MET Norway Weather Forecast Scraper - Global Hourly Data
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from $0.04 / 1,000 results
MET Norway Weather Forecast Scraper - Global Hourly Data
$0.04/1K π₯ MET Norway weather scraper! Hourly global forecasts β temperature, wind, rain & pressure. No key. JSON, CSV, Excel or API in seconds. Build weather apps & logistics planning β‘
Pricing
from $0.04 / 1,000 results
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ninhothedev
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MET Norway Weather Forecast Scraper π¦οΈ
Scrape free hourly weather forecasts for anywhere on Earth from the MET Norway (Yr / Norwegian Meteorological Institute) public API β no API key, no account, no rate-limit dashboard. Feed in latitude/longitude pairs and get up to ~10 days of hourly rows with temperature, wind speed and direction, precipitation, air pressure, humidity, cloud cover and weather symbols, exportable as JSON, CSV, Excel or via API.
Why this actor
- No API key. MET Norway's
locationforecast/2.0is fully open. Zero signup friction. - Global coverage. Any coordinate on the planet, land or sea.
- ~90 hourly rows per location, one dataset item per forecast step β instantly chartable.
- Clean flat schema. No nested JSON to unpack; every field is a plain column.
- Cheap. Roughly $0.5 per 1,000 rows in Apify platform usage.
- Compliant User-Agent. The actor sends the descriptive, contact-carrying
User-AgentMET Norway requires (see below).
What you get
| Field | Description |
|---|---|
location_name | Your label, or "lat,lon" when you didn't supply one |
latitude, longitude, altitude | Resolved coordinates and station altitude in metres |
time | Forecast timestamp, ISO-8601 UTC |
air_temperature | Temperature in Β°C |
air_pressure_hpa | Air pressure at sea level in hPa |
relative_humidity | Relative humidity in % |
wind_speed_ms | Wind speed in m/s |
wind_direction_deg | Wind origin direction in degrees |
cloud_cover_pct | Cloud area fraction in % |
symbol_1h / symbol_6h | Weather symbol codes (e.g. cloudy, fair_day, rain) |
precipitation_1h_mm / precipitation_6h_mm | Precipitation in mm |
updated_at | When MET Norway last refreshed the model run |
source, scraped_at | Provenance metadata |
Input
{"mode": "forecast","locations": ["52.52,13.405,Berlin", "59.91,10.75,Oslo"],"maxItems": 200}
- mode β currently
forecast(hourly rows per location). - locations β
"lat,lon"or"lat,lon,Label". The label lands inlocation_name. - maxItems β cap on total rows (default 200, max 2000). One location β 90 rows.
Sample output
{"location_name": "Berlin","latitude": 52.52,"longitude": 13.405,"altitude": 37.0,"time": "2026-07-28T11:00:00Z","air_temperature": 21.3,"air_pressure_hpa": 1021.6,"relative_humidity": 45.3,"wind_speed_ms": 4.8,"wind_direction_deg": 277.3,"cloud_cover_pct": 96.9,"symbol_1h": "cloudy","precipitation_1h_mm": 0.0,"symbol_6h": "partlycloudy_day","precipitation_6h_mm": 0.1,"updated_at": "2026-07-28T11:18:37Z","source": "met.no","scraped_at": "2026-07-28T11:52:04Z"}
Use cases
- Weather apps & dashboards β a free, key-less backend for hourly forecast widgets and charts.
- Logistics & fleet routing β wind, ice and rain risk along delivery corridors before dispatch.
- Agriculture & irrigation β hourly precipitation and humidity for spraying, harvesting and watering windows.
- Event planning β rain probability and wind for outdoor venues, festivals and construction schedules.
- Energy & renewables β wind speed profiles for turbine yield estimates, cloud cover for solar output.
- Research & backtesting β build a longitudinal forecast archive by scheduling daily runs.
The required User-Agent (important)
MET Norway's terms of service require every client to send a descriptive User-Agent header containing contact information. Requests with a generic or missing UA are answered with HTTP 403. This actor sends a compliant identifying UA on both its transports (curl_cffi with a Chrome TLS fingerprint, and a stdlib urllib fallback), so you never have to think about it. Please keep runs reasonable β MET Norway funds this service publicly.
Data is licensed under CC BY 4.0 / NLOD by the Norwegian Meteorological Institute; credit MET Norway when you republish it.
Tips
- Schedule a daily run to build your own forecast-accuracy archive.
- Raise
maxItemswhen scraping more than two locations β the cap is shared across all of them. - Use the
overviewdataset view for a quick location / time / temperature / symbol table. - Symbol codes map 1:1 to Yr's public weather icon set, so you can render them directly.
Related actors
Disclaimer
This actor collects public, non-personal meteorological data only. It is not affiliated with or endorsed by the Norwegian Meteorological Institute. Respect MET Norway's terms of service when using the data.