Microsoft Excel and Lark Integration

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Sync Microsoft Excel data to Lark instantly and build custom notifications based on spreadsheet changes. Latenode’s visual editor simplifies automation, offering affordable scaling and JavaScript for complex logic.

Swap Apps

Microsoft Excel

Lark

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Microsoft Excel and Lark

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

Add the Microsoft Excel Node

Select the Microsoft Excel node from the app selection panel on the right.

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Configure the Microsoft Excel

Click on the Microsoft Excel node to configure it. You can modify the Microsoft Excel 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 Lark Node

Next, click the plus (+) icon on the Microsoft Excel 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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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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Sign In

Run node once

Configure the Microsoft Excel 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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The action ID

Run node once

Set Up the Microsoft Excel 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 Microsoft Excel, 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 Microsoft Excel and Lark integration works as expected. Depending on your setup, data should flow between Microsoft Excel 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 Microsoft Excel and Lark

Microsoft Excel + Lark + Slack: Summarize data from a Microsoft Excel worksheet and send a daily performance report to a Lark group chat. If a specified performance threshold is not met, send an urgent alert to a dedicated Slack channel.

Lark + Microsoft Excel + Google Sheets: When a new message containing meeting minutes is posted in a Lark group chat, the message content is extracted and appended as a new row in a Microsoft Excel worksheet. Simultaneously, attendance information is tracked and updated in a Google Sheets spreadsheet.

Microsoft Excel and Lark integration alternatives

About Microsoft Excel

Automate Excel tasks within Latenode workflows. Read, update, or create spreadsheets directly. Use Excel data to trigger actions in other apps, generate reports, or update databases. No manual data entry; improve accuracy and save time by connecting Excel to other systems via Latenode's visual interface.

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 Microsoft Excel and Lark

How can I connect my Microsoft Excel account to Lark using Latenode?

To connect your Microsoft Excel account to Lark on Latenode, follow these steps:

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

Can I automate spreadsheet updates based on new Lark messages?

Yes! Latenode allows you to automatically update Excel spreadsheets from Lark using a visual interface, adding custom JavaScript and AI to transform your data.

What types of tasks can I perform by integrating Microsoft Excel with Lark?

Integrating Microsoft Excel with Lark allows you to perform various tasks, including:

  • Automatically create Lark messages from new Excel rows.
  • Post Excel data summaries to Lark channels on a schedule.
  • Update Excel spreadsheets based on Lark form submissions.
  • Send Lark notifications when specific Excel data changes.
  • Trigger Excel calculations based on keywords in Lark messages.

How does Latenode handle large Microsoft Excel files?

Latenode efficiently processes large Excel files using streaming and serverless functions, avoiding memory issues and enabling scalable automations.

Are there any limitations to the Microsoft Excel and Lark integration on Latenode?

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

  • Complex Excel formulas might require custom JavaScript.
  • Real-time updates depend on the polling interval configured.
  • Very large Excel files can impact workflow execution time.

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