NOAA GHCN Station Reference — Global Directory

NOAA/NWS METAR latest observation per station (Canada excluded) as clean per-record data - raw text, station, time, coordinates, temp, wind, visibility, pressure and flight category. Hourly refresh. Public domain. $0.05 per record.

NOAA Daily Weather — Global Station History

sourcerow/noaa-daily-weather

Daily weather from 132,501 stations worldwide, some going back to the 1800s — temperature, rainfall and snow, one row per station per day, with the quality flags NOAA leaves in the file.

Fetch normalized daily weather observations from NOAA/NCEI. Station name resolution, unit conversion, and statistical summaries for 100,000+ global weather stations.

NOAA Weather Scraper

parseforge/noaa-weather-scraper

Scrape NOAA Weather data including active alerts, daily and hourly forecasts, current observations, and weather station metadata for any US state or coordinate pair. Returns each record as a flat row with a fixed schema.

Spain fuel prices (MINCOTUR) as clean per-record data - one wide record per station with brand, location and 23 fuel-price columns kept verbatim. 11,470 stations. Source + date cited (Ley 37/2007). $0.05 per record.

Italy MIMIT (Osservaprezzi Carburanti) active fuel-station registry as clean per-record data - id, brand, type, name, address, municipality, province, coordinates. Operator (Gestore) dropped. IODL 2.0. $0.05 per record.

France fuel prices (roulez-eco) as clean per-record data - one row per station and fuel, with coordinates, price in EUR/litre and update time. 9,802 stations, ~32,500 prices. Licence Ouverte 2.0. $0.05 per record.

NOAA METAR Weather Station Data Extractor

zinin/noaa-metar-weather-extractor

Extract NOAA METAR observations for selected weather stations, preserving source reports, measurement units, age checks and clear missing or partial results.

DWD Germany Weather Stations Scraper

parseforge/dwd-germany-weather-stations-scraper

Scrapes the Deutscher Wetterdienst public station directory. Returns each station as a flat row with ID, name, latitude, longitude, altitude, and operational dates.

Keyless, pay-per-record EA flood-monitoring station data. One row per station — reference, label, catchment, river, town, lat/long, easting/northing, status. Station/infrastructure grain; OGL v3.0; no person data.