Connect Strava to Data Studio
Send Strava activities and athlete stats to Data Studio on a schedule. Filter by date. Refresh as often as every 15 minutes.
How to connect Strava and Data Studio
4 steps. You can preview the Strava data in Coupler.io before anything reaches Data Studio.
Step 1 of 4
Connect Strava
Sign in to Strava and authorize Coupler.io. There's no API key to copy.
Step 2 of 4
Choose what to export
Pick the Strava data you want in Data Studio.
Step 3 of 4
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 Strava fields.
Step 4 of 4
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.
Each run overwrites the data set with a fresh snapshot of Strava data.
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Build your Strava integrations with these destinations
Get the most of Strava to Data Studio integration
Gather data
Understand data
Automate data
Act on data
2 data types, including Activities and Athlete stats.
You sign in to Strava and authorize Coupler.io. There's no API key to copy.
Yes. Set the start date to cover the period you need.
Through the Coupler.io community connector. Authorize Coupler.io and Data Studio with the same Google account, then add the Strava 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 Strava 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 Instagram Insights or Facebook Page Insights, and join or append them before the data reaches Data Studio.