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Automatically extract data from complex documents with Airparser and then create engaging marketing videos using that data in Motion. Latenode's visual editor and affordable execution pricing makes this process easier to scale than ever.
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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 Motion will be your first step. To do this, click "Choose an app," find Airparser or Motion, 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 Motion from the list of available apps, and choose the action you need from the list of nodes within Motion.

Airparser
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Motion
Now, click the Motion node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Motion settings. Authentication allows you to use Motion 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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Motion
Trigger on Webhook
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Airparser
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Iterator
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Webhook response
After configuring Airparser, Motion, 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 Motion integration works as expected. Depending on your setup, data should flow between Airparser and Motion (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Airparser + Motion + Slack: When a new document is uploaded to Airparser, the text is extracted. Based on this text, a task is created in Motion. A link to the Motion task is then posted to a specified Slack channel.
Motion + Airparser + Google Sheets: When a task is created or updated in Motion, use Airparser to get relevant documents. Then, log task details and document information in Google Sheets for tracking and analysis.
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 Motion
Use Motion in Latenode to auto-schedule tasks and projects based on real-time data. Trigger Motion updates from other apps, or update other tools when Motion tasks change. Connect it to your CRM or calendar, and automate team workflows. The low-code editor simplifies customization, ensuring tasks are prioritized and deadlines are met across all platforms.
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How can I connect my Airparser account to Motion using Latenode?
To connect your Airparser account to Motion on Latenode, follow these steps:
Can I automatically create Motion tasks from parsed Airparser data?
Yes, you can! Latenode allows you to automatically create Motion tasks from Airparser data, saving time and ensuring tasks are never missed, thanks to no-code automation and data transformation.
What types of tasks can I perform by integrating Airparser with Motion?
Integrating Airparser with Motion allows you to perform various tasks, including:
How does Latenode handle Airparser’s complex data structures?
Latenode’s visual editor and JavaScript support let you transform and map Airparser data to Motion fields, handling even the most complex nested structures.
Are there any limitations to the Airparser and Motion integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: