GOAT product data API

The ShopAPIS GOAT product data API returns structured fields for any GOAT listing — pricing split by condition (new, new-with-defects, used), size-level availability, lowest price and offers, style code (SKU), brand, colorway and image set — as clean JSON. GOAT’s defining attribute is condition: unlike a pure order-book, GOAT prices the same sneaker differently for new versus used, with authentication built in. ShopAPIS captures that condition-aware pricing and normalizes it.

GOAT is a leading sneaker, apparel and luxury resale marketplace with estimated $2B+ GMV (ShopAPIS research, June 2026; traffic per Similarweb ). It pairs a large pre-owned inventory with new “deadstock” listings, so the same model can carry several prices keyed to condition and box state. That condition dimension — plus authentication status — is the data that distinguishes GOAT from order-book platforms like StockX.

Why GOAT data is hard to get

GOAT has no official public API, and its condition-keyed pricing only surfaces through the live marketplace. It applies high anti-bot pressure and renders prices, size availability and offers through dynamic authenticated front-end calls. Because price depends on condition (new vs. used vs. new-with-defects) and box state, a single “lowest price” misses the structure buyers actually shop. ShopAPIS resolves the per-condition, per-size offers and returns them in the unified schema.

Data fields returned

• Identifiers — GOAT product template ID / slug, style code (SKU), brand, model, colorway.
• Condition pricing — lowest price by condition (new, new-with-defects, used), box condition.
• Size availability — per-size lowest price and condition options.
• Offers — number of available offers, instant-ship flag, local/used inventory.
• Retail — retail price, release date.
• Authentication — authenticity-verified flag (GOAT verification model).
• Media & category — image set, category (sneakers/apparel/luxury).

Sample response

{
  "platform": "goat",
  "product_slug": "air-jordan-4-retro-military-blue-2024",
  "title": "Air Jordan 4 Retro Military Blue (2024)",
  "brand": "Jordan",
  "style_code": "FV5029-141",
  "colorway": "White/Military Blue-Neutral Grey",
  "retail_price": 215,
  "release_date": "2024-05-04",
  "pricing": {
    "new": { "lowest_price": 268, "currency": "USD", "box_condition": "good_condition" },
    "new_with_defects": { "lowest_price": 241 },
    "used": { "lowest_price": 189 }
  },
  "sizes": [
    { "size": "9", "condition": "new", "lowest_price": 272, "instant_ship": true },
    { "size": "10", "condition": "used", "lowest_price": 195, "instant_ship": false }
  ],
  "offers_count": 134,
  "authenticity_verified": true,
  "images": ["https://image.goat.com/abc.jpg"],
  "category": "sneakers",
  "scraped_at": "2026-06-05T11:42:00Z"
}

Markets & domains covered

• Global — goat.com serves customers worldwide with localized currency.
• Key markets — US, UK, EU, Japan, Australia and Canada.

GOAT runs one global catalog; ShopAPIS returns condition-keyed pricing in the requested currency.

Use cases

• Condition-aware valuation — compare new vs. used pricing for accurate comps. Feeds competitive intelligence.
• Cross-platform resale benchmarking — pair GOAT with StockX for a fuller market view via price monitoring.
• Inventory & availability tracking — per-size, per-condition stock feeds inventory tracking.
• Catalog enrichment — map style codes and colorways into your data with catalog enrichment.

Related

Stats from ShopAPIS market research, June 2026 (@plans/plan2-research/reports/oceania-and-global.md); sources: Extrabux 2025, PlottData 2025.