Airtable to Google Data Studio

Automatically Export & Sync Airtable Data to Google Data Studio

Airtable
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Google Data Studio
Full data sets
No code
No complicated flow charts
No triggers
Set up in under 3 minutes
No instructions needed

Data sets

All Records
Filterable
Records by View
Filterable

Built for Synchronization

This service is designed to help anyone continuously export (i.e. "sync") data from Airtable.

If you only need to export your data one time, check the website of Airtable to see if their service offers a one-time export feature natively. Sometimes a Data Source's native export feature may provide not as much data as its API does, in which case Flatly is the solution.

Additional Information

Flatly uses official API channels to provide an integration with Airtable.
Airtable is a low-code platform for building collaborative apps.
Scopes

Flatly's access to Plaid and Plaid's downstream connected financial institutions is read-only access to text. It is limited to account data (words, numbers, dates). It does not include any money-movement, transfer capabilities or account holder profiles/identities.

Plaid alone interfaces directly with financial institutions, caches data from those institutions on Plaid infrastructure, and then makes the appropriate scoped subset of that data available to partners like Flatly using secure connections called client libraries.

Connection

Opening a CSV file from Google Cloud Storage in Looker Studio is straightforward and takes only a few clicks. Importantly, a CSV file can be larger than 10 million cells, whereas a Google Sheet is limited to 10 million cells.

Google Data Studio reads flat files directly from Google Sheets or Google Cloud Storage.

File Formats

Integration Flow

Setup

Step 1

Select Airtable from the Data Source dropdown and Google Data Studio from the Data Destination dropdown.

Step 2

Authorize Airtable with your credentials using the OAuth flow.

Step 3

Authorize Google Data Studio with your credentials using the Service Account flow.

Step 4

Select your Data Set from the 2 Data Sets available using the dropdown.

Step 5

Click Flatten to sync your data.

Walkthrough Video

Extended Data Sources

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