Extract list from a Python script in web scraped html page

Title: Extracting Lists from a Web Scraped HTML Page using Python
Introduction:
Web scraping is a powerful technique used to extract information from websites. In this tutorial, we will focus on extracting lists from a web scraped HTML page using Python. We will use the BeautifulSoup library to parse the HTML and navigate through the document structure. Additionally, we'll use the requests library to fetch the HTML content from a web page.
Prerequisites:
Before you start, make sure you have Python installed on your system. You can install the required libraries using the following commands:
Step 1: Fetching HTML Content
To begin, let's use the requests library to fetch the HTML content of the web page. Replace the url variable with the URL of the web page you want to scrape.
Step 2: Parsing HTML with BeautifulSoup
Now, let's use BeautifulSoup to parse the HTML content. We'll create a BeautifulSoup object and specify the HTML parser to use.
Step 3: Locating the List in HTML
Inspect the HTML structure of the web page and identify the HTML tags that enclose the list you want to extract. Use BeautifulSoup's methods to locate these tags.
Step 4: Extracting List Items
Once you've located the container of the list, use BeautifulSoup to find all the list items within that container.
Now you have successfully extracted and printed the list items from the web scraped HTML page.
Note: Customize the code according to the specific HTML structure of the web page you are working with. Use the developer tools in your browser to inspect the HTML and identify the appropriate tags for extraction.
Conclusion:
In this tutorial, you learned how to extract lists from a web scraped HTML page using Python. BeautifulSoup and requests libraries are powerful tools for web scraping tasks, allowing you to navigate and extract data from HTML documents.
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