StockX Scraper

Scrape StockX listings and live resale market data at scale. Search by keyword, browse by brand or category, or pull specific products — every result comes with the current lowest ask, highest bid, last sale, and full sales statistics. No API key required.

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Why this scraper?

📊 Live market data on every result

Lowest ask, highest bid, last sale, and ask depth — included on every listing, not hidden behind a slow product-page fetch.

📈 Full sales statistics

72-hour, 90-day, and annual sales counts, average prices, volatility, and price premium — the numbers resale traders actually use.

🏷️ Five ways to scrape

Search by keyword, browse a brand, browse a category, fetch specific products, or pass direct StockX URLs.

🔍 Optional deep enrichment

Switch on product details to add style ID, colorway, retail price, restock date, and the full size matrix.

🌍 Multi-region pricing

Request localized prices across 14 regions and 10 currencies.

💸 The lowest price on the Store

Flat per-result pricing that undercuts every comparable StockX actor, with no separate start or retry fees.

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Input parameters

Field	Type	Default	Description
mode	string	search	What to scrape: search, byBrand, byCategory, byProduct, or byUrl.
searchQuery	string	jordan 4	Free-text query (mode = search).
brand	string	jordan	Brand slug (mode = byBrand), e.g. nike, adidas, new-balance, supreme, rolex.
category	string	sneakers	Category slug (mode = byCategory): sneakers, apparel, accessories, electronics, collectibles, trading-cards, watches.
productUrls	array	[]	Specific products (mode = byProduct). Full URL or slug.
startUrls	array	[]	Direct StockX search, brand, or category URLs (mode = byUrl).
currency	string	USD	Currency label for output. One of USD, EUR, GBP, JPY, AUD, CAD, CHF, HKD, SGD, MXN.
country	string	US	Region used for localized pricing.
sortBy	string	featured	Sort order: featured, most_active, recently_released, price_high_to_low, price_low_to_high.
fetchDetails	boolean	false	Enrich each result with its product page (style ID, colorway, retail price, restock date, size matrix).
minPrice	integer	—	Drop products with lowest ask below this value.
maxPrice	integer	—	Drop products with lowest ask above this value.
newOnly	boolean	false	Keep only products in New condition.
maxResults	integer	5	Cap on results emitted. Set 0 for no cap (StockX caps each query at 1,000).
maxPages	integer	5	Maximum listing pages to walk (up to 25).

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Output schema

Always present

Field	Type	Description
id	string	StockX product identifier (UUID).
title	string	Full product title.
name	string	Short product name.
urlKey	string	URL slug of the product.
productUrl	string	Full StockX product URL.
brand	string	Brand name.
model	string	Product model line.
gender	string	Target gender (men, women, child, unisex).
condition	string	Product condition (e.g. New).
productCategory	string	Primary product category.
primaryCategory	string	StockX primary category label.
categories	array	Category hierarchy aliases.
listingType	string	Listing type (e.g. STANDARD).
description	string	Plain-text product description.
descriptionMarkdown	string	Description in Markdown/plain text.
releaseDate	string	Release date (null if not published).
currency	string	Currency the prices are expressed in.
lowestAsk	number	Current lowest ask price (null if none).
lowestAskUpdatedAt	string	Timestamp the lowest ask was last updated.
highestBid	number	Current highest bid price (null if none).
highestBidUpdatedAt	string	Timestamp the highest bid was last updated.
lastSale	number	Most recent sale price.
askCount	number	Number of standard asks available.
averagePriceAnnual	number	Average sale price over the last year.
averagePrice90d	number	Average sale price over the last 90 days.
salesCount72h	number	Sales in the last 72 hours.
salesCount90d	number	Sales in the last 90 days.
salesCountAnnual	number	Sales over the last year.
volatilityAnnual	number	Annual price volatility (0–1).
pricePremiumAnnual	number	Annual resale premium over retail (can be negative).
imageUrl	string	Product image URL.
thumbUrl	string	Thumbnail image URL.
market	string	Region the prices were requested for.
source	string	Always StockX.
scrapedAt	string	ISO timestamp of extraction.

With fetchDetails: true

Field	Type	Description
styleId	string	Manufacturer style code (e.g. FQ8138-600).
colorway	string	Official colorway description.
retailPrice	number	Original retail price (null if not listed).
restockDate	string	Restock date if one exists (often null).
sizes	array	Size matrix: variant id and size for each available size.
gallery	array	Additional product images (often null).

