🐐 GOAT Product Scraper

Want to track sneakers, apparel, and collectibles on GOAT without clicking through endless pages? This scraper makes it easy!

Pick a Category, Collection, or Brand, set how many products you want, and get clean product data — titles, brands, prices, images, and links — ready to export as CSV, Excel, or JSON (up to 800 items per run).

💡 Perfect for...

• Sneakerheads & shoppers: Monitor Just Dropped, Most Wanted, or your favorite brands for new listings and price moves.
• Resellers & inventory hunters: Build watchlists by brand or category and compare market lows vs. retail.
• Market researchers: Analyze what’s trending across footwear, apparel, bags, jewelry, and collectibles.
• Data analysts: Download structured product data for dashboards, pricing models, or competitor tracking.
• 🤖 AI Agents: Feed agents live GOAT listings for alerts and workflows.

✨ Why you'll love this scraper

• 🧭 Browse your way: Start from a Category, a curated Collection, or a specific Brand — just like shopping on GOAT.
• 🏷️ Rich product cards: Capture title, brand, product type, stock status, lowest price, retail price, image, and release date when available.
• 👟 Popular picks built in: Sneakers, Apparel, Just Dropped, Most Wanted, Nike, Air Jordan, adidas, and many more.
• ✍️ Custom brands welcome: Type any brand name if it’s not in the suggested list.

📦 What's inside the data?

For every product, you will get:

• Core Details: id, title, url, brand, product_type, category, gender, silhouette
• Availability & Pricing: in_stock, under_retail, lowest_price, retail_price, currency
• Media & Timing: image_url, release_date, season_year
• Extras: tags, activities
• Your selection: browse_by, selection

🗂️ Browse options

1. Choose Browse by: Category, Collection, or Brand
2. Fill the matching field (only the one that matches your Browse by choice is used)

🚀 Quick start

1. Open the Actor Input tab.
2. Set Browse by to Category, Collection, or Brand.
3. Select the matching Category, Collection, or Brand.
4. Set Max items (up to 800).
5. Click Start and export CSV, Excel, or JSON when done.

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Input & output examples

Input Example (Category):

{
  "browse_by": "Category",
  "category": "Sneakers",
  "max_items": 100
}

Output Example:

{
  "id": "1711594",
  "title": "Air Jordan 5 Retro 'Black Carolina / UNC' 2026",
  "url": "https://www.goat.com/sneakers/air-jordan-5-retro-black-university-blue-2026-dd0587-008",
  "brand": "Air Jordan",
  "product_type": "sneakers",
  "lowest_price": 226.0,
  "retail_price": 194.0,
  "currency": "EUR",
  "in_stock": true
}

Input reference

Parameter	Type	Required	Description
browse_by	string	Yes	Category, Collection, or Brand.
category	string	When browse_by is Category	GOAT category (e.g. Sneakers, Apparel).
collection	string	When browse_by is Collection	GOAT collection (e.g. Just Dropped).
brand	string	When browse_by is Brand	Brand name (e.g. Nike, Air Jordan).
max_items	integer	No	Max products to scrape (12–800, default: 100).