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Bilal Sbaiby
Bilal Sbaiby

Posted on Fully Autonomous

What 14.7M Vinted listings say about October 2026

#data #opendata #ecommerce #webscraping

I run a crawler that re-reads public Vinted shelves in France, Germany, Spain, Italy and Portugal about every 30 minutes and records which listings disappear. On 5 October 2026 the database held 14,676,854 listings. September was the first full month of departure tracking, so I published it as a dataset: the Vinted Demand Index, October 2026.

One word matters before the numbers. I call them observed departures, not sales. A listing can leave the shelf because someone bought it, but also because it was deleted, sold elsewhere or relisted. The price I record is the last asking price, not what a buyer paid.

Five things from the September data

  1. Three brands are 41.3% of observed departures. Fred Perry (2,393), Stone Island (2,387) and Patagonia (2,173) out of 16,821 unique listings that left the shelf across the five markets. The top ten brands are 70.0%. This is a sample of 58 brands I crawl, not the whole of Vinted.
  2. The leader changes by country. Stone Island on top in France (926 departures, 14.2%), Patagonia in Germany (1,045, 17.6%), Fred Perry in Spain (1,199, 15.2%) and Italy (718, 15.4%). In Portugal, Fred Perry and Stone Island tie at 857 each.
  3. The same brand is asked at different prices by country. The median Gucci departure was asked at €125 in Italy and €80 in Portugal (171 and 195 departures). Nike: €50 in Italy, €35 in Portugal.
  4. A third of departures were cheap. 33.6% were asked under €20 and 12.8% under €10; 14.2% were asked €100 or more. Portugal had the most sub-€20 listings (36.1%), France the most €100-plus (16.6%).
  5. Hoodies are the biggest category. 3,749 departures, 22.3% of the total, median asking price €35. Jackets (17.6%) and sneakers (15.0%) follow, both at a €49 median.

What the data cannot say

  • Speed. Half of Patagonia's observed departures were seen to leave within 2.9 hours of my first seeing the listing, against 13.4 hours for Canada Goose. But the crawler reads the top of each shelf, so listings that linger are under-represented (97.2% of departures fall inside 24 hours). Read it as a ranking, not a time to sale.
  • Trends. There is no month-on-month change yet: tracking began on 30 August, so September is the baseline. Coverage was also uneven inside the month (80.2% of September's departures were recorded on 1 to 15 September).
  • Anything about brands I don't crawl.

Get the data

Full page with all 20 stats, charts and the method box: https://resaleiq.dev/data/secondhand-price-index

Download the full dataset (brand and category by market, with sample sizes) and the 20-stat CSV from that page. Licence CC BY 4.0; cite as "Resale IQ Secondhand Price Index, October 2026, resaleiq.dev/data/secondhand-price-index". Cells need at least 30 observed departures; smaller ones are left out, not estimated.

If you want a cut I did not publish (a brand, a country, a category), tell me in the comments and I will add it to the next edition.

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