflow then checks the obtained IP addresses against GreyNoise services, with one branch utilizing GreyNoise RIOT IP Lookup to assess IP reputation and association with known benign services, and the other using GreyNoise IP Context to evaluate potential threats. The results from both GreyNoise services are merged to create a comprehensive analysis which includes the IP, classification (benign, malicious, or unknown), IP location, tags to identify activity or malware, category, and trust level. In parallel, a VirusTotal scan is initiated for the URL/IP to identify if it is malicious. A 5-second wait ensures proper processing, and the workflow subsequently polls the scan result to determine when the analysis is complete. The workflow then summarizes the analysis including the overall security vendor analysis results, blockList analysis, OpenPhish analysis, the URL, and the IP. Finally, the workflow combines the summarized intelligence from both GreyNoise and VirusTotal to provide a thorough analysis of the URL/IP. This summarized intelligence can then be emailed to the user that filled out the form via Gmail or it can be sent to the user via a Slack message. Setting up this workflow may require proper configuration of the form submission or webhook trigger, and ensuring that the GreyNoise and VirusTotal API credentials are correctly integrated. Users should also consider the potential volume of data and API rate limits, as excessive requests could lead to issues. Proper documentation and validation of input data are crucial to ensure accurate and meaningful results in the final report.

This n8n workflow automates the handling of security detections from CrowdStrike, streamlining incident response and notification processes. The workflow is triggered daily at midnight by the Schedule Trigger node. It begins by fetching recent security detections from CrowdStrike using an HTTP Request node. The response is then split into individual detections for further processing. Each detection is enriched by querying the CrowdStrike API for detailed information using another HTTP Request node. The workflow then processes these detections sequentially using the Split In Batches node. Next, it looks up behavioral information associated with each detection in VirusTotal using two HTTP Request nodes. One node queries VirusTotal based on SHA256 values, and the other based on IOC (Indicator of Compromise) values. The workflow includes a 1-second pause using the Wait node to prevent rate limiting when making requests to the VirusTotal API. Subsequently, the workflow sets fields with relevant details from both CrowdStrike and VirusTotal, including detection links, confidence scores, filenames, usernames, and more. These details are concatenated using an Item Lists node for each detection. The final step involves creating Jira issues for each detection, including summaries with CrowdStrike alert severity and hostnames, as well as descriptions that incorporate information from CrowdStrike and VirusTotal. Information about this issue is then sent via a Slack message to a Slack user. Potential issues during setup might include configuring the Schedule Trigger node to trigger at the correct time zone and handling potential rate limiting from the VirusTotal API, which could lead to throttled requests. Additionally, the note about a possible typo in the URL for the Virustotal nodes should be addressed to ensure correct API calls. The Jira node may need to be replaced with the latest version for compatibility. Properly configuring API credentials and handling errors that may occur during API requests are essential for a smooth workflow operation. Careful testing with sample data is recommended to validate the workflow's functionality and ensure it aligns with your organization's security incident response processes.

This n8n workflow automates the monitoring and notification of Palo Alto Networks security advisories. It is triggered manually from within the n8n UI or scheduled to run daily at midnight using the Schedule Trigger. The workflow begins by fetching the latest security advisories from Palo Alto Networks' RSS feed. Each advisory is then processed, and relevant information is extracted and categorized, including the advisory type, subject, and severity. The workflow checks the publication date of each advisory to ensure that it was posted within the last 24 hours, filtering out older advisories. The workflow then splits into two paths based on the advisory type: GlobalProtect and Traps. In the GlobalProtect path, advisories related to GlobalProtect are identified and used to create Jira issues. The Jira issues include a summary with the advisory title and a description that provides details about the advisory, its severity, link, and publication date. In the Traps path, advisories related to Traps are recognized, and dummy data (which should be replaced with logic to retrieve valid user emails) is generated for sample purposes. These email addresses are then used to send email notifications using the Gmail node. Each email's subject includes the type of advisory, while the body contains the advisory title and a link for more information. Potential issues when setting up this workflow for the first time might involve configuring the Schedule Trigger to match the desired time zone. Additionally, ensuring that the Jira and Gmail nodes are configured correctly with the required credentials and email addresses is crucial. The placeholder for generating dummy data for email recipients should be replaced with logic to retrieve valid user emails. Proper error handling and testing with real and sample advisories can help identify and resolve any potential issues during setup.

This n8n workflow provides a comprehensive automation solution for processing email attachments, specifically targeting enhanced security protocols for organizations that use platforms like Outlook. It starts with the IMAP node, which is set to ingest emails and identify those with .eml attachments. Once an email with an attachment is ingested, the workflow progresses to a conditional operation where it checks for the presence of attachments. If an attachment is found, the binary data is moved and converted to JSON format, preparing it for further analysis. This meticulous approach to detecting attachments is crucial for maintaining a robust security posture, allowing for the proactive identification and handling of potentially malicious content. In the subsequent stage, the workflow leverages the capabilities of Sublime Security by analyzing the email attachment. The binary file is scrutinized for threats, and upon detection, the information is split to matched and unmatched data. This process not only speeds up the threat detection mechanism but also ensures compatibility with other systems, such as Slack, resulting in a smooth and efficient workflow. This automation emphasizes operational efficiency with minimal user involvement, enhancing the organization's defense against cyber threats. The final phase of the workflow involves preparing the output for a Slack report. Whether a threat is detected or not, n8n ensures that stakeholders are immediately informed by dispatching comprehensive reports or notifications to Slack channels. This promotes a culture of transparency and prompt action within the team.

This n8n workflow, which runs every Monday at 5:00 AM, initiates a comprehensive process to monitor and analyze network security by scrutinizing IP addresses and their associated ports. It begins by fetching a list of watched IP addresses and expected ports through an HTTP request. Each IP address is then processed in a sequential loop. For every IP, the workflow sends a GET request to Shodan, a renowned search engine for internet-connected devices, to gather detailed information about the IP. It then extracts the data field from Shodan's response, converting it into an array. This array contains information on all ports Shodan has data for regarding the IP. A filter node compares the ports returned from Shodan with the expected list obtained initially. If a port doesn't match the expected list, it is retained for further processing; otherwise, it's filtered out. For each such unexpected port, the workflow assembles data including the IP, hostnames from Shodan, the unexpected port number, service description, and detailed data from Shodan like HTTP status code, date, time, and headers. This collected data is then formatted into an HTML table, which is subsequently converted into Markdown format. Finally, the workflow generates an alert in TheHive, a popular security incident response platform. This alert contains details like the title indicating unexpected ports for the specific IP, a description comprising the Markdown table with Shodan data, medium severity, current date and time, tags, Traffic Light Protocol (TLP) set to Amber, a new status, type as 'Unexpected open port', the source as n8n, a unique source reference combining the IP with the current Unix time, and enabling follow and JSON parameters options. This comprehensive workflow thus aids in the proactive monitoring and management of network security.

This workflow uses AI to analyze customer sentiment from product feedback. If the sentiment is negative, AI will determine whether offering a coupon could improve the customer experience. Upon completing the sentiment analysis, the workflow creates a personalized email templates. This solution streamlines the process of engaging with customers post-purchase, particularly when addressing dissatisfaction, and ensures that outreach is both personalized and automated. This workflow won the 1st place in our last AI contest. Note that to use this template, you need to be on n8n version 1.19.4 or later.

This n8n workflow is designed to analyze email headers received via a webhook. The workflow splits into two main paths based on the presence of the received and authentication results headers. In the first path, if received headers are present, the workflow extracts IP addresses from these headers and then queries the IP Quality Score API to gather information about the IP addresses, including fraud score, abuse history, organization, and more. Geolocation data is also obtained from the IP-API API. The workflow collects and aggregates this information for each IP address. In the second path, if authentication-results headers are present, the workflow extracts SPF, DKIM, and DMARC authentication results. It then evaluates these results and sets fields accordingly (e.g., SPF pass/fail/neutral). The paths merge their results, and the workflow responds to the original webhook with the aggregated analysis, including IP information and authentication results. Potential issues during setup include ensuring proper configuration of the webhook calls with header authentication, handling authentication and API keys for the IP Quality Score API, and addressing any discrepancies or errors in the logic nodes, such as handling SPF, DKIM, and DMARC results correctly. Additionally, thorough testing with various email header formats is essential to ensure accurate analysis and response.

