Zappos Scraper

Scrape product listings from Zappos.com (Amazon-owned shoes & fashion marketplace). Returns structured product data including prices, ratings, reviews, brands, inventory status, sale info, and images.

Features

• 100 products per page — Zappos returns 100 results per search page
• Rich product data — brand, name, price, original price, discount %, sale status, rating, reviews, inventory count, color, gender, product type
• Client-side filters — filter by brand, price range, or sale-only items
• Pagination — automatically pages through results up to your maxResults limit
• High-resolution images — full product image URLs from Amazon CDN

Input

Field	Type	Default	Description
query	string	"running shoes"	Search term
maxResults	integer	100	Max products to return (1-1000)
brand	string		Filter by brand name (case-insensitive)
minPrice	number		Minimum price filter
maxPrice	number		Maximum price filter
onSaleOnly	boolean	false	Only return sale items
proxyConfiguration	object		Optional proxy

Output

Each product includes:

{
    "productId": "10015354",
    "styleId": "6584829",
    "colorId": 13797,
    "brandName": "Nike",
    "productName": "Air Zoom Pegasus 40",
    "price": "$129.99",
    "priceNum": 129.99,
    "originalPrice": "$159.99",
    "originalPriceNum": 159.99,
    "percentOff": "19%",
    "onSale": true,
    "rating": 4.5,
    "reviewCount": 238,
    "color": "Black/White",
    "styleColor": "Black/White",
    "productType": "Shoes",
    "gender": "Men",
    "onHand": 42,
    "isNew": false,
    "isLowStock": false,
    "badges": [],
    "imageUrl": "https://m.media-amazon.com/images/I/...",
    "url": "https://www.zappos.com/p/nike-air-zoom-pegasus-40/product/...",
    "searchQuery": "running shoes",
    "scrapedAt": "2026-04-25T12:00:00.000Z"
}

How It Works

1. Fetches the Zappos search page for your query
2. Extracts the window.__INITIAL_STATE__ JSON embedded in the server-rendered HTML
3. Parses the product list (100 per page) from the state object
4. Applies any client-side filters (brand, price, sale)
5. Paginates until maxResults is reached or no more results
6. Pushes all results to the Apify dataset

Use Cases

• Price monitoring — track shoe/fashion prices over time
• Brand analysis — compare product counts, ratings, pricing across brands
• Sale tracking — find the best deals with onSaleOnly filter
• Inventory monitoring — track stock levels via onHand field
• Market research — analyze product categories, pricing distributions, review sentiment