Vinted Demand & Sell-Through Scraper

Analyse demand and sell-through on Vinted at scale: per-query market reports with sold-versus-active ratios, price distributions and demand signals, ready for resale research and pricing decisions. No API key required.

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Why this scraper?

🎯 Built for vinted

A dedicated European scraper tuned for vinted — its categories, price formats and currency (EUR), not a generic tool pointed at it.

🤝 Seller and condition

Seller details and item condition in structured fields, ready for filtering.

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Input parameters

Parameter	Type	Default	Description
searchQuery	string	"nike air force 1"	Product, brand, or model to scan across markets (e.g. 'nike air force 1', 'ralph lauren jumper').
countries	array	["fr", "de", "nl", "it", "es"]	Vinted markets to scan. Pick 2-5 for a focused arbitrage scan. All listings are normalised to one currency for comparison.
maxResults	integer	100	Total listings to return across all markets (split evenly). Vinted caps each query at ~960 per market.
baseCurrency	string	"EUR"	Currency all markets are converted to for price-gap comparison. Live ECB rates.
sortBy	string	"relevance"	How listings are ordered within each market.
priceMin	integer	(empty)	Minimum listing price in each market's local currency. Leave empty for no minimum.
priceMax	integer	(empty)	Maximum listing price in each market's local currency. Leave empty for no maximum.
condition	array	(empty)	Filter by item condition. Leave empty to include all conditions.
brandNames	array	(empty)	Filter by brand — just type the names (e.g. 'Nike', 'Stone Island'). The actor looks up each brand's ID automatically. Leave empty for all brands.
brandIds	array	(empty)	Advanced: filter by raw Vinted brand ID if you already know it. Most users should use Brand names above instead.
sizeIds	array	(empty)	Advanced: filter by raw Vinted size ID for categories not covered by the dropdowns below. Find it in the URL after selecting a size filter. Leave empty for all sizes.
clothingSizes	array	(empty)	Filter by clothing size (XS–XXXL). For shoes, use the shoe size filter below. Leave empty for all sizes.
shoeSizes	array	(empty)	Filter by EU shoe size (38–47.5). For clothing, use the clothing size filter above. Leave empty for all sizes.
kidsSizes	array	(empty)	Filter by kids clothing size (age / cm, e.g. '6 yr / 116 cm'). Covers newborn to 16 years. Leave empty for all sizes.
colors	array	(empty)	Filter listings by colour. Leave empty for all colours. Note: Vinted does not return a colour value per listing, so this narrows the scan but does not add a colour output field.
gender	string	"all"	Filter by department. Vinted sells far more than clothing — pick Home, Electronics, Video Games, Books & Media, Beauty, Jewellery, Sports, or Bags for non-fashion categories. Leave as 'All' to search everything. Note: if you pick a specific Category below, that takes precedence over this.
category	string	"all"	Filter by product category. These are the verified cross-department categories. For any other category, use the advanced Category ID field below. If set, this overrides the Department filter.
categoryId	integer	(empty)	Advanced: filter by a specific Vinted catalog ID not covered by the Category dropdown. Find it in the catalog URL (catalog[]=NUMBER). Overrides Department and Category if set.
includeListings	boolean	true	Output every matching listing row. Disable to get only the cross-country arbitrage summary (cheaper).
dedupeAcrossMarkets	boolean	true	Vinted shows the same listing in every market it ships to. With this on, each item appears once, with a 'markets' field listing every market it was found in. Turn off to get one row per market.
fetchDetails	boolean	false	Fetch each listing's page for the seller's description, declared colour, and full category path — data not in the fast search API. This makes runs slower and is billed at a higher per-result rate. Leave off for fast, cheap catalog data.
sellThroughTracking	boolean	false	Measure real demand. Run this on a schedule (e.g. daily): the actor snapshots live listings and flags items that disappear as 'likely sold', giving you a sell-through rate and median days-to-sell for your niche. Overrides the normal scan output.
trackerName	string	(empty)	A stable name for this sell-through tracker (e.g. 'nike-af1-kids'). Reuse the same name across scheduled runs so history accumulates. Leave empty to auto-generate from the search query.
missingRunsBeforeSold	integer	2	How many consecutive runs an item must be absent before it's marked likely sold. Use 2 to avoid false positives from search-ranking shuffle.
emitActiveItems	boolean	true	In sell-through mode, also output items that are still listed (with days-listed and any price drop). Disable to output only newly-sold items and the summary (cheaper).
minSellThroughAlertPct	integer	(empty)	In sell-through mode, only send a webhook alert when the sell-through rate is at least this percentage. Leave empty to always alert. Pairs with the Telegram/Discord/Slack fields below.
includeArbitrageSummary	boolean	true	Add one summary row comparing median/min/max prices across markets and naming the buy-low / sell-high pair.
telegramBotToken	string	(empty)	Optional. Send each run's arbitrage alert to Telegram. Create a bot with @BotFather and paste its token here. Also fill in the chat ID below.
telegramChatId	string	(empty)	Optional. The chat or channel ID to send Telegram alerts to (e.g. your user ID, or -100... for a channel). Required if a bot token is set.
discordWebhookUrl	string	(empty)	Optional. Send each run's arbitrage alert to a Discord channel. Paste an Incoming Webhook URL (Server Settings → Integrations → Webhooks).
slackWebhookUrl	string	(empty)	Optional. Send each run's arbitrage alert to a Slack channel. Paste an Incoming Webhook URL (api.slack.com/messaging/webhooks).
minSpreadPctAlert	integer	(empty)	Only send alerts when the cross-country median spread is at least this percentage. Leave empty to always alert. Useful for scheduled runs that should only ping you on real opportunities.
alertTopListings	integer	5	How many of the cheapest listings to include in each alert message.

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Output schema

Every field below is present on every record. Fields the source does not publish for a given item are returned as null rather than omitted.

Field	Type	Description
_type	string	type.
id	string	Vinted listing ID.
country	string	Market the listing was found in.
url	string	Direct listing URL.
title	string	Listing title.
brand	string	null
size	string	null
condition	string	null
currency	string	Local currency of the listing.
itemPrice	number	Seller's asking price (local currency).
buyerPrice	number	Total the buyer pays incl. Buyer Protection (local currency).
serviceFee	number	null
favouriteCount	number	null
isPromoted	boolean	Whether the listing is a promoted/bumped item.
isBusinessSeller	boolean	null
photoCount	number	Number of photos on the listing.
photoUrl	string	null
dominantColor	string	null
photoUploadedAt	string	null
source	string	Source.
scrapedAt	string	Timestamp when this record was scraped.
itemPriceBase	number	null
buyerPriceBase	number	null
baseCurrency	string	The comparison currency.
markets	array	Every market this exact item was found in (cross-market duplicates are merged into one row).

Example record

{
  "_type": "LISTING",
  "id": "9222956838",
  "country": "fr",
  "url": "https://www.vinted.fr/items/9222956838-nike-air-max-muse-beige",
  "title": "Nike Air Max Muse beige",
  "brand": "Nike",
  "size": "38.5",
  "condition": "Très bon état",
  "currency": "EUR",
  "itemPrice": 30,
  "buyerPrice": 32.2,
  "serviceFee": 2.2,
  "favouriteCount": 11,
  "isPromoted": false,
  "isBusinessSeller": false,
  "photoCount": 6,
  "photoUrl": "https://images1.vinted.net/t/04_0178a_RicYp7npXNhP88DF81HxR1j5/f800/1782037084.jpeg?s=cc093d2951e723dd88aafcea690c2f782094b11c",
  "dominantColor": "#7D7266",
  "photoUploadedAt": "2026-06-21T10:18:04.000Z",
  "source": "vinted-arbitrage-scanner",
  "scrapedAt": "2026-06-27T12:30:04.894Z",
  "itemPriceBase": 30,
  "buyerPriceBase": 32.2,
  "baseCurrency": "EUR",
  "markets": [
    "fr"
  ]
}

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Examples

Search for Nike hoodie:

{
  "searchQuery": "Nike hoodie",
  "maxResults": 100
}

Filter by category or condition:

{
  "searchQuery": "Nike hoodie",
  "maxResults": 100,
  "condition": [
    "used"
  ]
}

Larger run with a hard cap:

{
  "searchQuery": "Nike hoodie",
  "maxResults": 500
}

Daily monitoring (run on a schedule):

{
  "searchQuery": "Nike hoodie",
  "maxResults": 500
}

Schedule this input to run once a day in the Apify Scheduler to track prices, stock and new items over time.

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💰 Pricing

$0.8 per 1,000 results — you only pay for successfully retrieved market reports. Failed retries are never charged.

Results	Cost
100	~$0.08
1,000	~$0.8
10,000	~$8
100,000	~$80

Flat-rate alternatives typically charge $29–$49/month regardless of usage.

Subscription tiers lower the rate further, down to $0.76 per 1,000 at the highest tier. Use the Max results cap in the input to control your spend exactly.

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Performance

Run size	Typical time
100 results	under 1 minute
1,000 results	2–4 minutes
10,000 results	20–35 minutes

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Known limitations

• Some fields (brand, condition, shipping) are only returned when the seller or source publishes them — expect null on a share of records.
• Prices and stock change constantly; records reflect the moment of scraping.
• Very large result sets are bounded by the source's own paging limits.
• Items can sell or be withdrawn at any time, so a small share of URLs may expire shortly after scraping.

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Technical details

• Source: vinted
• Coverage: everything the public search exposes, filterable via the input parameters above
• Retry: automatic retry on network errors with exponential backoff

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Need a custom scraper?

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If the site you need isn't in our portfolio yet, just ask. We scope, build, and publish it at no cost to you. You only pay for results — we absorb the compute and proxy costs ourselves. Same pay-per-result pricing, same quality, same standards as every actor in this portfolio.

Get in touch: www.unfencedgroup.nl