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Web scraping is the process of extracting data from websites. BeautifulSoup is a powerful Python library that simplifies web scraping by parsing HTML and XML documents. It allows you to navigate, search, and modify the parse tree, making it easier to extract the information you need.
Setting Up Your Environment
Before you start web scraping, you need to set up your environment. First, install Python and create a virtual environment to keep your project dependencies isolated. Then, install the necessary libraries using pip:
pip install requestspip install beautifulsoup4Fetching HTML Content
To scrape a website, you first need to fetch its HTML content. You can use the requests library to send an HTTP request to the website and retrieve the HTML:
import requestsURL = "https://example.com"response = requests.get(URL)if response.status_code == 200:html_content = response.textelse:print(f"Failed to retrieve the webpage. Status code: {response.status_code}")Parsing HTML with BeautifulSoup
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- Using Jupyter Notebook, you should start by importing the necessary modules (pandas, numpy, matplotlib.pyplot, seaborn). If you don't have Jupyter Notebook installed, I recommend installing it using the Anaconda Python distribution which is available on the internet. To easily display the plots, make sure to include the line %matplotlib inline as s...
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