How to Automate a Pipeline from Airtable to Google Colab and Back?

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:wave: Hey ! Looking for some automation help here.

Current setup:

  • Running a Google Colab script that:
  • Processes a large Google Sheet (200k+ rows) as input
  • Accepts a CSV upload
  • Returns filtered/processed data back into Airtable based on the CSV

What I’m trying to build:
Want to automate this flow so that whenever:

  1. A CSV or Google Sheet URL is added to an Airtable field
  2. It automatically triggers the Colab script
  3. Returns the filtered results directly to Airtable

Anyone familiar with automating Airtable → Colab → Airtable pipelines?

Hi , could you try to help?

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:wave: Hey ! Looking for some automation help here.

Current setup:

  • Running a Google Colab script that:
  • Processes a large Google Sheet (200k+ rows) as input
  • Accepts a CSV upload
  • Returns filtered/processed data back into Airtable based on the CSV

What I’m trying to build:
Want to automate this flow so that whenever:

  1. A CSV or Google Sheet URL is added to an Airtable field
  2. It automatically triggers the Colab script
  3. Returns the filtered results directly to Airtable

Anyone familiar with automating Airtable → Colab → Airtable pipelines?

To automate the flow from Airtable to Google Colab and back to Airtable, you can use Pipedream to create a workflow that triggers when a new CSV or Google Sheet URL is added to an Airtable field. Here’s a step-by-step guide to set up this automation: ### Step 1: Set Up the Trigger 1. Airtable Trigger: Use the Airtable trigger in Pipedream to monitor changes in your Airtable base. You can set it up to trigger when a new record is added or when a specific field is updated with a CSV or Google Sheet URL. ### Step 2: Execute the Google Colab Script 2. Google Colab Execution: Since Pipedream doesn’t natively support executing Google Colab scripts directly, you can use a workaround: - Option 1: If your Colab script can be converted to a Python script, you can run it directly in a Pipedream Python code step. - Option 2: Use a webhook in your Colab script. You can set up a webhook endpoint in your Colab script that Pipedream can call to trigger the execution of the script. This requires setting up a server in Colab to listen for incoming requests. ### Step 3: Process and Return Data to Airtable 3. Return Data to Airtable: Once the Colab script processes the data, you can send the results back to Airtable using the Airtable API. You can use a Pipedream action to update the Airtable record with the processed data. ### Example Pipedream Workflow Here’s a high-level overview of how you can set up the Pipedream workflow: ```
markdown 1. Trigger: Airtable trigger that monitors a specific field for new URLs. 2. Action: HTTP request to trigger the Google Colab script via a webhook (if using Option 2). 3. Action: Process the response from the Colab script. 4. Action: Use the Airtable API to update the record with the processed data.

Hi , our bot Pi has responsed quite a good direction for your solution. Would you mind reading through to see if it works for you?

You can ask our bot Pi if you need any help while developing with Pipedream