# Changelog of Vinted Scraper - Second-Hand Fashion Listings & Prices (`sian.agency/vinted-scraper`) Actor

- **URL**: https://apify.com/sian.agency/vinted-scraper/changelog.md
- **Full Actor documentation**: https://apify.com/sian.agency/vinted-scraper.md

## Changelog

All notable changes to Vinted Scraper will be documented in this file.

### \[2026-08-31]

#### 🎉 Vinted Scraper - Launch!

- **8 Country Sites From One Actor** - Scrape Vinted listings in France, Germany, Spain, Italy, the Netherlands, Poland, the UK and Lithuania, with prices in each market's own currency
- **Keyword Search With Filters** - Find second-hand fashion listings by keyword, price band and newest-first sorting, exported as clean JSON or CSV
- **Paste Any Search URL** - Build a search on the site with brand, size, colour and material filters, paste the URL, and every filter carries over into your dataset
- **Seller Closet Pull** - Extract every live listing from any Vinted member's closet with one run, complete with the seller on each row
- **Listing Detail** - Open specific listings for the seller's full description, the category, the colour and whether the item is still available
- **Search Totals On Every Row** - Total matching listings and page counts stamped by the search itself, so sizing a niche takes a single run
- **31 Structured Fields** - Title, price, currency, brand, size, condition, fees, the total a buyer pays, photo galleries, seller details and favourite counts

#### 💎 User Benefits

- Resale researchers compare the same model across eight markets without a single page of manual copying
- Pay only for rows that come back - failed listings are never charged
- Vintage buyers reuse the marketplace's own filters instead of rebuilding them field by field
- Everything exports straight to JSON, CSV or Excel from the dataset, or through the API into any workflow

#### 🎯 Use Cases

- A reseller comparing Levi's 501 asking prices on Vinted France, Germany and Italy before buying stock
- A sneaker watcher running a newest-first search on a schedule to catch underpriced pairs the hour they list
- A vintage seller studying a power seller's whole closet to see what moves and at what price bands
- A researcher sizing category supply with the marketplace's own matching counts