We have already considered some popular tags (`html`, `body`, `head`, `p`, `h1`). These tags can also contain attributes - strings in tags that provide us with additional information about code in tags. The attribute in a tag is followed by an equals sign, followed by information about that attribute in the tag code. For example:

```
<div id = "2" class = "class1">
…
</div>
```

There is a div tag with 2 extremely common attributes: `id` and `class`. Here the `id` is a unique identifier to our tag, which helps to find it. The attribute `id` should be used once for one tag. The attribute `class` doesn’t need to be unique as this specifies which class belongs to the tag. Many tags can belong to the same class. The tag can also belong to multiple classes (multiple class names will be separated by spaces). 

You can also look at the pages we worked with to see their attributes.

The tag `<a>` defines a **hyperlink**. The attribute `href` help to define the URL of the website where the link goes:

```
<a href = "https://codefinity.com/">Visit Codefinity!</a>
```

There are many different tag types and attributes (depending on the tags they belong to). We will not go through all these tags! In the following chapters, we will explore methods to help us find information using attributes.

Which attribute do we use for the hyperlink?

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 (res)

Attributes