Use AI, SQL and Python to explore your Airtable data
The Airtable input cell allows you to fetch data from your Airtable bases and use it in your workflows and dashboards. Airtable views are automatically stored at Python DataFrames for easy use with AI and Python or SQL.
In Airtable, create a new API access token from your Builder Hub.
Make sure this token as data.records:read
access so that it can read your data from Airtable.
Once you have your Airtable access token:
As with other input cells, Fabi.ai automatically saves your data as a Python DataFrame to make it ready to use for the AI or in any other cell.
Use AI, SQL and Python to explore your Airtable data
The Airtable input cell allows you to fetch data from your Airtable bases and use it in your workflows and dashboards. Airtable views are automatically stored at Python DataFrames for easy use with AI and Python or SQL.
In Airtable, create a new API access token from your Builder Hub.
Make sure this token as data.records:read
access so that it can read your data from Airtable.
Once you have your Airtable access token:
As with other input cells, Fabi.ai automatically saves your data as a Python DataFrame to make it ready to use for the AI or in any other cell.