eBay Data: 1.9M Auto Parts Listings from eBay.de, Specs Translated
About 1.9 million auto parts listings from eBay.de with brand, OEM, EAN and fitment, plus titles and specs machine-translated for the client's team.
Learn MoreZalando 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
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.
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:
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.
A single article says little about a fashion range. The value sits in the catalogue as a whole and in how it moves.
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 QuoteDevelopers
Customers worldwide
Pages extracted
Hours saved for our clients
€199 / one-time
setup fee - included
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setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
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setup fee €799
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Brands, retailers and analysts use Zalando for decisions that hinge on its size grids and its country shops.
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.
About 1.9 million auto parts listings from eBay.de with brand, OEM, EAN and fitment, plus titles and specs machine-translated for the client's team.
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If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
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.
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.
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.
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.
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.
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.
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.
Zalando data from €169/month. Free project assessment, reply within 1 business day.
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