This n8n workflow is designed for security monitoring and incident response when suspicious login events are detected. It can be initiated either manually from within the n8n UI for testing or automatically triggered by a webhook when a new login event occurs. The workflow first extracts relevant data from the incoming webhook payload, including the IP address, user agent, timestamp, URL, and user ID. It then splits into three parallel processing paths. In the first path, it queries GreyNoise's Community API to retrieve information about the investigated IP address. Depending on the classification and trust level received from GreyNoise, the alert is given a High, Medium, or Low priority. This priority is assigned based on the best practices documentation from GreyNoise on how to apply their data to analysis. Once a priority is assigned, a message is sent to a Slack channel to notify users about the alert. The second path involves fetching geolocation data about the IP address using IP-API's Geolocation API and merging it with data from the UserParser node. This data is then combined with the data obtained from GreyNoise. In the third path, the UserParser node queries the Userparser IP address and user agent lookup API to obtain information about the user's IP and user agent. This data is merged with the IP-API data and GreyNoise data. The workflow then checks if the IP address is considered an unknown threat by examining both the noise and riot fields from GreyNoise. If it is considered an unknown threat, the workflow proceeds to retrieve the last 10 login records for the same user from a Postgres database. If there are any discrepancies in the login information, indicating a new location or device/browser, the user is informed via email. Potential issues when setting up this workflow include ensuring that credentials are correctly entered for GreyNoise and UserParser nodes, and addressing any discrepancies in the data sources that could lead to false positives or negatives in threat detection. Additionally, the usage of hardcoded API keys should be replaced with credentials for security and flexibility. Thorough testing and validation with sample data are crucial to ensure the workflow performs as expected and aligns with security incident response procedures.

Description: This template facilitates the transfer of a folder, along with all its files and subfolders, within a Nextcloud instance. The Nextcloud user must have access to both the source and destination folders. While Nextcloud allows folder movement, complications may arise when dealing with external storage that has rate limits. This workflow ensures the individual transfer of each file to avoid exceeding rate limits, particularly useful for setups involving external storage with rate limitations. How it works: Identify all files and subfolders within the specified source folder. Recursive search within subfolders for additional files. Replicate the folder structure in the target folder. Individually move each identified file to the corresponding location in the target folder. Set up steps: Set Nextcloud credentials for all Nextcloud nodes involved in the process. -Edit the trigger settings. Detailed instructions can be found within the respective trigger configuration. Initiate the workflow to commence the folder transfer process. Help If you need assistance with applying this template, feel free to reach out to me. You can find additional information about me and my services here. => https://nicokowalczyk.de/links I have also produced a video where I explain the workflow and provide an example. You can find this video over here. https://youtu.be/K1kmG_Q_jRk Cheers. Nico Kowalczyk

Intro This workflow needs a user to authenticate by using an openid connect provider in order to call the webhook. If the user is not authenticated, it starts a login process by using an Authorization Code with PKCE https://datatracker.ietf.org/doc/html/rfc7636, a standard way to authenticate users with openid connect. Then, after the user logs in, the webhook is refreshed and gets the user's token from a cookie. With this token, all details about the user are requested through the userinfo endpoint on the identity provider. How to set up with Keycloak Keycloak Keycloak is an open source identity and access management solution. Feel free to get a demo realm at https://please-open.it or get your own Keycloak server up and running. After creating a realm, go to "Realm Settings" and click on "OpenID Endpoint Configuration" Retrieve authorization_endpoint, token_endpoint and userinfo_endpoint values. Set those variables in the "Set variables" node. In Keycloak, create a new client (name it as you want) Disable the client authentication, check only "standard flow" : At the third step, put the webhook url in "valid redirect URIs", fill "Web origins" with a "+". You're done, open the webhook and it asks you to authenticate. Usage User informations The userinfo node returns this structure about the user has logged in : [ { "sub":"73a6543f-f420-4fa6-9811-209e903c348b", "email_verified":true, "preferred_username": "mathieu.passenaud@please-open.it", "email": "mathieu.passenaud@please-open.it" } ] I can use those infos in my workflow for custom operations. APIs calls the "code" node returns me a cookie named "n8n-custom-auth" which is the access_token returned by the identity provider. This access_token can be used to call APIs connected to this identity provider (for example, we call userinfo API with this token). Example : asks a user to log in with his Google account then call an API (Gmail, drive...) with his own token. How it works We published a blog post about this flow, how it works and how you can use it : https://blog.please-open.it/n8n-openid-client/

⚙️🛠️🚀🤖🦾 This template is a PoC of a ReAct AI Agent capable of fetching random pages (not only Wikipedia or Google search results). On the top part there's a manual chat node connected to a LangChain ReAct Agent. The agent has access to a workflow tool for getting page content. The page content extraction starts with converting query parameters into a JSON object. There are 3 pre-defined parameters: url** – an address of the page to fetch method** = full / simplified maxlimit** - maximum length for the final page. For longer pages an error message is returned back to the agent Page content fetching is a multistep process: An HTTP Request mode tries to get the page content. If the page content was successfuly retrieved, a series of post-processing begin: Extract HTML BODY; content Remove all unnecessary tags to recude the page size Further eliminate external URLs and IMG scr values (based on the method query parameter) Remaining HTML is converted to Markdown, thus recuding the page lengh even more while preserving the basic page structure The remaining content is sent back to an Agent if it's not too long (maxlimit = 70000 by default, see CONFIG node). NB: You can isolate the HTTP Request part into a separate workflow. Check the Workflow Tool description, it guides the agent to provide a query string with several parameters instead of a JSON object. Please reach out to Eduard is you need further assistance with you n8n workflows and automations! Note that to use this template, you need to be on n8n version 1.19.4 or later.

Description This template will help you verify that incoming calls from a Slack webhook actually come from Slack and not some unknown third-party services. It is mainly used to prevent attacks from malicious bots or individuals. This is a Sub-Workflow, so it should be used inside the main workflow that contains the webhook listening for Slack requests. How to Use What to Edit You should set the Slack Signing Secret that you can find on your Slack App dashboard in the general tab. It should be located under the following URL: https://api.slack.com/apps/[SLACK_APP_ID]/general Input The input should be the received Slack request. This workflow should then be placed directly after the Slack Webhook. Outputs Success Output If the signature was verified successfully, we return a key verified_signature set to true along with data from the Slack request itself. Error Output When the signature could not be verified, we raise an error. You can handle this case in your main workflow by using an Error Workflow or by changing your node settings and choosing some actions in case of an error. Changelog Version 1.0.1 (2023-12-11) Changed replace by replaceAll in JS code in case of several arguments. Added some custom replacements that encodeURIComponent does not take into account

This template can be used as a real-time listening and processing of search results with Icypeas. Be sure to have an active account to use this template. How it works This workflow can be divided into two steps : A webhook node to link your Icypeas account with your n8n workflow. A set node to retrieve the relevant informations. Set up steps You will need a working icypeas account to run the workflow and you will have to paste the production URL provided by the n8n webhook node.

This workflow shows how you can get your OpenAI assistant to call an n8n workflow as a tool. Since you can put almost any functionality in an n8n workflow, this means you can give your assistant access to almost any data source. Note that to use this template, you need to be on n8n version 1.19.4 or later.

This AI agent can access data provided by another n8n workflow. Since that workflow can be used to retrieve any data from any service, this template can be used give an agent access to any data. Note that to use this template, you need to be on n8n version 1.19.4 or later.

n8n does not currently offer a way to retrieve emails from arbritrary providers via a regular node. Unless you're using Gmail or Outlook, you can only use the email trigger to start a workflow when a new email arrives. This currently limits the possible use cases you can cover in your n8n workflows, as you cannot (for example) get an idea of how many unread messages there are in an inbox, or search for specific messages when an event occurs. But fear not, there's a new sheriff in town! The JMAP standard allows you to interact with your mailboxes, calendars and contacts through single HTTP requests whenever needed. This n8n workflow demonstrates how to retrieve the total number of unread messages from a JMAP server and also retrieve details for the first 3 messages. It can easily be adapted to search for messages other than unread, or to return details for more than the first 3 messages. Screenshots FAQ Which n8n version do I need? The workflow was built using n8n 1.20 and should work here out of the box. HTTP requests are also supported on older n8n versions, so the workflow can be backported as an alternative. Which credentials do I need? The JMAP standard does not limit the available authentication options. Fastmail (the sponsor of the standard) supports Bearer authentication as well as OAuth2. In n8n you can implement the Fastmail Bearer authentication by creating Header Auth credentials with a name of Authorization and a value of Bearer $apiToken (replacing $apiToken with your actual API token from Fastmail). For other services you'd need to check the respective API documentation for more details on the support authentication methods. What even is JMAP? It's an official Internet Engineering Task Force (IETF) standard, sponsored by Fastmail, that will hopefully replace the legacy standards CalDAV, CardDAV, and IMAP soon. The full specs are available here. How can I use JMAP? If you're a Fastmail customer or if you're hosting your own Stalwart mail server you can use JMAP today. If your email provider doesn't yet support JMAP, you might want to contact them and let them know you're interested in this functionality.

