Lark and Database Integration

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Automatically log Lark messages in a Database for analysis or compliance. Latenode's visual editor and affordable pay-by-execution pricing make it easier to build and scale data-driven communication workflows without code.

Swap Apps

Lark

Database

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Lark and Database

Create a New Scenario to Connect Lark and Database

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 Database will be your first step. To do this, click "Choose an app," find Lark or Database, 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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Lark

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Connect Lark

Sign In

Run node once

Add the Database Node

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

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Lark

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Database

Authenticate Database

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

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Lark

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Database

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Connect Database

Sign In

Run node once

Configure the Lark and Database 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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Map

The action ID

Run node once

Set Up the Lark and Database 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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Webhook response

Save and Activate the Scenario

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

Lark + Database + Slack: When a new message is posted in a Lark group chat, the message data is saved as a new object in a database. Then, a summary of the new database object is sent to a designated Slack channel.

Database + Lark + Google Sheets: When an object in a database is updated, the updated information is sent as a message to a Lark group chat. Additionally, the database object's information is used to update a row in a Google Sheet for reporting purposes.

Lark and Database 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 Database

Use Database in Latenode to centralize data and build dynamic workflows. Pull data, update records, and trigger actions based on database changes. Automate inventory updates, CRM sync, or lead qualification, and orchestrate complex processes with custom logic, no-code tools, and efficient pay-per-use pricing.

See how Latenode works

FAQ Lark and Database

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

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

Can I sync new Lark form submissions to a Database table?

Yes, you can! Latenode's visual editor makes it easy to map Lark form data directly into your Database, automating data entry and saving valuable time. Plus you can add validation steps with Javascript.

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

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

  • Automatically backing up Lark documents to a Database table.
  • Creating new Database records from new Lark group messages.
  • Updating Database entries based on edits in Lark spreadsheets.
  • Generating custom reports by combining Lark data with Database metrics.
  • Triggering Lark notifications when Database records are updated.

Can I filter Lark data before it's written to my Database in Latenode?

Yes, use Latenode's visual filters or JavaScript blocks to precisely control which Lark data is saved to your Database. Add AI steps too!

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

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

  • Large file attachments from Lark may require optimized handling.
  • Complex Database schemas might need custom JavaScript transformation.
  • Real-time syncing depends on Lark and Database API availability.

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