Automate Google Analytics Reporting into an Airtable Database
Automatically fetch key website metrics from Google Analytics and save them to a structured Airtable base for easy analysis and historical tracking.

Workflow Overview
What is this?
- This workflow automatically fetches key website metrics, such as sessions grouped by country, directly from your Google Analytics property. It then formats and appends this data as new records into a specified Airtable base, creating a seamless and automated data pipeline.
What problem does it solve?
- Are you tired of spending hours each week manually downloading reports from Google Analytics and importing them into spreadsheets? This automation eliminates that repetitive and error-prone task, ensuring your marketing data is always up-to-date without any manual intervention.
What will you get?
- This workflow empowers you to build a self-updating dashboard in Airtable, providing a single source of truth for your website's performance. You will save several hours of manual reporting work per month and eliminate the risk of data entry errors, ensuring your team makes decisions based on timely and accurate analytics.
How to Use
Prerequisites
Setup Steps
Configure Google Analytics Node
Select your Google Analytics credentials. In the node parameters, specify the 'View ID' of your website property and choose the metrics (e.g., `ga:sessions`) and dimensions (e.g., `ga:country`) you wish to track.
Structure Data with the Set Node
Use the Set node to create clean, named fields for the data from Google Analytics, such as 'Country' and 'Metric'. This step ensures the data is perfectly structured before sending it to Airtable.
Configure Airtable Node
Select your Airtable credentials. Specify the 'Application' (which is the Base ID) and the 'Table' name where the data will be stored. Ensure the 'Operation' is set to 'append'.
Map Fields and Execute
Map the output fields from the Set node to their corresponding columns in your Airtable table. Run the workflow to test the connection and verify that a new row of data appears correctly in your base.
Pro Tips
Information
- Published date8/11/2025
- Last updated8/11/2025