This workflow will allow you to enrich in real-time a form submission from Webflow using Datagma. Based on the result of this workflow, a specific Calendly link will be shown on the website. If the process outcome is '1', a link for a one-on-one demo will be provided. If the process outcome is '2', a link for a group demo will be shown. Full guide here: Real-time Lead Routing

This workflow connects Telegram bots with LangChain nodes in n8n. The main AI Agent Node is configured as a Conversation Agent. It has a custom System Prompt which explains the reply formatting and provides some additional instructions. The AI Agent has several connections: OpenAI GPT-4 model is called to generate the replies Window Buffer Memory stores the history of conversation with each user separately There is an additional Custom n8n Workflow tool (Dall-E 3 Tool). AI Agent uses this tool when the user requests an image generation. In the lower part of the workflow, there is a series of nodes that call Dall-E 3 model with the user Telegram ID and a prompt for a new image. Once image is ready, it is sent back to the user. Finally, there is an extra Telegram node that masks HTML syntax for improved stability in case the AI Agent replies using the unsupported format.

This node is designed to cleanse URLs and extract their domain names efficiently. It effectively handles a wide range of URL formats, including those with unconventional or complex top-level domains (TLDs), such as 'co.uk'. You can also use it to extract the domain from an email. The node will also check if the domain is from a free email provider (gmail.com / outlook.com...etc) or not. How It Works The node analyzes the provided URL, removing any unnecessary elements. It then identifies and extracts the domain name, ensuring compatibility with a diverse array of TLDs. The node utilizes an extensive list of TLDs to guarantee accurate domain extraction for virtually any URL. To view the complete list of supported top-level domains, please visit: TLD List on GitHub How to use it Call this workflow using the "execute workflow" node You can pass either an email variable or a url variable. For email, the node also detect free mail provider such as Yahoo / Google...etc

About the workflow The workflow reads every reply that is received from a cold email campaign and qualifies if the lead is interested in a meeting. If the lead is interested, a deal is made in pipedrive. You can add as many email inboxes as you need! Setup: Add credentials to the Gmail, OpenAI and Pipedrive Nodes. Add a in_campaign field in Pipedrive for persons. In Pipedrive click on your credentials at the top right, go to company settings > Data fields > Person and click on add custom field. Single option [TRUE/FALSE]. If you have only one email inbox, you can delete one of the Gmail nodes. If you have more than two email inboxes, you can duplicate a Gmail node as many times as you like. Just connect it to the Get email node, and you are good to go! In the Gmail inbox nodes, select Inbox under label names and uncheck Simplify.

This N8N workflow automates the process of sharing files from Google Drive. It includes OAuth2 authentication, batch processing, public link generation, and access status modification for efficient file handling. Suitable for users seeking to streamline their Google Drive file sharing process. sutiable for bulk actions, tested on 4.2K files folder working like charm. How It Works Initialize Workflow: The process begins with a Manual Trigger, allowing the user to start the workflow at their convenience. Folder ID Specification: A 'Set Folder ID' node where the user can enter the desired Google Drive Folder ID. List Files from Google Drive: The 'Google Drive' node lists all files within the specified folder using OAuth2 authentication. Batch Processing: The 'Loop Over Items' node processes the files in batches for efficiency. Generate Public Links: The 'Generate Download Links' node creates downloadable links for each file. Change File Access: The 'Change Status' node alters the file status to make them publicly accessible. Merge and Output: A 'Merge' node consolidates the data, preparing it for further actions or output. Set Up Steps Estimated Time**: The setup should take approximately 10-15 minutes. Initial Setup**: You'll need to provide OAuth2 credentials for Google Drive and specify a folder ID. Customization**: Adjust the batch size and file access permissions according to your needs. Detailed Descriptions**: For specific configuration details, refer to the sticky notes within the workflow. Example Item output { "link": "https://drive.google.com/u/3/uc?id=1hojqPfXchNTY8YRTNkxSo-8txK9re-V4&export=download&confirm=t&authuser=0", "name": "firefox_rNjA0ybKu7.png", "kind": "drive#permission", "id": "anyoneWithLink", "type": "anyone", "role": "reader", "allowFileDiscovery": false } You can store the output data with any data store node you want, for example save them into Excel Sheet or Airtable etc... Keywords: n8n workflow, Google Drive integration, file sharing automation, batch file processing, public link generation, OAuth2 authentication, workflow automation

A robust n8n workflow designed to enhance Telegram bot functionality for user management and broadcasting. It facilitates automatic support ticket creation, efficient user data storage in Redis, and a sophisticated system for message forwarding and broadcasting. How It Works Telegram Bot Setup: Initiate the workflow with a Telegram bot configured for handling different chat types (private, supergroup, channel). User Data Management: Formats and updates user data, storing it in a Redis database for efficient retrieval and management. Support Ticket Creation: Automatically generates chat tickets for user messages and saves the corresponding topic IDs in Redis. Message Forwarding: Forwards new messages to the appropriate chat thread, or creates a new thread if none exists. Support Forum Management: Handles messages within a support forum, differentiating between various chat types and user statuses. Broadcasting System: Implements a broadcasting mechanism that sends channel posts to all previous bot users, with a system to filter out blocked users. Blocked User Management: Identifies and manages blocked users, preventing them from receiving broadcasted messages. Versatile Channel Handling: Ensures that messages from verified channels are properly managed and broadcasted to relevant users. Set Up Steps Estimated Time**: Around 30 minutes. Requirements**: A Telegram bot, a Redis database, and Telegram group/channel IDs are necessary. Configuration**: Input the Telegram bot token and relevant group/channel IDs. Configure message handling and user data processing according to your needs. Detailed Instructions**: Sticky notes within the workflow provide extensive setup information and guidance. Live Demo Workflow Bot: Telegram Bot Link (Click here) Support Group: Telegram Group Link (Click here) Broadcasting Channel: Telegram Channel Link (Click here) Keywords: n8n workflow, Telegram bot, chat ticket system, Redis database, message broadcasting, user data management, support forum automation

