Investing.com Scraper

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8    "startUrls": [
9        { "url": "https://www.investing.com/indices/eu-stoxx50-news/" },
10        { "url": "https://www.investing.com/news/latest-news/" },
11        { "url": "https://www.investing.com/news/most-popular-news/" },
12        { "url": "https://www.investing.com/news/headlines/" },
13        { "url": "https://www.investing.com/news/cryptocurrency-news/" },
14        { "url": "https://www.investing.com/news/stock-market-news/" },
15        { "url": "https://www.investing.com/news/commodities-news/" },
16        { "url": "https://www.investing.com/news/forex-news/" },
17        { "url": "https://www.investing.com/news/economy/" },
18        { "url": "https://www.investing.com/news/economic-indicators/" },
19        { "url": "https://www.investing.com/news/politics/" },
20        { "url": "https://www.investing.com/news/world-news/" },
21    ],
22    "dateRange": "2023/1/5 - 2020/1/5",
23    "maxArticles": 50,
24    "maxDepth": 20,
25    "proxyConfiguration": { "useApifyProxy": False },
26}
27
28# Run the Actor and wait for it to finish
29run = client.actor("glitch_404/investing-scraper").call(run_input=run_input)
30
31# Fetch and print Actor results from the run's dataset (if there are any)
32print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
33for item in client.dataset(run["defaultDatasetId"]).iterate_items():
34    print(item)
35
36# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start