Summary  
This chapter introduces how to implement code for making HTTP requests and parsing HTML/XML document trees using Python libraries—comparing tools like Requests, Beautiful Soup, lxml, and Selenium in terms of speed, ease of use, JavaScript support, and documentation.

General domain of usage  
Web scraping

Welcome to the course! Today, we will begin exploring how __web scraping__ works. 

There are numerous methods in python for extracting data. Let's compare the most popular libraries for web scraping: __Requests__, __Beautiful Soup__, __lxml__, and __Selenium__.

Throughout this course, our primary focus will be on the first two libraries. However, it's worth noting that __selenium__ and __lxml__ are incredibly powerful tools:

- __Selenium__ enables __JavaScript__ support, a programming language that allows developers to interact with dynamic fields and menus;
- lxml facilitates working with both __HTML__ and __XML__ files.

Learn to extract valuable data from websites automatically. Master techniques to gather information efficiently, enabling you to perform in-depth analysis, make data-driven decisions, and unlock new insights from the vast ocean of online information.

Explore the structure of an HTML file, learn how to load it efficiently, and gain practical skills in working with the data it contains.

Explore the basics of Beautiful Soup to extract data from HTML documents. Learn how to navigate the structure of HTML, access specific elements, and work with their child elements to build a strong foundation in web scraping.

Master working with element attributes and content using Beautiful Soup. Gain the skills to extract specific information, search elements by attribute values, and use advanced techniques to efficiently parse and analyze HTML data.

Web Scraping with Python

Introduction to Web Scraping

Web Scraping with Python

Introduction to Web Scraping