Meteociel Historical Scraper Task
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Retrieve detailed hourly historical weather data for Paris from January 1, 2024. This task provides temperature, humidity, wind conditions, and more, giving you a comprehensive view of the city's weather during this period.
Input
Output fields
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The Meteociel Historical Scraper Actor is ready to run with the inputs already set for "Meteociel Historical Scraper Task". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Meteociel Historical Scraper Task" task
The Meteociel Historical Scraper Actor will start running based on the input automatically. You can also change all the input fields, like start date and city / station name, to match your specific use case.
Receive the "Meteociel Historical Scraper Task" 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 date, hour, city, 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 "Meteociel Historical Scraper Task" task via API.
The Meteociel Historical Scraper Task returns hourly weather observations, including temperature, humidity, pressure, wind speed, rainfall, and weather conditions for a specified city or station.
The task requires a city name or a station code, along with a specified date range with a start and end date.
The task outputs data as structured JSON objects, with each object representing an hourly observation of weather data.
The task automatically resolves the station code from the provided city name if the station code is not specified.
Yes, the task can be scheduled to run automatically in the Apify Console.