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🌤️ Open-Meteo — Weather Forecast & Historical Data — Apify Actor

Scrapes weather forecasts, historical weather, and air quality data from the Open-Meteo API. Supports multi-location batch queries, 50+ weather variables, city name geocoding, and data going back to 1940. No API key required.

Features

• 3 data modes — forecast (up to 16 days), historical (1940–present), and air quality.
• Multi-location — batch query any number of cities or coordinates in one run.
• Auto-geocoding — type city names like Lahore, PK — coordinates are resolved automatically.
• 50+ weather variables — temperature, precipitation, wind, humidity, UV, cloud cover, soil, solar radiation, and more.
• 21 air quality variables — PM2.5, PM10, ozone, NO₂, CO, pollen, AQI indices.
• Hourly + Daily — fetch either or both granularities.
• Unit selection — °C/°F, km/h/mph/m·s⁻¹/knots, mm/inches.
• WMO weather codes decoded into human-readable descriptions.
• 4 output formats — one-per-day, one-per-hour, one-per-location, raw.

Input Examples

7-Day Forecast for Multiple Cities

{
"mode":"forecast",
"locations":"New York, US\nLondon, UK\nTokyo, JP\nLahore, PK",
"dailyVariables":[
"temperature_2m_max","temperature_2m_min",
"precipitation_sum","windspeed_10m_max",
"weathercode","sunrise","sunset","uv_index_max"
],
"forecastDays":7,
"temperatureUnit":"celsius",
"outputFormat":"one_per_day"
}

Hourly Forecast with Wind & Humidity

{
"mode":"forecast",
"locations":"48.8566,2.3522,Paris\n40.7128,-74.0060,New York",
"hourlyVariables":[
"temperature_2m","apparent_temperature",
"relative_humidity_2m","windspeed_10m",
"precipitation_probability","weathercode"
],
"forecastDays":3,
"outputFormat":"one_per_hour"
}

Historical Weather for 2024

{
"mode":"historical",
"locations":"Islamabad, PK\nDelhi, IN",
"dailyVariables":[
"temperature_2m_max","temperature_2m_min",
"precipitation_sum","windspeed_10m_max"
],
"startDate":"2024-01-01",
"endDate":"2024-12-31",
"outputFormat":"one_per_day"
}

Air Quality Monitoring

{
"mode":"air_quality",
"locations":"Lahore, PK\nDelhi, IN\nBeijing, CN",
"airQualityVariables":[
"pm2_5","pm10","us_aqi",
"nitrogen_dioxide","ozone","carbon_monoxide"
],
"forecastDays":5,
"outputFormat":"one_per_hour"
}

Location Input Formats

Each line in the locations field can be:

Output Formats

One Per Day (default)

Best for daily data. Each row = one location × one date.

One Per Hour

Best for hourly data. Each row = one location × one hour.

One Per Location

All daily/hourly data nested under each location. Best for JSON export.

Raw

Original API response with _location_label added.

Daily Variables (21 available)

Temperature (max/min, actual/apparent), precipitation (total/rain/snow/hours/probability), weather code, sunrise/sunset, sunshine/daylight duration, wind (speed/gusts/direction), solar radiation, evapotranspiration, UV index.

Hourly Variables (29 available)

Temperature, apparent temperature, humidity, dewpoint, precipitation, rain, snowfall, snow depth, weather code, pressure (MSL/surface), cloud cover (total/low/mid/high), visibility, wind (speed/direction/gusts at 10m and 80m), UV index, is_day flag, sunshine duration, radiation (shortwave/direct/diffuse), soil temperature, soil moisture.

Air Quality Variables (21 available)

PM10, PM2.5, CO, NO₂, SO₂, O₃, dust, UV, ammonia, pollen (6 types), European AQI, US AQI (total and per-pollutant).

WMO Weather Codes

The actor automatically decodes WMO numeric codes into descriptions: