StockX Market Price & Sales History Finder

Collect live resale market data from StockX for sneakers, apparel, watches, handbags, electronics, collectibles, and trading cards. Search by keyword, browse a brand or category, paste StockX URLs, fetch exact products, or pull individual sales history — with per-size order books and prices in 28 currencies across 24 markets.

What this actor does

• Six modes: keyword search, byBrand, byCategory, exact byProduct slugs or URLs, byUrl for pasted links, and salesHistory for individual transactions
• Full market snapshot: lowest ask, highest bid, ask tiers and counts, last sale, 72-hour velocity, 90-day and annual averages, volatility, price premium, and the 12-month low/high
• Per-size order book: every available size with its own ask, bid, spread, spread percentage, last sale, 72-hour sales, GTINs, and size conversions
• Product identity: style ID, colorway, retail price, release date, description, traits, gallery images, and 360° views
• Honest limits: StockX caps each query at 1,000 results, serves sales 50 at a time, and the actor tells you when a cap or filter affects the result
• Empty fields are omitted from every record — no null placeholders or sentinel values

No StockX account, cookies, or proxy setup is required.

Output: per product

Used by search, byBrand, byCategory, byProduct, and byUrl product links.

• slug, productUrl, sourceUrl, productId — identity and the listing page the row came from
• title, name, model, brand, brandSlug — product naming
• category, subcategory, categories[], categoryPath[], productCategory, primaryCategory — category path
• gender, condition, listingType — audience and listing attributes
• styleId, colorway, retailPrice, releaseDate — manufacturer and release data when StockX publishes it
• description — plain-text description with markup removed
• traits[] — visible product traits as {name, value, format} objects
• imageUrl, smallImageUrl, thumbUrl, gallery[], gallery360[], verticalImages[] — image links
• lowestAsk, highestBid — current best prices
• lowestAskUpdatedAt, highestBidUpdatedAt — when each side last changed
• numberOfAsks, numberOfBids, askServiceLevels — order-book depth and Standard / Express / Next-Day ask tiers
• lastSale, lastSaleChangePercentage, lastSaleChangeValue — most recent transaction and its change
• salesLast72Hours — units traded in the last 72 hours
• deadstockSold — annual sales count (kept for compatibility with older integrations)
• annualLow, annualHigh, annualAveragePrice, annualSalesCount — 12-month range and stats
• volatility, pricePremium, averageDeadstockPrice — market character
• last90DaysAveragePrice, last90DaysSalesCount — 90-day stats
• currency, region — pricing currency and market used for this run
• variants[] — per-size order book rows (below)
• recentSales[] — recent individual sales when you enable sales enrichment
• sponsored — present and true when StockX marks a listing as sponsored
• recordType: "product", siteName: "StockX", scrapedAt

Variant object (variants[])

• variantId, sku, size, sizeType, sizeConversions[], gtins[]
• lowestAsk, highestBid, numberOfAsks, numberOfBids
• lastSale, salesLast72Hours, last90DaysAveragePrice, last90DaysSalesCount
• spread, spreadPct — only when both an ask and a bid exist
• currency, region

Output: per sale (salesHistory mode and recentSales[])

• amount, currency — sale price and currency
• createdAt — transaction timestamp
• orderType — EXPRESS or STANDARD
• shoeSize, sizeType, sizeConversions[], variantId — the size that sold
• productSlug, productUrl, productTitle — the product the sale belongs to
• saleKey — deterministic key built from product, timestamp, price, and size
• region — market used for this run
• recordType: "sale", siteName: "StockX", scrapedAt

