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Automatically update client workout data in Trainerize from parsed nutrition information extracted by Airparser. Latenodeβs visual editor simplifies complex data transformations, and affordable execution-based pricing keeps costs low as your client base grows.
Connect Airparser and Trainerize in minutes with Latenode.
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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 Trainerize will be your first step. To do this, click "Choose an app," find Airparser or Trainerize, 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 Trainerize from the list of available apps, and choose the action you need from the list of nodes within Trainerize.

Airparser
β
Trainerize
Now, click the Trainerize node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Trainerize settings. Authentication allows you to use Trainerize 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
β
Trainerize
Trigger on Webhook
β
Airparser
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β
Iterator
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Webhook response
After configuring Airparser, Trainerize, 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 Trainerize integration works as expected. Depending on your setup, data should flow between Airparser and Trainerize (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Airparser + Trainerize + Google Sheets: When a new document is uploaded to Airparser, extract client data, update the client's profile in Trainerize, and log the update in Google Sheets.
Trainerize + Airparser + Slack: When a client's status changes in Trainerize, extract the key details using Airparser, and send a congratulatory message via Slack.
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 Trainerize
Automate fitness client management with Trainerize in Latenode. Trigger workflows on training completion, nutrition updates, or new client sign-ups. Send data to CRMs, billing systems, or communication tools. Latenode provides flexible tools like webhooks and custom JavaScript for deep Trainerize integration, streamlining tasks beyond basic automation.
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How can I connect my Airparser account to Trainerize using Latenode?
To connect your Airparser account to Trainerize on Latenode, follow these steps:
Can I automatically update Trainerize clients from parsed meal plans?
Yes! Latenode allows you to automatically update Trainerize client profiles with meal plans parsed from Airparser, saving time and ensuring data accuracy using our visual workflow editor.
What types of tasks can I perform by integrating Airparser with Trainerize?
Integrating Airparser with Trainerize allows you to perform various tasks, including:
How do I handle errors during Airparser data extraction in Latenode?
Latenode provides robust error handling, allowing you to set up alerts or alternative actions when Airparser fails to extract data correctly ensuring workflow stability.
Are there any limitations to the Airparser and Trainerize integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: