Scraping Wayfair Products with Python and Beautiful Soup?

Introduction

In this blog, we will show you how we Extract Wayfair product utilizing BeautifulSoup and Python in an elegant and simple manner.

This blog targets your needs to start on a practical problem resolving while possession it very modest, so you need to get practical and familiar outcomes fast as likely.

So the main thing you need to check that we have installed Python 3. If don’t, you need to install Python 3 before you get started.

pip3 install beautifulsoup4

We also require the library's lxml, soupsieve, and requests to collect information, fail to XML, and utilize CSS selectors. Mount them utilizing.

pip3 install requests soupsieve lxml

When installed, you need to open the type in and editor.

# -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
import requests

Now go to Wayfair page inspect and listing page the details we can need.

It will look like this.

Let’s get back to the code. Let's attempt and need data by imagining we are a browser like this.

# -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
import requests
 
headers = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'}
url = 'https://www.wayfair.com/rugs/sb0/area-rugs-c215386.html'
 
response=requests.get(url,headers=headers)
 
 
soup=BeautifulSoup(response.content,'lxml')

Save scraper as scrapeWayfais.py

If you route it

python3 scrapeWayfair.py

The entire HTML page will display.

Now, let's utilize CSS selectors to acquire the data you need. To peruse that, you need to get back to Chrome and review the tool.

We observe all the separate product details are checked with the period ProductCard-container. We scrape this through the CSS selector '.ProductCard-container' effortlessly. So here you can see how the code will appear like.

# -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
import requests
 
headers = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'}
url = 'https://www.wayfair.com/rugs/sb0/area-rugs-c215386.html'
 
response=requests.get(url,headers=headers)
 
 
soup=BeautifulSoup(response.content,'lxml')
 
 
for item in soup.select('.ProductCard-container'):
  try:
    print('----------------------------------------')
    print(item)
 
 
 
  except Exception as e:
    #raise e
    print('')

This will print out all the substance in all the fundamentals that contain the product information.

We can prefer out periods inside these file that comprise the information we require. We observe that the heading is inside a

# -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
import requests
 
headers = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'}
url = 'https://www.wayfair.com/rugs/sb0/area-rugs-c215386.html'
 
response=requests.get(url,headers=headers)
 
 
soup=BeautifulSoup(response.content,'lxml')
 
 
for item in soup.select('.ProductCard-container'):
  try:
    print('----------------------------------------')
    #print(item)
 
    print(item.select('.ProductCard-name')[0].get_text().strip())
    print(item.select('.ProductCard-price--listPrice')[0].get_text().strip())
    print(item.select('.ProductCard-price')[0].get_text().strip())
    print(item.select('.pl-ReviewStars-reviews')[0].get_text().strip())
    print(item.select('.pl-VisuallyHidden')[2].get_text().strip())
    print(item.select('.pl-FluidImage-image')[0]['src'])
 
 
  except Exception as e:
    #raise e
    print('')

If you route it, it will publish all the information.

Yeah!! We got everything.

If you need to utilize this in creation and need to scale millions of links, after that you need to find out that you will need IP blocked effortlessly by Wayfair. In such case, utilizing a revolving service proxy to replace IPs is required. You can utilize advantages like API Proxies to mount your calls via pool of thousands of inhabited proxies.

If you need to measure the scraping speed and don’t need to fix up infrastructure, you will be able to utilize our Cloud-base scraper RetailGators.com to effortlessly crawl millions of URLs quickly from our system.

If you are looking for the best Scraping Wayfair Products with Python and Beautiful Soup, then you can contact RetailGators for all your queries.