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Automatically enrich lead data from Enrich Layer, then send targeted messages in Lark. Latenode’s visual editor simplifies setup, while affordable execution-based pricing scales your outreach efficiently.
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Create a New Scenario to Connect Enrich Layer 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 Enrich Layer, triggered by another scenario, or executed manually (for testing purposes). In most cases, Enrich Layer or Lark will be your first step. To do this, click "Choose an app," find Enrich Layer or Lark, and select the appropriate trigger to start the scenario.
Add the Enrich Layer Node
Select the Enrich Layer node from the app selection panel on the right.
Enrich Layer
Configure the Enrich Layer
Click on the Enrich Layer node to configure it. You can modify the Enrich Layer URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Lark Node
Next, click the plus (+) icon on the Enrich Layer node, select Lark from the list of available apps, and choose the action you need from the list of nodes within Lark.
Enrich Layer
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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.
Configure the Enrich Layer 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.
Set Up the Enrich Layer and Lark Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Lark
Trigger on Webhook
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Enrich Layer
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Enrich Layer, 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 Enrich Layer and Lark integration works as expected. Depending on your setup, data should flow between Enrich Layer and Lark (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Lark + Enrich Layer + HubSpot: When a new user is added to a Lark group chat, their information is enriched using Enrich Layer, and then a contact is created or updated in HubSpot.
Lark + Enrich Layer + Airtable: When a new user is added to a Lark group chat, their details are enriched using Enrich Layer, and then a new record is created in Airtable.
About Enrich Layer
Enrich Layer inside Latenode automates data validation and enhancement. Fix errors and add missing info to leads or contacts. Clean up data from any source before it reaches your CRM or database. Latenode handles complex logic and scales the process without per-step costs, keeping data accurate and workflows efficient.
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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.
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How can I connect my Enrich Layer account to Lark using Latenode?
To connect your Enrich Layer account to Lark on Latenode, follow these steps:
Can I enrich Lark contact data using Enrich Layer?
Yes, you can! Latenode allows you to automatically enrich Lark contacts with data from Enrich Layer, ensuring you always have the most up-to-date and complete contact information.
What types of tasks can I perform by integrating Enrich Layer with Lark?
Integrating Enrich Layer with Lark allows you to perform various tasks, including:
How does Latenode handle data transformations between Enrich Layer and Lark?
Latenode uses flexible data mapping, JavaScript code blocks, and AI to seamlessly transform data between Enrich Layer and Lark.
Are there any limitations to the Enrich Layer and Lark integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: