Connect Lark and Google Bigquery
Integrate Lark with Google Bigquery to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Delete Rows from Google BigQuery when When a new message is posted in a chat in Lark
Run SQL Query in Google BigQuery when When a new message is posted in a chat in Lark
Insert Rows into Google BigQuery when When a new message is posted in a chat in Lark
Update Rows in Google BigQuery when When a new message is posted in a chat in Lark
Create Table in Google BigQuery when When a new message is posted in a chat in Lark
Popular Lark + Google Bigquery flows
Start from a real workflow other teams are already running.
Choose a trigger
Lark
When this happens...
When a new message is posted in a chat
Choose an action
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 When a new message is posted in a chat in Lark
Use this flowRun SQL Query in Google BigQuery when When a new message is posted in a chat in Lark
Use this flowInsert Rows into Google BigQuery when When a new message is posted in a chat in Lark
Use this flowUpdate Rows in Google BigQuery when When a new message is posted in a chat in Lark
Use this flowCreate Table in Google BigQuery when When a new message is posted in a chat in Lark
Use this flowList BigQuery Projects in Google BigQuery when When a new message is posted in a chat in Lark
Use this flowList Datasets in Project in Google BigQuery when When a new message is posted in a chat in Lark
Use this flowList Tables In Dataset in Google BigQuery when When a new message is posted in a chat in Lark
Use this flowSupported Triggers & Actions
Everything you can automate between Lark and Google Bigquery.
When this happensTriggers
A trigger is an event that starts a workflow.
When a new message is posted in a chat
Runs the workflow automatically whenever a new message is posted in the specified chat.
Do thisActions
Action is the task that follows automatically within your Lark integrations.
Create Lark Sheet
Create a new Sheet in Lark
Search a Group Chat in Lark
Searches for a Lark Group Chat that users or bot are in by name
Search a Lark Base
Search for a Lark Base by name or keyword
Search Lark Calendar Event
Search user's Lark calendar events
Search a Lark Docs
Search for a Lark Base by name or keyword
Search a Lark File
Search a Lark File by key word
Learn how to build your first workflow
Follow a simple walkthrough to create, test, and launch your first automation.
- 1
Connect your apps
Link the apps you want to automate.
- 2
Configure your workflow
Set up triggers, actions, and map your data.
- 3
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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About Lark
Lark is a next-generation office suite that integrates messaging, video conferencing, schedule management, collaborative documents, and more into a single platform, designed to enhance productivity and streamline communication for teams.
Learn moreSimilar apps
About Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Learn moreFrequently Asked Questions
Sign up for a free viaSocket account, then authorize both your Lark 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 Lark 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 Lark triggers actions in Google Bigquery, and a separate workflow where Google Bigquery triggers actions in Lark. 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 Lark and Google Bigquery. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Lark 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.
