Web scraping with BeautifulSoup is a popular method for extracting data from websites and transforming the scraped data into a structured format for analysis and manipulation. BeautifulSoup provides a simple and efficient way to parse HTML and XML documents, an essential tool for web scraping projects. 

In this guided project, you will learn how to download and scrape the contents of a webpage, allowing you to extract and store specific information for further analysis. 

First, you’ll create a BeautifulSoup object and learn how to navigate its HTML structure using tags, children, parents, and siblings. Then, you’ll extract information, or elements, from HTML files by using filters, find_all, and find. Then, after you locate the specified elements, you will extract their text or attributes. Then, you’ll download and scrape the contents of a web page, including images and data from HTML tables, and convert the data into a Pandas DataFrame for further analysis.

Complete this guided project and gain the experience you need to begin   successfully scraping web pages using BeautifulSoup. 

After completing this project, you'll be able to:

For this project, you will need:

Everything else is provided to you through the IBM Skills Network Labs environment, where you will have access to the Python service that we offer as part of the IBM Skills Network Labs environment. This platform works best with current versions of modern browsers.

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