GOAT Sneaker Prices & Per-Size Market Scraper avatar

GOAT Sneaker Prices & Per-Size Market Scraper

Pricing

from $2.70 / 1,000 products

Go to Apify Store
GOAT Sneaker Prices & Per-Size Market Scraper

GOAT Sneaker Prices & Per-Size Market Scraper

Search GOAT or paste goat.com URLs and get lowest ask, instant-ship price, retail price and resale premium per product - plus every size's lowest ask, last sold price and stock. Gets past GOAT's Cloudflare block via a managed unblocker; no login.

Pricing

from $2.70 / 1,000 products

Rating

0.0

(0)

Developer

Malek Oweis

Malek Oweis

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

Share

GOAT blocks scrapers. It sits behind Cloudflare and returns a 403 to any normal request, which is why the GOAT Actors on the store have only a handful of users.

This one gets through. Every request goes through a managed unblocker, and the data comes from the same public calls goat.com makes in your browser. No login, no API key, no captcha setup from you.

Search GOAT or paste goat.com URLs and get one row per product with prices, plus every size's own market:

What you get per product

FieldMeaning
title, brand, silhouette, category, productType, genderProduct identity
productUrl, slug, productId, imageUrlDirect GOAT link, IDs and image
retailPriceOriginal retail price
lowestPriceLowest ask across all sizes
instantShipLowestPriceLowest ask for GOAT Instant Ship (already in GOAT's warehouse)
premiumVsRetailPctLowest ask vs retail. 13.8 = 13.8% above retail, -40 = 40% below
underRetail, inStockGOAT's own flags
releaseDateRelease date
sizesPer-size list: size, lowestAsk, instantShipAsk, lastSold, inStock
cheapestSize / cheapestSizeAskThe size you can buy cheapest right now
priciestSize / priciestSizeAskThe size that commands the most
avgLastSold, minLastSold, maxLastSoldLast sold prices across sizes
sizesListed, sizesInStockHow many sizes exist and how many have stock

Product URLs also return sku, colorway and nickname.

Input

{
"queries": ["jordan 4 black cat", "nike dunk low panda"],
"urls": ["https://www.goat.com/sneakers/air-jordan-4-retro-black-cat-2025-fv5029-010"],
"maxProductsPerInput": 20,
"includeSizePrices": true,
"sizeCondition": "new"
}
  • queries: keywords to search. Each is searched and paginated.
  • urls: goat.com search URLs (/search?query=...), collection URLs (/collections/...) or product URLs (/sneakers/..., /apparel/..., /bags/..., /jewelry/..., /collectibles/...).
  • maxProductsPerInput: stop after this many products per query/URL. 0 = no limit.
  • includeSizePrices: per-size prices (default on). Turn off for a faster, product-level-only run.
  • sizeCondition: new = brand-new shoes in a good box (default). all = also used, defective and damaged-box listings, each labelled with shoeCondition and boxCondition.
  • countryCode: country for per-size prices (default US).
  • proxyConfiguration: defaults to Apify Unblocker, which is required.

Output

One dataset row per product, plus a SEARCH_SUMMARY key-value record per query/URL with productsScraped, avgLowestPrice, avgPremiumVsRetailPct, underRetailCount and the highest-premium product.

Example row (trimmed)

{
"source": "jordan 4 black cat",
"productId": "1567309",
"title": "Air Jordan 4 Retro 'Black Cat' 2025",
"brand": "Air Jordan",
"silhouette": "Air Jordan 4",
"releaseDate": "2025-11-28",
"productUrl": "https://www.goat.com/sneakers/air-jordan-4-retro-black-cat-2025-fv5029-010",
"currency": "USD",
"retailPrice": 225,
"lowestPrice": 256,
"instantShipLowestPrice": 294,
"premiumVsRetailPct": 13.8,
"underRetail": false,
"inStock": true,
"sizes": [
{ "size": "7", "lowestAsk": 449, "instantShipAsk": 483, "lastSold": 445, "inStock": true },
{ "size": "10", "lowestAsk": 310, "instantShipAsk": null, "lastSold": 299, "inStock": true }
],
"cheapestSize": "10",
"cheapestSizeAsk": 310,
"avgLastSold": 372,
"sizesInStock": 2
}

Use cases

  • Size-level arbitrage: compare lowestAsk vs lastSold per size to find sizes listed below what they actually sell for
  • Cross-platform price checks: pair it with a StockX scraper to buy on one marketplace and sell on the other
  • Sourcing research: rank a search by premiumVsRetailPct to see what resells above retail
  • Inventory pricing: price your own pairs off the current lowest ask and last sale for that exact size
  • Price tracking: schedule daily and diff lowestPrice / cheapestSizeAsk to catch drops

FAQ

Why do other GOAT scrapers break? GOAT is behind Cloudflare. A normal request gets a 403. This Actor routes through a managed unblocker, so it reads the same data the site loads for a real visitor.

Do I need a proxy or captcha solver? No. The unblocker is the default and handles it.

Which market are the prices for? The US market, in US dollars. GOAT localizes prices by visitor country, so a goat.com page opened from another country can show different numbers.

Is this allowed? It reads only public product and search data, the same any visitor sees. It never logs in and never touches account, order or buyer data. Respect GOAT's terms and your local laws.

Use it from an AI agent (Claude, ChatGPT, Cursor, any MCP client)

This Actor works as a tool for AI agents through Apify's MCP server. Add it to your AI app with this MCP URL:

https://mcp.apify.com/?tools=malek_oweis/goat-sneaker-price-scraper

Then just ask in plain language. Example prompt:

Search GOAT for 'jordan 4 black cat' and show the lowest ask and last sold price for every size from 8 to 12.

Questions this Actor answers

  • What does the Jordan 4 cost on GOAT in my size?
  • Which sizes of this sneaker are cheapest, and which sold last for the most?
  • What is the resale premium of this shoe on GOAT compared with retail?
  • Compare GOAT and StockX prices for the same sneaker.
  • Which shoe sizes are out of stock on GOAT?

Free sample dataset

Want to see real output before running it? A free sample collected with this Actor (October 2026) is published on Hugging Face and GitHub, as CSV and JSONL, together with samples from the other Actors below.

More resale and e-commerce data tools by the same developer