StockX Scraper - Sneaker & Streetwear Price Data

Scrape StockX for real-time sneaker, streetwear, electronics, collectible, and accessory pricing data. Extract retail prices, market values, bid/ask spreads, sales history, volatility, and price premiums — all in structured JSON.

What does StockX Scraper do?

This actor searches StockX and extracts detailed product and market data for any item listed on the platform. Whether you are tracking sneaker prices, analyzing streetwear trends, or building a reselling toolkit, this scraper delivers the data you need.

Extracted data includes:

Field	Description
productName	Full product name (e.g. "Jordan 1 Retro High OG Chicago Lost and Found")
brand	Brand name (Nike, Adidas, Supreme, etc.)
sku	Style code / SKU (e.g. "DZ5485-612")
retailPrice	Original retail price
lastSalePrice	Most recent sale price on StockX
lowestAsk	Current lowest ask (sell) price
highestBid	Current highest bid (buy) price
numberOfAsks	Total number of active asks
numberOfBids	Total number of active bids
salesLast72h	Number of sales in the last 72 hours
pricePremium	Price premium vs. retail (e.g. "+145.2%")
volatility	Price volatility percentage
imageUrl	Product image URL
releaseDate	Release date (ISO 8601)
colorway	Colorway description
url	StockX product page URL
bidAskSpread	Spread between lowest ask and highest bid
annualHigh	52-week high price
annualLow	52-week low price
averageSalePrice	Average sale price
totalSales	Total number of sales
sizeData	Size-specific pricing (ask, bid, last sale per size)

Use Cases

Sneaker Reselling

Track prices across hundreds of sneakers to find profitable resale opportunities. Compare retail prices to market values and identify products trading at a premium.

Price Tracking & Alerts

Monitor price changes over time by scheduling regular scraping runs. Build automated alerts for price drops below your target buy price.

Market Analysis & Trends

Analyze market data across categories to identify trending products, seasonal patterns, and price movements. Track volatility to find the best entry and exit points.

Investment Research

Treat sneakers and collectibles as alternative investments. Use historical sales data, volatility metrics, and price premiums to make informed buying decisions.

Authentication & Verification

Cross-reference product details (SKU, colorway, release date) against StockX listings to help verify authentic products.

Inventory Management

Bulk-scrape your inventory to get current market values. Track the total value of your collection over time.

Competitive Intelligence

Monitor competitor pricing strategies on StockX. Compare your prices against the current market to stay competitive.

Data-Driven Content

Use pricing data to create content for sneaker blogs, YouTube reviews, newsletters, and social media posts with up-to-date market information.

Input Configuration

Parameter	Type	Required	Default	Description
searchQuery	string	Yes	—	Search term (product name, brand, SKU, keyword)
category	enum	No	all	Filter: sneakers, streetwear, electronics, collectibles, accessories, handbags
maxResults	integer	No	50	Maximum products to scrape (0 = unlimited)
sortBy	enum	No	relevance	Sort: relevance, price_low, price_high, most_popular, newest
includeDetailPages	boolean	No	true	Visit detail pages for enriched data (slower but richer)
proxyConfiguration	object	No	—	Proxy settings (residential recommended)

Example Input

{
  "searchQuery": "Jordan 1 Retro High OG",
  "category": "sneakers",
  "maxResults": 100,
  "sortBy": "most_popular",
  "includeDetailPages": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Minimal Input

{
  "searchQuery": "Yeezy Boost 350"
}

Output Format

Each product is saved as a JSON object in the dataset:

{
  "productName": "Jordan 1 Retro High OG Chicago Lost and Found",
  "brand": "Jordan",
  "sku": "DZ5485-612",
  "retailPrice": 180,
  "lastSalePrice": 340,
  "lowestAsk": 325,
  "highestBid": 290,
  "numberOfAsks": 1842,
  "numberOfBids": 956,
  "salesLast72h": 127,
  "pricePremium": "+88.9%",
  "volatility": "3.21%",
  "imageUrl": "https://images.stockx.com/images/Air-Jordan-1-Retro-High-OG-Chicago-Lost-and-Found.jpg",
  "releaseDate": "2022-11-19T00:00:00.000Z",
  "colorway": "Varsity Red/Black-Sail-Muslin",
  "url": "https://stockx.com/air-jordan-1-retro-high-og-lost-and-found",
  "urlKey": "air-jordan-1-retro-high-og-lost-and-found",
  "condition": "New",
  "bidAskSpread": "10.8%",
  "annualHigh": 395,
  "annualLow": 270,
  "averageSalePrice": 318,
  "totalSales": 48572,
  "sizeData": [
    { "size": "8", "lowestAsk": 340, "highestBid": 300, "lastSale": 330, "salesCount": 512 },
    { "size": "9", "lowestAsk": 325, "highestBid": 290, "lastSale": 315, "salesCount": 1203 },
    { "size": "10", "lowestAsk": 320, "highestBid": 285, "lastSale": 310, "salesCount": 1456 }
  ],
  "retailPriceFormatted": "$180.00",
  "lastSalePriceFormatted": "$340.00",
  "lowestAskFormatted": "$325.00",
  "highestBidFormatted": "$290.00",
  "scrapedAt": "2026-03-02T12:00:00.000Z"
}

