Connect Nexiopay to BigQuery
Send Nexiopay users, terminal lists, recipients and 3 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset nexiopay
usersterminal_listsrecipientspayment_typesspendbacks- 1 more data type
How to connect Nexiopay and BigQuery
4 steps. You can preview the Nexiopay data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Nexiopay
Enter your Nexiopay API key, API username and subdomain. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Nexiopay 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 Nexiopay 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 users with fresh Nexiopay data.
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Build your Nexiopay integrations with these destinations
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6 data types, including Users, Terminal lists, Recipients, Payment types and Spendbacks.
With your Nexiopay API key, API username and subdomain, 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 Nexiopay 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 QuickBooks or Xero, and join or append them before the data reaches BigQuery.
