Baserow and Lark Integration

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Sync Baserow database updates to Lark for team-wide notifications. Latenode's visual editor and affordable execution pricing make it easier than ever to keep your team aligned, even with complex Baserow workflows, and automate notifications.

Swap Apps

Baserow

Lark

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Baserow and Lark

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

Add the Baserow Node

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

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Baserow

Configure the Baserow

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

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Baserow

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Connect Baserow

Sign In

Run node once

Add the Lark Node

Next, click the plus (+) icon on the Baserow 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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Baserow

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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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Baserow

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Lark

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#2 Lark

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Connection *

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Connect Lark

Sign In

Run node once

Configure the Baserow 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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Baserow

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Lark

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Lark Oauth 2.0

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Change

Select an action *

Select

Map

The action ID

Run node once

Set Up the Baserow 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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Lark

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Trigger on Webhook

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Baserow

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Iterator

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Webhook response

Save and Activate the Scenario

After configuring Baserow, 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 Baserow and Lark integration works as expected. Depending on your setup, data should flow between Baserow 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 Baserow and Lark

Baserow + Lark + Slack: When a new row is created in Baserow, a notification is sent to a Lark group chat. A summary of the new Baserow entry is also sent to a dedicated Slack channel.

Lark + Baserow + Google Sheets: When a new message is posted in a Lark group chat, the message is summarized and stored in a Baserow database. The message is then archived in a Google Sheet for record-keeping.

Baserow and Lark integration alternatives

About Baserow

Use Baserow with Latenode to build flexible databases that trigger automated workflows. Update Baserow rows from any app, or use row changes to start complex flows. Perfect for managing data within Latenode automations without complex coding. Scale easily with Latenode’s efficient, pay-per-execution pricing.

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 Baserow and Lark

How can I connect my Baserow account to Lark using Latenode?

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

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

Can I automatically update Lark from new Baserow entries?

Yes! Latenode allows real-time Baserow to Lark updates. Trigger workflows on new Baserow data and use Latenode's visual editor to customize message content for seamless communication.

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

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

  • Automatically posting new Baserow records to a Lark group chat.
  • Creating Lark tasks from updated rows in Baserow.
  • Sending daily summaries of Baserow data to Lark.
  • Triggering Baserow actions from specific Lark messages.
  • Managing project updates between Baserow databases and Lark channels.

Can Latenode handle large data volumes between Baserow and Lark?

Yes. Latenode's robust architecture efficiently manages high data volumes, ensuring reliable data transfer between Baserow and Lark, even with complex workflows.

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

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

  • Complex data transformations might require JavaScript coding knowledge.
  • Rate limits imposed by Baserow and Lark may affect high-frequency workflows.
  • Advanced Baserow features might not have direct equivalents in Lark.

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