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Connect Apify to Google BigQuery

Move data between Apify and Google BigQuery the moment it happens. Build the flow visually, or let AI write it for you, then run it on our cloud or your own infrastructure.

Apify triggers
2
Apify actions
6
Google BigQuery triggers
4
Google BigQuery actions
10

Automation ideas

What you can build with Apify and Google BigQuery

A few flows teams run between Apify and Google BigQuery. Use one as a starting point, or build your own from scratch.

  • Watch Actor Runs in Apify creates Run a Query in Google BigQuery

    Triggers a Flow on Apify Actor run events

  • New Row in Google BigQuery creates Get Dataset Items in Apify

    Triggers when a new row is added to a BigQuery table. Polls every 5 minutes by comparing the latest value in a sort column against the previous check.

  • Watch Actor Runs in Apify creates Create Row in Google BigQuery

    Triggers a Flow on Apify Actor run events

  • New Row in Google BigQuery creates Run Actor in Apify

    Triggers when a new row is added to a BigQuery table. Polls every 5 minutes by comparing the latest value in a sort column against the previous check.

  • Watch Actor Runs in Apify creates Create Rows in Google BigQuery

    Triggers a Flow on Apify Actor run events

  • New Row in Google BigQuery creates Run Task in Apify

    Triggers when a new row is added to a BigQuery table. Polls every 5 minutes by comparing the latest value in a sort column against the previous check.

Questions, answered

No. Pick a trigger on either piece and an action on the other, map the fields, and turn the flow on. Add a code step later only if you want to.

Yes. Build one flow that starts in Apify and acts in Google BigQuery, and a second that runs the other way, in the same project.

On our EU cloud in Frankfurt, or self-hosted on your own infrastructure with Docker or Kubernetes. The MIT-licensed core means there is always an exit.