Wayfair Product Scraper

Wayfair carries a huge catalog of furniture and home goods, and the prices keep moving. Checking them by hand does not scale. Give this scraper a search term like "bookshelf" or a category URL, and it walks the results page by page and hands back a clean row for every product: name, current price, list price, discount, brand, star rating, review count, image link, and the product URL. Run one keyword or a dozen at once, cap how many results you want, and pull the data into a sheet or your own pipeline. No browser, no copy-paste.

What you get

Each product comes back as one tidy row with the same columns every time. Anything Wayfair does not show lands as null, so your output stays rectangular when it hits a spreadsheet or database. The fields split into a few groups:

• Identity — itemName, brandName, sku, searchTerm
• Pricing — currentPrice, listPrice, discountRate, currencyCode
• Reputation — starRating, reviewsTotal
• Details — variantOptions, imageLink, productUrl, categoryPath, descriptionText
• Run metadata — collectedAt

categoryPath and descriptionText fill in only when you switch on Open each product page. Everything else comes straight off the listing cards.

Quick start

1. Open the actor and go to the Input tab.
2. Add one or more terms under Search terms, such as bookshelf, floor lamp, or patio set.
3. Or drop Wayfair category and search pages into Source URLs to scrape them directly.
4. Set Results limit — this is the cap per term or URL, not a total for the run.
5. Flip on Open each product page only when you need descriptions and breadcrumb categories; it adds a request per product.
6. Hit Start, then export as JSON, CSV, Excel, or XML once it finishes.

Search terms and source URLs all run together, so a longer list does not stretch the run time as much as you would expect.

Use cases

• Price tracking — pull a category today, run it again next week, and watch where prices and discounts move.
• Competitor research — see which brands fill a category, where they sit on price, and how their ratings stack up.
• Catalog building — gather products across many categories for a comparison site, a price-alert tool, or an internal catalog.
• Deal hunting — sort by discountRate to surface the steepest markdowns across a whole search.
• Market analysis — read average prices, review volumes, and discount depth for any home-goods niche.
• Content and SEO work — collect product names and descriptions at scale to study naming patterns and keyword use.

Input

Field	Type	Required	Description
searchTerms	array of strings	One of searchTerms or sourceUrls	Words or phrases to look up; each runs as its own Wayfair search.
sourceUrls	array of strings	One of searchTerms or sourceUrls	Wayfair category or search-result pages to scrape directly.
fetchDetailPages	boolean	No	Open each product page for its description and breadcrumb category. Slower. Default false.
resultsLimit	integer	No	Products to keep per search term or source URL. Default 40 (max 1000).
timeoutSeconds	integer	No	Seconds to wait on one request before giving up. Default 75 (max 120).

Example input

{
    "searchTerms": ["bookshelf", "floor lamp"],
    "sourceUrls": [],
    "fetchDetailPages": false,
    "resultsLimit": 40,
    "timeoutSeconds": 75
}

Output

Every product becomes one row, and the columns are the same across the whole dataset. Missing values come back as null rather than disappearing, so the shape stays predictable.

Example output

{
    "itemName": "Reigen Boucle Platform Bed",
    "brandName": "Joss & Main",
    "sku": "W110085069",
    "currentPrice": "$579.00",
    "listPrice": "$899.00",
    "discountRate": "36%",
    "currencyCode": "USD",
    "starRating": 4.72,
    "reviewsTotal": 813,
    "variantOptions": "3 Colors, 3 Sizes",
    "imageLink": "https://assets.wfcdn.com/im/97255953/resize-h500-w500/3382/338242703/Reigen+Boucle+Platform+Bed.jpg",
    "productUrl": "https://www.wayfair.com/furniture/pdp/joss-main-reigen-boucle-platform-bed-w110085069.html",
    "categoryPath": "Furniture > Bedroom Furniture > Beds",
    "descriptionText": null,
    "searchTerm": "bed",
    "collectedAt": "2026-06-30T10:00:00.000000+00:00"
}

Output fields

Field	Type	Description
itemName	string	Product title as it reads on the listing card.
brandName	string	Maker or brand behind the product.
sku	string	Wayfair stock-keeping code, for example W110085069.
currentPrice	string	Price you pay now, with its currency symbol.
listPrice	string	Pre-discount or was-price, when shown.
discountRate	string	Percentage off the list price, such as 62%.
currencyCode	string	Three-letter currency code, for example USD.
starRating	number	Mean customer score on a five-star scale.
reviewsTotal	integer	How many shoppers reviewed the product.
variantOptions	string	Color and size choices on offer.
imageLink	string	URL to the main product photo at 500x500.
productUrl	string	Link to the product page.
categoryPath	string	Breadcrumb category trail; filled when detail pages are on.
descriptionText	string	Short blurb from the product page; filled when detail pages are on.
searchTerm	string	The search word or URL that surfaced this product.
collectedAt	string	ISO 8601 timestamp of when the product was captured.

Tips for best results

• Test small first. Run a single term with resultsLimit at 10 to confirm the columns suit your pipeline before scaling up.
• resultsLimit is per source. Two search terms at a limit of 40 returns up to 80 products, not 40.
• Leave detail pages off unless you need them. categoryPath and descriptionText cost one extra request each, so a run of 50 products can add a few minutes.
• Raise timeoutSeconds for big runs. Wayfair renders each page fully to clear bot checks, so the odd page is slow; 90 to 120 seconds smooths over those.
• Category URLs give cleaner breadcrumbs. Keyword pages sometimes skip the category trail; a category or search URL fills categoryPath more reliably.

How can I use Wayfair product data?

How can I use the Wayfair Product Scraper to track prices over time? Run the same search terms or category URLs on a schedule and keep each export. Compare currentPrice, listPrice, and discountRate between runs to see when items drop, how deep the markdowns go, and which brands discount the most often.

How can I scrape a whole Wayfair category without writing code? Paste the category page into Source URLs, set a resultsLimit, and start the run. The scraper pages through the listing on its own and returns every product as a row, so you get a full category export in JSON, CSV, or Excel with no scripting.

How can I compare Wayfair brands and prices for competitor research? Feed in several search terms that map to a category and look at brandName, currentPrice, starRating, and reviewsTotal side by side. Grouping the rows by brand shows who owns the shelf space, where they price, and how shoppers rate them.

How can I find the biggest Wayfair discounts in a search? Pull a search or category, then sort the export by discountRate. Because every row carries both currentPrice and listPrice, you can rank items by how much is knocked off and surface the deepest deals across the whole result set.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.