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Heating Degree Days Inputs — US Gas Demand Cities, January

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

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Weather API — Historical & Forecast
Weather API — Historical & Forecastpepeschuster/open-meteo-weather-api
Coordinate
Date
Temperature 2m max
Temperature 2m min
+1 field
Text
Number
Boolean
List
Object

Input

Coordinates (lat,lon)(required):41.85,-87.65+3
From date:2026-01-01
To date:2026-01-31

Output fields

Coordinate
Date
Temperature 2m max
Temperature 2m min
Precipitation sum

How it works

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The Weather API — Historical & Forecast Actor is ready to run with the inputs already set for "Heating Degree Days Inputs — US Gas Demand Cities, January". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Heating Degree Days Inputs — US Gas Demand Cities, January" task

The Weather API — Historical & Forecast Actor will start running based on the input automatically. You can also change all the input fields, like coordinates (lat,lon), from date, and more, to match your specific use case.

Receive the "Heating Degree Days Inputs — US Gas Demand Cities, January" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as coordinate, date, temperature 2m max, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Heating Degree Days Inputs — US Gas Demand Cities, January" task via API.

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