Connect Fullstory to BigQuery
Send Fullstory sessions, segments, operations and 7 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset fullstory
sessionssegmentsoperationsblock_rulesdomain_settings- 5 more data types
How to connect Fullstory and BigQuery
4 steps. You can preview the Fullstory data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Fullstory
Enter your Fullstory API key and user ID. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Fullstory data you want in BigQuery.
Show 2 more data types Show fewer data types
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 Fullstory 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 sessions with fresh Fullstory data.
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10 data types, including Sessions, Segments, Operations, Block rules and Domain settings.
With your Fullstory API key and user ID, entered once when you add the connection.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Fullstory 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 GoHighLevel or Google Ads, and join or append them before the data reaches BigQuery.
