Wayfair.com is one of the world’s largest online destinations for furniture and home décor. The platform connects millions of shoppers with over 30 million products across the U.S., Canada, Europe, and the U.K. With our Wayfair scraper, you can access valuable insights into product availability, localized pricing, and supplier activity across multiple regions — essential data if you sell, compete, or analyse trends in the home and lifestyle market.
With our Wayfair web scraper, we manage the entire data collection process for you. No tools, APIs, or manual parsing needed — we deliver precisely the datasets you request, whether it’s pricing history, inventory levels, or complete product catalogs.
You receive clean, structured data in CSV, Excel, JSON — or any other format you prefer. Everything arrives ready to use, helping you make faster, more informed decisions without the hassle of technical setups.
Using our Wayfair scraper, we collect detailed product-level data directly from the platform.
Wayfair.com is one of the largest global online retailers for furniture and home décor. Founded in 2002 and headquartered in Boston, Wayfair offers more than 30 million products from over 20,000 suppliers.
The company operates across multiple regions with localized domains: wayfair.com (U.S.), wayfair.ca (Canada), wayfair.co.uk (U.K.), wayfair.de (Germany), and wayfair.ie (Ireland). Supported languages include English and German, while currencies vary by region (USD, CAD, GBP, EUR).
Wayfair also manages several sub-brands — Joss & Main, AllModern, Birch Lane, and Perigold — catering to different style and budget segments, from affordable basics to luxury furniture. Its extensive catalog, strong logistics network, and global reach make Wayfair a leading source of home and lifestyle data.
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Pages extracted
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Customized plans that grow with your data needs.
€199 / one-time
setup fee — included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Using a Wayfair data scraper helps you stay competitive in the fast-moving home and décor market.
Learn how to use web scraping to solve data problems for your organization
If you work in travel tech, an OTA, a hotel chain, or at an airport, you are in a price-and-availability arms race. Fares change by the hour, room inventory disappears in minutes, and competitors test new bundles and ancillaries constantly.
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
At ScrapeIt, we specialise in providing tailored data extraction services for e-commerce and retail platforms. Our company acts as your dedicated data partner, handling the entire process — from setup to delivery.
Using our advanced extractor, we collect exactly the information you need from Wayfair and other marketplaces. You get clean, structured datasets without managing tools, dashboards, or code — just ready-to-use insights.
Yes, we can export exactly the product data you request, filtered to match your needs.
We can refresh product page data as frequently as you need — daily, weekly, or on-demand.
Absolutely. We collect product information based on each country’s catalog, prices, and stock levels.
Yes, we can merge Wayfair datasets with other platforms for a complete market overview.
Not at all. You receive structured datasets ready to analyse without any extra setup.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
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