Connect Zoom to BigQuery
Send Zoom users, meetings, meeting registrants and 16 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset zoom
usersmeetingsmeeting_registrantsmeeting_pollsmeeting_poll_results- 14 more data types
How to connect Zoom and BigQuery
4 steps. You can preview the Zoom data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Zoom
Enter your Zoom account ID, client ID, client secret and authorization endpoint. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Zoom data you want in BigQuery.
Show 11 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 Zoom 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 Zoom data.
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19 data types, including Users, Meetings, Meeting registrants, Meeting polls and Meeting poll results.
With your Zoom account ID, client ID, client secret and authorization endpoint, 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 Zoom 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 100ms or Amazon Seller Central, and join or append them before the data reaches BigQuery.
