🔧 Provide normalized weather forecasts with WeatherAPI and Open-Meteo

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Description

Quick overview

This workflow exposes a webhook-based weather proxy API that builds a request from query parameters, fetches forecast data from WeatherAPI or historical averages from Open-Meteo Archive, and returns a simplified JSON response with key temperature and condition fields.

How it works

  1. Receives a webhook request on the /weather-proxy endpoint with query parameters like lat, lon, and start_date.
  2. Builds an external API URL by comparing start_date to today, using WeatherAPI for dates within 14 days and Open-Meteo Archive for older dates.
  3. Calls the selected weather provider over HTTP to retrieve forecast or historical daily weather data.
  4. Normalizes the provider response into a compact JSON payload (max/min temperature and a derived condition such as hot/cold/rain/snow, plus rain chance or rain percentage).
  5. Returns the formatted JSON response to the webhook caller with CORS and JSON content-type headers.

Setup

  1. Replace the hardcoded WeatherAPI key in the parameter-building code with your own WeatherAPI API key.
  2. Ensure the calling app sends lat, lon, and start_date as webhook query parameters (or rely on the default Tokyo coordinates).
  3. Copy the production webhook URL for /weather-proxy and configure it in your client application as the weather endpoint.

🔗 Nodes Used

HTTP Request, Webhook

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup