Web Scraping with Python

Steps of web scraping
  • BeautifulSoup : BeautifulSoup is a Python tool that allows you to parse HTML and XML texts. It generates parse trees, which are useful for quickly extracting information.
  • Pandas: Pandas is a library that may be used to manipulate and analyse data. It is customary to extract data and save it in the desired format.
  • Requests :The requests module allows you to use Python to send HTTP requests. The response data from an HTTP request is returned as a Response Object (content, encoding, status, etc).
  1. First find the URL or website you want to scrap
import requests
from bs4 import BeautifulSoup
import pandas as pd
response = requests.get(url)
htmlcontent = response.content
soup = BeautifulSoup(htmlcontent,"html.parser")
for a in soup.findAll('a', attrs={'class':'_1fQZEK'}):
price=a.find('div',attrs={'class':'_30jeq3 _1_WHN1'})
for i in prices:
df = pd.DataFrame({'Product Name':products,'Prices':final})
Final Output




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