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ActionGoogle BigQueryUpdated June 2026

What tables are in this BigQuery dataset?

Short answer: You can list tables in dataset in Google BigQuery by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Google BigQuery List Tables in Dataset action to a workflow, map its 3 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.

List Tables in Dataset in Google BigQuery — start free All 3 Google BigQuery actions
List Tables in Dataset in Google BigQuery — start free
Inputs

The fields this action accepts.

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

FieldTypeRequiredDescription
Project ID
project_id
stringRequired–
Dataset ID
dataset_id
stringRequiredThe Dataset ID assigned by Bigquery. Find via the corresponding list/search operation in this app. Use the exact ID, not a name or label.
Max Results
max_results
numberOptional–
Sample request
{
  "project_id": "{{trigger.project_id}}",
  "dataset_id": "analytics_prod",
  "max_results": "{{trigger.max_results}}"
}
Returns
{
  "tables": [
    {
      "type": "TABLE",
      "tableReference": {
        "tableId": "events",
        "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 Tables in Dataset.

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 Tables in Dataset.

What does the List Tables in Dataset action do in Google BigQuery?
Returns the tables, views, and external tables in a dataset with size and row counts. Useful for query-construction workflows that need to validate table existence before running a query.
What inputs does List Tables in Dataset require?
Required: Project ID, Dataset 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 Tables in Dataset support batch operations?
Yes. Run List Tables in Dataset inside a Loop node to process arrays. TinyCommand handles Google BigQuery's rate limits automatically so you don't have to throttle manually.
More actions

Other Google BigQuery actions.

Action
List Datasets
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.
Action
Run BigQuery SQL Query
Executes a Standard SQL query and returns the resulting rows. Cost scales with bytes scanned, so tight WHERE clauses on partitioned columns save real money. Use dry_run=true to preview cost before running large queries.
List Tables in Dataset in Google BigQuery — start free