StockX Price Monitoring & Market Data Scraper

Track StockX prices, bids, asks, last sales, and market analytics automatically. Get structured sneaker price data for StockX price monitoring, price alerts, resale research, and arbitrage tracking.

Main Use Cases

• StockX price monitoring: Track price drops and changes over time for specific sneakers or search results.
• Resale price tracking: Monitor lowest asks, highest bids, and last sale prices across sizes and markets.
• Market research & competitor analysis: Analyze 12-month averages, volatility, and price premiums to understand market trends.
• Sneaker price analytics: Build datasets for StockX sales history and price history analysis.
• StockX data export: Export structured product data for dashboards, alerts, or automation workflows.

How It Works

This actor uses StockX's internal GraphQL API (the same API the stockx.com web app uses) to fetch live product and market data - no HTML parsing or browser needed. It resolves product URLs via the same API and retries with fresh residential proxy sessions if blocked.

Extract Real-Time StockX Prices & Market Data

• Live pricing: Lowest ask, highest bid, last sale per product (and market-dependent values).
• Market metrics: Number of asks, sales in last 72 hours, 12-month average price, volatility (0-1), and price premium vs retail.
• Product details: Title, brand, style ID/SKU, colorway, category, gender, retail price, release date, image URL, product ID, URL key.
• Search results: For queries/search URLs, includes the originating query and result page.
• Reliable delivery: Uses Apify Proxy (RESIDENTIAL) by default with automatic retries.

Input

Field	Type	Required	Default	Notes
productUrls	array	no	[]	StockX product URLs to scrape (e.g. https://stockx.com/air-jordan-1-retro-high-og-chicago-reimagined-lost-and-found)
searchUrls	array	no	[]	StockX search URLs to scrape (e.g. https://stockx.com/search?s=jordan)
queries	array	no	[]	Raw search terms to resolve through StockX search API
maxItems	integer	no	100	Total items to scrape; for searches pagination continues automatically (40 results per page). Min 1, max 100000.
country	string	no	"US"	Two-letter country code for market (e.g. US, GB, DE)
currency	string	no	"USD"	Currency code for prices (e.g. USD, EUR, GBP)
maxConcurrency	integer	no	2	Max concurrent requests (1-10; keep low to avoid rate limits)
proxy	object	no	Apify Proxy RESIDENTIAL	Proxy config; RESIDENTIAL group recommended as StockX blocks datacenter IPs

Output

Field	Type	Notes
title	string	Product title
url	string	Product page URL
urlKey	string	StockX URL key
productId	string	StockX product ID
brand	string	Brand
styleId	string	Style ID / SKU
colorway	string	Colorway
category	string	Category
gender	string	Gender
retailPrice	number	Retail price
releaseDate	string	Release date
lowestAsk	number	Lowest ask
highestBid	number	Highest bid
lastSale	number	Last sale
numberOfAsks	number	Number of asks
salesLast72Hours	number	Sales in the last 72 hours
annualAveragePrice	number	Average sale price over last 12 months
volatility	number	Price volatility (0-1)
pricePremium	number	Premium vs retail (0.1 = 10% above retail)
image	string	Image URL
query	string	Search query that produced this item (search results only)
page	number	Search result page (search results only)
error	string	Error message when item could not be resolved
scrapedAt	string	ISO timestamp of scrape

Example Input

{
  "productUrls": [
    "https://stockx.com/air-jordan-1-retro-high-og-chicago-reimagined-lost-and-found"
  ],
  "queries": ["nike dunk low panda"],
  "maxItems": 100,
  "country": "US",
  "currency": "USD",
  "maxConcurrency": 2,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Example Output

