# Open-Meteo Scraper — example run

**Use case:** 

Ready-to-run Open-Meteo Scraper. Scrape Open-Meteo for global weather: current conditions, hourly and daily forecasts, and historical reanalysis back to…

## Input

```json
{
  "locations": [
    "52.52,13.41",
    "Tokyo"
  ],
  "variables": [
    "temperature_2m",
    "relative_humidity_2m",
    "precipitation",
    "wind_speed_10m"
  ],
  "dailyVariables": [
    "weather_code",
    "temperature_2m_max",
    "temperature_2m_min",
    "precipitation_sum"
  ],
  "forecastDays": 3,
  "historicalFrom": "2024-01-01",
  "historicalTo": "2024-12-31",
  "timezone": "auto",
  "units": "metric"
}
```

## Output

```json
{
  "location": {
    "label": "Location"
  },
  "resolvedName": {
    "label": "Resolved name"
  },
  "country": {
    "label": "Country"
  },
  "currentTemperature": {
    "label": "Current temperature"
  },
  "currentWeatherDescription": {
    "label": "Current weather description"
  },
  "timezone": {
    "label": "Timezone"
  },
  "sourceUrl": {
    "label": "Source URL",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [Open-Meteo Scraper: Global Weather & Historical Archive](https://apify.com/arman-bd/open-meteo-weather-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/arman-bd/open-meteo-weather-scraper) to learn more, explore other use cases, and run it yourself.


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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/arman-bd/open-meteo-weather-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).