Calendly + Google BigQuery

Add new Calendly invitees to Google BigQuery rows with ease

Effortlessly track new Calendly invitees by adding them to your Google BigQuery dataset with this workflow. Once set up, each time a new invitee is created in Calendly, their information will be captured and stored as a new row in your specified Google BigQuery table. Stay organized and easily analyze your event attendees' data by streamlining the process with this automation.

Effortlessly track new Calendly invitees by adding them to your Google BigQuery dataset with this workflow. Once set up, each time a new invitee is created in Calendly, their information will be captured and stored as a new row in your specified Google BigQuery table. Stay organized and easily analyze your event attendees' data by streamlining the process with this automation.

  1. When this happens...
    CalendlyCalendly
    Invitee Created

    Triggers when an invitee schedules an event

    TriggerInstant
  2. automatically do this!
    Google BigQueryGoogle BigQuery
    Create Row

    Creates a new row of data in a table. Note: Does not create a job.

    ActionWrite
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Supported triggers and actions

    • Free Plan Copy

    • Webhook subscription scopeRequired

    Trigger
    Instant
    Try It
    • Free Plan Copy

    • Webhook subscription scopeRequired

    Trigger
    Instant
    Try It
    • Event UUIDRequired

    • Reason

    Action
    Write
  • Calendly triggers, actions, and search

    Cancel Scheduled Event

    Cancels a scheduled event with a specified reason for the cancellation.

    Action
    Write
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About Calendly

Calendly is an elegant and simple scheduling tool for businesses that eliminates email back and forth. It helps save time so that businesses can provide great service and increase sales.
Learn more

Related categories

  • Scheduling & Booking
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google-bigquery logo

About Google BigQuery

BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Learn more

Related categories

  • Databases
  • Google