Enrich GPS Coordinates With Location And Weather Data
Pass GPS coordinates to a webhook and get back address, timezone, live weather, sun times, and icons in under three seconds.
What it does
Receives GPS coordinates via a webhook and parallel fetches address, timezone, weather, and sun data from free APIs. Merges the responses into a single JSON object with 28 enriched fields including detailed location components and visual assets. Returns the structured data in under three seconds for use in tracking or analytics apps.
Step by step
- Parse incoming webhook payload to extract latitude and longitude coordinates.
- Construct four parallel HTTP GET requests using the specified API endpoints for address, timezone, weather, and sun data.
- Merge the JSON responses from all four services into a single output object containing exactly 28 fields.
- Return the merged JSON response with an HTTP status code of 200.
Where the LLM does the work
- Design the specific field mapping logic to ensure all 28 required enriched fields are correctly populated from disparate API schemas.
- Generate error handling strategies for partial failures where one API fails but others succeed, ensuring graceful degradation.
- Optimize the JSON structure for readability and performance within the three-second latency constraint.
Watch out for
Tools that fit
The agent brief
You are helping me build the following AI agent workflow. ## Goal Enrich GPS Coordinates With Location And Weather Data: Pass GPS coordinates to a webhook and get back address, timezone, live weather, sun times, and icons in under three seconds. ## Specification - What it does: Receives GPS coordinates via a webhook and parallel fetches address, timezone, weather, and sun data from free APIs. Merges the responses into a single JSON object with 28 enriched fields including detailed location components and visual assets. Returns the structured data in under three seconds for use in tracking or analytics apps. - Trigger: Triggered by an event (Event ยท on webhook request with coordinates) - Autonomy: Fully hands-off - Expected setup effort: under an hour - Tools/services involved: - HTTP Request: Receive webhook and call external APIs - OpenWeatherMap: Fetch live weather data ## Known pitfalls, handle each one explicitly in your implementation 1. OpenWeatherMap free tier limits requests heavily so implement caching to avoid hitting rate caps during peak traffic. 2. TimezoneDB may return incorrect offsets near political borders so validate timezone data against known geographic boundaries. 3. Sunrise-Sunset API lacks detailed weather context so cross-reference with OpenWeatherMap to ensure consistent visual asset generation. ## Reference implementation https://n8n.io/workflows/13411 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/enrich-gps-coordinates-with-location-and-weather-data/ via usecasesforagents.com
Frequently asked questions
Can I use a different Niche API than OpenWeatherMap?
Yes. OpenWeatherMap is only the example niche api in this recipe. The same flow works with Bitly, Google Maps Distance Matrix API, Open-Meteo API and Philips IntelliVue Devices. Swap the niche api connection and keep the rest of the setup as written.
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Who it's for
Built for developers who want the busywork around code automated, not the code itself.