HTTP Cron Automation for Satellite Positioning

This workflow leverages the power of n8n to automate the process of fetching real-time satellite positioning data from the API. By utilizing a cron job, this workflow is triggered every minute, ensuring that users always have access to the latest ...

n8n

This workflow leverages the power of n8n to automate the process of fetching real-time satellite positioning data from the API. By utilizing a cron job, this workflow is triggered every minute, ensuring that users always have access to the latest information. The workflow first makes an HTTP request to the specified API endpoint, retrieving the current positions of the satellite with ID 25544. It then processes this data, filtering out previously recorded timestamps to ensure only new data is returned. This is achieved through a function node that maintains a static record of timestamps, enhancing data management and reducing redundancy.

The benefits of this workflow are manifold. For organizations involved in satellite tracking or related fields, having timely and accurate data is crucial for decision-making and operational efficiency. This automation eliminates the need for manual data retrieval, saving valuable time and resources. Users can integrate this workflow with other systems, such as dashboards or alert systems, to create a comprehensive monitoring solution.

Use cases for this workflow include aerospace and defense organizations that require constant updates on satellite positions, educational institutions conducting research on satellite behavior, or any business that relies on accurate space data. The ease of integration with other n8n nodes also allows for further enhancements, such as sending notifications or logging data for historical analysis.

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Last updated October 3, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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