{
  "title": "Jordan 1 Retro High OG Chicago Reimagined Lost and Found",
  "url": "https://stockx.com/air-jordan-1-retro-high-og-chicago-reimagined-lost-and-found",
  "urlKey": "air-jordan-1-retro-high-og-chicago-reimagined-lost-and-found",
  "productId": "...",
  "brand": "Jordan",
  "styleId": "DZ5485-612",
  "colorway": "Black/Varsity Red-Sail-Muslin",
  "category": "sneakers",
  "gender": "men",
  "retailPrice": 180,
  "releaseDate": "2022-11-19",
  "lowestAsk": 145,
  "highestBid": 130,
  "lastSale": 135,
  "numberOfAsks": 500,
  "salesLast72Hours": 10,
  "annualAveragePrice": 150,
  "volatility": 0.15,
  "pricePremium": -0.1667,
  "image": "https://images.stockx.com/images/...",
  "scrapedAt": "2026-10-15T00:00:00Z"
}

Track StockX Prices Automatically

Set up recurring runs to automate StockX price monitoring and price alerts. Use Apify Scheduler to run this actor on a schedule (e.g. hourly/daily) to track price drops, build price history, and detect arbitrage opportunities. Integrate with webhooks, Make, Zapier, or export to your data pipeline.

Related Actors

1. StockX Search Scraper - Search keywords/categories with live market data per tile
2. StockX Universal Scraper - Scrape by keyword/URL across products with rich details and per-size market
3. StockX Sales History Scraper - Get sales history and market stats for deeper analytics

FAQ

Why use this actor instead of the official StockX API? The official StockX API is partner-gated and not broadly available for general market data access. This actor uses the same internal GraphQL API as the stockx.com web app to retrieve live market data, making it accessible without waiting for API approval.

What are alternatives to this actor / this data source? Alternatives include the official StockX developer API (if approved), third-party pricing APIs, and other StockX scrapers. This actor focuses on structured, repeatable StockX price monitoring and data export.

What data can I extract with this StockX scraper? You can extract product details, lowest ask, highest bid, last sale, number of asks, 72h sales, annual average price, volatility, price premium vs retail, images, and search context (query/page). For search results, each item includes the originating query and page.

How accurate is the data? Data comes directly from StockX's live GraphQL responses (same as web app), so pricing/metrics reflect current market state for the selected country/currency.

For AI Agents & LLM Apps

This actor is callable via the Apify API and Apify MCP, returning structured StockX market data suitable for agents and automation.

• Purpose: Extract live StockX product/market data (prices, bids, asks, last sale, metrics) in structured JSON.
• Minimal working input:

  {
    "productUrls": ["https://stockx.com/air-jordan-1-retro-high-og-chicago-reimagined-lost-and-found"],
    "maxItems": 1
  }
  

• Output fields (key): title, url, urlKey, productId, brand, styleId, colorway, category, gender, retailPrice, releaseDate, lowestAsk, highestBid, lastSale, numberOfAsks, salesLast72Hours, annualAveragePrice, volatility, pricePremium, image, query, page, scrapedAt.
• Behaviors an agent should know:
  • Provide either productUrls, searchUrls, or queries (or combine). If multiple inputs provided, all are processed within maxItems budget.
  • maxItems limits total results; search pagination auto-continues (40 per page) until budget reached.
  • country/currency affect market prices and availability (default US/USD). Use correct two-letter codes.
  • Proxy defaults to RESIDENTIAL (Apify Proxy) because StockX blocks datacenter IPs; keep maxConcurrency low (default 2).
  • Runs on free plans limited to 10 items; paid plans unlimited.
• Billing model: Pay per event (per result). See actor pricing in Apify Store for current rates.

Legal & Compliance Disclaimer

This actor is independent and not affiliated with, endorsed by, or sponsored by StockX. It accesses only publicly available data from stockx.com via the same endpoints the web app uses; it does not bypass login, authentication, or payment flows. Users are responsible for their own compliance with StockX's Terms of Service and applicable data-protection law (e.g. GDPR/CCPA) when using the extracted data. Do not use the data in violation of applicable laws or platform terms.

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