Identify new Google Sheets rows

Published 2 years ago

Created by

Tom

Template description

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:

Share Template

More Building Blocks workflow templates

Creating an API endpoint

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

Jonathan

Very quick quickstart

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.

Deborah

Pulling data from services that n8n doesn’t have a pre-built integration for

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.