Zalando Product Search Scraper

Overview

This actor scrapes product listings from Zalando's European e-commerce sites. It extracts detailed product data from any supported country domain (like .de, .nl, .co.uk, .fr) for analysis, competitive research, or market monitoring.

Key Features

• Multi-country support: Works with all Zalando country-specific domains.
• Comprehensive data extraction: Captures over 30 product attributes including pricing, images, brand, and specifications.
• Reliable operation: Includes proxy support (with residential proxy options), configurable retries, and rate limiting to avoid blocks.
• Flexible input: Can scrape from direct list page URLs or be configured with search filters.
• Scalable: Handles large jobs with options to ignore failed URLs and limit items per page.

How to Use

Configure the actor using a JSON input. You primarily provide it with URLs of Zalando product listing pages.

Example Input URLs:
* https://www.zalando.nl/dameskleding-jurken/
* https://en.zalando.de/womens-shoes-trainers/
* https://www.zalando.co.uk/caps-women/

Input / Output

Input Format

The scraper is configured via a JSON object. The core method is to provide a list of urls.

{
  "max_retries_per_url": 2,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  },
  "max_items_per_url": 20,
  "urls": [
    "https://www.zalando.nl/dameskleding-jurken/",
    "https://en.zalando.de/womens-shoes-trainers/"
  ],
  "ignore_url_failures": true
}

Key Parameters:
* urls: (Required) An array of product listing page URLs to scrape.
* max_items_per_url: Limit the number of products scraped from each page.
* proxy: Use useApifyProxy: true with groups like RESIDENTIAL to avoid detection.
* ignore_url_failures: If true, the run continues even if some URLs fail after retries.

Note: When urls are provided, alternative "Scrape with search filters" options are disabled.

Output Format

The actor outputs a dataset where each item represents a scraped product. Each item contains detailed fields such as:
* url, name, brand
* price, originalPrice
* images (array of URLs)
* colors, sizes
* category, description
* Various metadata like gender, productCode, and scrapingTimestamp

Contact: For issues or questions, contact the developer via My profile.