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Automatically extract key data from documents parsed by Airparser and instantly feed it into Landbot.io chatbots for personalized customer interactions. Build this automation visually on Latenode, easily customizing it with JavaScript or even AI logic, and scale affordably.
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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 Airparser, triggered by another scenario, or executed manually (for testing purposes). In most cases, Airparser or Landbot.io will be your first step. To do this, click "Choose an app," find Airparser or Landbot.io, and select the appropriate trigger to start the scenario.

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

Airparser
Click on the Airparser node to configure it. You can modify the Airparser URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Next, click the plus (+) icon on the Airparser node, select Landbot.io from the list of available apps, and choose the action you need from the list of nodes within Landbot.io.

Airparser
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Landbot.io
Now, click the Landbot.io node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Landbot.io settings. Authentication allows you to use Landbot.io 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
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AI Anthropic Claude 3
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Landbot.io
Trigger on Webhook
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Airparser
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Iterator
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Webhook response
After configuring Airparser, Landbot.io, 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 Airparser and Landbot.io integration works as expected. Depending on your setup, data should flow between Airparser and Landbot.io (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Airparser + Landbot.io + Google Sheets: When a document is uploaded to Airparser, the extracted data is sent to a Landbot.io chatbot to interact with a user. The conversation details are then logged in a Google Sheet for record-keeping.
Landbot.io + Airparser + Slack: Qualify leads using a Landbot.io chatbot. Use data extracted from Airparser to personalize the chatbot interaction. Notify the sales team on Slack when a qualified lead is identified.
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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About Landbot.io
Use Landbot.io in Latenode to build no-code chatbots, then connect them to your wider automation. Capture leads, qualify prospects, or provide instant support and trigger follow-up actions directly in your CRM, databases, or marketing tools. Latenode handles complex logic, scaling, and integrations without per-step fees.
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How can I connect my Airparser account to Landbot.io using Latenode?
To connect your Airparser account to Landbot.io on Latenode, follow these steps:
Can I automatically update Landbot.io from parsed Airparser data?
Yes, you can. Latenode lets you map Airparser data directly into Landbot.io, triggering updates instantly. This real-time sync saves time and keeps your chatbot flows current.
What types of tasks can I perform by integrating Airparser with Landbot.io?
Integrating Airparser with Landbot.io allows you to perform various tasks, including:
Can I use JavaScript to transform data between Airparser and Landbot.io?
Yes, Latenode allows you to use JavaScript code blocks to format or manipulate data as it moves between Airparser and Landbot.io for complex transformations.
Are there any limitations to the Airparser and Landbot.io integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: