Connect Strava to Snowflake
Send Strava activities and athlete stats to Snowflake on a schedule. Filter by date. Refresh as often as every 15 minutes.
Snowflake
schema strava
activitiesathlete_stats
How to connect Strava and Snowflake
4 steps. You can preview the Strava data in Coupler.io before anything reaches Snowflake.
Step 1 of 4
Connect Strava
Sign in to Strava and authorize Coupler.io. There's no API key to copy.
Sign in with Strava
Step 2 of 4
Choose what to export
Pick the Strava data you want in Snowflake.
Step 3 of 4
Connect Snowflake
Sign in to Snowflake with OAuth, then enter the database, schema, 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 Snowflake. Run it as often as every 15 minutes.
Each run deletes the existing rows in activities and loads fresh Strava data.
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Build your Strava integrations with these destinations
Get the most of Strava to Snowflake 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.
Yes. With the required privileges, Coupler.io creates missing schemas and tables in your database on the first successful run.
Yes. Append adds new rows to activities on each run, while Replace swaps in a fresh copy. With Append, add new Strava columns to the table yourself before the next run.
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 Snowflake.
