Zalando Scraper

Zalando is the largest fashion platform in Europe, where millions of shoppers browse clothing, footwear, and accessories from top brands — from mass-market to premium. With our Zalando scraper, you can tap into this live data stream. We collect the data quickly, cleanly, and in the format that fits your workflow — so you can validate ideas, track competitors, and respond to the market with clarity.

Zalando Scraper
Solutions

Zalando Data Scraper

Our scraper helps you collect product information from Zalando and understand why some items sell better than others. You see the logic behind the storefront, the structure of categories, the way content is presented, and how the platform promotes certain products — all made accessible through precise parsing.

This service is for those who want to scrape Zalando to better position their assortment, launch relevant products, monitor competitors, or test how visual and textual elements influence customer behavior. Everything is already collected and ready to use — in CSV, Excel, or JSON format.

What You Can Collect with a Zalando Scraper

On Zalando, product data is often hidden behind dynamic content, pop-up blocks, and layered filters. Our Zalando data scraper bypasses these limitations and captures everything that matters from each product page:

  • Product title and brand.
  • Price, discount, size availability (including labels like “low stock,” “online only”).
  • Descriptions: marketing text, composition, care instructions.
  • Filters — color, material, fit, season, country of origin.
  • Reviews and ratings, including trends and key topics.
  • Sustainability labels — “Sustainability” and info on eco-friendly materials.
  • Zalando recommendations — “Frequently bought together,” “Similar items,” “You may also like”.
  • Delivery and return terms, subscription options (Zalando Plus).
  • Image and video sources.

What You Can Collect with a Zalando Scraper
What Our Zalando Extractor Can Also Collect

What Our Zalando Extractor Can Also Collect

What else you can use:

  • Personalized recommendations — track which products the system shows to different users in various scenarios.
  • Country-specific catalogs — each country has its own structure, filters, and available brands.
  • Local stock availability — some countries show stock by warehouse.
  • Price history — with regular scraping, you can build graphs of price and availability changes.
  • Test campaigns and exclusives — Zalando often tests limited collections in selected regions. These launches can be tracked.

What to Know About Zalando

Zalando has been operating since 2008 and is now present in more than 25 European countries. Each country has its own subdomain — like zalando.de, zalando.fr, or zalando.it — with localized language, currency, and sometimes even a unique product assortment tailored to regional trends.

The platform adapts to local trends and customer behavior. Zalando actively promotes sustainable fashion, develops its marketplace model, and uses AI for recommendations and personalization. All of this makes the site a valuable source not only of product data but also of market behavior insights across different countries.

Get a Quote
dev_w

25

Developers

customers

90

Customers

pages

60 000 000

Pages extracted

stime

3500

Hours saved for our clients

Plans

Web Scraping Plans & Pricing

Customized plans that grow with your data needs.

Airplane

€199 / one-time

setup fee — included

Data limits100,000
Frequencyone-time
Run timeup to 5 days
Data storing7 days

Helicopter

€169 / mo

setup fee €499

Data limits250,000
Frequencymonthly
Run timeup to 5 days
Data storing14 days

Glasses

€229 / mo

setup fee €499

Data limits1,000,000
Frequencyweekly
Run timeup to 5 days
Data storing30 days

DNA

€549 / mo

setup fee €799

Data limits3,000,000
Frequency3 times daily
Run timesame day
Data storing90 days

Why Use a Zalando Web Scraper?

Zalando reflects the entire fashion ecosystem of Europe. Here you can track:

  • Which products and brands are gaining visibility
  • Which discounts actually work
  • Which filters customers use
  • How product presentation and visuals evolve

Using a Zalando scraper means collecting data to understand customer motivations and real market signals.

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About ScrapeIt

ScrapeIt is a data extraction company specializing in custom solutions for e-commerce sites, marketplaces, and digital platforms worldwide. Our Zalando web scraper is built for flexibility — whether you're tracking a handful of products or managing large-scale analysis across multiple regions.

We work with companies of all sizes, from small teams to global enterprises, and handle the entire process for you. Need a one-time export, regular data collection, or integration into your internal systems? We adapt to your needs. You get clean, ready-to-use data.

FAQ

What other niches do you work in besides e‑commerce?

We parse hotel websites, car listings, real estate portals, financial services, and job boards.

Why is your service better than DIY scraping with off‑the‑shelf tools?

We set everything up for you quickly, monitor site changes, and deliver clean data right away—so you don’t waste time on collection.

Why should you focus specifically on Zalando data?

Because Zalando reflects genuine European fashion trends: you see what millions of shoppers buy across different markets and how their preferences evolve.

How does Zalando data differ by region?

Each country has its own subdomain, currency, brand lineup, and filter set—so prices, availability, and product popularity can vary significantly from one market to another.

Can I collect data from all Zalando countries at once?

Yes. Our scraper crawls each local subdomain and merges the data into a unified dataset, allowing you to compare sales and trends across Europe instantly.

How does it Work?

1. Make a request

You tell us which website(s) to scrape, what data to capture, how often to repeat etc.

2. Analysis

An expert analyzes the specs and proposes a lowest cost solution that fits your budget.

3. Work in progress

We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.

4. You check the sample

If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.

Request a Quote

Tell us more about you and your project information.
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Scrapeit Sp. z o.o.
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