# Heating Degree Days Inputs — US Gas Demand Cities, January

**Use case:** 

Returns 124 rows: daily mean, max and min temperature plus max wind speed for the four cities that drive US winter natural-gas demand — Chicago, New York, Boston and Minneapolis — across all of January 2026. temperature_2m_mean is the exact input you need to compute population-weighted HDDs, and wind is included because it drives building heat loss. Aimed at natural-gas and power traders, utility 

## Input

```json
{
  "coordinates": [
    "41.85,-87.65",
    "40.71,-74.01",
    "42.36,-71.06",
    "44.98,-93.27"
  ],
  "fromDate": "2026-01-01",
  "toDate": "2026-01-31",
  "dailyVars": [
    "temperature_2m_mean",
    "temperature_2m_max",
    "temperature_2m_min",
    "windspeed_10m_max"
  ],
  "maxItems": 124
}
```

## Output

```json
{
  "coordinate": {
    "label": "Coordinate"
  },
  "date": {
    "label": "Date"
  },
  "temperature_2m_max": {
    "label": "Temperature 2m max"
  },
  "temperature_2m_min": {
    "label": "Temperature 2m min"
  },
  "precipitation_sum": {
    "label": "Precipitation sum"
  }
}
```

## About this Actor

This example demonstrates how to use [Weather API — Historical & Forecast](https://apify.com/pepeschuster/open-meteo-weather-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/pepeschuster/open-meteo-weather-api.md) 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/pepeschuster/open-meteo-weather-api.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).