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Beagle Boys (Skroutz Scraper)

scrabber/beagle-boys

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API clients

API endpoints

The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more

Node.js

Python

curl

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 = { "urls": [
8        "https://www.skroutz.gr/s/40208718/Lenovo-V15-G2-ALC-15-6-FHD-Ryzen-3-5300U-8GB-256GB-SSD-W11-Home-Black-US-Keyboard.html",
9        "https://www.skroutz.gr/s/38571219/Lenovo-IdeaPad-3-17IAU7-17-3-IPS-FHD-i5-1235U-8GB-512GB-SSD-W11-S-Arctic-Grey-GR-Keyboard.html",
10        "https://www.skroutz.gr/s/36923496/Huawei-MateBook-D16-16-IPS-FHD-i7-12700H-16GB-512GB-SSD-W11-Home-US-Keyboard.html",
11        "https://www.skroutz.gr/s/37725758/Lenovo-IdeaPad-3-15ALC6-15-6-IPS-FHD-Ryzen-5-5500U-8GB-512GB-SSD-W11-Home-Arctic-Grey-US-Keyboard.html",
12        "https://www.skroutz.gr/s/37214807/HP-Victus-15-fb0007nv-15-6-FHD-Ryzen-5-5600H-8GB-512GB-SSD-GeForce-GTX-1650-W11-Home-GR-Keyboard.html",
13        "https://www.skroutz.gr/s/42302804/Asus-Vivobook-Go-15-E1504FA-BQ521W-15-6-FHD-Ryzen-5-7520U-16GB-512GB-SSD-W11-Home-Green-Grey-GR-Keyboard.html",
14        "https://www.skroutz.gr/s/38735377/Lenovo-IdeaPad-3-15IAU7-15-6-IPS-FHD-i7-1255U-16GB-512GB-SSD-W11-S-Arctic-Grey-GR-Keyboard.html",
15        "https://www.skroutz.gr/s/39217438/Lenovo-IdeaPad-3-15ITL6-15-6-FHD-i3-1115G4-12GB-512GB-SSD-No-OS-Arctic-Grey-US-Keyboard.html",
16    ] }
17
18# Run the Actor and wait for it to finish
19run = client.actor("scrabber/beagle-boys").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start