![Zalando Scraper avatar](https://images.apifyusercontent.com/ejHSo27zECQt59fDezOGXUC4POmrzNUYlINEi9PI-RE/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9oR1NsZWhLa1pHTXdMNXVTVS85a3c4SHJmdGM0R2dod25qbi16YWxhbmRvLWFwcC10b3VjaC1pY29uLTE4MC12MS5wbmc.webp)
Zalando Scraper
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View all Actors![Zalando Scraper](https://images.apifyusercontent.com/ejHSo27zECQt59fDezOGXUC4POmrzNUYlINEi9PI-RE/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9oR1NsZWhLa1pHTXdMNXVTVS85a3c4SHJmdGM0R2dod25qbi16YWxhbmRvLWFwcC10b3VjaC1pY29uLTE4MC12MS5wbmc.webp)
![Zalando Scraper](https://images.apifyusercontent.com/ejHSo27zECQt59fDezOGXUC4POmrzNUYlINEi9PI-RE/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9oR1NsZWhLa1pHTXdMNXVTVS85a3c4SHJmdGM0R2dod25qbi16YWxhbmRvLWFwcC10b3VjaC1pY29uLTE4MC12MS5wbmc.webp)
Zalando Scraper
mscraper/zalando-scraper
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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.
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 "startUrls": [{ "url": "https://en.zalando.de/women/apple/" }],
9 "proxy": {
10 "useApifyProxy": True,
11 "apifyProxyCountry": "DE",
12 "apifyProxyGroups": ["RESIDENTIAL"],
13 },
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("mscraper/zalando-scraper").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
- 8 monthly users
- 1 star
- 98.1% runs succeeded
- Created in May 2023
- Modified 12 months ago
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