Zalando.de Product Scraper

📌 What can you collect with Zalando.de Product Scraper?

This template collects product title, price, brand, etc from Zalando.de by Listing URLs.

Data is collected from Zalando. Zalando is a shopping or marketplace service where users discover products, compare offers, prices, ratings, and availability.

💰 Pricing

This template currently has no per-line charge.

📦 Output

Zalando.de Product Scraper returns these fields:

• Marke
• Produkt_Titel
• Preis
• Bild_url
• PLUS_Etikett
• Produkt_url

Example Data Preview:

{
  "Marke": "Adidas Terrex",
  "Produkt_Titel": "TERREX SWIFT SOLO 2.0 HIKING - Climbing shoes - core black/grey three/grey six",
  "Preis": "107,95 €",
  "Bild_url": "https://img01.ztat.net/article/spp-media-p1/0aa5a3d5a75c40ef804f19343e3b861c/34c789bc4c984cfd85a902650eeeaf3d.jpg?imwidth=300&filter=packshot",
  "PLUS_Etikett": "Premium Delivery",
  "Produkt_url": "https://en.zalando.de/adidas-terrex-terrex-swift-solo-2-unisex-hiking-shoes-core-blackgrey-threegrey-six-add44a000-q11.html"
}

🎯 Use Cases

• Compare products, prices, ratings, availability, and offers across collected pages.
• Monitor assortment and pricing changes over repeated runs.
• Build product URL or identifier lists for catalog and competitive research.
• Export structured product rows for reporting, enrichment, or downstream analysis.

🐙 Why Octoparse

• Ready-to-use Zalando workflow: Enter Listing URLs (up to 100), Number of pages (up to 1,000), run Zalando.de Product Scraper, and review the structured rows returned for each source record.
• Useful results: The returned Marke, Produkt Titel, Preis, Bild url, PLUS Etikett, and Produkt url fields support comparison, monitoring, and reusable data workflows.
• Local runs: Run this template locally with the Octoparse desktop app.
• Export and reuse: Export the rows to CSV, Excel, JSON, databases, or cloud storage, or send them to reporting and AI workflows through Octoparse APIs.

You can schedule recurring runs, export the collected data, and reuse it through Octoparse OpenAPI or the AgentTools API. Scheduling and API access may require a paid Octoparse plan.

📝 Input

• Listing URLs (up to 100) (required): Enter one or more values, one per line.
• Number of pages (up to 1,000) (optional): Enter a number from 1 to 1000.

🚀 How to Use

1. Open the template and select Try it or Start.
2. Complete the input fields listed above.
3. Run the task locally.
4. Review the output rows and export or process the structured data.

⚠️ Limitations

• Zalando.de Product Scraper runs locally, so keep your computer and Octoparse open while the task is running.
• Fields such as Bild url, PLUS Etikett, and Produkt url can be empty when the source record does not provide them.

💡 Tips

• Start with one or a few inputs and review the returned rows before scaling the task.
• Use the most specific valid Listing URLs (up to 100) to reduce unrelated or duplicate records.
• Use a stable URL or identifier from Marke, Produkt Titel, Preis, Bild url, PLUS Etikett, and Produkt url as the deduplication key when available.

❓ FAQ

Does Zalando.de Product Scraper collect complete detail-page data?

No. It collects the listing or search-result fields shown in Output; use a detail-page template when deeper record data is required.

Can I schedule and export data collected by Zalando.de Product Scraper?

Yes. You can schedule Zalando.de Product Scraper as a local run and export the collected data from Octoparse. Keep your computer and Octoparse open during scheduled local runs. Scheduling may require a paid Octoparse plan.

How much does Zalando.de Product Scraper cost?

This template is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.

🔗 Related Templates

• Amazon Product Listing Scraper (for France) - Use Amazon Product Listing Scraper (for France) for a comparable ecommerce collection scenario on another source.
• Yahoo Auctions Product Scraper - Use Yahoo Auctions Product Scraper for a comparable ecommerce collection scenario on another source.