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.

wayfair-screenshot

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

source code: https://www.retailgators.com/scraping-wayfair-products-with-python-and-beautiful-soup.php

If you route it