Zalando Scraper
by saswave
Extract product names, brands, prices, images, and ratings from Zalando. Perfect for market research, price tracking, and competitor analysis.
Opens on Apify.com
About Zalando Scraper
Need to pull product data from Zalando for your project? This scraper is what I use when I need clean, structured information from their catalog. It grabs the essentials—product name, brand, description, current price, all available images, and customer ratings—and packages it into a format you can actually work with, like JSON or CSV. I've set it up to handle Zalando's site structure, so you don't have to fuss with pagination or dynamic loading issues yourself. It's perfect for a few key jobs: building price comparison feeds, tracking competitor assortments, or aggregating products for market research. The real benefit is saving the hours you'd spend writing and maintaining your own scripts. You just configure the search terms or category URLs you're interested in, run it, and get your dataset. It runs reliably on Apify's platform, so scaling up for larger batches is straightforward. If you're working in e-commerce, marketing, or data analysis and need consistent Zalando data, this actor gets the job done without the headache.
What does this actor do?
Zalando Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Zalando Scraper
Overview
This Apify actor scrapes detailed product data from Zalando. It extracts structured information for market research, price tracking, and e-commerce analytics. The output is clean JSON containing product metadata, pricing, images, and reviews.
Key Features
- Product Metadata: Name, brand, manufacturer, SKU, description, color, size variants, and condition.
- Pricing & Availability: Current price in local currency (e.g., EUR), stock status, and multiple offers per product (e.g., for different sizes).
- Media: URLs for product images, with an option to download them.
- Ratings & Reviews: Average rating, rating scale (min/max), and review count.
How to Use
Run the actor on the Apify platform. Provide one or more Zalando product page URLs as input. The actor will navigate to each page, extract the data, and return it in a structured dataset.
Input/Output
Input: A list of Zalando product URLs (e.g., https://www.zalando.fr/only-veste-sans-manches-pumice-stone-on321u1dq-t11.html).
Output: A JSON object per product. Example structure:
{
"url": "https://www.zalando.fr/only-veste-sans-manches-pumice-stone-on321u1dq-t11.html",
"name": "SANDRA LIFE OTW NOOS - Veste sans manches - pumice stone",
"brand": "ONLY",
"sku": "ON321U1DQ-T11",
"description": "ONLY SANDRA LIFE OTW NOOS - Veste sans manches...",
"price": "39,99",
"image": ["https://img01.ztat.net/article/spp-media-p1/...jpg", ...],
"offers": [
{
"availability": "http://schema.org/InStock",
"price": "39.99",
"priceCurrency": "EUR",
"sku": "ON321U1DQ-T1100XS000"
}
],
"ratingValue": 5,
"bestRating": 5,
"ratingCount": 1
}
Support
For issues or to help improve the actor, share your runs with the developer team and report errors. This helps catch untested edge cases.
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Zalando Scraper now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- saswave
- Pricing
- Paid
- Total Runs
- 773
- Active Users
- 12
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