This n8n template provides a comprehensive solution for managing Key-Value (KV) pairs using Cloudflare's KV storage. It's designed to simplify the interaction with Cloudflare's KV storage APIs, enabling users to perform a range of actions like creating, reading, updating, and deleting namespaces and KV pairs. Features Efficient Management**: Handle multiple KV operations seamlessly. User-Friendly**: Easy to use with pre-configured Cloudflare API credentials within n8n. Customizable**: Flexible for integration into larger workflows (Copy / paste your prefered part). Prerequisites n8n workflow automation tool (version 1.19.0 or later). A Cloudflare account with access to KV storage. Pre-configured Cloudflare API credentials in n8n. Workflow Overview This workflow is divided into three main sections for ease of use: Single Actions: Perform individual operations on KV pairs. Bulk Actions: Handle multiple KV pairs simultaneously. Specific Actions: Execute specific tasks like renaming namespaces. Key Components Manual Trigger**: Initiates the workflow. Account Path Node**: Sets the path for account details, a prerequisite for all actions. HTTP Request Nodes**: Facilitate interaction with Cloudflare's API for various operations. Sticky Notes**: Provide quick documentation links and brief descriptions of each node's function. Usage Setup Account Path: Input your Cloudflare account details in the 'Account Path' node. you can get your account path by your cloudflare URL Choose an Action: Select the desired operation from the workflow. Configure Nodes: Adjust parameters in the HTTP request nodes as needed. (each node contain sticky note with direct link to it own document page) Execute Workflow: Trigger the workflow manually to perform the selected operations. Detailed Node Descriptions I covered in this Workflow the full api calls of Cloudflare KV product. API NODE: Delete KV Type**: HTTP Request Function**: Deletes a specified KV pair within a namespace. Configuration**: This node requires the namespace ID and KV pair name. It automatically fetches these details from preceding nodes, specifically from the "List KV-NMs" and "Set KV-NM Name" nodes. Documentation**: Delete KV Pair API API NODE: Create KV-NM Type**: HTTP Request Function**: Creates a new Key-Value Namespace. Configuration**: Users need to input the title for the new namespace. This node uses the account information provided by the "Account Path" node. Documentation**: Create Namespace API API NODE: Delete KV1 Type**: HTTP Request Function**: Renames an existing Key-Value Namespace. Configuration**: Requires the old namespace name and the new desired name. It retrieves these details from the "KV to Rename" and "List KV-NMs" nodes. Documentation**: Rename Namespace API API NODE: Write KVs inside NM Type**: HTTP Request Function**: Writes multiple Key-Value pairs inside a specified namespace. Configuration**: This node needs a JSON array of key-value pairs along with their namespace identifier. It fetches the namespace ID from the "List KV-NMs" node. Documentation**: Write Multiple KV Pairs API API NODE: Read Value Of KV In NM Type**: HTTP Request Function**: Reads the value of a specific Key-Value pair in a namespace. Configuration**: Requires the Key's name and Namespace ID, which are obtained from the "Set KV-NM Name" and "List KV-NMs" nodes. Documentation**: Read KV Pair API API NODE: Read MD from Key Type**: HTTP Request Function**: Reads the metadata of a specific Key in a namespace. Configuration**: Similar to the "Read Value Of KV In NM" node, it needs the Key's name and Namespace ID, which are obtained from the "Set KV-NM Name" and "List KV-NMs" nodes. Documentation**: Read Metadata API > The rest can be found inside the workflow with sticky/onflow note explain what to do. Best Practices Modular Use**: Extract specific parts of the workflow for isolated tasks. Validation**: Ensure correct namespace and KV pair names before execution. Security**: Regularly update your Cloudflare API credentials for secure access, and make sure to give your API only access to the KV. Keywords: Cloudflare KV, n8n workflow automation, API integration, key-value storage management.

How it works? This workflows sends you a monthly lists of live music events for a specific location. Events are fetched from songkick.com and delivered to you by email to a provided email address(es). Each event in the list has a link to a full SongKick page where you can see more details about the event and buy tickets for it. Example email: How to set it up? First thing that this workflow needs is a location link for your desired city from the SongKick website. You can get it by following these steps: Visit songkick.com and enter the city name in the search box: From the results page, click the result that contains the location info. These will have the Location tag on top of the location name: Once on the location page, copy the url Back in the n8n workflow page, paste the url in the location parameter of the node called Setup location and email: Second thing it needs is the email address which will receive the monthly list. For this, simply enter it in the email field of the Setup location and email node. If you want to set multiple receivers, simply separate email addresses by ,: Required accounts This workflow requires you to have a properly set up Gmail account that will be used by Gmail Node to send emails. You can read more about how to create credentials for a Gmail node in n8n documentation here.

Overview This n8n workflow is specifically designed to monitor USDT TRC20 transactions within a specified wallet. It utilizes the public blockchain database of TronScan, requiring no API authentication, to periodically check and process transaction data. This workflow is ideal for users who need an automated solution to track their TRC20 wallet transactions. Features Automated Tracking**: Executes every 15 minutes to capture new transactions. Customizable Filters**: Tailors the tracking based on specific parameters like transaction time and wallet addresses. Data Aggregation**: Compiles transaction data into a single, structured list. Formatted Outputs**: Presents transaction data in an organized and comprehensible format. Requirements N8N (self-hosted or cloud version) setup and operational. Basic understanding of N8N workflows and nodes. Setup and Configuration Import Workflow: Load the provided JSON workflow into your N8N instance. Configure Edit Fields Node: Enter your TRC20 wallet address in the 'Your Wallet Address' field. Adjust 'Number of transactions to retrieve per request' if necessary. (Default one set to 20 which is recommanded) TronScan Data Access: The workflow accesses TronScan's public blockchain data, so no additional configuration is required for API access. Schedule Trigger Node: Defaulted to trigger every 15 minutes. Modify as per your requirements. Test the Workflow: Execute the workflow manually to ensure everything is operating correctly. How it Works Schedule Trigger: Initiates the workflow at predetermined intervals. Edit Fields: Sets up the wallet address and transaction retrieval count. TronScan Data Retrieval: Gathers transaction data from the TRC20 wallet using TronScan's public database. Split Out & Filter: Processes and filters the transaction data. Final Results: Organizes and formats the required transaction data for review. Aggregate: Consolidates all records (items) into a one comprehensive list (item). Customization Modify the filter conditions and fields to suit your tracking needs. (for example you can higher or lower the number of time to filter or IN / OUT transactions - Default is 15m/IN) Adjust the schedule trigger frequency according to your preference (default is 15m). Best Practices Regularly test the workflow to ensure consistent performance. Stay updated with any changes to the structure of TronScan's public data that might affect the workflow. Contributing Your feedback and contributions are greatly appreciated. Feel free to adapt, modify, and share enhancements with the n8n community.

This Template gives the ability to monitor all uplinks for your Meraki Dashboard and then alert your team in a method you prefer. This example is a Teams notification to our Dispatch Channel Setup will probably take around 30 minutes to 1h provided with the Template. Most time intensive steps are getting a Meraki API key which I go over and setting up the Teams node which n8n has good documentation for. Tutorial & explanation https://www.youtube.com/watch?v=JvaN0dNwRNU

What it does: This automation will dynamically create Slack channels for your Webflow forms and send formatted messages to those channels for every form submission you receive. When a new form is dedected, a message is sent in the #general Slack channel with a hyperlink to the new channel. This is useful for: Webflow form submissions can only notify a single user email as standard, but by using this workflow you can notify team members of new submissions instead of having to login into Webflow to go download form submissions. Usage guide Full written and video guide The main steps are to create credentials for Webflow and Slack, connect them, and start using the workflow. The video guide illustrates a realword usecase using a Webflow template. The video also breaks down each node in detail to explain what it does in case you want to make modifications.

What this does: This automation will dynamically create channels on your Discord server for each of your Webflow forms then send formatted form submissions as messages in those channels. This is useful for Webflow will only notify a single email of a form submission. By using this workflow you can enhance your Webflow form management by receiving them in Discord. This is great if you need to notify multiple team members or communities of your form submissions. Usage guide Full written and video guide Simply create credentials for Webflow and Discord and connect them to the nodes. The video guide demonstrates a realworld usecase using a Webflow template and breaks down each node in detail about how it works.

What this does This automation will create tables in your Airtable base and send Webflow form submissions as records in those tables. It keeps track of your Webflow forms with a Form Index table to ensure that form content does not get sent to the wrong table if you have Webflow forms with identical names. This is useful for Enhancing your Webflow form submission management. By sending structured data to your Airtable base you can do more with your Webflow forms. Usage guide Full written and video guide This automation is made to be as low effort as possible to start enhancing your Webflow forms. Simply create credentials for Webflow and a Personal Access Token for your Airtable base and connect them to the relevant nodes. The guide demonstrates a realworld example using a Webflow template and breaksdown the flow and logic for all the nodes.

