Connect luma to BigQuery
Send luma events and event guests to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset luma
eventsevent_guests
How to connect luma and BigQuery
4 steps. You can preview the luma data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect luma
Enter your luma API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the luma 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 luma 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 events with fresh luma data.
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2 data types, including Events and Event guests.
With your luma API key, 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 luma 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.
