Google Calendar + PostgreSQL

Create new rows in PostgreSQL for every new event in Google Calendar

Keep your PostgreSQL database up to date with events in your Google Calendar using this efficient automation. Whenever a new event is added to your Google Calendar, this workflow will instantly create a new row in your PostgreSQL. Perfect for event planners or businesses who need to keep a database record of their calendar activities. This workflow ensures every calendar event is accurately reflected in your database.

Keep your PostgreSQL database up to date with events in your Google Calendar using this efficient automation. Whenever a new event is added to your Google Calendar, this workflow will instantly create a new row in your PostgreSQL. Perfect for event planners or businesses who need to keep a database record of their calendar activities. This workflow ensures every calendar event is accurately reflected in your database.

  1. When this happens...
    Google CalendarGoogle Calendar
    New Event

    Triggers when an event is created.

    TriggerInstant
  2. automatically do this!
    PostgreSQLPostgreSQL
    New Row

    Triggers when you add a new row.

    ActionWrite
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Supported triggers and actions

    • CalendarRequired

    Trigger
    Polling
    Try It
    • CalendarRequired

    • Time Before

    • Time Before (Unit)

    • Search Term

    Trigger
    Polling
    Try It
    • CalendarRequired

    Trigger
    Instant
    Try It
    • CalendarRequired

    • EventRequired

    • Attendee/sRequired

    Action
    Write
google-calendar logo
google-calendar logo

About Google Calendar

Google Calendar lets you organize your schedule and share events with co-workers and friends. With Google's free online calendar, it's easy to keep track of your daily schedule.
Learn more

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  • Calendar
  • Google

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postgresql logo

About PostgreSQL

PostgreSQL is a powerful, open-source database engine with a uniquely advanced query optimizer and dozens of built in features, making it an easy choice for production databases.
Learn more

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