In most cases we will also need to extract tables for the analysis. The tags `<table>` in HTML contain all of the tabular data. 

To define rows programmers use *table row* elements: `<tr>`. In addition, each cell element of the table must also be defined as the *table data* element: `<td>`. 

 Compare the `<table>` element and the table we will get:

In the example above, we created table about pizza. Three data points (`<td>`) were entered in the each row(`<tr>`). 

Which tags can we use to create the table?

Web Scraping is a process that can be used to automatically extract information from websites. This course will help you to get the data from sources and transform it to the DataFrames using various libraries!

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.

Explore how XPath and CSS Selectors can be used to locate web elements without id, class, or name.

Here we will learn how to convert tables into the DataFrame for the following analysis.

Web Scraping with Python

Intro to Tables