Weather Scraper

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "startUrls": [
10        { "url": "https://weather.com/weather/today/l/5aea1d50a6d6b9e99cf89ba79f463d67dcf21ea5061990aae1ffc1c7fa8911a9" },
11        { "url": "https://weather.com/weather/today/l/ada030b2de8db495da2d93d5a2ecf30de1ce8b54cb09725d19c803543685646d" },
12    ],
13    "locations": [
14        "Montgomery, Alabama",
15        "Juneau, Alaska",
16    ],
17    "locationIds": [
18        "e60256f3426acd3c1b3380921210fcffeab628a120c41d1de03b59a0f0dd32ad",
19        "bf217d537cc1c8074ec195ce07fb74de3c1593caa6033b7c3be4645ccc5b01de",
20    ],
21    "timeFrame": "today",
22    "units": "imperial",
23    "maxItems": 10,
24    "proxyConfiguration": { "useApifyProxy": True },
25    "extendOutputFunction": "($) => { return {} }",
26    "customMapFunction": "(object) => { return {...object} }",
27}
28
29# Run the Actor and wait for it to finish
30run = client.actor("epctex/weather-scraper").call(run_input=run_input)
31
32# Fetch and print Actor results from the run's dataset (if there are any)
33print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
34for item in client.dataset(run["defaultDatasetId"]).iterate_items():
35    print(item)
36
37# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start