Scrape Nordstrom Products -- Fashion Prices, Brands & Sale Data

What does Nordstrom Product Scraper do?

This Apify actor scrapes product listings from Nordstrom.com, one of the largest luxury and fashion department stores in the United States. It extracts structured data from search results including pricing, brand details, sale information, customer ratings, and product imagery.

Use it for fashion market research, competitive price monitoring, trend analysis, and building product catalogs from Nordstrom's vast inventory.

Features

• Search any product category or keyword on Nordstrom.com
• Extract current and original prices with sale percentage calculations
• Capture brand names, product titles, and department categories
• Collect customer ratings (star count) and review counts
• Detect available color variants
• Grab high-resolution product image URLs
• Automatic pagination to collect large result sets
• Built-in anti-detection with realistic browser fingerprints
• Configurable result limits to control costs

Input Parameters

Parameter	Type	Required	Default	Description
searchQuery	String	Yes	"women dresses"	Search term to look for on Nordstrom
maxResults	Integer	No	50	Maximum number of products to scrape (1-1000)

Example Input

{
    "searchQuery": "nike running shoes",
    "maxResults": 100
}

Output Dataset Fields

Field	Type	Description
name	String	Full product name/title
brand	String	Brand name (e.g., Nike, Gucci, Free People)
currentPrice	String	Current listed price (sale price if on sale)
originalPrice	String	Original price before discount (null if not on sale)
salePercentage	String	Discount percentage (e.g., "40%")
rating	Number	Customer rating out of 5 stars
reviewCount	Number	Total number of customer reviews
availableColors	Number	Number of color options available
imageUrl	String	URL to the product image
productUrl	String	Direct link to the product page on Nordstrom
category	String	Product department or category
searchQuery	String	The search query that produced this result
scrapedAt	String	ISO 8601 timestamp of when the data was scraped
sourceUrl	String	The search results page URL this product was found on

Example Output

{
    "name": "Air Max 90 Sneaker",
    "brand": "Nike",
    "currentPrice": "$89.97",
    "originalPrice": "$130.00",
    "salePercentage": "40%",
    "rating": 4.5,
    "reviewCount": 237,
    "availableColors": 6,
    "imageUrl": "https://n.nordstrommedia.com/id/sr3/abc123.jpeg",
    "productUrl": "https://www.nordstrom.com/s/nike-air-max-90-sneaker/12345678",
    "category": "Shoes",
    "searchQuery": "nike running shoes",
    "scrapedAt": "2025-01-15T10:30:00.000Z",
    "sourceUrl": "https://www.nordstrom.com/sr?origin=keywordsearch&keyword=nike+running+shoes"
}

Use Cases

• Fashion Price Monitoring -- Track price changes and sale events across brands and categories
• Competitive Analysis -- Compare pricing strategies between Nordstrom and other retailers
• Trend Research -- Analyze which brands, styles, and categories are trending based on ratings and reviews
• Product Catalog Building -- Build structured databases of fashion products with images and metadata
• Sale Detection -- Monitor for markdowns and clearance events on specific products or brands
• Brand Intelligence -- Understand brand positioning and pricing tiers at a major luxury retailer

Search Query Examples

Query	Description
"women dresses"	All women's dresses
"nike shoes"	Nike footwear
"men suits"	Men's suits and formalwear
"handbags sale"	Handbags currently on sale
"cashmere sweater"	Cashmere sweaters across all brands
"kids winter jackets"	Children's winter outerwear

Technical Details

• Built with Puppeteer for full browser rendering of Nordstrom's dynamic content
• Uses Crawlee framework for robust request handling and retry logic
• Headless Chrome with anti-detection measures
• Automatic scrolling to trigger lazy-loaded product cards
• Sleep delays between pages to respect rate limits
• Failed requests are logged with error details in the output dataset

Limitations

• Nordstrom may update their page structure, which could require selector updates
• Very high volumes may trigger rate limiting
• Some product details (sizes, full descriptions) require visiting individual product pages
• Results depend on Nordstrom's search algorithm and regional availability

Author

donnycodesdefi

License

ISC