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Quickly connect Google BigQuery to Lark with a Zapier template.

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Create new Lark bitable records from new rows in Google BigQuery
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Google BigQuery + Lark

Create new Lark bitable records from new rows in Google BigQuery

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Google BigQuery + Lark

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1. Choose trigger event

2. Choose action

1. Select the event

Setup

Test

App

Trigger event

Choose a trigger event

Choose a trigger

A trigger is the event that starts your Zap—like a "Query Job Completed (With Row Data)" from Google BigQuery.

Add your action

An action happens after the trigger—such as "Create New Base Table Record" in Lark.

You’re connected!

Zapier seamlessly connects Google BigQuery and Lark, automating your workflow.

Supported triggers and actions

Zapier helps you create workflows that connect your apps to automate repetitive tasks. A trigger is an event that starts a workflow, and an action is an event a Zap performs.

- Project
  Required
- Dataset
- Table
Trigger
Polling
Try It
- Project ID
  Required
- Job ID
  Required
- Location
  Required
Trigger
Polling
Try It
- Project
  Required
- Dataset
  Required
- Table
  Required
Action
Write
- Project ID
  Required
- Dataset
  Required
- Table
  Required
- Where Column
  Required
- Where Value
  Required
Action
Write
- Project ID
  Required
- SQL Query
  Required
- Location
Action
Write

- Stop on error
  Required
- HTTP Method
  Required
- URL
  Required
- Query string parameters
- Additional request headers
- Body
Action
Write
- Project ID
  Required
- Job ID
  Required
- Location
  Required
Action
Search

- Channel ID
  Required
Trigger
Instant
Try It
- App token (Found in Base URL)
  Required
- Table ID
  Required
Action
Write
- Select Folder
  Required
- Doc Name
  Required
Action
Write
- Folder Name
  Required
- Folder Token
  Required
Action
Write
- Chat ID
  Required
- User ID
  Required
Action
Write
- Receiver ID
  Required
- Content
  Required
Action
Write
- Channel ID
  Required
- Content
  Required
Action
Write
- Calendar ID
  Required
- Event ID
  Required
- Updated Summary
- Updated Description
- Updated Start Time
- Updated End Time
- Updated Timezon
Action
Write
- Key Word
  Required
Action
Search
- Calendar ID
  Required
- Key Word
  Required
Action
Search
- Channel Name
  Required
Action
Search
- Key Word
  Required
Action
Search
- GUID
  Required
Action
Search

- Project ID
  Required
- Dataset
  Required
- Table
  Required
- Sort By Column
  Required
- Unique Column
  Required
Trigger
Polling
Try It
- Project ID
  Required
- Dataset
  Required
- Table
  Required
- Unique Column
  Required
- IS Operator
Trigger
Polling
Try It
- Project
  Required
- Dataset
  Required
- Table
  Required
Action
Write
- Project ID
  Required
- Dataset
  Required
- Table
  Required
- Rows
  Required
- Skip Invalid Rows
- Ignore Unknown Values
Action
Write
- Project ID
  Required
- Dataset
  Required
- Table
  Required
- Where Column
  Required
- Where Value
  Required
- Update Columns
  Required
Action
Write
- Project ID
  Required
- Dataset
  Required
- Table
  Required
- Sort By Column
- Sort Direction
- Where Clause
  Required
Action
Search
- Project
  Required
- Dataset
  Required
- Table
  Required
- Sort By Column
- Sort Direction
- Where Clause
  Required
Action
Search or write
- Channel ID
  Required
Trigger
Instant
Try It
- App Token (Found in Base URL)
  Required
- Table ID
  Required
- Record ID
  Required
Action
Write
- Parent Folder Token
  Required
- New Folder Name
  Required
Action
Write
- Summary
  Required
- Description
  Required
- Due (Unix Time in millisecond)
  Required
- Assignee
  Required
Action
Write
- Calendar ID
  Required
- Event Summary
  Required
- Description
  Required
- Start Time
  Required
- End Time
  Required
- Time Zone
Action
Write
- Receiver ID
  Required
- Message Content
  Required
Action
Write
- Channel ID
  Required
- Message Content
  Required
Action
Write
- GUID
  Required
- Summary
  Required
- Description
  Required
- Due
  Required
Action
Write
- Key Word
  Required
Action
Search
- Key Word
  Required
Action
Search
- Key Word
  Required
Action
Search
- Is Completed
Action
Search
- Email or Username
Action
Search

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Connect Google BigQuery and Lark to integrate crucial parts of your business

With Zapier, you can integrate everything from basic data entry to end-to-end processes. Here are some of the business-critical workflows that people automate with Zapier.

