Connect RevenueCat to BigQuery
Send RevenueCat customers, products, projects and 12 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset revenuecat
customersproductsprojectsappsmetrics_overviews- 10 more data types
How to connect RevenueCat and BigQuery
4 steps. You can preview the RevenueCat data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect RevenueCat
Enter your RevenueCat API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the RevenueCat data you want in BigQuery.
Show 7 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 RevenueCat 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 customers with fresh RevenueCat data.
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Build your RevenueCat integrations with these destinations
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Gather data
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15 data types, including Customers, Products, Projects, Apps and Metrics overviews.
With your RevenueCat API key, entered once when you add the connection.
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 RevenueCat 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 Shopify or GoHighLevel, and join or append them before the data reaches BigQuery.
