Qwilr and Airparser Integration

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Automatically extract key proposal data from Qwilr documents using Airparser, then use Latenode’s visual editor to map that data into your CRM. Leverage flexible API integrations and scale without overpaying, thanks to affordable pricing.

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Qwilr

Airparser

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Qwilr and Airparser

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

Add the Qwilr Node

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

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Qwilr

Configure the Qwilr

Click on the Qwilr node to configure it. You can modify the Qwilr URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Qwilr

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Connect Qwilr

Sign In

Run node once

Add the Airparser Node

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

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Qwilr

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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.

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Qwilr

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Airparser

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Connect Airparser

Sign In

Run node once

Configure the Qwilr 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.

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Airparser Oauth 2.0

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Select an action *

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Map

The action ID

Run node once

Set Up the Qwilr 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.
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Save and Activate the Scenario

After configuring Qwilr, 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 Qwilr and Airparser integration works as expected. Depending on your setup, data should flow between Qwilr 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 Qwilr and Airparser

Qwilr + Airparser + Salesforce: When a Qwilr proposal is accepted, Airparser extracts the data from the Qwilr document. The extracted data is then used to update the lead status in Salesforce.

Qwilr + Airparser + Google Sheets: When a Qwilr proposal is accepted, Airparser extracts specific data. This extracted data is then added as a new row in a Google Sheet for sales analysis.

Qwilr and Airparser integration alternatives

About Qwilr

Automate Qwilr quote creation inside Latenode workflows. Automatically generate Qwilr proposals when triggered by new CRM leads or form submissions. Send data to Qwilr, then use Latenode to track views, trigger follow-ups, and update your database—no manual data entry needed. Scale personalized sales flows with ease.

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.

See how Latenode works

FAQ Qwilr and Airparser

How can I connect my Qwilr account to Airparser using Latenode?

To connect your Qwilr account to Airparser on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Qwilr and click on "Connect".
  • Authenticate your Qwilr and Airparser accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically update Qwilr quotes from parsed invoices?

Yes, you can! Latenode lets you visually map Airparser data to Qwilr, automatically updating quote details. This eliminates manual data entry and ensures accuracy.

What types of tasks can I perform by integrating Qwilr with Airparser?

Integrating Qwilr with Airparser allows you to perform various tasks, including:

  • Extracting data from parsed invoices to populate Qwilr quote line items.
  • Automatically updating client information in Qwilr from Airparser data.
  • Creating new Qwilr quotes based on parsed information from Airparser.
  • Triggering Qwilr quote creation when specific data is parsed by Airparser.
  • Sending Qwilr quote URLs to clients based on Airparser data analysis.

How do I handle errors when integrating Qwilr with Latenode?

Latenode provides detailed error logs and allows you to set up custom error handling, ensuring reliable Qwilr workflows.

Are there any limitations to the Qwilr and Airparser integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex data transformations may require JavaScript knowledge.
  • Real-time updates depend on Qwilr and Airparser API availability.
  • Advanced Qwilr formatting options might require custom code blocks.

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