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Asos Data Scraper
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Asos Data Scraper

Asos Data Scraper

epctex/asos-scraper
Try for free

3 days trial then $30.00/month - No credit card required now

Asos Data Scraper allows seamless extraction of publicly available data from ASOS products. It efficiently gathers essential information such as images and descriptions. The actor's capabilities extend to supporting category URLs, enabling comprehensive scraping.

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

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    "search": "women dress",
9    "startUrls": [
10        "https://www.asos.com/search/?q=women%27s+dress",
11        "https://www.asos.com/asos-design/asos-design-barbie-necklace-in-gold-tone/prd/202940265?clr=gold&colourWayId=202940268&cid=27869",
12        "https://www.asos.com/women/a-to-z-of-brands/aldo/cat/?cid=11476&refine=attribute_10992:61388&nlid=ww|shoes|shop+by+brand|aldo",
13    ],
14    "maxItems": 20,
15    "endPage": 1,
16    "extendOutputFunction": "($) => { return {} }",
17    "customMapFunction": "(object) => { return {...object} }",
18    "proxy": { "useApifyProxy": True },
19}
20
21# Run the Actor and wait for it to finish
22run = client.actor("epctex/asos-scraper").call(run_input=run_input)
23
24# Fetch and print Actor results from the run's dataset (if there are any)
25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
26for item in client.dataset(run["defaultDatasetId"]).iterate_items():
27    print(item)
28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
  • 7 monthly users
  • 1 star
  • 100.0% runs succeeded
  • 8.7 hours response time
  • Created in Nov 2019
  • Modified about 23 hours ago