Zalando Scraper
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See alternative ActorsZalando Scraper
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The Zalando Scraper efficiently extracts product details from Zalando. You'll get key information like product names, prices (original and discounted), and currency symbols, all neatly organized. Perfect for tracking prices, trends, or analyzing Zalando’s catalog. Fast, reliable, and easy to use!
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": ["https://www.zalando.co.uk/womens-clothing"],
10 "maxItems": 5,
11 "maxRequestRetries": 2,
12 "maxConcurrency": 4,
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("ilong_mamman/zalando-scraper").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21 print(item)
22
23# 📚 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:
- 5 monthly users
- 3 stars
- 100.0% runs succeeded
- Created in Sep 2024
- Modified 8 days ago