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Airtable and Text Classifier integration
Save yourself the work of writing custom integrations for Airtable and Text Classifier and use n8n instead. Build adaptable and scalable Data & Storage, AI, and Langchain workflows that work with your technology stack. All within a building experience you will love.
How to connect Airtable and Text Classifier
- Step 1: Create a new workflow
- Step 2: Add and configure nodes
- Step 3: Connect
- Step 4: Customize and extend your integration
- Step 5: Test and activate your workflow
Step 1: Create a new workflow and add the first step
In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Step 2: Add and configure Airtable and Text Classifier nodes
You can find Airtable and Text Classifier in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Airtable and Text Classifier nodes one by one: input data on the left, parameters in the middle, and output data on the right.
Step 3: Connect Airtable and Text Classifier
A connection establishes a link between Airtable and Text Classifier (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.
Step 4: Customize and extend your Airtable and Text Classifier integration
Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Airtable and Text Classifier with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.
Step 5: Test and activate your Airtable and Text Classifier workflow
Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Airtable to Text Classifier or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.
Popular Airtable and Text Classifier workflows
Handling Job Application Submissions with AI and n8n Forms
This n8n template leverages n8n's multi-form feature to build a 2 part job application submission journey which aims to eliminate the need for applicants to re-enter data found on their CVs/Resumes.
How it works
The application submission process starts with an n8n form trigger to accept CV files in the form of PDFs.
The PDF is validated using the text classifier node to determine if it is a valid CV else the applicant is asked to reupload.
A basic LLM node is used to extract relevant information from the CV as data capture. A copy of the original job post is included to ensure relevancy.
Applicant's data is then sent to an ATS for processing. For our demo, we used airtable because we could attach PDFs to rows.
Finally, a second form trigger is used for the actual application form. However, it is prefilled to save the applicant's time and allow them to amend any of the generated application fields.
How to use
Ensure to change the redirect URL in the form ending node to use the host domain of your n8n instance.
Requirements
OpenAI for LLM
Airtable to capture applicant data
Customising the workflow
Application form is pretty basic for this demonstration but could be extended to ask more in-depth questions.
If it fits the job, why not ask applicants to upload portfolio works and have AI describe/caption them.
Build your own Airtable and Text Classifier integration
Create custom Airtable and Text Classifier workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
Airtable and Text Classifier integration details
Other integrations with Airtable
Other integrations with Text Classifier
Airtable and Text Classifier integration tutorials
FAQs
Can Airtable connect with Text Classifier?
Can I use Airtable’s API with n8n?
Can I use Text Classifier’s API with n8n?
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Discover our latest community's recommendations and join the discussions about Airtable and Text Classifier integration.
Date formatting and Airtable
Michael Wells
Describe the problem/error/question
Hi all, I’m having a weird new issue with my Airtable step, regarding the date.
As you can see [1] it’s arriving from the webhook as an ISO8601 date, but is resulting in an Airtable e…
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