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Open-Meteo Scraper — example run

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

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Open-Meteo Scraper: Global Weather & Historical Archive
Open-Meteo Scraper: Global Weather & Historical Archivearman-bd/open-meteo-weather-scraper
Location
Resolved name
Country
Current temperature
+3 fields
Text
Number
Boolean
List
Object

Input

Locations(required):52.52,13.41+1
Hourly variables:temperature_2m+3
Daily variables:weather_code+3
Forecast days:3
Timezone:auto
Units:metric

Output fields

Location
Resolved name
Country
Current temperature
Current weather description
Timezone
Source URL

How it works

Sign up on Apify or log in

The Open-Meteo Scraper: Global Weather & Historical Archive Actor is ready to run with the inputs already set for "Open-Meteo Scraper — example run". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Open-Meteo Scraper — example run" task

The Open-Meteo Scraper: Global Weather & Historical Archive Actor will start running based on the input automatically. You can also change all the input fields, like locations, hourly variables, and more, to match your specific use case.

Receive the "Open-Meteo Scraper — example run" 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 location, resolved name, country, 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 "Open-Meteo Scraper — example run" task via API.

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