Lark and Google Sheets Integration

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Automatically log new Lark form submissions to Google Sheets and track team responses in real time. Customize workflows with JavaScript code on Latenode for advanced filtering and get affordable, execution-based pricing.

Swap Apps

Lark

Google Sheets

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Lark and Google Sheets

Create a New Scenario to Connect Lark and Google Sheets

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Lark, triggered by another scenario, or executed manually (for testing purposes). In most cases, Lark or Google Sheets will be your first step. To do this, click "Choose an app," find Lark or Google Sheets, and select the appropriate trigger to start the scenario.

Add the Lark Node

Select the Lark node from the app selection panel on the right.

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Lark

Configure the Lark

Click on the Lark node to configure it. You can modify the Lark URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Sign In

Run node once

Add the Google Sheets Node

Next, click the plus (+) icon on the Lark node, select Google Sheets from the list of available apps, and choose the action you need from the list of nodes within Google Sheets.

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Authenticate Google Sheets

Now, click the Google Sheets node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Sheets settings. Authentication allows you to use Google Sheets through Latenode.

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Connect Google Sheets

Sign In

Run node once

Configure the Lark and Google Sheets Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Google Sheets Oauth 2.0

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Select an action *

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The action ID

Run node once

Set Up the Lark and Google Sheets Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Lark, Google Sheets, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Lark and Google Sheets integration works as expected. Depending on your setup, data should flow between Lark and Google Sheets (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Lark and Google Sheets

Lark + Google Sheets + Jira: When a new message is received in a Lark group chat, the details are logged in a Google Sheet, and a corresponding issue is created in Jira.

Google Sheets + Lark + Slack: When a new row is added to a Google Sheet, summarized data is sent to a Lark channel, and a notification is sent via Slack.

Lark and Google Sheets integration alternatives

About Lark

Use Lark within Latenode to centralize team comms & automate notifications based on workflow triggers. Aggregate messages, streamline approvals, and post updates to specific channels. Benefit from Latenode's visual editor and logic tools for advanced routing that keeps everyone informed and aligned.

About Google Sheets

Use Google Sheets in Latenode to automate data entry, reporting, and analysis. Read/write data to spreadsheets as part of larger workflows triggered by events or schedules. Avoid manual updates by linking Sheets to other apps. Integrate data from any source via API and transform it into actionable insights.

See how Latenode works

FAQ Lark and Google Sheets

How can I connect my Lark account to Google Sheets using Latenode?

To connect your Lark account to Google Sheets on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Lark and click on "Connect".
  • Authenticate your Lark and Google Sheets accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically back up Lark messages to Google Sheets?

Yes, you can! Latenode's visual editor and advanced logic allow backing up Lark messages to Google Sheets automatically. Ensure data security and analysis with ease.

What types of tasks can I perform by integrating Lark with Google Sheets?

Integrating Lark with Google Sheets allows you to perform various tasks, including:

  • Automatically logging new Lark channel messages into a spreadsheet.
  • Creating reports in Google Sheets based on Lark task assignments.
  • Updating spreadsheet rows when changes happen in Lark.
  • Triggering Lark notifications from Google Sheets data updates.
  • Managing and syncing team calendars between Lark and Google Sheets.

Can I use JavaScript to extend my Lark + Google Sheets workflows?

Yes! Latenode allows incorporating JavaScript to enhance your Lark and Google Sheets automations, unlocking advanced data manipulation and custom logic.

Are there any limitations to the Lark and Google Sheets integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Rate limits imposed by Lark and Google Sheets may affect high-volume workflows.
  • Complex data transformations might require custom JavaScript code.
  • Real-time synchronization depends on the polling interval configured in your workflow.

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