Supported Categories

Category	Examples
Sneakers	Jordan, Nike Dunk, Yeezy, New Balance, ASICS, Salomon
Streetwear	Supreme, BAPE, Stussy, Palace, Kith, Fear of God
Electronics	PlayStation, Xbox, Nintendo, Apple, Meta Quest
Collectibles	Trading cards, LEGO, Bearbrick, KAWS, Hot Wheels
Accessories	Watches, sunglasses, hats, bags, jewelry
Handbags	Louis Vuitton, Gucci, Chanel, Hermes, Dior

Tips for Best Results

1. Use residential proxies — StockX uses Cloudflare protection. Datacenter IPs will be blocked. Enable RESIDENTIAL proxy group in the input.

2. Start with specific queries — "Jordan 1 Retro High OG" works better than just "Jordan" for targeted results.

3. Use category filters — Narrow down results to the specific category for faster, more relevant data.

4. Enable detail pages — Set includeDetailPages: true for the richest data including sales history, bid/ask counts, and size-specific pricing. Disable for faster, lighter scraping.

5. Monitor regularly — Schedule the actor to run daily or weekly to track price trends over time.

6. Respect rate limits — The scraper automatically rate-limits requests. Increasing concurrency may trigger more blocks.

Extraction Strategies

The scraper uses multiple extraction strategies to maximize data quality:

1. Next.js Data — Extracts from __NEXT_DATA__ server-rendered state (primary strategy)
2. DOM Parsing — Parses product cards and detail elements from HTML
3. JSON-LD — Extracts Schema.org Product structured data
4. Inline Scripts — Finds embedded application state in script tags
5. Meta Tags — Falls back to Open Graph and standard meta tags

Each strategy is tried in order, and data from multiple strategies is merged to produce the most complete result.

Pricing

This actor uses Pay Per Event pricing:

• $0.005 per product scraped

Example costs:

• 50 products = $0.25
• 500 products = $2.50
• 5,000 products = $25.00

Plus Apify platform usage (compute + proxy).

Integrations

Export data directly to:

• Google Sheets — Automatic sync for price tracking dashboards
• Webhooks — Trigger alerts on new data
• API — Access datasets programmatically via the Apify API
• Zapier / Make — Connect to 5,000+ apps for automated workflows
• Slack / Discord — Get notified of price drops and new releases

Limitations

• StockX uses aggressive anti-bot measures (Cloudflare, rate limiting). Residential proxies are strongly recommended.
• Historical price charts and graphs are not extractable (they are rendered client-side).
• Real-time bid/ask data may have a slight delay depending on caching.
• Some product pages may have limited data if StockX changes their page structure.

Legal Disclaimer

This actor is provided for educational and research purposes. Users are responsible for ensuring their use of this tool complies with StockX's Terms of Service and all applicable laws and regulations. The authors are not responsible for any misuse of this tool.

Support

• Issues: Report bugs or request features on the actor's Issues page
• Updates: The actor is regularly updated to handle StockX page structure changes
• Documentation: See the Apify documentation for general platform usage

Changelog

v1.0.0 (2026-03-02)

• Initial release
• Search and detail page scraping
• 6 extraction strategies with automatic fallback
• PPE pricing at $0.005/product
• Category filtering and sort options
• Size-specific pricing data
• Deduplication and pagination support

Related Actors

• Poshmark Scraper — Fashion reselling
• eBay Scraper — eBay listings
• Amazon Product Scraper — Retail comparison
• Price Comparison Engine — Multi-marketplace monitoring
• Walmart Scraper — Retail pricing