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Connect Airtable to your preprocessing pipeline, and use the Unstructured Ingest CLI or the Unstructured Ingest Python library to batch process all your data and store structured outputs locally on your filesystem.

You will need:

The Airtable connector prerequisites:

By default, Unstructured processes all tables from all bases within an Airtable organization. You can limit the tables that Unstructured ingests data from within Airtable by specifying a list of Airtable paths. An Airtable path uses the following structure: base_id/table_id(optional)/view_id(optional)

For example, given the following example Airtable URL:

https://airtable.com/appr9nKeXLAtg6bgn/tblZ8uT1GY7NLbWit/viwDcpzf9dP0Gqz5J
  • The base’s ID is appr9nKeXLAtg6bgn. The base’s path is appr9nKeXLAtg6bgn.
  • The table’s ID is tblZ8uT1GY7NLbWit. The table’s path is appr9nKeXLAtg6bgn/tblZ8uT1GY7NLbWit.
  • The view’s ID is viwDcpzf9dP0Gqz5J. The view’s path is appr9nKeXLAtg6bgn/tblZ8uT1GY7NLbWit/viwDcpzf9dP0Gqz5J.

You can call the Airtable API to get lists of available IDs for Airtable bases, tables, and views in bulk, as follows:

The Airtable connector dependencies:

CLI, Python
pip install "unstructured-ingest[airtable]"

You might also need to install additional dependencies, depending on your needs. Learn more.

These environment variables:

  • AIRTABLE_TOKEN - The Airtable personal access token, represented by --personal-access-token (CLI) or personal_access_token (Python).
  • AIRTABLE_PATHS - The list of Airtable paths to process, represented by --list-of-paths (CLI) or list_of_paths (Python).

These environment variables:

  • UNSTRUCTURED_API_KEY - Your Unstructured API key value.
  • UNSTRUCTURED_API_URL - Your Unstructured API URL.

Now call the Unstructured CLI or Python SDK. The destination connector can be any of the ones supported. This example uses the local destination connector: