Wayfair Scraper 2022: How to Scrape Wayfair Product Data with Python

Are you looking for the best web scraper to use for extracting data from Wayfair website? Then stick around as you will discover some of the best web scrapers for Wayfair and how to develop a custom one if you have coding skills.

Data has become the new gold in today’s world where making informed decisions require access to the right data. If you are interested in price and review data of home furniture and other home goods, then the Wayfair website is one of the platforms where you can get accurate data from.

The Wayfair online store is one of the popular e-commerce stores for furniture and home goods. This store has over 24 million items listed from 11K global suppliers. With this amount of product catalog,  it is wise to say that the home furniture you want to extract its product, price, and review data is available on Wayfair. However, extracting the data is not as easy as you think.

Manual data extraction is only possible when you want to extract from only a few pages. As the number of pages of interest on Wayfair increases, it becomes difficult and could become impossible to manually collect data from as it becomes time-consuming, boring, and error-prone.

However, with the help of Wayfair scrapers,  you can automate the process, scraping thousands and even millions of price data from Wayfair in a short period of time.

In this article, we would be recommending some of the best already-made Wayfair scrapers in the market for you to use. We would also be providing a guide to coders on how to develop a custom scraper for Wayfair.

Wayfair Scraping

Wayfair Scraping Overview

Wayfair scraping is the process of using computer programs known as web scrapers or more specifically, Wayfair scrapers to automatically extract data on Wayfair web pages. This could be price data of items on sale for price monitoring systems, review data for review analysis, and even product data and description.

Scraping is the best method for collecting product data and other available data on the Wayfair website since the platform does not provide any data API which the public can use to access its data. The scraping process is simple – the web scraper mimics regular browsers, request for the page with the data present, get it downloaded, and parse out the required content.

However, scraping Wayfair is not as easy as it seems. This is because Wayfair does not support automated access especially for collecting data from its website and as such, it does have anti-scraping techniques in place to discourage and prevent scraping of its content. You will need to bypass the anti-scraping systems in other to succeed in scraping its content.

Interestingly, even though Wayfair does not support the scraping of its content, doing so is not illegal provided the data you are scraping is publicly available and your action didn’t hurt their website. All you have to think of is how to bypass the anti-spam system. For those that would be using already-made scrapers, they have little to worry about in this regard but if you are developing from scrape, then you will have to take care of this from the ground-up.

How to Scrape Wayfair Price and Product Data Using Python

Scrape Wayfair Price and Product Data Using Python

This section has been written for those with coding skills. If you are not a coder, you are better off going to the next section where we recommend already-made web scrapers you can use to scrape Wayfair.

As a coder, developing a custom Wayfair can be easy depending on your expertise. You can use any programming language to code a Wayfair scraper. However, web scrapers especially simple ones are mostly developed using Python because of the many libraries and framework available that makes scraping easy for Python developers. The language itself is also easy to pick up and master when compared to other languages.

For scraping all of Wayfair’s product data, you will need to use the Selenium Web Driver. Selenium is a browser automator that you can use to automate your tasks online including web scraping. You can read the official Selenium documentation for Python here. Selenium is the tool for the job because some parts of the Wayfair product page would not load without Javascript execution and rendering. This is the product overview section that houses the product details and review tabs, among others.

If all you want to extract is the product name, seller, price, average rating, and number of reviews, then you will not need Selenium. The better alternative is to use the duo of Requests and Beautifulsoup as they are faster and easier to use and debug – the reason you can’t use them for scraping all of the Wayfair data is that they do not render Javascript.

As stated from the overview section of the article, Wayfair does not allow the scraping of it content and would block you if it suspects you are using a web scraper on its platform. Unfortunately, except you try to hide the footprint of your web scraper, it is very easy to identify them because of the too many requests they send within a short period of time that is unusual for humans. The best way to hide this footprint is by using rotating residential proxies that will change your IP address frequently so your requests will not have the same IP footprint.

We recommend you buy these proxies from premium providers with tested and trusted proxies such as Bright Data, Smartproxy, and Soax.

Other measures you need to implement to avoid getting detected and blocked include rotating user agent, setting referer header, and seeing random delays between requests.

  • Sample Code for Scraping Wayfair Product Data

To put the above into practice, we would be providing you a basic script below that scrapes the product name, price, seller, and rating of a product you provide it URL. Because the data of interest do not require Javascript rendering, we would be using Beautifulsoup and Requests.

The code is quite basic and provided as a proof of concept. It does not integrate any anti-scraping bypass feature and does not handle exceptions.

import requests

from bs4 import BeautifulSoup

class WayfairScraper:

 def __init__(self, url):

      self.url = url

      self.properties = []

   def scrape_details(self):

       headers = {



           'accept-encoding': 'gzip, deflate, br',

           'accept-language': 'en-US,en;q=0.8',

           'upgrade-insecure-requests': '1',

           'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'


       content = requests.get(self.url, headers=headers)

       soup = BeautifulSoup(content.text, "html.parser")

       name = soup.find_all("h1", {"class": "pl-Heading--pageTitle"})[0].text

       rating = soup.find("span", {"class": "ProductRatingNumberWithCount-rating"}).text

       price = soup.find("span", {"class": "pl-Price-V2"}).text.replace("$", "")

       return {

           "name": name,

           "rating": rating,

           "price": price


x = WayfairScraper("https://www.wayfair.com/bed-bath/pdp/trent-austin-design-oliver-comforter-set-w005483620.html")


Best Wayfair scrapers

It was only in the past that you require coding knowledge to scrape data from the Internet. Now with the advent of already-made scrapers developed for non-coders, you can scrape any website without writing a single line of code. In this section of the article, we would be recommending some of the best already-made scrapers for non-coders to use for scraping Wayfair.



