Multi-City Weather Comparison — 6 Global Cities Side by Side

Created by

Pepe Schuster

Actor

Weather API — Historical & Forecast

Pulls 84 rows: 14 days (1–14 Aug 2026) of daily weather for New York, London, Tokyo, Sydney, Dubai and São Paulo in a single run. Every row carries the coordinate it belongs to plus temperature_2m_max, temperature_2m_min, temperature_2m_mean and precipitation_sum, so you can pivot or chart cities against each other straight from the CSV. Covers both hemispheres, so summer and winter appear in the

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Weather API — Historical & Forecastpepeschuster/open-meteo-weather-api

Coordinate

Date

Temperature 2m max

Temperature 2m min

+1 field

Input

Coordinates (lat,lon)(required):40.71,-74.01+5

From date:2026-08-01

To date:2026-08-14

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 "Multi-City Weather Comparison — 6 Global Cities Side by Side". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Multi-City Weather Comparison — 6 Global Cities Side by Side" 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 "Multi-City Weather Comparison — 6 Global Cities Side by Side" 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.