Connect Google Calendar to PostgreSQL
Send Google Calendar my calendars, events and report: busy time for user to PostgreSQL on a schedule. Filter by date and add your own filters. Refresh as often as every 15 minutes.
PostgreSQL
schema google_calendar
list_of_my_calendarslist_of_eventsreport_busy_time_for_user
How to connect Google Calendar and PostgreSQL
6 steps. You can preview the Google Calendar data in Coupler.io before anything reaches PostgreSQL.
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 PostgreSQL.
Step 3 of 6
Choose what to export
Pick the Google Calendar data you want in PostgreSQL.
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Step 4 of 6
Fine-tune the export
Optional settings for this Google Calendar export.
Step 5 of 6
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the Google Calendar data.
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Step 6 of 6
Choose a write mode and schedule
Every run either replaces or appends the data in PostgreSQL. Run it as often as every 15 minutes.
Each run deletes the existing rows in list_of_my_calendars and loads 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 database user has CREATE privileges. Coupler.io creates the google_calendar schema and the list_of_my_calendars table on the first run.
Yes. Append adds new rows to list_of_my_calendars on each run, while Replace swaps in a fresh copy. With Append, add new Google Calendar columns to the table yourself before the next run.
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 PostgreSQL.
