Data Analysis BeautifulSoup library

Learn Python Beautiful Soup (BeautifulSoup4) library from scratch in this complete beginner-friendly tutorial. In this video, you will understand how Beautiful Soup is used for web scraping and extracting data from HTML and XML documents using Python.

This tutorial explains how to parse web pages, find elements using tags, classes, IDs, attributes, and extract useful information like text, links, images, tables, and structured data. It is perfect for anyone interested in web scraping, data collection, data analysis, and automation using Python.

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🔹 Topics Covered:
• Introduction to Beautiful Soup (bs4)
• Installing BeautifulSoup and required libraries
• Parsing HTML & XML documents
• Finding elements using tags, classes & IDs
• Extracting text, links, images & tables
• Navigating HTML DOM tree
• Real-world web scraping examples in Python

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🔹 Why Learn Beautiful Soup?

Beautiful Soup is one of the most popular Python libraries for web scraping and data extraction. It is widely used in Data Science, Data Analytics, Machine Learning projects, and automation tasks where data collection from websites is required.

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🔹 Who Should Watch?
• Python beginners
• Data science & data analytics students
• Web scraping beginners
• Machine learning aspirants
• Engineering & IT students
• Professionals preparing for interviews

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