This workflow allows to scrape Google Maps data in an efficient way using SerpAPI. You'll get all data from Gmaps at a cheaper cost than Google Maps API. Add as input, your Google Maps search URL and you'll get a list of places with many data points such as: phone number website rating reviews address And much more. Full guide to implement the workflow is here: https://lempire.notion.site/Scrape-Google-Maps-places-with-n8n-b7f1785c3d474e858b7ee61ad4c21136?pvs=4

Overview This N8N workflow facilitates advanced URL parsing and shortening, incorporating metadata extraction, OpenGraph tag handling, and integration with Switchy API for link management. It employs various nodes for URL processing, metadata extraction, and creation or updating of shortened links with enriched metadata. Features URL Metadata Extraction:** Parses URLs to extract metadata such as titles, descriptions, images, and favicons. OpenGraph API Integration:** Utilizes OpenGraph API for detailed metadata retrieval. Switchy API Integration:** Manages shortened links via the Switchy API. GitHub API Integration:** Uses GitHub for hosting images related to the URLs. Screenshot Capabilities:** Captures screenshots of web pages as part of metadata. API Authorization and Configuration:** Manages API keys and configurations for external service integration. Workflow Structure Split In Batches: Processes URLs in batches. API Auth: Configures API authorization. URL Processing Nodes: Extract metadata using various nodes like Get Headers, OpenGraph API, and Meta tags Scraper. Conditional Nodes: Include IF OpenGraph Invalid and If - Enable ScreenShots for logic handling. Data Aggregation: Uses nodes like Method 1 - META for final metadata aggregation. Switchy API: Handles link creation and updating. GitHub Integration: Hosts screenshots and images on a personal GitHub repository. Final Output: Provides the shortened URL after processing. API Stack | API | Description | |---------------------------------|-------------------------------------------------| | switchy | For creating and updating shortened links. | | opengraph | To retrieve URL metadata using OpenGraph tags. | | dub.sh | Used for scraping meta tags from web pages. | | microlink | Captures screenshots of web pages. | | pxl.to | Alternative service for capturing screenshots. | | favicone | Retrieves favicons for given URLs. | | github | Hosts images and screenshots on GitHub repo. | | statically | Used for CDN services and image hosting. | | Other APIs | Additional APIs used for various purposes. | GitHub Repository Setup To use this workflow, ensure your GitHub API is linked for hosting images. Set up a repository where the workflow can upload screenshots and other related images. This repository will be referenced in the workflow nodes where images are handled. Configuration Before running the workflow, set up the necessary API keys and configurations in the API Auth node. Adjust batch size and other parameters as needed. Error Handling The workflow includes nodes like Stop and Error for robust error handling, post an issue and mention the creator using N8N community. Contributions This workflow is open for community contributions. Enhancements and improvements are welcome.

A n8n workflow designed to shorten URLs using Dub.co API. How it works: It shortens a url using Dub.co API, with the ability to use custom domains and projects. It updates the current shortened url if the slug has been already used. Estimated Time: Around 15 minutes. Requirements: A Dub.co account. Configuration: Configure the "API Auth" node to add your Dub.co API key, project slug, and the long URL. There some extras that you're able to configure too. You will be able to do that by clicking the "API Auth" node and filling the fields. Detailed Instructions: Sticky notes within the workflow provide extensive setup information and guidance. Keywords: n8n workflow, dub.co, dub.sh, url shortener, short urls, short links

Hello there! This is a supporting workflow for an Airtable Base that handles Recurring Tasks. The objective of the workflow is to handle creating tasks on a recurring basis depending on the Airtable Setup You can access that Airtable Template here for complete context- Airtable Universe The functionality of the workflow can be easliy adapted to any data source. Feel free to contact us with any doubts or questions at http://sidetool.co ​ Use this as is, or adapted to your existing Airtable Base – embrace automated simplicity! 🚀🌟

This workflow is a supporting automation to a common Airtable situation, that as of this writing, has no direct solution but has great demand. Interfaces are your secret weapon for managing a variety of tasks – from sales funnels and task tracking to creating dynamic dashboards. But here's a common situation: how do you efficiently bulk upload records (like contacts, leads, or clients) from an interface with just a click? Once set up, you'll be able to upload CSV files directly to your tables from the Interfaces with ease. Workflow Key Points: 1. Bulk Upload Functionality: Say goodbye to the limitations of standard Airtable interfaces. Now, you can upload multiple leads or contacts simultaneously, making your work swift and efficient. 2. Customizable Fields: Tailor the base to meet your specific data needs. This ensures seamless integration with your existing systems and simplifies data management. ​ Perfect for teams in e-commerce, CRM, or any sector where managing a high volume of leads or contacts is key. Our Airtable Base is designed to eliminate the tediousness of importing contacts. It makes large-scale data management straightforward, saving you precious time and hassle. ​ Get ready to streamline your operations and boost your productivity! 🚀💡

This template will create a nightly backup of all your n8n workflows to a Dropbox folder. Each night, the previous night's backups are moved into an "old" folder, and renamed with the date they were taken. Backups over a specified age are deleted. (this is disabled by default for safety until you manually enable and verify it with your own setup) Prerequisites Dropbox account and credentials A destination folder for backups Setup Update all dropbox nodes with your credential Edit the Schedule Trigger node with the desired time to run the backup Edit the DESTINATION FOLDER node to specify the path in dropbox to upload to. This should be a folder and include the trailing / If you want to automatically purge old backups Edit the PURGE DAYS node to specify the age to purge Enable the PURGE DAYS node, and the 3 subsequent nodes Enable the workflow to run on the specified schedule

Get recent funding rounds from Crunchbase in Google Sheets, along with 10+ data points (LinkedIn URL, monthly traffic, company size, etc.) You’ll be able to: Create a custom database Reach out to interesting leads at the right time Send custom alerts to your tools This workflow scrape recent funding rounds from Crunchbase, and add them in Google Sheets. It uses Piloterr API to get this data with ease. Full guide can be found here: https://lempire.notion.site/Get-recent-fundraising-in-Google-Sheets-dafbbda2635544b4925c4fb04abac8f5?pvs=74

Workflow Information 📌 Purpose 🎯 The intention of this workflow is to integrate New Shopify Orders into MS Dynamics Business Central: Point-of-Sale (POS):** POS orders will be created in Business Central as Sales Invoices given no fulfillment is expected. Web Orders:** This type of orders will be created as Business Central Sales Orders. How to use it 🚀 Edit the "D365 BC Environment Settings" node with your own account values (Company Id, Tenanant Id, Tax & Discount Items). Go to the "Shopify" node and edit the connection with your environment. More help here. Go to the "Lookup Customers" node to edit the Business Central connection details with your environment settings. Set the required filters on the "Shopify Order Filter" node. Edit the "Schedule Trigger" node with the required frequency. Useful Workflow Links 📚 Step-by-step Guide/ Integro Cloud Solutions Business Central REST API Documentation Video Demo Need Help? Contact me at: ✉️greg.lopez@integrocloudsolutions.com 📥 https://www.linkedin.com/in/greg-lopez-08b5071b/

LangChain is a framework for building AI functionality that users large language models. By leveraging the functionality of LangChain, you can write even more powerful workflows. This workflow shows how you can write LangChain code within n8n, including importing LangChain modules. The workflow itself produces a summary of a YouTube video, when given the video's ID. Note that to use this template, you need to be on n8n version 1.19.4 or later.

Overview This workflow takes some French text, and translates it into spoken audio. It then transcribes that audio back into text, translates it into English and generates an audio file of the English text. To do so, it uses ElevenLabs (which has a free tier) and OpenAI. Setup These steps should only take a few minutes: In ElevenLabs, add a voice to your voice lab and copy its ID. Add it to the 'Set voice ID' node Get your ElevenLabs API key (click your name in the bottom-left of ElevenLabs and choose ‘profile’) In the 'Generate French audio' node, create a new header auth cred. Set the name to xi-api-key and the value to your API key In the 'credential' field of the 'Transcribe audio' node, create a new OpenAI cred with your OpenAI API key Run the workflow by clicking the orange button at the bottom of the canvas

