Scrape Wayfair Products — Furniture Prices, Ratings & Deals

Scrape product listings from Wayfair.com, the leading online destination for furniture and home goods. Extract detailed product data including prices, sale discounts, star ratings, review counts, brand names, dimensions, materials, shipping info, and more.

Whether you are tracking furniture prices, researching competitor listings, building product comparison tools, or monitoring clearance deals, this actor delivers structured data directly from Wayfair search results.

Features

• Search-based scraping — Enter any keyword to scrape matching Wayfair product listings.
• Price tracking — Captures current price, original/was price, and discount percentage.
• Ratings and reviews — Extracts star ratings and total review counts for each product.
• Product details — Collects brand name, dimensions, and material information when displayed.
• Sale and clearance detection — Identifies products with sale or clearance badges.
• Shipping status — Detects free shipping badges on qualifying items.
• Image and URL capture — Grabs product image URLs and direct links to product pages.
• Automatic pagination — Follows next-page links until the max results limit is reached.
• Anti-blocking measures — Realistic browser fingerprint, randomized delays, and Puppeteer stealth techniques.

Input Parameters

Parameter	Type	Required	Default	Description
searchQuery	String	Yes	—	Keyword to search on Wayfair (e.g., "sectional sofa", "dining table", "patio furniture")
maxResults	Integer	No	50	Maximum number of products to return (1–500)

Example Input

{
    "searchQuery": "mid century modern desk",
    "maxResults": 100
}

Output Fields

Each scraped product contains the following fields:

Field	Type	Description
name	String	Full product name/title
currentPrice	String	Current listed price (e.g., "$349.99")
originalPrice	String	Original or "was" price before discount
discountPercentage	String	Discount percentage if on sale
rating	String	Star rating (e.g., "4.5")
reviewCount	String	Number of customer reviews
brand	String	Brand or manufacturer name
dimensions	String	Product dimensions if displayed
material	String	Primary material or fabric
freeShipping	Boolean	Whether free shipping is offered
imageUrl	String	URL of the product image
productUrl	String	Direct link to the Wayfair product page
saleBadge	String	Sale or clearance badge text
searchQuery	String	The search query used
scrapedAt	String	ISO timestamp of when the data was collected
sourceUrl	String	The search results page URL

Example Output

{
    "name": "Kerley 84'' Upholstered Sofa",
    "currentPrice": "$429.99",
    "originalPrice": "$689.00",
    "discountPercentage": "38% off",
    "rating": "4.6",
    "reviewCount": "2,341",
    "brand": "Mercury Row",
    "dimensions": "84\" W x 35\" D x 33\" H",
    "material": "Polyester Blend",
    "freeShipping": true,
    "imageUrl": "https://secure.img1-cg.wfcdn.com/im/12345/resize-h800-w800...",
    "productUrl": "https://www.wayfair.com/furniture/pdp/kerley-84-upholstered-sofa-mcrw1234.html",
    "saleBadge": "Sale",
    "searchQuery": "sofa",
    "scrapedAt": "2025-01-15T10:30:00.000Z",
    "sourceUrl": "https://www.wayfair.com/keyword.php?keyword=sofa"
}

Use Cases

• Price monitoring — Track furniture prices over time to catch the best deals and seasonal sales.
• Competitor analysis — Compare product assortments, pricing strategies, and discount patterns.
• Market research — Analyze ratings, review volumes, and brand popularity across product categories.
• Product catalog building — Aggregate product data for comparison shopping sites or affiliate marketing.
• Inventory intelligence — Monitor product availability, new arrivals, and clearance items.
• Interior design sourcing — Quickly compile options with dimensions and materials for design projects.

Tips

• Start with a smaller maxResults value (10–20) for testing before running large scrapes.
• Use specific search queries for more relevant results (e.g., "leather recliner" instead of just "chair").
• Wayfair frequently runs sales events — schedule recurring runs to capture price changes over time.
• Combine with the Apify scheduling feature to automate daily or weekly price tracking.

Legal Disclaimer

This actor is intended for personal use and research purposes. Always review and comply with Wayfair's Terms of Service before scraping. Use responsibly and respect rate limits.

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