Example record

{
  "id": "9acafeb5-bc4a-4d66-bc3a-4899d2e64775",
  "title": "Jordan 4 Retro Toro Bravo (2026)",
  "name": "Toro Bravo (2026)",
  "urlKey": "air-jordan-4-retro-toro-bravo-2026",
  "productUrl": "https://stockx.com/air-jordan-4-retro-toro-bravo-2026",
  "brand": "Jordan",
  "model": "Jordan 4 Retro",
  "gender": "men",
  "condition": "New",
  "productCategory": "sneakers",
  "primaryCategory": "Air Jordan",
  "categories": ["sneakers", "lifestyle"],
  "listingType": "STANDARD",
  "description": "The Air Jordan 4 Retro Toro Bravo (2026) brings back one of the most recognisable colourways in the Jordan 4 line.",
  "releaseDate": "2026-05-30",
  "currency": "USD",
  "lowestAsk": 150,
  "lowestAskUpdatedAt": "2026-06-21T13:15:57Z",
  "highestBid": 243,
  "highestBidUpdatedAt": "2026-06-12T12:45:36Z",
  "lastSale": 190,
  "askCount": 2563,
  "averagePriceAnnual": 188,
  "averagePrice90d": 188,
  "salesCount72h": 633,
  "salesCount90d": 17254,
  "salesCountAnnual": 17289,
  "volatilityAnnual": 0.124127,
  "pricePremiumAnnual": -0.138,
  "imageUrl": "https://images.stockx.com/images/Air-Jordan-4-Retro-Toro-Bravo-2026-Product.jpg",
  "thumbUrl": "https://images.stockx.com/images/Air-Jordan-4-Retro-Toro-Bravo-2026-Product.jpg",
  "styleId": "FQ8138-600",
  "colorway": "Fire Red/White/Black/Cement Grey",
  "retailPrice": 220,
  "restockDate": null,
  "sizes": [{ "id": "fa920004-d46f-4927-ac04-7abaec15fabd", "size": "3.5" }],
  "gallery": null,
  "market": "US",
  "source": "StockX",
  "scrapedAt": "2026-06-22T08:26:34.427Z"
}

---

Examples

Search for Jordan 4 sneakers:

{
  "mode": "search",
  "searchQuery": "jordan 4",
  "maxResults": 100
}

Browse a brand, filtered by price, new only:

{
  "mode": "byBrand",
  "brand": "new-balance",
  "minPrice": 100,
  "maxPrice": 300,
  "newOnly": true,
  "maxResults": 200
}

Specific products with full detail:

{
  "mode": "byProduct",
  "productUrls": [
    "air-jordan-4-retro-white-cement-2025",
    "adidas-yeezy-boost-350-v2-onyx"
  ]
}

Direct category URL in EUR pricing:

{
  "mode": "byUrl",
  "startUrls": ["https://stockx.com/category/watches"],
  "currency": "EUR",
  "country": "DE",
  "sortBy": "most_active",
  "maxResults": 500
}

---

Daily feed of new releases (run on a schedule):

{
  "searchQuery": "Jordan",
  "sortBy": "recently_released",
  "maxResults": 200
}

Schedule this input to run once a day in the Apify Scheduler to capture the newest listings as they appear.

💰 Pricing

$1.89 per 1,000 listings — you only pay for results actually returned. There are no separate start fees and no charges for retries.

Results	Cost
100	~$0.19
1,000	~$1.89
10,000	~$18.9
100,000	~$189

Higher subscription tiers pay less, down to $1.89 per 1,000.

Product detail enrichment (when fetchDetails is on, or in Specific products mode) is charged as a premium result at $1.89 per 1,000, reflecting the extra work of fetching each product page. Leave fetchDetails off to stay on the standard listing rate.

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

Use the Max results cap to control your spend exactly.

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Performance

Run size	Mode	Typical time
100 results	Listing	under 1 minute
1,000 results	Listing	2–4 minutes
1,000 results	With details	25–40 minutes

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Known limitations

• Each StockX search, brand, or category query returns at most 1,000 results (a StockX limit). Split large catalogues across more specific queries.
• Style ID, colorway, retail price, and size matrix require fetchDetails: true — they are not available on listing pages.
• Localized prices depend on regional availability; some products show identical prices across regions.

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Technical details

• Source: stockx.com — sneaker, streetwear, electronics, collectibles, and watch resale marketplace
• Memory: 512 MB
• Retry: Automatic retry on network errors with backoff, multiple attempts per request
• Output: Dataset records plus an OUTPUT run summary and a HEALTH status key

Related scrapers

Other scrapers in our Fashion & Sneaker Resale collection:

• Grailed Scraper
• Vestiaire Collective Scraper
• Vinted Demand & Sell-Through Scraper
• Zalando Scraper

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Run it on a schedule

This actor is built for repeat use. Set it to run daily, weekly, or hourly, and the data keeps flowing without you touching it.

• Schedule runs — open the actor, go to Schedules, and pick a cadence. Each run only charges you for the results it returns.
• Connect it to your stack — push results straight to Google Sheets, Slack, a webhook, or your database using Apify Integrations. No glue code needed.
• Pull results via API — every run writes a clean dataset you can fetch with one API call, ready for whatever you build on top of it.

Set it once and it runs on its own.

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Need a custom scraper?

Unfenced Group builds Apify actors for any website — for free.

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