This video provides an overview of BeautifulSoup, a powerful Python library designed for extracting data from HTML or XML files. Before using BeautifulSoup, you’ll learn how to collect web page content using the requests library and a GET request.
We will demonstrate how to create a BeautifulSoup object and use various parsers like html.parser. The tutorial will cover how to traverse HTML code to extract common tags such as title, h1, and h2, along with their string content and parent tags. You’ll also see how to extract attributes from meta tags, such as content.
Furthermore, we’ll explore more advanced applications, including how to collect all links from a webpage and how to generate a dynamic table of contents by extracting all h2 tags. This video aims to make learning web scraping simple and project-oriented with real examples
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Just started learning BeautifulSoup, and I’m curious, could HasData’s API help with scraping dynamic content too?