n8n Creators Template: Creator Profile Stats Updater This n8n workflow template is designed to automate the process of updating a creator's profile statistics, including total workflows, complex workflows, approved workflows, pending workflows, total nodes, and total views. It utilizes various nodes to fetch data, process it, and update a SVG file hosted on GitHub to reflect the latest stats. Workflow Overview Schedule Trigger: Triggers the workflow execution at specified intervals. Config: Sets up configuration details like creator username, colors for text, icons, border, and card. Get Workflows: Fetches workflows associated with the creator from the n8n API. Workflows Data: Processes the fetched data to calculate various statistics. Get User: Fetches user details from the n8n API. Download Image: Downloads the creator's profile image. Extract From File: Extracts binary data from the downloaded image file. SVG: Generates an SVG file with updated stats and visual representation. GitHub: Commits the updated SVG file to the specified GitHub repository. Final: Prepares the final data set for further processing or output. Sticky Note: Provides a visual note or reminder within the workflow editor. Embed & Live Preview Since it's a .SVG format you can host it anywhere. treat it like normal image so you can embed it with any site, forum, page that support posting images. here's example code for markdown: Here's the result Or served through CDN & Cache Setup Instructions GitHub Credentials: Ensure you have GitHub credentials set up in your n8n instance to allow the workflow to commit changes to your repository. Configure Trigger: Adjust the Schedule Trigger node to set the desired execution intervals for the workflow. Set Configuration: Customize the Config node with your GitHub username and preferred aesthetic options for the SVG. Deploy Workflow: Import the workflow into your n8n instance and deploy it. Customization Options Text and Icon Colors**: Customize the colors used in the SVG by modifying the respective fields in the Config node. Profile Image Size**: Adjust the image size in the Download Image node URL if needed. Commit Messages**: Modify the commit messages in the GitHub nodes to suit your version control conventions [I've used $now funaction to include current time in message which will gives allways a diffrent commit value]. Requirements n8n (Self-hosted or Cloud version compatible with 2024 releases and up) GitHub account and repository Basic understanding of n8n workflow configuration Support and Contributions For support, please refer to the n8n community forum or the official n8n documentation. Contributions to the template can be made you're allowed to reuse this workflow and reshare with edit (like new design/colors etc..) under your name.

This workflow allows you to ask questions about the data in a Google Sheet over a chat interface. It uses n8n's built-in chat, but could be modified to work with Slack, Teams, WhatsApp, etc. Behind the scenes, the workflow uses GPT4, so you'll need to have an OpenAI API key that supports it. How it works The workflow uses an AI agent with custom tools that call a sub-workflow. That sub-workflow reads the Google Sheet and returns information from it. Because models have a context window (and therefore a maximum number of characters they can accept), we can't pass the whole Google Sheet to GPT - at least not for big sheets. So we provide three ways of querying less data, that can be used in combination to answer questions. Those three functions are: List all the columns in the sheet Get all values of a single column Get all values of a single row Note that to use this template, you need to be on n8n version 1.19.4 or later.

This workflow is a building block designed to be called from other workflows via an Execute workflow node. When called from another workflow, and given the JSON input of a "pulse" field with the ID to pull from monday, this workflow will return: The items name and ID All column data, indexable by the column name All column data, indexable by the column's ID string All board relation columns, with their data and column values All subitems, with their data and column values For example: ++Prerequisites++ A monday.com account and credential A workflow that needs to get detailed data from a monday.com row The pulse id of the monday.com row to retreive data from. ++Setup++ Import the workflow Configure all monday nodes with your credentials and save the workflow Copy the workflow ID from it's URL In a different workflow, add an Edit Fields node, to output the field "pulse", with the monday item you want to retrieve. Feed the Edit Fields node with your pulse into an Execute workflow node, and paste the workflow ID from above into it This "pulse" field will tell the workflow what pulse to retreive. This can be populated by an expression in your workflow There is an example of the Edit Fields and Execute Workflow nodes in the template

Streamline data from an n8n form into Google Sheet Airtable and and Email Sending Video for workflow process This workflow facilitates efficient data collection and management by leveraging the capabilities of various nodes within the n8n platform. It commences with the n8n Form Trigger node, where users provide their name, location, and email address. Subsequently, the data seamlessly flows through nodes like Google Sheets, Code, Set, Airtable, Gmail, and Gmail1 for processing and storage. n8n Form Trigger:** Gathers user input data, including Name, City, and Email. Google Sheets:** Manages data operations related to Google Sheets. Code:** Executes JavaScript code to manipulate data fields. Set:** Formats and sets data values for further processing. Airtable:** Facilitates data operations specific to Airtable. Gmail:** Sends custom emails to the provided Email address. Gmail:** Sends additional emails using different templates. Each node within the workflow performs specialized tasks such as extracting date and time fields, formatting data, appending it to Google Sheets and Airtable, and sending personalized emails to the submitter. This streamlined process ensures effective handling of collected information and enhances overall data management efficiency. Workflow Description: n8n Form Trigger: A trigger node that initiates the workflow upon form submission. Captures essential user details like Name, City, and Email. Extracting Date and Time Fields from 'submittedAt' Field: Utilizes a code node to extract Date and Time information from the submitted data. Format the Fields: Standardizes the format of extracted fields (Name, City, Date, Time, Email) for consistency. Airtable: Creates a new record in Airtable with the formatted data. Includes columns for Name, City, Email, Time, and Date. Google Sheets: Appends the formatted data to a designated Google Sheet. Includes columns for Name, City, Email, Date, and Time. Gmail: Sends an email to the provided Email address with a customized message. Subject: "Testing Text Message Delivery" Message: Personalized content with a Name placeholder. Gmail1: Sends another email using a different template. Subject incorporates the Date field for variation. Message content tailored to the subject line. Workflow Connections: n8n Form Trigger -> Extracting Date and Time Fields -> Format the Fields -> Google Sheets & Airtable -> Gmail Google Sheets -> Gmail1 This comprehensive workflow efficiently collects user data, processes it to extract Date and Time fields, stores the formatted information in Google Sheets and Airtable, and delivers tailored emails to the recipients. Copy these templates to get started : Google Sheet Airtable Links to Node Documentation: n8n Form Trigger Documentation Code Node Documentation Set Node Documentation Airtable Node Documentation Google Sheets Node Documentation Gmail Node Documentation

Send multiple emails in Gmail directly via Google Sheets [Video for workflow process](https://www.canva.com/design/DAF8VnLBBQA/BKog1CSHs7_goAYse3mEzQ/watch?utm_content=DAF8VnLBBQA&utm_campaign=designshare&utm_medium=link&utm_source=editor ) In today's fast-paced digital world, businesses are constantly seeking ways to streamline their processes and enhance customer engagement. One powerful tool that facilitates these goals is n8n, an automation platform that allows users to create workflows to automate tasks and workflows. Benefits of the Workflow: Efficiency**: By automating the process of sending emails to customers based on data from Google Sheets, this n8n workflow significantly reduces manual effort and saves time. Accuracy**: The workflow ensures that emails are sent to the right recipients at the right time by filtering items based on specific conditions and the current date. Personalization**: Personalized emails can be sent to customers based on the information provided in the Google Sheet, resulting in enhanced customer engagement. Real-time Updates**: The workflow updates the Google Sheet with the status of the sent emails, providing real-time insights into the communication process. Consistency**: Through automation, this workflow helps maintain consistency in communication with customers, ensuring a seamless experience. Workflow Overview: The workflow begins with the "Google Sheets Trigger" node, which monitors a specified Google Sheet for new row additions. Upon detection of a new row, the workflow progresses to the "Filter Status (Waiting for sending)" node, where items are filtered based on specific conditions. Subsequently, the workflow moves to the "Filter Items by Current Date" node, which filters items based on the current date. Items matching the current date are then processed further. The filtered items are then forwarded to the "Gmail" node, where personalized emails are composed and sent to recipients based on the Google Sheet data. Finally, the workflow updates the Google Sheet using the "Google Sheets" node with the status of the sent emails and other relevant information. Copy this template to get started : Google Sheets Workflow Nodes Documentation: Schedule Trigger Filter Items by Current Date Gmail Google Sheets Filter Status (Waiting for sending) Set data Merge feild Conclusion: In conclusion, this n8n workflow presents a powerful solution for automating email communication processes based on Google Sheets data. By leveraging automation, businesses can enhance their operational efficiency, accuracy, and customer engagement. The seamless integration of nodes in this workflow streamlines the communication process and ensures timely and personalized interactions with customers. As businesses continue to prioritize efficiency and customer satisfaction, n8n workflows offer a versatile and effective means to achieve these objectives.

