Zalando scraper for prices, sizes and stock across country shops

Zalando can price the sizes of one article differently and flags the last few in stock. Our Zalando scraper keeps that detail: a row per article and size, shop by shop.

Plans from €169/month · Free project assessment · Reply within 1 business day

Zalando Scraper
Solutions

How we scrape Zalando for you

You choose the shops, the categories or brands, and whether you need every size or only the article level. We build the Zalando crawlers, run them on your schedule - daily through a sale, weekly the rest of the year, or once - and fix them when Zalando reworks a page. Rendering, request pacing, proxy rotation and CAPTCHA handling are covered by the service.

A free project assessment comes first, and a sample lets you hold sizes and prices against your own range. The field documentation explains each Zalando price label and how a size with one item left differs from a sold-out size in the data. When a project calls for it, collection can run on an account registered through Zalando's own sign-up form, or on yours.

Zalando data: what each article row holds

A Zalando article page looks short, and most of its detail sits in folded sections - Material & care, Details and Size & fit. We open all of them. Typical fields:

  • Identity - article number, shop, URL, brand, product name, product type such as Low-top trainers or Tapered fit jeans, colour name and the other colours of the style.
  • Price - current price with VAT included, the crossed-out original price, discount percentage, the last lowest price Zalando shows before a reduction, from prices when sizes differ, and the up to discount on catalogue cards.
  • Sizes - every size in the grid, in EU and manufacturer sizing where both exist, marked available, sold out or low in stock when only one to three items remain.
  • Badges - Deal, New, Bestseller, Top rated, Designer, Exclusive, Popular item, Sponsored, Mix and match, and product standard notes such as the share of recycled material.
  • Delivery - the partner-article notice where Zalando shows one, the standard delivery window, free delivery and returns, the return period.
  • Material - outer fabric or upper material, fabric type, sole, insole and care instructions.
  • Details - fastening, pockets, rise, heel type, shoe tip, extras such as belt loops, and description text.
  • Size and fit - fit, shape, length, inner leg length, outer leg length, stretch level, shoe width, model height and the size the model wears, plus fit feedback such as Customers say this item runs large.
  • Ratings and media - average rating, number of ratings and reviews, image links.

Labels arrive in the language of each shop and are mapped to one English schema, so the German Statt price and the crossed-out price on zalando.co.uk land in the same column.

Zalando data: what each article row holds
Zalando price history and catalogue coverage

Zalando price history and catalogue coverage

A single article says little about a fashion range. The value sits in the catalogue as a whole and in how it moves.

  • Full category runs - every article in a category or brand with its position under the sort order you pick, so you see which items Zalando places first and which slots are marked Sponsored.
  • Price history - repeated runs give each article and size a dated price series, showing when a markdown started, how deep it went and whether the last lowest price label matches your own record.
  • Size depletion - which sizes go low or sell out, run by run, is the closest public signal of sell-through for a style.
  • Shop comparison - one article number read on zalando.de, zalando.fr and zalando.co.uk at the same hour shows price and assortment gaps between countries.
  • New arrivals - articles that appear under New for the first time, with the date we first saw them.
  • Pre-owned - the second-hand section as a feed of its own, priced against new stock of the same brands.

How Zalando is built: national shops, articles and sizes

Our Zalando scraper collects article pages and catalogue listings from Zalando's national shops. A run returns one row per article number, size and shop - daily, weekly or once - and the data travels as CSV, XLSX or JSON to Google Cloud Storage, SFTP or Dropbox, or comes from our API and a JSON feed. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.

Zalando is a European fashion platform built as a set of national shops rather than one site. The German shop zalando.de stands beside zalando.at, zalando.ch, zalando.fr, zalando.be, zalando.lu, zalando.pl, zalando.co.uk and zalando.ie, each with its own prices, currency and delivery promises. A shop opens on Women, Men and Kids and branches into new arrivals, clothing, shoes, accessories, sports, streetwear, designer, home and a Sale section; zalando.de adds pre-owned items.

The unit of the catalogue is the article, identified by an article number such as NI112O0H3-A11 that also ends the product URL. Colour variants of a style usually share the first part of that code and differ in the suffix, and every article carries a size grid. Some articles come from Zalando partners and carry a notice saying so, while labels such as Pier One by Zalando are Zalando's own. Catalogue pages report how many items match, often thousands for a single category, and spread them over a long run of numbered pages.

Get a Quote
dev_w
25

Developers

customers
500+

Customers worldwide

pages
1 500 000 000+

Pages extracted

stime
15000+

Hours saved for our clients

Plans

Zalando Scraping Plans and Pricing

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

Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.

Full plan details →

What Zalando scraping is used for

Brands, retailers and analysts use Zalando for decisions that hinge on its size grids and its country shops.

  • Price monitoring - brands that sell through Zalando check their own articles shop by shop and catch discounts that go deeper than agreed.
  • Markdown planning - the depth and timing of competitors' discounts, by category and brand, help set your own reductions.
  • Sell-through estimates - sizes that run low or sell out show which styles move and where a size curve is broken.
  • Assortment gaps - article counts by brand, category, fit or material show where a range is thin next to Zalando's.
  • Content benchmarks - material, fit and model details show how rivals describe comparable products.

Zalando data exported to Excel is enough for a one-off range review; recurring monitoring usually flows into a database or BI tool through our API.

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About ScrapeIt

ScrapeIt is a managed scraping service: we build the crawlers, run them, repair them and deliver the data, so your team works with tables instead of infrastructure. Fashion catalogues bring their own problems, and Zalando has all of them - size grids, prices that differ by country, colour variants that must not be counted twice - which is why rows are keyed on article number and size from the first run. Personal data is handled under GDPR, and the handles of creators shown in outfit carousels stay out of the dataset by default.

FAQ

Do you offer a Zalando API for prices and sizes?

Yes. The ScrapeIt Zalando API returns article number, shop, current price, original price, discount and size availability as JSON from an endpoint hosted by us and refreshed as often as you choose. The same data also arrives as CSV or XLSX files, a JSON feed or a load into your database.

Is it legal to scrape Zalando?

Yes. Catalogue pages, article pages, prices, size availability and ratings are open to anyone who visits a Zalando shop. We collect only publicly available data - the same pages any Zalando visitor sees - and we collect it legally. Reviewers' names are left out by default.

Can you run a Zalando price tracker across several country shops?

Yes. We read the same article numbers in every shop you name, record price, original price, last lowest price and the sizes on offer with a timestamp, and keep each shop's currency next to the price. Daily runs are typical during sales; a weekly run suits range reviews.

Do you record stock for every size?

Yes, as far as Zalando shows it. Each size arrives as available, sold out or low in stock, and where the page says only one, two or three items are left, that count is kept. Zalando shows no exact stock above that level, so neither does the dataset.

Which Zalando country shops can you cover?

Any public Zalando shop, including zalando.de, zalando.at, zalando.ch, zalando.fr, zalando.be, zalando.lu, zalando.pl, zalando.co.uk and zalando.ie. Each shop is read as a local visitor sees it, so prices and currency are the local ones. The article number joins the shops into one table.

How does it Work?

Step 1 - Make a Request

You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.

Step 2 - Configuring Custom Web Crawlers

Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.

Step 3 - Collect and Deliver

Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.

Step 4 - Maintain and Support

Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.

Request a Quote

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Zalando data from €169/month. Free project assessment, reply within 1 business day.

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