Automate your lead management and improve conversions

With Zapier, you can automate every part of your lead funnel and give yourself the best chance at converting leads. Automate everything from lead capture to outreach to reporting—and close more deals as a result.

Create more impactful campaigns with automation

Measuring campaign performance across platforms can get chaotic. Plus, digging up the right metrics costs you precious time and effort. With Zapier, you can create a centralized view of your performance, skillfully manage your lists, and ensure your campaigns drive ROI across the business.

Provide world-class support with a little help from automation

Support reps can't be productive when they have to track down crucial information for every incident or ticket. With Zapier, you can automatically send your reps the context they need to resolve tickets quickly and create a seamless customer experience.

Automate your way to actionable, up-to-date data

The days of manually exporting and importing data are over. With Zapier, you can send data where it needs to go, in the format you need it—so you can centralize your data and unlock more insights.

Resolve incidents faster with automation

Your technical support team wants to focus on tech tickets rather than admin work. With Zapier, you can automate everything from ticket creation to routing to inter-team communication—eliminating friction from incident management and increasing speed to resolution.

Learn how to automate Google BigQuery on the Zapier blog

Make work flow with AI

Level up your Google BigQuery to Lark integration with AI. Extract, summarize, and transform your integration data with leading AI models like OpenAI, Anthropic, and more.

Learn about AI automation

Frequently Asked Questions about Google BigQuery + Lark integrations

New to automation with Zapier? You're not alone. Here are some answers to common questions about how Zapier works with Google BigQuery and Lark

How do I authenticate my Google BigQuery account with Lark?

To authenticate Google BigQuery with Lark, ensure that you have admin access for both accounts. You will be prompted to authorize the connection in Zapier by providing your Google account credentials and then grant necessary permissions. This will allow us to access BigQuery data securely for further actions.

What triggers can I use when integrating Google BigQuery with Lark?

When integrating with Zapier, you can set up triggers such as a new row added in a table or changes to existing rows in your Google BigQuery datasets. These can trigger specific actions within Lark, like sending instant notifications to a Lark chat.

Can I update data in Google BigQuery from Lark?

Yes, you can update data in Google BigQuery using actions triggered from Lark messages. For instance, if a team member submits a form response via Lark, it can immediately update the corresponding dataset in BigQuery.

Is it possible to extract data from Google BigQuery and display it directly in Lark?

Absolutely. You can set up an action where once new information is inserted into a specified dataset or query results are updated in BigQuery, the relevant details are automatically sent through as messages or alerts in a chosen Lark group or chat.

How often can the integration check for updates between Google BigQuery and Lark?

The frequency of checks depends on your zap settings. Typically, we offer intervals ranging from every 5 minutes to hourly updates based on the plan selected. This ensures your data remains synchronized across platforms efficiently.

What kind of data transformation can be performed during integration between these platforms?

During integration setup via Zapier, simple transformations such as filtering specific columns or mapping fields while transferring data between BigQuery and Lark are feasible. This helps tailor your integration without needing external scripts or tools.

Are there any limitations I should be aware of when using these integrations?

While setting up integrations between Google BigQuery and Lark through our platform is flexible, there might be API call limitations depending on usage tiers of each service. Review each service's terms to avoid exceeding allowed limits which could interrupt seamless operation.

About Google BigQuery

BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.

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Related categories

Databases Google

About Lark

Lark is the next-generation collaboration suite that enables teams to do their best work together. It integrates messaging, video conferencing, schedule management, collaborative documents, email and a variety of workplace applications into a single, mobile-first platform.

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Related categories

Productivity

Connect Google BigQuery and Lark to unlock the power of automation

Set up your first integration

Create new Lark bitable records from new rows in Google BigQuery

Create new Lark bitable records from new rows in Google BigQuery

Top companies trust Zapier to automate work that solves their unique business problems—no coding required.

How Zapier works

Choose a trigger

Add your action

You’re connected!

Supported triggers and actions

Zapier is the automation platform of choice for 87% of Forbes Cloud 100 companies in 2023

Connect Google BigQuery and Lark to integrate crucial parts of your business

Automate your lead management and improve conversions

Create more impactful campaigns with automation

Provide world-class support with a little help from automation

Automate your way to actionable, up-to-date data

Resolve incidents faster with automation

Learn how to automate Google BigQuery on the Zapier blog

5 ways to automate Google BigQuery with Zapier

Make work flow with AI

Frequently Asked Questions about Google BigQuery + Lark integrations

Connect Google BigQuery to Lark on the world's largest no-code automation platform

Explore Google BigQuery + Lark Integrations

Explore Google BigQuery + Lark Integrations