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Zalando Scraper

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Zalando Scraper

Zalando Scraper

mscraper/zalando-scraper
Try for free

1 day trial then $15.00/month - No credit card required now

Scrape data from the European fashion retailer Zalando. Search for products based on a keyword or a category and extract descriptions, available sizes, prices, and photos. Export accumulated data into formats such as HTML, JSON, or Excel.

You can access the Zalando Scraper programmatically from your own Python 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 Integrations settings in Apify Console.

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": [{ "url": "https://en.zalando.de/women/apple/" }],
10    "proxy": {
11        "useApifyProxy": True,
12        "apifyProxyCountry": "DE",
13        "apifyProxyGroups": ["RESIDENTIAL"],
14    },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("mscraper/zalando-scraper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23    print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Zalando Scraper API in Python

The Apify API client for Python is the official library that allows you to use Zalando Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 11 monthly users
  • 3 stars
  • 81.7% runs succeeded
  • Created in May 2023
  • Modified about 1 month ago
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