We extract item listings, pricing signals, seller intelligence, and brand catalogues from Vinted. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Item Listings objects from vinted.com. All fields typed and schema-versioned.
"item_id": "384910294", "title": "Vintage Levi's 501 Jeans", "brand_title": "Levi's", "size_title": "W32 / L32", "condition": "Very good", "price_numeric": 35.0, "currency": "EUR", "favourite_count": 24, "uploaded_at": "2026-05-11T14:22:00Z"
| # | item_id | title | description | brand_id | brand_title | size_title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Seller Profiles objects from vinted.com. All fields typed and schema-versioned.
"seller_id": "9481726", "username": "vintage_paris_99", "rating": 4.9, "review_count": 312, "items_sold": 458, "location_city": "Paris", "location_country": "France", "verification_status": "['email', 'facebook']", "wardrobe_item_count": 84
| # | seller_id | username | profile_url | rating | review_count | items_sold |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from vinted.com. All fields typed and schema-versioned.
"keyword": "trench coat", "position": 1, "item_id": "491827364", "title": "Burberry Classic Trench", "price": 180.0, "currency": "GBP", "brand_title": "Burberry", "is_bumped": true, "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | category_id | position | item_id | title | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Vinted scraper navigates heavy bot protection, geo-fencing, and dynamic single-page applications to deliver structured wardrobe and pricing data.
Scrape entire seller wardrobes, capturing item titles, descriptions, conditions, sizes, colours, and high-resolution photo URLs.
Extract base price, buyer protection fees, and estimated shipping costs to calculate the true transaction value.
Normalise condition tiers (New with tags, Very good, Good) and map items to Vinted's internal brand directory.
Track seller ratings, review counts, sold item volume, and verification status to identify power sellers or suspicious accounts.
Vinted heavily geo-blocks traffic. We use localized residential proxy pools for vinted.co.uk, vinted.fr, vinted.de, and vinted.com.
Capture favourite counts, view counts, and upload timestamps to gauge demand velocity for specific brands and styles.
Brief in. Clean data out.
Provide Vinted search URLs, brand IDs, or seller profiles. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for vinted.com.
Schema validation, null-rate checks, price-outlier detection, and sample profiles before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Vinted employs aggressive WAFs and bot detection to protect their marketplace. Here is how we bypass blocks and maintain data flow.
Vinted uses strict anti-bot solutions that block data centre IPs instantly. We route all requests through high-reputation residential ISP proxies, spoofing TLS fingerprints and injecting realistic browser headers.
Vinted segments its platform by region and strictly blocks cross-border traffic. Our infrastructure assigns localized IP pools (e.g., French IPs for vinted.fr, UK IPs for vinted.co.uk) to ensure access to regional catalogues.
Vinted is a deeply nested React application. We deploy Playwright to handle dynamic rendering, trigger infinite scrolls on wardrobe pages, and execute API calls that headless HTTP clients cannot reach.
For tracking price drops or sold status, we maintain a hash index of last-seen values per item ID. Subsequent runs only push diffs — reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on 403 blocks, CAPTCHA loops, schema drift, and coverage drops — and respond before you notice.
Sustainability platforms and researchers track second-hand lifecycle metrics, brand retention values, and clothing longevity.
Luxury and fast-fashion brands audit the platform for counterfeit listings, grey market sales, and unauthorised professional resellers.
Professional vintage sellers monitor specific brands, sizes, and conditions to identify underpriced items for cross-platform flipping.
Retailers analyse secondary market pricing to inform primary market discounts and understand brand depreciation rates.
Computer vision teams use Vinted's vast repository of user-generated clothing images and categorical tags to train fashion recognition models.
Fashion analysts correlate favourite counts and search velocity with specific styles to predict upcoming macroeconomic fashion trends.
"Vinted represents the largest unstructured dataset of circular fashion pricing and second-hand consumer behaviour in Europe — requiring specialist infrastructure to extract reliably."
Scraping Vinted at scale requires bypassing aggressive Datadome protections, managing strict regional geo-blocking, and navigating deeply nested React single-page applications. DataFlirt handles the proxy rotation and session management so your engineering team receives clean, normalised JSON rather than HTTP 403 errors.
Everything supported by our vinted.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering, React hydration, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies segmented by European and US markets. Rotation happens per-request to bypass Datadome and Cloudflare blocks.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About vinted.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Vinted is generally permissible. DataFlirt targets only public, non-authenticated listings, seller profiles, and brand data. We do not extract personal data behind login walls, direct messages, or payment details. Clients should review Vinted's ToS and consult legal counsel for specific use cases.
Vinted relies heavily on Datadome and Cloudflare. We bypass these using localized residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and request timing modelled on human behaviour.
Yes. We support vinted.co.uk, vinted.fr, vinted.de, vinted.com, and other regional variants by routing traffic through country-specific residential proxy pools to bypass geo-blocks.
Yes. We can monitor a predefined list of item IDs or search queries at high frequency, emitting webhook alerts or diff files when the price drops or the item is marked as sold.
We extract the direct CDN URLs for all images associated with a listing. If required, we can also download the image payloads directly to your S3 bucket.
Our smallest packages start at a defined list of search URLs or seller profiles with weekly delivery. For continuous monitoring or full-category extraction, we price based on compute volume and proxy bandwidth. Contact us for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off wardrobe export or a continuous price-monitoring feed across millions of listings — we scope, build, and operate the pipeline. Tell us what you need.
