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

Add the Landbot.io Node
Select the Landbot.io node from the app selection panel on the right.

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

Landbot.io
⚙
Airparser
Authenticate 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.
Configure the Landbot.io and Airparser 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 Landbot.io and Airparser 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.

JavaScript
⚙
AI Anthropic Claude 3
⚙
Airparser
Trigger on Webhook
⚙
Landbot.io
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Landbot.io, Airparser, 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 Landbot.io and Airparser integration works as expected. Depending on your setup, data should flow between Landbot.io and Airparser (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Landbot.io and Airparser
Landbot.io + Airparser + Google Sheets: When a new event is triggered in Landbot.io (e.g., form submission), the data, particularly the address field, is sent to Airparser. Airparser parses the address from the submitted document. The parsed address and other relevant data are then stored in a new row in Google Sheets.
Landbot.io + Airparser + Salesforce: When a document is uploaded to Landbot.io, Airparser extracts specific details from it. These extracted details are then used to update an existing record in Salesforce. The document needs to be uploaded to Airparser first.
Landbot.io and Airparser integration alternatives
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.
Similar apps
Related categories
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.
Similar apps
Related categories
See how Latenode works
FAQ Landbot.io and Airparser
How can I connect my Landbot.io account to Airparser using Latenode?
To connect your Landbot.io account to Airparser on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Landbot.io and click on "Connect".
- Authenticate your Landbot.io and Airparser accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically extract data from PDFs collected by Landbot?
Yes, you can! Latenode simplifies this process, letting you parse documents from Landbot.io submissions and send extracted info to other apps—all without coding.
What types of tasks can I perform by integrating Landbot.io with Airparser?
Integrating Landbot.io with Airparser allows you to perform various tasks, including:
- Automatically extracting order details from invoices submitted via Landbot.
- Parsing contact information from resumes collected through a Landbot chatbot.
- Updating a CRM with data extracted from forms completed in Landbot.
- Analyzing customer feedback submitted via Landbot using AI steps.
- Creating reports from data automatically scraped using Airparser, triggered by Landbot.
Can I use custom JavaScript functions with Landbot.io data in Latenode?
Yes! Latenode's environment supports custom JavaScript, so you can manipulate Landbot.io data for unique parsing or data transformation needs.
Are there any limitations to the Landbot.io and Airparser integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits from Landbot.io and Airparser API apply.
- Complex PDF structures may require advanced Airparser configuration.
- Real-time processing depends on the speed of both Landbot.io and Airparser.