Who is this workflow for? This workflow automates the process of capturing the International Space Station’s (ISS) real-time location and storing it in Google BigQuery every minute. By leveraging n8n, you can seamlessly integrate data retrieval from the ISS API with your BigQuery datasets, enabling continuous tracking and analysis..

What does this workflow do?

  • Cron Node:
  • Function: Acts as a trigger for the workflow.
  • Configuration: Set to execute the workflow every minute, ensuring continuous data collection.
  • HTTP Request Node:
  • Function: Fetches the current position of the ISS.
  • Configuration: Makes a GET request to https://api.wheretheiss.at/v1/satellites/25544/positions to retrieve the latest location data.
  • Set Node:
  • Function: Filters and formats the retrieved data.
  • Configuration: Selects relevant fields from the API response, such as latitude, longitude, altitude, and timestamp, ensuring only necessary information is passed to the next node.
  • Google BigQuery Node:
  • Function: Inserts the processed data into BigQuery.
  • Configuration: Connects to your Google BigQuery account and appends the data to the position table. If you prefer a different table name, adjust the configuration accordingly.

🤖 Why Use This Automation Workflow?

  • Real-Time Tracking: Continuously monitor the ISS’s position with minute-by-minute updates.
  • Data Integration: Easily store and manage ISS location data within Google BigQuery for advanced analytics.
  • Automation: Eliminate manual data fetching and entry, ensuring accuracy and efficiency.

👨‍💻 Who is This Workflow For?

This workflow is ideal for satellite enthusiasts, data analysts, researchers, and developers who require up-to-date ISS location data for monitoring, analysis, or integration into larger data systems.

🎯 Use Cases

  1. Space Research: Analyze the ISS’s orbital patterns and movement over time for academic or scientific studies.
  2. Educational Tools: Create real-time dashboards or applications that visualize the ISS’s current position for educational purposes.
  3. Alert Systems: Develop automated alerts based on the ISS’s position relative to specific geographic locations.

TL;DR

This n8n workflow provides an automated solution to track the ISS’s location in real-time by fetching its position every minute and storing the data in Google BigQuery. It simplifies the integration process, enabling continuous monitoring and facilitating in-depth analysis of the ISS’s movements.

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