Lark and Microsoft Excel Integration

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Sync Lark messages to Microsoft Excel for analysis and reporting. Latenode simplifies complex data flows with a visual editor and affordable execution-based pricing, offering no-code and JavaScript customization to scale your analysis.

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Lark

Microsoft Excel

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Lark and Microsoft Excel

Create a New Scenario to Connect Lark and Microsoft Excel

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 Microsoft Excel will be your first step. To do this, click "Choose an app," find Lark or Microsoft Excel, 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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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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Run node once

Add the Microsoft Excel Node

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

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Authenticate Microsoft Excel

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

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Sign In

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Configure the Lark and Microsoft Excel 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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Run node once

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

Lark + Microsoft Excel + Google Sheets: When a new message is posted in a Lark group chat, the content is added as a new row to a Microsoft Excel worksheet. The data from Excel is then consolidated into a Google Sheet by adding a new row.

Microsoft Excel + Lark + Slack: When a new row is added to a Microsoft Excel table, a message is sent to a Lark group chat with a summary of the new data. Additionally, a summary of the updated data is sent to a Slack channel.

Lark and Microsoft Excel 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 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.

See how Latenode works

FAQ Lark and Microsoft Excel

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

To connect your Lark account to Microsoft Excel 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 Microsoft Excel accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically update Excel with new Lark messages?

Yes, you can! Latenode allows real-time data transfer between Lark and Microsoft Excel. Keep spreadsheets updated automatically with new messages, saving time on manual data entry.

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

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

  • Logging new Lark channel messages into an Excel spreadsheet.
  • Automatically creating Excel reports based on Lark data.
  • Triggering Lark notifications from updated Excel data.
  • Managing project tasks in Excel based on Lark conversations.
  • Populating Excel sheets with data extracted from Lark forms.

HowsecureistheLarkintegrationonLatenodewithsensitiveExceldata?

Latenode employs robust security measures, including encryption and access controls, ensuring your sensitive Excel data remains protected throughout the integration process.

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

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

  • Large Excel files may experience processing delays.
  • Complex Excel formulas might require adjustments for compatibility.
  • Rate limits from Lark and Microsoft Excel APIs may affect high-volume workflows.

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