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Popular Integration

OpenWeatherMap & Home Assistant

OpenWeatherMap provides hyperlocal weather forecast data to Home Assistant, enabling weather-responsive automations. The integration delivers current conditions, hourly forecasts, and daily forecasts including temperature, humidity, wind, pressure, UV index, and precipitation probability.

Weather data from OpenWeatherMap drives smart automations: close blinds before rain, pre-cool the house before a heat wave, adjust irrigation schedules based on precipitation forecasts, or warn clients about freeze conditions that could affect outdoor equipment.

Cloud-based Requires internet connection
OpenWeatherMap Visit OpenWeatherMap Home Assistant HA Documentation

How OpenWeatherMap Works with Home Assistant

Getting OpenWeatherMap connected to Home Assistant and running reliably.

1

Pair your sensors

Add OpenWeatherMap through the integrations panel. Sensors appear as entities with real-time readings for temperature, humidity, motion, contact, and more.

2

Trigger automations

Use OpenWeatherMap sensor readings as triggers and conditions in automations. A motion sensor triggers lights, a contact sensor arms the alarm, a temperature reading adjusts the HVAC.

3

Historical analytics

Track OpenWeatherMap sensor data over time with graphs and statistics. Identify patterns — when is the house warmest, which rooms have humidity issues, how often doors open.

Common OpenWeatherMap Issues

The problems installers run into with OpenWeatherMap and Home Assistant — and how a managed setup prevents them.

Free tier API limitations

The free tier limits API calls to 1,000/day and excludes features like minute-by-minute precipitation forecasting. Busy automations can exhaust the daily quota.

Forecast accuracy for hyperlocal conditions

OpenWeatherMap forecasts are based on weather models, not local sensor data. Microclimates, urban heat islands, and elevation differences can make forecasts inaccurate for a specific property.

Why installers choose managed weather integration

  • Local weather stations combined with forecast data for accurate property-level predictions
  • Weather-responsive automations for climate, irrigation, and cover control
  • API tier management to balance data freshness with cost

Frequently Asked Questions

More Sensors & Environment Integrations

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