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Automatically enrich parsed data. Connect Airparser to Nimble and use Latenode's visual editor to map data fields without code. Add custom logic with JavaScript, and scale affordably by paying only for execution time.
Connect Airparser and Nimble in minutes with Latenode.
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In the workspace, click the “Create New Scenario” button.

Add the first node – 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 Nimble will be your first step. To do this, click "Choose an app," find Airparser or Nimble, 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 Nimble from the list of available apps, and choose the action you need from the list of nodes within Nimble.

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Nimble
Now, click the Nimble node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Nimble settings. Authentication allows you to use Nimble 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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Nimble
Trigger on Webhook
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Airparser
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Iterator
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Webhook response
After configuring Airparser, Nimble, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the Airparser and Nimble integration works as expected. Depending on your setup, data should flow between Airparser and Nimble (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Airparser + Nimble + Slack: When a new document is uploaded to Airparser, the extracted data is used to update a contact in Nimble. A notification is then sent to a Slack channel to alert the accounting team.
Nimble + Airparser + Google Sheets: When a new contact is created in Nimble, Airparser extracts information from associated documents. This extracted data is then added as a new row in a Google Sheet.
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 Nimble
Use Nimble within Latenode to enrich contact data and automate outreach. Update your CRM, personalize emails, and trigger follow-ups based on engagement—all visually. Latenode handles the workflow logic and scale, while Nimble provides targeted contact intelligence for smarter automation.
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How can I connect my Airparser account to Nimble using Latenode?
To connect your Airparser account to Nimble on Latenode, follow these steps:
Can I automatically update Nimble contacts from Airparser data?
Yes, you can! Latenode's visual editor simplifies this. Automate contact updates ensuring your Nimble CRM always reflects the latest Airparser-extracted information, saving you time and improving data accuracy.
What types of tasks can I perform by integrating Airparser with Nimble?
Integrating Airparser with Nimble allows you to perform various tasks, including:
How reliable is Airparser data extraction within Latenode workflows?
Airparser's data extraction is highly reliable. Latenode offers error handling and retry mechanisms ensuring robust workflows even with complex parsing requirements.
Are there any limitations to the Airparser and Nimble integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: