Vinted Cross-Country Price Comparison - Find Arbitrage Deals

Vinted cross-country price comparison for resellers and market researchers. Search the same term across selected Vinted countries and get comparable listing prices in EUR, one free statistical summary per country, and the cheapest-vs-dearest median gap for each search term.

Pay-per-result: $0.002 per delivered listing row. Summary rows are free.

What you get

• listing rows with the same public listing fields as Vinted Scraper, plus country and fixed-rate priceEur.
• One free summary row per search term per country: count, min, p25, median and p75 in local currency and EUR, plus the cheapest listing URL.
• An Arbitrage by search term dataset view showing the country with the cheapest EUR median, the country with the dearest EUR median and the percentage gap.
• Coverage of the same 27 public Vinted country domains as the Vinted Scraper, without login, member/profile pages, private API endpoints, proxies or User-Agent rotation.

Quick start

1. Enter 1-20 search terms such as nike jacket or ralph lauren polo.
2. Pick the Vinted countries to compare. The default is UK, France, Germany, Spain, Italy, Netherlands and Poland.
3. Set maxItems as your paid-listing cost cap and click Start. Use the Listings, Country summaries and Arbitrage dataset views to inspect the results.

Input example

{
  "searchTerms": ["nike jacket"],
  "countries": ["uk", "fr", "de", "es", "it", "nl", "pl"],
  "priceFrom": 10,
  "priceTo": 80,
  "maxPagesPerCountry": 1,
  "maxItems": 300,
  "currency": "EUR"
}

priceFrom and priceTo are interpreted in the selected currency (EUR by default). Before requesting each public /catalog page, the Actor converts them through the fixed FX table to that storefront's local currency. Output comparison fields remain in EUR.

Output example

A paid listing row:

{
  "recordType": "listing",
  "itemId": "10130168789",
  "url": "https://www.vinted.co.uk/items/10130168789-denim-jacket",
  "title": "Denim jacket",
  "brand": "F&F",
  "size": "12-18 months / 80 cm",
  "condition": "Very good",
  "price": 2,
  "currency": "GBP",
  "priceEur": 2.35,
  "totalPriceWithFees": 2.46,
  "favouritesCount": 20,
  "imageUrl": "https://images1.vinted.net/t/02_02342_cydg21eTMjvKza26quCJQrxD/310x430/135402a3.webp?s=8800adb881f545deaac5906a7976555a108b2856",
  "country": "uk",
  "searchTerm": "jacket",
  "page": 1,
  "position": 1,
  "scrapedAt": "2026-10-02T00:00:00.000Z"
}

A free summary row:

{
  "recordType": "summary",
  "searchTerm": "jacket",
  "country": "uk",
  "currency": "GBP",
  "count": 96,
  "minPrice": 2,
  "p25Price": 3.88,
  "medianPrice": 5,
  "p75Price": 20,
  "minPriceEur": 2.35,
  "p25PriceEur": 4.56,
  "medianPriceEur": 5.88,
  "p75PriceEur": 23.52,
  "cheapestListingUrl": "https://www.vinted.co.uk/items/10130168789-denim-jacket",
  "status": "truncated"
}

The summary numbers above are computed from the repository's real catalog-jacket.raw.txt UK fixture with the fixed 2026-10-02 GBP/EUR rate. Quartiles use linear interpolation ((n - 1) × q).

Real-fixture summary and arbitrage regression example

The parser tests reuse both committed real captures from the live base Actor: catalog-jacket.raw.txt from vinted.co.uk and catalog-nike-fr.raw.txt from vinted.fr. Using the fixed 2026-10-02 FX table and the same linear-interpolation quartiles, those captures produce:

[
  {
    "recordType": "summary",
    "country": "uk",
    "currency": "GBP",
    "count": 96,
    "minPrice": 2,
    "p25Price": 3.88,
    "medianPrice": 5,
    "p75Price": 20,
    "minPriceEur": 2.35,
    "p25PriceEur": 4.56,
    "medianPriceEur": 5.88,
    "p75PriceEur": 23.52,
    "cheapestListingUrl": "https://www.vinted.co.uk/items/10130168789-denim-jacket"
  },
  {
    "recordType": "summary",
    "country": "fr",
    "currency": "EUR",
    "count": 96,
    "minPrice": 1,
    "p25Price": 3.5,
    "medianPrice": 6,
    "p75Price": 18.5,
    "minPriceEur": 1,
    "p25PriceEur": 3.5,
    "medianPriceEur": 6,
    "p75PriceEur": 18.5,
    "cheapestListingUrl": "https://www.vinted.fr/items/10156165899-pacco-prenotato"
  }
]

If those two fixture summaries are passed through the arbitrage calculation as one comparison bucket, the arithmetic is:

{
  "arbitrageCheapestCountry": "uk",
  "arbitrageCheapestMedianEur": 5.88,
  "arbitrageDearestCountry": "fr",
  "arbitrageDearestMedianEur": 6,
  "arbitrageGapPercent": 2.04
}

That arbitrage object is a regression/math illustration, not a market conclusion: the UK fixture was captured for jacket and the France fixture for nike. A real Actor run computes arbitrage only across countries for the same searchTerm.

Use cases

• Resellers buying in one country and selling in another: compare current listing-price distributions before deciding where to source. A median gap is a research signal, not guaranteed profit; shipping, fees, taxes and cross-border availability are not included.
• Price research: compare the same product or search phrase across country storefronts using normalized EUR prices instead of manually converting currencies.
• Brand pricing by market: run brand/item searches such as nike dunk or patagonia fleece to see how listing medians and quartiles differ by market.

Pricing and cost control

Only delivered listing rows are charged, at $0.002 per listing. summary rows and the derived arbitrage columns are free.

Paid listing rows	Cost
50	$0.10
300	$0.60
1,000	$2.00
5,000	$10.00

maxItems is a hard run-wide cap across all search terms and countries. If it is 300, this Actor cannot deliver more than 300 paid listing rows even if more countries still have results.

Fixed FX rates

For reproducible comparisons, src/fx.js commits the European Central Bank reference rates dated 2026-10-02. The table stores local-currency units per EUR and covers every currency used by the 27 supported Vinted storefronts.

These rates are approximate and intentionally not live. They are approximate reference rates, not card, bank, marketplace or transaction rates. A later Actor run keeps using the committed snapshot until a code update deliberately changes it, so two runs do not move just because an FX feed changed.

How it reads Vinted

This Actor uses the same conservative public-page approach as Vinted Scraper:

1. Check each target domain's robots.txt for /catalog; if disallowed or permission cannot be confirmed, skip that country/search and record the status.
2. Fetch only public server-rendered /catalog?search_text=... pages, with about one request every 3 seconds.
3. Parse the same listing-card fields as the existing Vinted Scraper, then convert each asking price with the fixed FX table.
4. If Vinted returns a block/challenge page, 403 or persistent 429, report it honestly and stop that target rather than attempting to evade it.

Limitations

• This compares asking prices in public search results, not completed-sale prices or guaranteed resale margins.
• Shipping, buyer/seller fees beyond the card's displayed totalPriceWithFees, taxes, customs, currency-conversion fees and cross-border buying eligibility are not part of the arbitrage gap.
• Search inventories can differ materially by country, so compare specific terms/brands and inspect the underlying listings before drawing conclusions.
• FX is a fixed 2026-10-02 snapshot and is approximate. currency can be EUR, USD, GBP, PLN, AUD, CZK, DKK, HUF, RON or SEK; output comparison fields remain in EUR.
• maxItems is global. When it is reached, later country/search targets still get a free zero-count summary with status: "skipped-max-items", but are not fetched.
• Vinted can serve a block/challenge page. This Actor does not use proxies, login, cookies, member/profile pages, private JSON APIs or User-Agent rotation to get around access controls.
• This is an independent tool, not affiliated with or endorsed by Vinted. Use the data in accordance with Vinted's terms and applicable law.

Use it from your code, Make, Zapier or n8n

Built for automated pipelines: small runs, stable field names, one row per item, and you pay only for rows actually delivered.

One API call that runs the Actor and returns the data (replace $APIFY_TOKEN with your token from Apify Console → Settings → Integrations):

curl -s -X POST "https://api.apify.com/v2/acts/lukehunter~vinted-cross-country-prices/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{"searchTerms": ["nike jacket"], "maxPagesPerCountry": 1, "maxItems": 20, "currency": "EUR"}'

JavaScript (npm i apify-client):

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('lukehunter~vinted-cross-country-prices').call({
  "searchTerms": [
    "nike jacket"
  ],
  "maxPagesPerCountry": 1,
  "maxItems": 20,
  "currency": "EUR"
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python (pip install apify-client):

import os
from apify_client import ApifyClient
client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('lukehunter~vinted-cross-country-prices').call(run_input={"searchTerms": ["nike jacket"], "maxPagesPerCountry": 1, "maxItems": 20, "currency": "EUR"})
items = client.dataset(run['defaultDatasetId']).list_items().items

Schedules, webhooks and no-code tools: save your input as a Task, add a Schedule (e.g. hourly or daily), and attach a webhook or one of the Integrations tab's connectors (Make, Zapier, n8n, Google Sheets, Slack) to push each run's results into your own system.

Reliability: an automated test runs this Actor's parser against the live site every day, and failures are fixed fast.

Feedback: an honest rating on the Store page, good or bad, helps others decide if this Actor fits their needs. Missing a field or found a problem? Open an issue on the Actor page.

FAQ

How is the arbitrage percentage calculated?

For each search term with at least two countries that produced a numeric median, the Actor finds the lowest and highest medianPriceEur and calculates (dearest - cheapest) / cheapest × 100. The arbitrage columns are populated on one summary row per term so the dataset keeps exactly two record types: listing and summary.

Are summary rows charged?

No. Only rows with recordType: "listing" pass through the listing charge event. Summary rows are pushed separately and are free.

Does this scrape seller information?

No. It reads only the same public listing-card fields as the Vinted Scraper and never requests member/profile pages.

Need one country's listings or alerts instead?

• Vinted Scraper & New Listing Alerts: use this when you want one country's raw Vinted listings, custom catalog URLs or scheduled new-listing alerts instead of cross-country price comparison.

Related Actors

Other data tools from the same developer, built to the same standard: official or public sources, hard cost caps, and honest documentation of limits.

• Vinted Scraper: Vinted search results with prices, brands and sizes in any Vinted country, plus scheduled new-listing alerts sent to Discord or Telegram.
• Vinted Item Scraper by URL: price-drop and sold alerts for specific Vinted item URLs: price, brand, size, condition and availability, with a changes-only mode.
• Shopify Product Scraper by URL: price, compare-at price and stock for specific Shopify product URLs, with a change-only feed.
• Walmart Category Scraper: product names, prices, was-prices and ratings from Walmart category pages.
• Shopify Store Products Scraper: full product catalogues from any Shopify store, with prices, sale prices, variants and stock.
• AliExpress Search Scraper: AliExpress search results with prices, discounts, ratings and sold counts, by keyword.
• Temu Scraper: Temu search results with prices, product links and images for any keyword, with a new-products-only mode for scheduled runs.
• YouTube Channel Scraper: new-video alerts and channel monitoring for any list of YouTube channels: subscribers, latest videos and a new-uploads-only mode for scheduled runs.