  • Pricing: Starts at $75 per month
  • Free Trials: 14 days of free trial with limitations
  • Data Output Format: CSV, Excel, JSON, MySQL, SQLServer
  • Supported Platform: Cloud, Desktop 

Octoparse Best Scrapers

Octoparse is one of the best web scrapers you can use to scrape Wayfair for product data such as review, description, and pricing. This web scraper does not require you to write a single line of code. It is a visual web scraper that provides you with an easy-to-use interface for identifying data of interest on a page. This tool is quite powerful and made for the modern web.

So, it is not only useful for scraping Wayfair, you can use it to scrape all kinds of websites including heavily Ajaxified websites. This tool comes with advanced features including IP rotation, cloud scraping, and scheduled scraping, among others. Octoparse is not a free tool but as a new user, you can use it for the first 14 days for free.


Scrapestorm Logo

  • Pricing: Starts at $49.99 per month
  • Free Trials: Starter plan is free – comes with limitations
  • Data Output Format: TXT, CSV, Excel, JSON, MySQL, Google Sheets, etc.
  • Supported Platforms: Desktop, Cloud

Scrapestorm Overview The ScrapeStorn scraper is another Wayfair scraper that you can use out of the box without coding. One thing you will come to like about ScrapeStorm is that it is an AI-powered web scraper and has support for automatically identifying data of interest on a page, reducing manual operation from your end. Even with that, it still does come with a point-and-click interface.

ScrapeStorm was developed by an ex-Google crawler team and as such, you can be assured of a product built by a team knowledgeable about crawlers. It is one of the most advanced visual scrapers in the market and comes with support for Windows, Mac, and Linux. It has the best support for data export format in the market and does come with a free trial too.


Parsehub Logo

  • Pricing: Free with a paid plan
  • Free Trials: Free – advance features come at an extra cost
  • Data Output Format: Excel, JSON,
  • Supported Platform: Cloud, Desktop

Parsehub Homepage

The above tools only provide you with free trials. If you are looking for a Wayfair scraper that you can use for free without paying, then the ParseHub scraping tool is the tool for you. However, even though it is being marketed as a free web scraper, it does have a paid tier with advanced features. ParseHub is a generic web scraper that has support for scraping product data and review data from ParseHub.

You can convert a huge list of Wayfair products into a spreadsheet with the required information. All you need to do is install the desktop application, access the website, use the point and click interface to identify the data, and carry out the scraping task.

WebScraper.io Extension

webscraper io

  • Pricing: Freemium
  • Free Trials: Freemium
  • Data Output Format: CSV, XLSX, and JSON
  • Supported Platform: Browser extension (Chrome and Firefox)

webscraper overview

The above are all installable software on your desktop. If you want to use a browser extension, then the WebScraper.io extension is the tool for you. WebScraper.io has the mission of making web scraping accessible and affordable to everyone and it does this by providing its Chrome extension for free. This Chrome extension has already been used by over 400k users, making it one of the popular web scrapers out there.

Interestingly, it is free to use except you want ti opt-in for their cloud scraper. The extension has been developed for the modern web and has a modular selector system that makes it possible to tailoring data extraction to different sites. Scraped data can be exported in CSV, JSON, and Excel format.

Helium Scraper

Helium Scraper Logo

  • Pricing: Starts at a $99 one-time purchase
  • Free Trials: 10 days free
  • Data Output Format: CSV, Excel, JSON, SQLite, etc.
  • Supported Platforms: Desktop

Helium Scraper Overview

Last on our list of best web scrapers for scraping Wayfair is the Helium Scraper software. This software comes with an intuitive point-and-click interface that even a beginner would understand. Just like the other web scrapers described above, it does not require coding and can be used by those without coding knowledge.

One thing you will come to like about Helium Scraper is its pricing system – it does not have any recurring payment – just pay ones and use it forever. You can use it to capture complex data from the Internet and has the ability to scale up and scrape any amount of data you want to scrape from Wayfair. It is very fast and comes with some advanced features including API support, multiple export formats, table, and list detection, as well as scraping scheduling, among others.


From the above, you can see that there are a good number of options available to you as far as scraping Wayfair is concerned even without having a coding skill. One thing you need to know is that all of the web scrapers described above do not provide you with proxies for hiding your IP footprint.

You will need to integrate proxies yourself from the configuration area of each web scraper. Some of the best providers to buy proxies from for scraping Wayfair include Bright Data, Smartproxy, and Soax.

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