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Connect Google Sheets to Data Studio

Send Google Sheets data to Data Studio on a schedule. Refresh as often as every 15 minutes.

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Google Sheets report Data source: Google Sheets
Build Data Studio reports on Google Sheets data that Coupler.io keeps up to date.
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How to connect Google Sheets and Data Studio

3 steps. You can preview the Google Sheets data in Coupler.io before anything reaches Data Studio.

Step 1 of 3

Connect Google Sheets

Add the Google Sheets account you want to export from.

Connect Google Sheets

Step 2 of 3

Connect Data Studio

Click Generate Data Source and authorize Data Studio and Coupler.io with the same Google account. After the first run, open the report and add your Google Sheets fields.

Date range dimensiondateOptional. A DATE or DATETIME column for date filters
Report/data source URLhttps://lookerstudio.google.com/reporting/abc123Optional, in Advanced settings. Links an existing report
Fields groupingOffOptional. Groups fields named [Group]: [Field]

Step 3 of 3

Choose a write mode and schedule

Every run either replaces or appends the data in Data Studio. Run it as often as every 15 minutes.

Write mode

Each run overwrites the data set with a fresh snapshot of Google Sheets data.

Get the most of Google Sheets to Data Studio integration

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Gather data

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Understand data

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Automate data icon

Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

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Google Sheets to Data Studio questions

Through the Coupler.io community connector. Authorize Coupler.io and Data Studio with the same Google account, then add the Google Sheets data source to a report.

Coupler.io and Data Studio refresh separately, and Data Studio refreshes data sources every 12 hours by default. Lower its data freshness setting if you refresh Google Sheets more often.

On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.

Yes. Add more sources to the same data flow, for example Airtable or BigQuery, and join or append them before the data reaches Data Studio.

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