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.

We will explore the structure of the HTML file,  how to load it, and work with the data in the file.

Learn how to extract the data more comfortably with the BeautifulSoup library. In this section, you will learn how to access specific elements and their children.

In this section, you will continue the journey with the Beautiful Soup. These, you will learn how to get attributes and contents of certain elements and how to search elements with certain attribute values.

Web Scraping with Python

Introduction to Web Scraping