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GOAT Sneaker Marketplace Scraper

Pricing

from $3.00 / 1,000 results

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GOAT Sneaker Marketplace Scraper

GOAT Sneaker Marketplace Scraper

Scrape GOAT (goat.com) the world's largest sneaker and streetwear resale marketplace. Search products, browse by category, fetch individual product details, or get trending items. Get prices, condition, colorways, brand, SKU, and marketplace statistics.

Pricing

from $3.00 / 1,000 results

Rating

5.0

(11)

Developer

Crawler Bros

Crawler Bros

Maintained by Community

Actor stats

11

Bookmarked

1

Total users

0

Monthly active users

5 days ago

Last modified

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Extract product data from GOAT — the world's largest authenticated sneaker and streetwear resale marketplace with millions of listings across shoes, apparel, and accessories.

What data you get

FieldDescription
productIdUnique GOAT product identifier
slugURL slug (e.g. air-jordan-1-retro-high-og-chicago-2015)
nameFull product name
skuStyle ID / SKU (e.g. 575441-101)
brandBrand name (e.g. Jordan Brand, Nike, Adidas)
categoryProduct category (shoes, apparel, accessories)
productTypeSame as category (GOAT nomenclature)
colorwayColorway description
descriptionProduct description
retailPriceOriginal retail price in USD
lowestAskPriceCurrent lowest ask price in USD
highestBidPriceCurrent highest bid price in USD
lastSalePriceLast completed sale price in USD
numberOfAsksNumber of active ask listings
numberOfBidsNumber of active bids
releasedAtOriginal release date (ISO 8601)
isNewWhether the product is new condition
mainPictureUrlProduct image URL
productUrlLink to the GOAT product page
tagsProduct tags (e.g. ["shoes", "retro", "jordan"])
recordTypeAlways "product"
siteNameAlways "GOAT"
scrapedAtISO 8601 timestamp of when the record was scraped

Modes

search (default)

Search products by keyword using GOAT's Algolia-powered search.

{
"mode": "search",
"query": "Air Jordan 1",
"maxItems": 20
}

bySlug

Fetch one or more specific products by their GOAT URL slug.

{
"mode": "bySlug",
"slugs": [
"air-jordan-1-retro-high-og-chicago-2015",
"yeezy-boost-350-v2-zebra"
]
}

byCategory

Browse all products in a category.

{
"mode": "byCategory",
"category": "apparel",
"sort": "newest",
"maxItems": 50
}

Fetch trending/popular products (sorted by popularity).

{
"mode": "trending",
"category": "shoes",
"maxItems": 50
}

Filters

FilterTypeDescription
brandtextfieldSubstring match on brand name (e.g. Nike, Jordan)
categoryselectshoes, apparel, or accessories
conditionselectnew_no_defects, new_with_defects, or used
minPricefloatMinimum lowest-ask price in USD
maxPricefloatMaximum lowest-ask price in USD
sortselectmost_popular, lowest_price, highest_price, newest
maxItemsintegerMaximum records to return (default: 50, max: 1000)

Example: Cheap Nike Dunks under $300

{
"mode": "search",
"query": "Nike Dunk Low",
"brand": "Nike",
"maxPrice": 300,
"sort": "lowest_price",
"maxItems": 25
}

Example: New Yeezy releases

{
"mode": "search",
"query": "Yeezy",
"condition": "new_no_defects",
"sort": "newest",
"maxItems": 50
}

Technical notes

  • Uses GOAT's embedded Algolia search (App ID: 2FWOTDVM2O), which is a public search-only key included in GOAT's app bundle — no auth required.
  • All prices are returned in USD (converted from cents).
  • The bySlug mode uses the GOAT REST API at goat.com/api/v1/product_templates/.

FAQs

Does this require a GOAT account or API key? No. The scraper uses GOAT's public search index (Algolia) which is accessible without authentication.

How accurate are the prices? Prices are live marketplace data reflecting current asks and bids at the time of scraping.

Can I scrape sold/historical listings? The scraper returns active marketplace listings. Historical sale data (lastSalePrice) is included when available from the search index.

What's the maximum number of items I can scrape? Set maxItems up to 1000 per run. Algolia paginates at 20 items per page.

What brands are available? GOAT carries Nike, Jordan Brand, Adidas, Yeezy, New Balance, Puma, Reebok, Converse, Vans, Off-White, Supreme, and hundreds more. Use the brand filter to narrow results.