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    Web scraping is a powerful tool for extracting information from websites. Python, with its rich ecosystem of libraries, provides a variety of options for web scraping. Among these, Beautiful Soup and Scrapy are two of the most popular frameworks for creating web scrapers.

    Using Beautiful Soup for Web Scraping

    Beautiful Soup is a Python library designed for quick turnaround projects like screen-scraping. It offers a simple way to navigate, search, and modify the parse tree of an HTML or XML document.

    Code Example with Beautiful Soup

    Here's a basic example of using Beautiful Soup to scrape data from a static website:

    import requests
    from bs4 import BeautifulSoup

    # Define the URL of the site to scrape
    URL = "https://realpython.github.io/fake-jobs/"
    page = requests.get(URL)

    # Create a Beautiful Soup object and specify the parser
    soup = BeautifulSoup(page.content, "html.parser")

    # Find elements by HTML class name
    job_elements = soup.find_all("div", class_="card-content")

    # Extract and print the text content from HTML elements
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  3. Real Python
    https://realpython.com/beautiful-soup-web-scraper-python

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  4. FreeCodecamp
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  8. Real Python
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  9. ScrapingBee
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  10. Medium
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  12. DataCamp
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  15. Opensource.com
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  24. PyPI
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  25. Real Python
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  26. TutorialsPoint
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