Open-Meteo Scraper · Weather Forecasts, History & Locations
Pricing
from $1.30 / 1,000 weather location returneds
Scrape weather forecasts, historical climate archives, and geocoding location data from the Open-Meteo API. Fast HTTP scraper charging per returned location report.
You can access the Open-Meteo Scraper · Weather Forecasts, History & Locations programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "mode": "forecast",10 "locations": [11 "London",12 "Paris",13 "Berlin",14 "Tokyo",15 "New York",16 ],17 "countryCode": "",18 "forecastDays": 7,19 "startDate": "2024-01-01",20 "endDate": "2024-01-07",21 "temperatureUnit": "celsius",22 "windSpeedUnit": "kmh",23 "precipitationUnit": "mm",24 "maxLocations": 50,25}26
27# Run the Actor and wait for it to finish28run = client.actor("reapx/open-meteo-scraper").call(run_input=run_input)29
30# Fetch and print Actor results from the run's dataset (if there are any)31print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")32for item in client.dataset(run.default_dataset_id).iterate_items():33 print(item)34
35# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Open-Meteo Scraper · Weather Forecasts, History & Locations API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: