Vinted Real-Time Data

Live resale market intelligence, thrift price comps, wardrobe inventory, and a vintage deal finder for Vinted.

Search the live Vinted marketplace by keyword, pull full listing records, track reseller wardrobes, profile sellers, check completed-listing comps, and process any Vinted URL — all streamed to your dataset as structured JSON the moment each row is ready.

⚠️ Free Apify plans are capped at 2 results per run. Upgrade to a paid Apify plan for unlimited vintage and thrift data exports. Paid runs are never capped.

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Who this is for

• Vintage & thrift resellers cross-listing on Vinted, Poshmark, eBay, Depop, Mercari, and Grailed.
• Consignment owners and sourcing teams who need fresh inventory before it sells.
• Resale arbitrageurs hunting underpriced Carhartt, gorpcore, Y2K, and designer denim.
• Pricing teams and fashion researchers modelling sell-through and category demand.
• AI agents and pricing bots that need a clean, portable resale schema.

What you can do with it

• Find undervalued inventory fast — vintage single-stitch tees, designer denim, gorpcore shells, Y2K drops, deadstock workwear.
• Check comps before you price — confirm what similar pieces actually sell for.
• Monitor competitor wardrobes — watch a reseller's stock and repricing moves over time.
• Get deal alerts in Slack or Discord — every new row can be pushed to your channel in real time.
• Keep multi-platform pricing in sync — the output schema is portable across the whole thrift suite.
• Feed an AI agent — ask pricing and sourcing questions through the Apify MCP server.

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Feature matrix

Feature	Checkbox	Default	What it returns
Listing Search	enableListingSearch	✅ On	Live keyword search with brand, condition, price, and sort filters.
Listing Details	enableListingDetails	Off	Full records for specific listing URLs or IDs.
Wardrobe Listings	enableClosetListings	Off	A seller's full active wardrobe inventory.
Seller Profile	enableSellerProfile	Off	Reseller stats: followers, rating, reviews, wardrobe size, location.
Sold Item Comps / History	enableSoldHistory	Off	Completed-listing comps for pricing and sell-through.
Scrape By URL	enableScrapeByUrl	Off	Any Vinted URL — search, wardrobe, category, brand, or single listing.

Enable only what you need. Everything streams to the dataset as it is collected, so RAM stays light even on 10,000+ item runs.

One row per listing — never duplicated

When Listing Search is on, each discovered listing is exactly one row. If you also turn on Enrich with full listing details (searchFetchFullDetails), that same row is enriched in place with description, fabric/material, colour, the full image gallery, and seller context — the row is marked detailsFetched: true. Nothing is filtered out, and no second copy of the row is created.

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Input reference

🌍 Region

Field	Type	Default	Notes
country	string (select)	US	Vinted market. Affects currency and the recommended proxy country. Options include US, UK, IE, FR, DE, ES, IT, NL, BE, AT, PT, PL, LT, SE, CZ, HU, SK, RO, DK, FI, GR.

🔍 Listing Search

Field	Type	Default	Notes
enableListingSearch	boolean	true	On by default.
searchKeywords	string[]	["carhartt detroit jacket", "vintage 90s levis 501", "patagonia fleece"]	One search per keyword.
searchMaxResults	integer	10	Per keyword, 1–200.
searchSort	select	relevance	relevance, newest, price_low_to_high, price_high_to_low.
searchBrand	string	—	True brand filter, e.g. Carhartt, Levi's, Patagonia.
searchCondition	select	Any	new_with_tags, new_without_tags, very_good, good, satisfactory.
searchMinPrice	integer	—	Market currency.
searchMaxPrice	integer	—	Market currency.
searchFetchFullDetails	boolean	false	Enrich each search row in place.

Example searches: carhartt detroit jacket, vintage 90s levis 501, patagonia fleece, single stitch band tee, stussy hoodie, ralph lauren cable knit, nike acg jacket, y2k baby tee.

📦 Listing Details

Field	Type	Default	Notes
enableListingDetails	boolean	false
listingUrls	string[]	[]	Full listing URLs.
listingIds	string[]	[]	Numeric listing IDs.

👚 Wardrobe Listings

Field	Type	Default	Notes
enableClosetListings	boolean	false
sellerUsernames	string[]	[]	Vinted member URLs or numeric member IDs. Shared with Seller Profile.
sellerMaxListings	integer	30	Per seller, 1–1000.

👤 Seller Profile

Field	Type	Default	Notes
enableSellerProfile	boolean	false	Uses the same seller list.

🧾 Sold Item Comps / History

Vinted removes sold items from public wardrobes, so there is no browse-all sold feed. This feature works from the sold listing URLs or IDs you provide and reports each listing's final status and last price — the comp data behind pricing decisions.

Field	Type	Default	Notes
enableSoldHistory	boolean	false
soldItemUrls	string[]	[]	Sold or completed listing URLs.
soldItemIds	string[]	[]	Sold or completed listing IDs.
soldMaxItems	integer	30	Per run, 1–1000.

🔗 Scrape By URL

Field	Type	Default	Notes
enableScrapeByUrl	boolean	false
scrapeUrls	string[]	[]	Any Vinted search, member, category, brand, or listing URL. Page type is detected automatically.

🔔 Delivery & 🌐 Connection

Field	Type	Default	Notes
webhookUrl	string	—	Optional real-time push in addition to the dataset.
webhookFormat	select	json	json or slack.
proxyConfiguration	object	Apify Residential (US)	Residential proxy recommended. Match the country to the market.

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Output schema

Every row shares a portable core so you can union datasets across platforms:

featureType, scrapedAt, url, item_id, item_url, title, description, main_image_url, additional_image_urls, status, current_price, original_price, currency, discount_percentage, brand, size, condition, category, department, color, style_tags, material, likes_count, is_sold, seller_username, seller_id, detailsFetched

featureType is one of: listing_search, listing_details, closet_listings, seller_profile, sold_history, scrape_by_url.

Pricing & engagement

Field	Meaning
current_price	Listed price in the market currency.
total_price	All-in price incl. Buyer Protection, when shown.
service_fee	Buyer Protection fee, when available.
original_price / discount_percentage	Markdown baseline and % off, when the seller has reduced the price.
currency	ISO currency for the selected market (USD, GBP, EUR, …).
likes_count	Favourites/saves — a strong demand signal.
views_count	Views, when available (wardrobe inventory).
is_promoted	Seller bumped the listing for extra exposure.

Product attributes

Field	Meaning
brand / brand_id	Brand name and catalog id.
size	Seller-declared size.
condition	New with tags → Satisfactory.
category / department	Marketplace taxonomy.
color / material	Colour and fabric.
style_tags / hashtags	Style descriptors and hashtags.

Seller metrics

Field	Meaning
seller_username / seller_id	Seller identity.
seller_rating / seller_review_count	Rating and number of reviews (Seller Profile).
followers / following	Social proof (Seller Profile).
total_listings	Active wardrobe size (Seller Profile).
seller_items_listed	Wardrobe size observed alongside a listing.
location / city / country	Seller location.

Status & metadata

Field	Meaning
status	available, sold, reserved, hidden, not_for_sale, or deleted.
is_sold / is_reserved	Clear boolean flags for filtering.
detailsFetched	true when a search row was enriched in place.
position	Rank within the page the item was found on.
pageType	Detected page type on scrape_by_url rows.

Dataset views are available per feature (All results, Overview, Listing Search, Listing Details, Wardrobe Listings, Seller Profiles, Sold Item Comps, Scrape By URL).

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Webhook guide

Every record is always saved to the run dataset. If you set webhookUrl, each new row is also POSTed to your URL in real time (Slack, Discord, Zapier, Make, n8n, or your own pricing bot). Delivery is best-effort and never blocks the run.

Slack (webhookFormat: "slack") sends a ready-to-post message:

{
  "text": ":shopping_bags: *Carhartt Detroit Jacket*\n*Type:* listing_search  •  *Price:* USD 65 (was USD 90)  •  *Brand:* Carhartt  •  *Size:* M  •  *Condition:* Very good  •  *Seller:* thrifty_mia  •  42 favourites\n<https://www.vinted.com/items/123456789-carhartt-detroit-jacket|Open on Vinted>"
}

JSON (webhookFormat: "json") sends the full dataset record object, so your bot can read any field directly.

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Use with AI agents (Apify MCP)

Connect the Apify MCP server and point your agent at this Actor. Example questions:

• "What is the average asking price for a 90s Carhartt J97 jacket on Vinted?"
• "Find underpriced Patagonia fleece listings under €40 and alert my Slack channel."
• "List every item in this seller's wardrobe and flag anything more than 30 days old."
• "Compare sold comps for Levi's 501 to live asking prices."

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FAQ

How fresh is the data? Every row is collected live during your run and streamed immediately — there is no cached or stale inventory.

Do I need a proxy? A residential proxy is recommended and is the Apify default. Match its country to the market for the most reliable results, especially at scale.

Why am I only getting 2 results? Free Apify plans are capped at a 2-result sample per run. Upgrade to a paid plan for unlimited exports. This is a policy limit, not a bug.

Can I get more than 200 results per keyword? Run multiple keywords, or use Wardrobe Listings and Scrape By URL to walk a seller or category in full.

How do I avoid seeing the same listing twice? Rows are de-duplicated by listing identity within a run, so a listing is written once.

Why is is_sold false almost everywhere on search? Live search returns active stock. Use Sold Item Comps with completed listing URLs to check final prices.

Will it work for other markets? Yes — pick the market in the Region section; currency and matching proxy country follow automatically.

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Local development

npm install
cp .env.example .env      # add your residential proxy values
cp local.input.example.json local.input.json
npm run start:local       # streams rows to output/local_results.jsonl

npm run typecheck
npm run build

Never commit .env or local.input.json with real values.

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Output contract portability

Field names intentionally line up with the wider thrift & resale suite so a single pricing bot or warehouse can union Vinted, Poshmark, Depop, Grailed, Mercari, ShopGoodwill, and eBay datasets without per-site remapping.