Welcome to the course! Today we will start exploring how **Web Scrapping** works. **Web Scraping** is a process that can be used to extract information  from websites automatically. For example, compare prices on different platforms or collect data about stocks. 

There are a lot of ways in Python to extract the data. Let's compare  the most popular libraries for Web Scraping: `Requests`, `Beautiful Soup`, `lxml`, and `Selenium`.

In this course, we will focus on the first two libraries. However, `Selenium` and `lxml` are extremely powerful tools:
- `Selenium` supports work with `JavaScript`, a programming language that allows developers to populate fields and menus dynamically.
- `lxml` allows the work with both `HTML` and `XML` files. 

Here 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.