# Hourly Weather Forecast for Any City

**Use case:** 

Hour-by-hour temperature, precipitation and wind forecast for one or many cities, with units on every row.

## Input

```json
{
  "locations": [
    {
      "query": "Berlin"
    }
  ],
  "current": false,
  "hourly": [
    "temperature_2m",
    "precipitation_probability",
    "precipitation",
    "wind_speed_10m"
  ],
  "daily": [
    "temperature_2m_max",
    "temperature_2m_min",
    "precipitation_sum"
  ],
  "air_quality": [
    "us_aqi",
    "pm2_5"
  ],
  "forecast_days": 1,
  "timezone": "auto",
  "units": "metric",
  "max_locations": 100,
  "simulate_upstream_failure": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "location": {
    "label": "Location",
    "format": "object"
  },
  "timestamp": {
    "label": "Hour",
    "format": "string"
  },
  "temperature_2m": {
    "label": "Temp",
    "format": "number"
  },
  "precipitation_probability": {
    "label": "Precip %",
    "format": "number"
  },
  "precipitation": {
    "label": "Precip",
    "format": "number"
  },
  "wind_speed_10m": {
    "label": "Wind",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [Weather Data — Multi-Location Forecasts (Open-Meteo)](https://apify.com/leorochasantos/weather-data) with a specific input configuration. Visit the [Actor detail page](https://apify.com/leorochasantos/weather-data) 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/leorochasantos/weather-data.md

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