Connect Revolut Merchant to BigQuery
Send Revolut Merchant orders, customers and locations to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset revolut_merchant
orderscustomerslocations
How to connect Revolut Merchant and BigQuery
4 steps. You can preview the Revolut Merchant data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Revolut Merchant
Enter your Revolut Merchant API version, secret API key and environment. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Revolut Merchant 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 Revolut Merchant 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 orders with fresh Revolut Merchant data.
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Build your Revolut Merchant integrations with these destinations
Get the most of Revolut Merchant to BigQuery integration
Gather data
Understand data
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Act on data
3 data types, including Orders, Customers and Locations.
With your Revolut Merchant API version, secret API key and environment, 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 Revolut Merchant 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.
