Connect Strava to BigQuery
Send Strava activities and athlete stats to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
strava
activitiesathlete_stats
How to connect Strava and BigQuery
4 steps. You can preview the Strava data in Coupler.io before anything reaches BigQuery.
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 BigQuery.
Step 3 of 4
Connect BigQuery
Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the Strava data.
Step 4 of 4
Choose a write mode and schedule
Every run either replaces or appends the data in BigQuery. Run it as often as every 15 minutes.
Each run overwrites activities with fresh Strava data.
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Build your Strava integrations with these destinations
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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.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Strava data.
Refresh the source field list in Coupler.io and select the new column. If you define the BigQuery table schema manually, add the column there too.
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 BigQuery.