Workflow Description: This workflow automates the synchronization of product data from a Shopify store to a Google Sheets document, ensuring seamless management and tracking. It retrieves product details such as title, tags, description, and price from Shopify via GraphQL queries. The outcome is a comprehensive list of products neatly organized in Google Sheets for easy access and analysis. Key Features: Automated: Runs on a schedule you define (e.g., daily, hourly) to keep your product data fresh. Complete Product Details: Retrieves titles, descriptions, variants, images, inventory, and more. Cursor-Based Pagination: Efficiently handles large product sets by navigating pages without starting from scratch. Google Sheets Integration: Writes product data directly to your designated sheets. Set up Instructions: Set up GraphQL node with Header Authentication for Shopify: Create Google Sheet Credentials: Follow this guide to set up your Google Sheet credentials for n8n: https://docs.n8n.io/integrations/builtin/credentials/google/ Choose your Google Sheet: Select the sheet where you want product information written. For the setup, we need a document with two sheets: 1. for storing Shopify data 2. for storing cursor details. Google sheet template : https://docs.google.com/spreadsheets/d/1I6JnP8ugqmMD5ktJlNB84J1MlSkoCHhAEuCofSa3OSM Schedule and run: Decide how often you want the data refreshed (daily, hourly, etc.) and let n8n do its magic!

How It Works This workflow sends an HTTP request to OpenAI's Text-to-Speech (TTS) model, returning an .mp3 audio recording of the provided text. This template is meant to be adapted for your individual use case, and requires a valid OpenAI credential. Gotchas Per OpenAI's Usage Policies, you must provide a clear disclosure to end users that the TTS voice they are hearing is AI-generated and not a human voice, if you are using this workflow to provide audio output to users.

Use n8n to bring data from any API to your AI. This workflow uses the Chat Trigger to provide the chat interface, and the Custom n8n Workflow Tool to call a second workflow that calls the API. The second workflow uses AI functionality to refine the API request based on the user's query. It then makes an API call, and returns the response to the main workflow. This workflow is used in Advanced AI examples | Call an API to fetch data in the documentation. To use this workflow: Load it into your n8n instance. Add your credentials as prompted by the notes. Requires n8n 1.28.0 or above

Effortlessly optimize your workflow by automatically importing hundreds of manufacturers from a Google Sheet into your Shopware online store, saving countless hours of manual work. How it works Retrieve all manufactures from a Google Sheet Add each manufacture via Shopware sync API Endpoint to Shopware Upload a logo for each manufacture from a provided public URL to Shopware Set Up Steps Add your Shopware url to first node called Settings Create a Google Sheet in your Google account with the following columns (Demo Sheet) name (the name of the manufacturer which has to be unique and is required) website (url to the manufacturer website) description logo_url (public manufcaturer logo url. Have to be a png, jpg or svg file) translation_language_code_1 (optional. Language Code of your language. For example 'es-ES' for spanish. You have to make sure a language with this code exists in your Shopware shop.) translation_name_1 (optional. Manufacturer name translated to the language you defined at translation_language_code_1) translation_description_1 (optional. Manufacturer description translated to the language you defined at translation_language_code_1) translation_language_code_2 (optional. Same as translation_language_code_1 for another language) translation_name_2 (optional. Same as translation_name_1 for another language) translation_description_2 (optional. Same as translation_description_1 for another language) translation_language_code_3 (optional. Same as translation_language_code_1 for another language) translation_name_3 (optional. Same as translation_name_1 for another language) translation_description_3 (optional. Same as translation_description_1 for another language) Connect to your Google account Connect to your Shopware account Create a Shopware Integration Connect to Shopware at the nodes "Import Manufacturer" and "Upload Manufacturer Logo" using a Generic OAuth2 API Authentication with Grant Type "Client Credentials". The Access Token URL is https://your-shopware-domain.com/api/oauth/token. Run the workflow

OpenAI Assistant is a powerful tool, but at the time of writing it doesn't automatically remember past messages from a conversation. This workflow demonstrates how to get around this, by managing the chat history in n8n and passing it to the assistant when required. This makes it possible to use OpenAI Assistant for chatbot use cases. Note that to use this template, you need to be on n8n version 1.28.0 or later.

Having a seamless flow of customer data between your online store and your marketing platform is essential. By keeping your systems synchronized, you can ensure that your marketing campaigns are accurately targeted and effective. The integration between Shopify, a leading e-commerce platform, and Mautic, an open-source marketing automation system, is not available out-of-the-box. However, with a n8n workflow you can bridge this gap with. This template will help you: enhance accuracy in marketing lists by ensuring that subscription changes in Shopify are instantly updated in Mautic. improve compliance with data protection laws by respecting users' subscription preferences across platforms achieve integration without the need for additional plugins or software, minimizing complexity and potential points of failure. This template will demonstrate the follwing concepts in n8n: working with Shopify in n8n control flow with the IF node use Webhooks validate Webhooks with the Crypto node use the GraphQL node to call the Shopify Admin API The template consists of two parts: Sync Email Subscriptions from Shopify to Mautic Sync Email Subscriptions from Mautic to Shopify How to get started? Create a custom app in Shopify get the credentials needed to connect n8n to Shopify This is needed for the Shopify Trigger Create Shopify Acces Token API credentials n n8n for the Shopify trigger node Create Header Auth credentials: Use X-Shopify-Access-Token as the name and the Acces-Token from the Shopify App you created as the value. The Header Auth is neccessary for the GraphQL nodes. Enable the Mautic API under Configuration/API Settings, After the settings are saved you will have an additional entry in your settings menu to create API credentials for n8n Create Mautic credentials in n8n Please make sure to read the notes in the template. For a detailed explanation please check the corresponding video: https://youtu.be/x63rrh_yJzI

Use Case This workflow retrieves all members of a Discord server or guild who have a specific role. Due to limitations in the Discord API, it only returns a limited number of users per call. To overcome this, the workflow uses Google Sheets to track which user we received last to return all Members (of a certain role) from a Discord server in batches of 100 members. Setup Add your Google Sheets and Discord credentials. Create a Google Sheets document that contains ID as a column. We're using this to remember which member we received last. Edit the fields in the setup node Setup: Edit this to get started. You can read up on how to get the Discord IDs via this link. Link to your Discord server in the Discord nodes Activate the workflow Call the production webhook URL in your browser Requirements Admin rights in the Discord server and access to the developer portal of discord Google Sheets Minimum n8n version 1.28.0 Potential Use cases Writing a direct message to all members of a certain role Analysing user growth on Discord regularly Analysing role distributions on Discord regularly Saving new members in a Discord ... Keywords Discord API, Getting all members from Discord via API, Google Sheets and Discord automation, How to get all Discord members via API

Use case When collecting new leads via a form, you need to follow up on new submissions. Often, this required a lot of manual work that includes reviewing each submission, checking if they meet your criteria and then outreaching. With this workflow you can do all of that fully automatically and save a lot of your valuable time. What this workflow does This workflow runs every time you're receiving a new submission from an n8n form. It then filters out typical personal emails (such as Gmail, Hotmail, Yahoo etc.) before enriching the submission via Clearbit. It then checks, if the company of the submitter is a B2B company and has more than 499 employees. If it does, it sends an email via Gmail to the user. Setup Add the Clearbit and Gmail credentials Click on Test Workflow Enter your own email (which needs to be a business email to work) in the Form Check your email Once you're happy don't forget to activate this workflow How to adjust this template Replace the form trigger with your form provider of choice (e.g. Typeform, SurveyMonkey, Google Forms etc.) Adjust the criteria to your needs via the If node Adjust the email you're sending in the Gmail node

