Vinted Arbitrage Scanner

One query, priced across up to 23 Vinted country sites: median, quartiles, spread percent and an opportunity score per country - where an item is cheap and...

One query, priced across up to 23 Vinted country sites: median, quartiles, spread percent and an opportunity score per country - where an item is cheap and where it sells high. Aggregates only, zero seller data by construction. About $0.02 per full comparison.

$3.00 / 1,000 · 100.0% success over 29 public runs in the last 30 days.

Run it on Apify → Free to try - runs bill per result on your own account.

What you give it

Every field is optional unless marked; sensible defaults do the rest.

Field	Type	What it does	Default
`searchQuery`	string	What to price-compare across country sites, exactly as you would type it in Vinted's search box, e.g. "nike air max 90" or "barbour jacket".	`nike air max 90`
`countries`	array	Vinted country sites to compare (2-23). Default: eight euro markets, so every spread is same-currency. Non-euro sites (co.uk, pl, cz, se, dk, hu, ro, com) are compared within their own currency only - amounts are never converted.	`["fr", "de", "es", "it", "nl", "be", "pt", "at"]`
`maxItemsPerCountry`	integer	Priced listings sampled per site (20-500). One catalog page is ~96; bigger samples cost more requests and steadier medians.	`96`
`priceMin`	integer	Ignore listings below this price (site currency) - cuts junk from the sample.	`-`
`priceMax`	integer	Ignore listings above this price (site currency).	`-`
`maxItems`	integer	Upper bound on output rows (one per country).	`25`
`reportFailures`	boolean	When a run fails, send the developer the actor name and build, an error category, the error message (truncated) and a one-way hash of your input - so a bug can be fixed without anyone asking you to reproduce it. Your input itself, your results and your identity are never sent, and successful runs send nothing at all. Switch this off and the actor behaves exactly the same.	`True`

What you get back

One JSON object per result, with exactly these fields - no seller identities, no contact data, ever.

A real result row from a recent run:

{
  "cheapestInCurrencyGroup": true,
  "currency": "EUR",
  "domain": "fr",
  "matchedListings": 960,
  "maxCents": 6500,
  "medianCents": 1499,
  "medianTotalCents": 1644,
  "minCents": 200,
  "opportunityScore": 0,
  "p25Cents": 700,
  "p75Cents": 2300,
  "sampleSize": 40,
  "searchQuery": "nike",
  "site": "vinted.fr",
  "spreadPct": 0
}

Field	Type	Meaning
`searchQuery`	string	The query the row was sampled for.
`domain`	string	Country site suffix, e.g. fr, de, co.uk.
`site`	string	Full site name.
`currency`	['string', 'null']	Currency of every amount in this row.
`matchedListings`	['integer', 'null']	How many listings matched the query on this site.
`sampleSize`	integer	Priced listings sampled for the statistics.
`medianCents`	integer	Median asking price in minor units.
`p25Cents`	integer	25th-percentile asking price.
`p75Cents`	integer	75th-percentile asking price.
`minCents`	integer	Cheapest sampled asking price.
`maxCents`	integer	Highest sampled asking price.
`medianTotalCents`	['integer', 'null']	Median total buyer price including buyer protection, when reported.
`spreadPct`	integer	How far this country's median sits above the cheapest median in the same currency, in percent. 0 = this is the cheapest market.
`cheapestInCurrencyGroup`	boolean	True for the cheapest market of its currency group - the buy side of the arbitrage.
`opportunityScore`	integer	spreadPct clamped to 0-100: how attractive selling into this market is versus buying in the group's cheapest.

Health

100.0% success over 29 public runs in the last 30 days. Live record, failures included: status page.

Full documentation, examples and the AI-assistant prompt live on the store page.