Vinted is a peer-to-peer marketplace, so prices, conditions and availability reflect real, current behaviour — not retail RRPs. It shows which brands, sizes and item states actually move on each country site, how sellers use bundle discounts, and what buyers are willing to pay. Our Vinted scraper turns live listings into structured data. Use it to compare markets (e.g., vinted.fr vs vinted.de), track category shifts and source inventory with evidence, not guesswork.
This is a done-for-you service: we use our Vinted data scraper on your behalf. You choose the country sites, categories, and fields; we collect, clean, and deliver the datasets on your schedule — no software to install, no dashboards to learn.
We extract core listing data you actually see on Vinted: title, brand, category, size, condition (e.g., New with tags, Very good), price, photos, item description, seller username, seller rating and feedback count, seller location (city/country), shipping options shown for that country, and “favourites” count on the item.
With our Vinted web scraper, we also collect data beyond product pages. We record seller profile details (rating, reviews count, member since, items listed). We track bundle discount settings and item status changes (reserved or sold). We include “More from this seller”, similar items, and promotion markers like bumps and Wardrobe Spotlight.
Vinted is a peer-to-peer marketplace for second-hand fashion, founded in 2008 in Vilnius and grown across Europe. It operates through localized country sites (e.g., vinted.fr, vinted.de, vinted.pl, vinted.co.uk, vinted.es, vinted.it, vinted.nl, vinted.ie), with language and currency matching each market. Core categories are clothing, shoes and accessories, plus kids’ items; in some locales there are additional sections for home and entertainment. Payments run through the platform with Buyer Protection added at checkout, and shipping is integrated with local carriers and pickup networks.
Vinted is mobile-first, with full iOS and Android apps tightly synced with the web experience. Localisation spans language, currency, taxes, and shipping partners on each country site, enabling cross-border sales within the EU where supported. The model relies on Buyer Protection fees and optional promotion tools, while listing items is typically free for private sellers. As one of Europe’s largest recommerce platforms, Vinted delivers high-volume, real-time market signals on brand momentum, size availability, and seasonal demand.
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Developers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Vinted — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
When you scrape Vinted, you turn live C2C listings into actionable market signals across countries:
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ScrapeIt is a data services company that collects and delivers ready-to-use datasets from e-commerce, real estate, job boards, and other sites. With our Vinted scraper, we run the extraction for you and deliver structured product information and seller signals on the cadence you choose — no software to install. You pick countries, categories, and fields; we handle monitoring, parsing, and quality checks. Clean, consistent data delivered to your preferred destination.
We can export scheduled deliveries as CSV, Excel, or JSON, using a stable schema and field descriptions.
No. It’s a managed service: we operate the extractor and deliver the files to you — nothing to install.
Our parsing handles changing page layouts, normalises fields (sizes, conditions, currencies), and tracks site updates.
We provide product data visible on Vinted listings and profiles — covering core product attributes plus seller signals and shipping options.
Yes. We map fields for analysts, pricing, or catalog teams, and can split CSV/Excel/JSON exports by country, brand, or category.
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.
Scrapeit Sp. z o.o.
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