HTML Parsing with Python: Extracting Data by Class Name

When scraping web pages, finding the exact information you need can feel like searching for a needle in a haystack. Learning how to target HTML elements by their class names allows you to cleanly extract structured data like job listings, prices, or articles. This text-only course teaches you how to parse HTML documents using Python. You will progress from understanding basic HTML structure to writing precise queries that target elements by class name and other attributes, transforming raw web pages into clean, usable data. What you'll learn: - Understand basic HTML structure, tags, and the role of class attributes in styling - Set up a modern Python environment for parsing HTML documents - Find specific HTML elements by their class names to isolate targeted data blocks - Apply CSS selectors as a modern, flexible alternative for deep element navigation - Handle common edge cases such as multiple classes and nested structures - Extract text and attributes from selected elements to format your final dataset You will start with the fundamental concepts of HTML syntax before diving into hands-on written exercises that demonstrate how to locate and extract specific elements. The course guides you step-by-step through real-world scenarios, such as parsing structured listings and handling complex class names. This course is designed for beginners interested in data extraction and web scraping. No prior scraping experience is required, and all concepts are explained from the ground up. Start reading today to master the core techniques of HTML data extraction.