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Automatically extract data from documents in Airparser and instantly update your Lark database. Latenode's visual editor makes building complex data pipelines simple, with affordable, usage-based pricing and flexible JavaScript options.
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In the workspace, click the βCreate New Scenarioβ button.

Add the first node β 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 Airparser will be your first step. To do this, click "Choose an app," find Lark or Airparser, and select the appropriate trigger to start the scenario.

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

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

Lark
β
Airparser
Now, click the Airparser node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Airparser settings. Authentication allows you to use Airparser through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
β
AI Anthropic Claude 3
β
Airparser
Trigger on Webhook
β
Lark
β
β
Iterator
β
Webhook response
After configuring Lark, Airparser, and any additional nodes, donβt 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.
Run the scenario by clicking βRun onceβ and triggering an event to check if the Lark and Airparser integration works as expected. Depending on your setup, data should flow between Lark and Airparser (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Lark + Airparser + Google Sheets: When a new message containing an invoice is received in a Lark group chat, Airparser extracts the data from the attached document. This data is then added as a new row in a specified Google Sheet for accounting purposes.
Airparser + Lark + Slack: When Airparser identifies urgent issues in a document, a notification is sent to relevant Lark groups and a dedicated Slack channel to alert the team of the issue.
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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About Airparser
Airparser in Latenode extracts data from PDFs, emails, and documents. Automate data entry by feeding parsed content directly into your CRM or database. Use Latenode's logic functions to validate or transform data, then trigger actions like sending notifications or updating records. Scale document processing without complex code.
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How can I connect my Lark account to Airparser using Latenode?
To connect your Lark account to Airparser on Latenode, follow these steps:
Can I extract data from parsed documents to update Lark?
Yes, you can! Latenode's visual editor makes this easy. Automatically update Lark records with parsed data, saving time and improving data accuracy with our no-code blocks and JavaScript support.
What types of tasks can I perform by integrating Lark with Airparser?
Integrating Lark with Airparser allows you to perform various tasks, including:
How secure is my Lark data when using the Latenode integration?
Latenode employs robust security measures, including encryption and access controls, ensuring your Lark data remains protected throughout the integration process and workflow execution.
Are there any limitations to the Lark and Airparser integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: