Summary
This chapter demonstrates how to use Python libraries for making HTTP requests and parsing HTML documents, as well as how to handle dynamic content via browser automation.

General domain of usage
Web scraping

Welcome to the course! Today, you will start exploring how **web scraping** works.


**Web Scraping** is a process used to automatically extract information from websites. For instance, you can use it to compare prices on various platforms or gather data about stocks.

Definition

There are numerous methods in python for extracting data. Let's compare the most popular libraries for web scraping: `requests`, `BeautifulSoup`, `lxml`, and `Selenium`.

Throughout this course, the primary focus will be on the first two libraries. However, `selenium` and `lxml` are also powerful tools:

* `selenium` enables **JavaScript** support, allowing interaction with dynamic fields and menus;
* `lxml` simplifies 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.

Introduction to Web Scraping

Introduction to Web Scraping