Input

Field	Type	Default	Description
mode	string	search	search, byBrand, byCategory, byProduct, byUrl, or salesHistory
searchQueries	array	["jordan"]	One or more keywords (mode=search)
brand	string	–	Brand alias for mode=byBrand, e.g. jordan, nike, new-balance; also filters other modes when set
category	string	–	StockX category for mode=byCategory; also filters other modes when set
gender	string	–	men, women, or kids
color	string	–	Common color filter
sortBy	string	featured	Ten StockX sort orders, including lowest_ask, most-active, and release_date
productSlugs	array	–	Product slugs or StockX product URLs (mode=byProduct / salesHistory)
startUrls	array	–	StockX search, category, brand, browse, or product URLs (mode=byUrl)
currency	string	USD	One of 28 supported currencies
country	string	US	One of 24 supported markets
minPrice	integer	–	Drop products whose lowest ask is below this value
maxPrice	integer	–	Drop products whose lowest ask is above this value
minSalesLast72Hours	integer	–	Keep products with at least this many recent sales
includeProductDetails	boolean	true	Fetch the full product record while browsing; off gives a compact listing row
includeVariants	boolean	true	Add the per-size order book to full product records
includeSalesHistory	boolean	false	Add recentSales[] to each product record
salesLimit	integer	50	Maximum individual sales per product (1–500)
salesCondition	string	all	all, new-and-verified, new-other, or used
maxItems	integer	25	Hard cap on emitted records (1–1,000)
maxPages	integer	5	Listing pages per query (1–25, 40 products per page)

Example: search with sizes and full market stats

{
  "mode": "search",
  "searchQueries": ["jordan 4 retro"],
  "currency": "USD",
  "country": "US",
  "sortBy": "most-active",
  "maxItems": 25,
  "maxPages": 2,
  "includeProductDetails": true,
  "includeVariants": true
}

Example: a brand within a price band

{
  "mode": "byBrand",
  "brand": "new-balance",
  "gender": "men",
  "minPrice": 120,
  "maxPrice": 400,
  "maxItems": 50
}

Example: paste StockX links

{
  "mode": "byUrl",
  "startUrls": [
    "https://stockx.com/category/watches",
    "https://stockx.com/brands/casio",
    "https://stockx.com/browse/women",
    "https://stockx.com/air-jordan-5-retro-wolf-grey-2026"
  ],
  "currency": "EUR",
  "country": "DE",
  "maxItems": 40
}

Example: individual sales history

{
  "mode": "salesHistory",
  "productSlugs": ["air-jordan-5-retro-wolf-grey-2026"],
  "salesCondition": "all",
  "salesLimit": 200,
  "maxItems": 200,
  "currency": "GBP",
  "country": "GB"
}

Use cases

• Resale price monitoring — schedule daily runs and track lowest ask, highest bid, and last sale per product
• Sneaker and streetwear research — compare colorways, release dates, retail prices, and 12-month ranges
• Watch and collectible dealers — read per-size or per-variant order books, spreads, and ask depth
• Sales-ledger analysis — pull individual transactions to study realized prices, size premiums, and volume
• Cross-market pricing — request the same product in different currencies and markets to compare localized pricing
• Catalog enrichment — collect style IDs, GTINs, colorways, traits, and image galleries for a product database

FAQ

Do I need a StockX account, cookies, or a proxy? No. The actor reads StockX's public product and market data directly. You do not need to log in, supply cookies, or configure a proxy.

How fresh is the data? Each run requests current listings and market statistics, so prices, asks, bids, and recent sales reflect what StockX serves at run time.

Why is lowestAsk or highestBid missing for some products? Those fields are omitted when no active seller or buyer exists for the product or size. Missing means "nothing live right now", not zero.

How many results can one query return? StockX caps a single query at 1,000 products across 25 pages of 40. When the cap is reached, the run status suggests splitting by brand, category, or gender for wider coverage.

How deep is the sales history? StockX serves 50 individual sales per request with a cursor for older pages. salesLimit controls how many sales the actor collects per product, up to 500.

Why did a sale-condition filter return all conditions? StockX intermittently rejects condition-filtered sales requests. When that happens the actor retries, falls back to all conditions, and says so in the run status instead of returning nothing.

What does "Price: high to low" mean? StockX does not serve a true descending price sort, so the actor collects the requested pages in ascending order and reverses those rows before emitting them. Increase maxPages to widen the range considered.

Why are chainId and deadstockRangeLow / deadstockRangeHigh not in the output? StockX no longer exposes a transaction ID or a separate deadstock range. Existing output fields are preserved, but these are omitted rather than filled with placeholders; annualLow and annualHigh carry the 12-month range.

Is this affiliated with StockX? No. This is an independent, third-party actor that reads publicly available StockX data. It is not operated by or affiliated with StockX.