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    Web scraping is the process of extracting data from websites. Python is a popular choice for web scraping due to its simplicity and the availability of powerful libraries. Here’s a step-by-step guide on how to perform web scraping in Python using the requests and BeautifulSoup libraries.

    Step 1: Install Required Libraries

    First, you need to install the necessary libraries. You can do this using pip:

    pip install requests
    pip install beautifulsoup4

    Step 2: Send an HTTP Request

    Use the requests library to send an HTTP request to the website you want to scrape. This will fetch the HTML content of the page.

    import requests

    url = "https://example.com"
    response = requests.get(url)
    html_content = response.content

    Step 3: Parse HTML Content

    Next, use BeautifulSoup to parse the HTML content. This will allow you to navigate and search the HTML tree.

    from bs4 import BeautifulSoup

    soup = BeautifulSoup(html_content, 'html.parser')

    Step 4: Extract Data

    You can now extract the data you need using various methods provided by BeautifulSoup. For example, to extract the title of the page:

    title = soup.title.text
    print(title)

    To extract all paragraphs:

    paragraphs = soup.find_all('p')
    for p in paragraphs:
    print(p.text)

    To extract specific elements using CSS selectors:

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    Web Scraping Python Tutorial – How to Scrape Data From A Website
    FreeCodecamp
    How to scrape HTML code in Python?
    In the next section, you’ll start grabbing all the HTML code from a single web page. One useful package for web scraping that you can find in Python’s standard library is urllib, which contains tools for working with URLs. In particular, the urllib.request module contains a function called urlopen() that you can use to open a URL within a program.
    realpython.com
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