ActionGoogle BigQueryUpdated May 2026

What BigQuery datasets are in this project?

Short answer: Drop the "Google BigQuery → List Datasets" action anywhere in your workflow, map the inputs from upstream nodes, and publish.

Use this action All 3 Google BigQuery actions

Inputs

The fields this action accepts.

Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.

Field	Type	Required	Description
Project ID project_id	string	Required	my-gcp-project-12345
Max Results max_results	number	Optional	—

Sample request

{
  "project_id": "my-gcp-project-12345",
  "max_results": "{{trigger.max_results}}"
}

Returns

{
  "datasets": [
    {
      "location": "US",
      "datasetReference": {
        "datasetId": "analytics_prod",
        "projectId": "my-project"
      }
    }
  ]
}

Use these fields in downstream nodes for routing, logging, or error handling.

Triggered by

Apps that pair well as the trigger for List Datasets.

Any of these apps can fire this action as part of a workflow.

Gmail → Google BigQuery

1 Gmail triggers

Slack → Google BigQuery

13 Slack triggers

Google Sheets → Google BigQuery

2 Google Sheets triggers

HubSpot → Google BigQuery

18 HubSpot triggers

FAQ

Questions about List Datasets.

What does the List Datasets action do in Google BigQuery?

Returns every dataset in the connected GCP project with name, location, default retention. Useful for resolving dataset names in workflow setup and for inventorying the project's data warehouse structure.

What inputs does List Datasets require?

Required: Project ID. Every input accepts a static value or a variable from any upstream node in your workflow.

Can I use dynamic inputs from earlier workflow nodes?

Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.

What happens if Google BigQuery returns an error?

The workflow pauses on the failed node, the error message is captured in the run log, and you can retry the run with one click. Auto-retry policies are configurable per workflow with exponential backoff up to 5 attempts.

Does List Datasets support batch operations?

Yes. Run List Datasets inside a Loop node to process arrays. Tiny Command handles Google BigQuery's rate limits automatically so you don't have to throttle manually.

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