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How to Scrap a Website Using Requests and BeautifulSoup Modules in Python?

Scrap a Website Using Requests and Beautifulsoup Modules in Python

Condition for Scrap a Website Using Requests and Beautifulsoup Modules in Python

  • Web Scraping: Web scraping is the process of extracting data from websites by parsing the HTML content of web pages.
  • Requests: It is a Python library used to send HTTP requests and retrieve web page content or data from a URL.
  • BeautifulSoup: It is a Python library used for parsing HTML or XML documents and extracting data from them in a structured way.
Step-by-Step Process
  • Web Scraping Process: Send an HTTP request to a website, parse the HTML content, and extract the required data.
  • Requests Process: Use requests.get(url) to send an HTTP request and receive the web page's HTML or data.
  • BeautifulSoup Process: Parse the HTML content using BeautifulSoup and use methods like find() or find_all() to extract specific elements.
Sample Code
  • import requests
    from bs4 import BeautifulSoup
    url = 'https://quotes.toscrape.com/'
    response = requests.get(url)
    if response.status_code == 200:
      print("Request Successful!")
    else:
      print("Failed to retrieve the page")
      exit()
    soup = BeautifulSoup(response.text, 'html.parser')
    quotes = soup.find_all('span', class_='text')
    authors = soup.find_all('small', class_='author')
    for quote, author in zip(quotes, authors):
      print(f"Quote: {quote.text}")
      print(f"Author: {author.text}")
      print("-" * 50)
Screenshots
  • BeautifulSoup Modules