Template Information Who is this template for? This template is for users looking to retrieve email information from LinkedIn profiles and update Google Sheets with the collected data. 🎥 quick set up video How it works** The template utilizes a series of nodes to fetch email information from LinkedIn profiles. It starts with a Schedule Trigger node that sets the interval for the workflow. The Conditional Check node verifies if certain fields like Name, Gender, Job Title, Summary, and LinkedIn URL are not empty. The HTTP Request node sends a POST request to the specified URL with API key and profile information. The Data Merge node merges the data collected. The Field Editing node modifies the fields as needed. Finally, the Google Sheets Update node updates the Google Sheets with the gathered information. Set Up Instructions Make sure to have the necessary credentials and permissions for accessing LinkedIn and Google Sheets. Set up the API key required for the HTTP Request node. Configure the Google Sheets Update node with the appropriate document ID and sheet name. Check and adjust field mappings in the Field Editing node according to your needs. Run the workflow and monitor the updates in your Google Sheets document. Overview: The workflow is designed to find contact information for LinkedIn profile URLs stored in a Google Sheet. It involves various nodes for different operations such as making HTTP requests, scheduling triggers, reading from and updating Google Sheets, field editing, data merging, and conditional checks. A video demonstrating the workflow process can be accessed here. Copy this template to get started : Google Sheets Using Prospeo.io LinkedIn Email Finder API with cURL To use the API endpoint "https://api.prospeo.io/linkedin-email-finder" with cURL, follow these steps: Use the cURL command with the following parameters: curl -X POST \ -H "Content-Type: application/json" \ -H "X-KEY: your_api_key" \ -d '{ "url": "https://www.linkedin.com/in/john-doe/" }' \ "https://api.prospeo.io/linkedin-email-finder" Replace "your_api_key" with your actual API key. Update the "url" field in the JSON data with the LinkedIn profile URL for which you want to find the email address. To get access to this API and obtain your API key, you need to sign up on the Prospeo platform and subscribe to their LinkedIn email finder service. Once you have subscribed, you will receive an API key that you can use to authenticate your requests to the API endpoint. Description: Schedule Trigger:** Triggers the workflow based on a defined schedule interval, in this case, based on minutes. Schedule Trigger Node Documentation Google Sheets Read:** Reads data from a Google Sheets document and sheet based on the provided document ID and sheet name. Google Sheets Node Documentation Conditional Check:** Checks multiple conditions based on the input data and performs actions accordingly. Conditional Node Documentation HTTP Request:** Sends an HTTP POST request to a specified URL with headers and body parameters. HTTP Request Node Documentation No Operation, do nothing:** Placeholder node that does not perform any operation. Data Merge:** Merges data based on specified mode and combination settings. Merge Node Documentation Field Editing:** Edits fields by setting specific values for each field based on input data. Set Node Documentation Google Sheets Update:** Updates data in a Google Sheets document and sheet based on specified columns and values. Google Sheets Node Documentation

Use Case This workflow aims to enrich new contacts in Intercom. The more relevant the Intercom profile, the more useful it is. Once active, this n8n workflow will update contact data (phone, email) as well as location data from ExactBuyer. Setup Add a webhook url in Intercom to call this workflow Add your Exact Buyer API key Add your Intercom API key Activate workflow How to adjust this template There's plenty of interesting info that ExactBuyer returns that could be helpful. Take a look and update this workflow to add what you need.

How It works It's very important to come prepared to Sales calls. This often means a lot of manual research about the person you're calling with. This workflow delivers the latest news about businesses you are about to interact with each day. Scans Your Calendar**: Each morning, it reviews your Google Calendar for any scheduled meetings or calls with companies. Fetches Latest News**: For each identified company, it searches the web for the most recent and relevant news articles using newsapi.org Delivers Insights**: You receive personalized emails via Gmail, each dedicated to a company you're meeting with that day, containing a curated list of news headlines, brief descriptions, and direct links to full articles. Setup steps The workflow requires you to have the following accounts set up in their respective nodes: Google Calendar GMail Besides those, there are a few parameters in the node called Setup that can be used to tweak the workflow:

Use Case This workflow aims to enrich new contacts in HubSpot. The more relevant the HubSpot profile, the more useful it is. Once active, this n8n workflow will update the social profiles, contact data (phone, email) as well as location data from ExactBuyer. Setup Add HubSpot trigger credential (be careful, scopes must be exactly as in n8n docs ) Add your Exact Buyer API key Add HubSpot credential for update node (be careful, scopes must be same as n8n docs for this. This is different from the trigger cred) Activate workflow How to adjust this template There's plenty of interesting info that ExactBuyer returns that could be helpful. Take a look and update this workflow to add what you need.

Use case This workflow uses Gmail to send outreach emails to new Hubspot contacts that have yet to be contacted (usually unknown contacts), and records the outreach in Hubspot. Setup Setup HubSpot Oauth2 creds (Be careful with scopes. They have to be exact, not less or more. Yes, it's not simple, but it's well documented in the n8n docs. Be smarter than me, read the docs) Setup Gmail creds. Change the from email and from name in the Record outreach in HubSpot node How to adjust this template to your needs Change the email message in the Set keys node Think about your criteria to reach out to new contacts. Here we simply filter for only contacts with unknown dates.

Use Case When trying to maximize your outreach, website visitors are often an overlooked source of qualified new leads. This workflow allows your to track and enrich new website visitors and saves them to a Google Sheet once they meet a pre-defined criteria. What this workflow does This workflow fires once a day and gets all your leads saved in Leadfeeder. It then takes the leads that meet a pre-defined engagement criteria, e.g. that they visited your site 3 times, and enriches them additionally with Clearbit. From there it filters the leads again by a criteria on the company, e.g. a minimum employee count, and saves matching leads into a Google Sheet document. Setup Add your Leedfeeder credentials. The name should be Authorization and the value Token token=yourapitoken. You can find your token via Settings -> Personal -> API-Token Add your Google Sheet credentials Save the Leedfeeder account names you want to use in the Setup node Copy the Google Sheets Template and add its URL to the Setup node How to adjust this to your needs Adjust and/or remove the engagement and company criteria Add more ways to enrich a company Potential ideas to enhance the use of this workflow Automatically reach out to users that meet the criteria / that get added to the sheet Create a workflow that finds the right employee in companies that are identified by this workflow

Use Case Following up at the right time is one of the most important parts of sales. This workflow uses Gmail to send outreach emails to Hubspot contacts that have already been contacted only once more than a month ago, and records the engagement in Hubspot. Setup Setup HubSpot Oauth2 creds (Be careful with scopes. They have to be exact, not less or more. Yes, it’s not simple, but it’s well documented in the n8n docs. Be smarter than me, read the docs) Setup Gmail creds. Change the email variables in the Set keys node How to adjust this template There's plenty to do here because the approach here is really just a starting point. Most important here is to figure out what your rules are to follow up. After a month? More than once? Also, remember to update the follow-up email! Unless you want to sell n8n 😉

Use case This workflow automatically qualifies great leads from a form and sends them an email 😮.. It also adds the user to Hubspot if not already added and records the outreach. How to setup Add you MadKudu, Hunter, and Gmail credentials Setup your HubSpot Oauth2 creds using n8n docs Set the email content and subject Click the Test Workflow button, enter your email and check the Slack channel Activate the workflow and use the form trigger production URL to collect your leads in a smart way How to adjust this template You may want to raise or lower the threshold for your leads, as you see fit. You also need to update the content (the email and the subject), obviously 😅.

What it does The workflow is a simple yet efficient way to automate the process of indexing your website on Google using the Google Indexing API. How it works It works by extracting information from your sitemap, converting it into a JSON file, and looping through each URL to submit it for indexing. Here's a brief rundown of the workflow: The workflow can be triggered manually via the "Execute Workflow" button or scheduled to run at a specific time using the "Schedule Trigger" node. The sitemap of your website is fetched using the "sitemap_set" node with a HTTP Request to the sitemap URL. This XML sitemap is then converted into a JSON file using the "sitemap_convert" node. The "sitemap_parse" node splits the JSON file into individual URLs. The "url_set" node then prepares each URL to be sent to the Google Indexing API. A loop is created using the "loop" node to process each URL individually and make a POST request to Google Indexing API indicating that the URL has been updated. If the POST request is successful and the URL has been updated, the workflow waits for 2 seconds before moving to the next URL. In case the daily limit for the Google Indexing API is reached (200/day by default), an error message is triggered using the "Stop and Error" node. Before you use the workflow Activate the indexing API Create an account with Google Cloud Platform > Console and then create a new project Search for the Indexing API in the Library Activate the API Create a Service Account and get credentials Open the Service accounts page. If prompted, select a project. Click add Create Service Account, enter a name and description for the service account. You can use the default service account ID, or choose a different, unique one. When done click Create. On the Grant users access to this service account screen, scroll down to the Create key section. Click add Create key. In the side panel that appears, select the JSON format Click Create. Your new public/private key pair is generated and downloaded to your machine. Open the file and copy the private key. Add the credentials in the url_index node Add the user as owner of the site Beware, for each site you need to add the user as a owner like this: Set your sitemap Open the sitemap_set node and add the url to your sitemap. Now you should be able to ensure that Google is always up-to-date with the latest content on your website, improving your website's visibility and SEO rankings, have fun!