Integrate Toggl Track with Google Bigquery to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Delete Rows from Google BigQuery when New Client in Toggl-track
Run SQL Query in Google BigQuery when New Client in Toggl-track
Insert Rows into Google BigQuery when New Client in Toggl-track
Update Rows in Google BigQuery when New Client in Toggl-track
Create Table in Google BigQuery when New Client in Toggl-track
Start from a real workflow other teams are already running.
Toggl Track
When this happens...
New Client
New Project
New Tag
New Time Entry
New Time Entry Started
New Workspace
New Task
Google Bigquery
Automatically do this!
Delete Rows
Run SQL Query
Insert Rows
Update Rows
Create Table
List BigQuery Projects
List Datasets in Project
List Tables In Dataset
Delete Rows from Google BigQuery when New Client in Toggl-track
Use this flowRun SQL Query in Google BigQuery when New Client in Toggl-track
Use this flowInsert Rows into Google BigQuery when New Client in Toggl-track
Use this flowUpdate Rows in Google BigQuery when New Client in Toggl-track
Use this flowCreate Table in Google BigQuery when New Client in Toggl-track
Use this flowList BigQuery Projects in Google BigQuery when New Client in Toggl-track
Use this flowList Datasets in Project in Google BigQuery when New Client in Toggl-track
Use this flowList Tables In Dataset in Google BigQuery when New Client in Toggl-track
Use this flowDelete Rows from Google BigQuery when New Project in Toggl Track
Use this flowRun SQL Query in Google BigQuery when New Project in Toggl Track
Use this flowEverything you can automate between Toggl Track and Google Bigquery.
When this happensTriggers
A trigger is an event that starts a workflow.
Return clients added to the selected workspace within the specified recent time period.
Retrieve projects created in the selected workspace within the specified recent time window (in minutes).
Retrieve tags in the selected workspace that were created within the last N minutes.
Retrieve time entries created within the specified recent period, filtered by workspace, project, task, or tag.
Trigger when new time entry is started
Trigger when new workspace is created.
Action is the task that follows automatically within your Toggl Track integrations.
Add a new client to the selected Toggl Track workspace.
Creates a new project in the specified Toggl workspace, optionally linking a client and setting template, privacy, and billable options.
Add a new tag to the specified Toggl Workspace.
Create a new task in a selected Toggl Track workspace and project with a name and active/done status.
Create a new time entry
Start a new time entry

Follow a simple walkthrough to create, test, and launch your first automation.
Connect your apps
Link the apps you want to automate.
Configure your workflow
Set up triggers, actions, and map your data.
Test & publish
Test your workflow and publish it.
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Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.

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Toggl Track is a time tracking tool designed to help individuals and teams measure and manage their work hours effectively. It offers features like time tracking, reporting, and project management across web, desktop, and mobile platforms.
Learn moreBigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Learn moreSign up for a free viaSocket account, then authorize both your Toggl Track and Google Bigquery accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between Toggl Track and Google Bigquery as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Google Bigquery. No coding required.
Yes. You can set up a workflow where Toggl Track triggers actions in Google Bigquery, and a separate workflow where Google Bigquery triggers actions in Toggl Track. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between Toggl Track and Google Bigquery. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Toggl Track and Google Bigquery integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.