Google AppSheet and Lark Integration

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Sync Google AppSheet data to Lark effortlessly. Use Latenode's visual editor and JavaScript to customize data transformations and route information exactly where needed, while benefiting from affordable, execution-based pricing.

Swap Apps

Google AppSheet

Lark

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google AppSheet and Lark

Create a New Scenario to Connect Google AppSheet and Lark

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 Google AppSheet, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google AppSheet or Lark will be your first step. To do this, click "Choose an app," find Google AppSheet or Lark, and select the appropriate trigger to start the scenario.

Add the Google AppSheet Node

Select the Google AppSheet node from the app selection panel on the right.

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Google AppSheet

Configure the Google AppSheet

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

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Google AppSheet

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Sign In

Run node once

Add the Lark Node

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

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Lark

Authenticate Lark

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

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Google AppSheet

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Lark

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Sign In

Run node once

Configure the Google AppSheet and Lark 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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Lark Oauth 2.0

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Select an action *

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The action ID

Run node once

Set Up the Google AppSheet and Lark 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 Google AppSheet, Lark, 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 Google AppSheet and Lark integration works as expected. Depending on your setup, data should flow between Google AppSheet and Lark (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Google AppSheet and Lark

Google AppSheet + Lark + Slack: When a record is updated in Google AppSheet, a message is sent to a Lark group chat, and a summary of the update is posted to a Slack channel.

Lark + Google Sheets + Google AppSheet: When a new message is posted in a Lark group chat, the message details are added to a Google Sheet, and then Google AppSheet is used to visualize that data.

Google AppSheet and Lark integration alternatives

About Google AppSheet

Use Google AppSheet for no-code app creation and connect it to Latenode to automate back-end tasks. Trigger workflows on AppSheet events to update databases, send notifications, or process data. Centralize logic in Latenode, bypassing AppSheet limits and adding advanced features like AI, file parsing, or custom integrations via API and code.

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.

See how Latenode works

FAQ Google AppSheet and Lark

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

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

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

Can I update Lark when new Google AppSheet rows appear?

Yes, you can! Latenode's visual editor makes it easy to trigger Lark updates from new Google AppSheet data, keeping your team informed automatically and efficiently with no-code.

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

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

  • Send Lark messages for new Google AppSheet form submissions.
  • Create Lark tasks from new Google AppSheet database entries.
  • Update Google AppSheet data based on Lark channel messages.
  • Post daily summaries from AppSheet to a Lark group chat.
  • Trigger alerts in Lark when AppSheet data reaches a threshold.

How do I handle complex data transformations between Google AppSheet and Lark?

Latenode's JavaScript code blocks allow you to manipulate data, ensuring seamless integration even with complex formatting requirements.

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

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

  • Real-time updates depend on Google AppSheet's API polling frequency.
  • Complex data structures may require JavaScript for transformations.
  • Large data volumes might require optimization for optimal performance.

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