Connect Google Calendar to BigQuery
Send Google Calendar my calendars, events and report: busy time for user to BigQuery on a schedule. Filter by date and add your own filters. Refresh as often as every 15 minutes.
BigQuery
dataset google_calendar
list_of_my_calendarslist_of_eventsreport_busy_time_for_user
How to connect Google Calendar and BigQuery
6 steps. You can preview the Google Calendar data in Coupler.io before anything reaches BigQuery.
Step 1 of 6
Connect Google Calendar
Sign in to Google Calendar and authorize Coupler.io. There's no API key to copy.
Sign in with Google Calendar
Step 2 of 6
Choose what to export
Pick the Google Calendar data you want in BigQuery.
Step 3 of 6
Choose what to export
Pick the Google Calendar data you want in BigQuery.
Show 1 more field Show fewer fields
Step 4 of 6
Fine-tune the export
Optional settings for this Google Calendar export.
Step 5 of 6
Connect BigQuery
Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the Google Calendar data.
Step 6 of 6
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 list_of_my_calendars with fresh Google Calendar data.
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3 data types, including My calendars, Events and Report: busy time for user.
You sign in to Google Calendar and authorize Coupler.io. There's no API key to copy.
Yes. Set the start date and end date to cover the period you need. You can also filter by updated date.
Yes. Add filter conditions in the source settings to keep only the Google Calendar records 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 Google Calendar 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 ClickUp or Airtable, and join or append them before the data reaches BigQuery.
