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Regular expressions are great for matches but a bit inconvenient. Python provides us with an instrumental library for web scrapping - BeautifulSoup!

BeautifulSoup makes it easy to go through HTML files and extract the parts we are interested in. To import the library, use:

from bs4 import BeautifulSoup

To create the first object and start iterating with the website, use the following code:

soup = BeautifulSoup(html, "html.parser")

We assign the Beautiful Object to the variable soup with two parameters. The first one is the HTML file we want to parse. The second argument tells which parser to use. "html.parser" corresponds to Python's built-in HTML parser.

BeautifulSoup is highly comfortable to work with since you don't need to write regexes or additional conditions to extract the data from tags.

For instance, let's get the first tag of the type title from the website:


              1
            
print(soup.title)

BeautifulSoup can also help to convert websites into DataFrames (using pandas), which are easier to manipulate. We will learn how to do this in the following chapters.

Task

Swipe to start coding

Print the first h1 of the page tag using BeautifulSoup:

Import the needed library.
Create the BeautifulSoup object and assign it to the variable soup.
Print the first h1 tag using the variable soup.

Solution

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 2. Chapter 1

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Regular expressions are great for matches but a bit inconvenient. Python provides us with an instrumental library for web scrapping - BeautifulSoup!

BeautifulSoup makes it easy to go through HTML files and extract the parts we are interested in. To import the library, use:

from bs4 import BeautifulSoup

To create the first object and start iterating with the website, use the following code:

soup = BeautifulSoup(html, "html.parser")

BeautifulSoup is highly comfortable to work with since you don't need to write regexes or additional conditions to extract the data from tags.

For instance, let's get the first tag of the type title from the website:


              1
            
print(soup.title)

BeautifulSoup can also help to convert websites into DataFrames (using pandas), which are easier to manipulate. We will learn how to do this in the following chapters.

Task

Swipe to start coding

Print the first h1 of the page tag using BeautifulSoup:

Import the needed library.
Create the BeautifulSoup object and assign it to the variable soup.
Print the first h1 tag using the variable soup.

Solution

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 2. Chapter 1

single

Swipe to show menu

Regular expressions are great for matches but a bit inconvenient. Python provides us with an instrumental library for web scrapping - BeautifulSoup!

BeautifulSoup makes it easy to go through HTML files and extract the parts we are interested in. To import the library, use:

from bs4 import BeautifulSoup

To create the first object and start iterating with the website, use the following code:

soup = BeautifulSoup(html, "html.parser")

BeautifulSoup is highly comfortable to work with since you don't need to write regexes or additional conditions to extract the data from tags.

For instance, let's get the first tag of the type title from the website:


              1
            
print(soup.title)

BeautifulSoup can also help to convert websites into DataFrames (using pandas), which are easier to manipulate. We will learn how to do this in the following chapters.

Task

Swipe to start coding

Print the first h1 of the page tag using BeautifulSoup:

Import the needed library.
Create the BeautifulSoup object and assign it to the variable soup.
Print the first h1 tag using the variable soup.

Solution

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Work with the Library

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Work with the Library

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Work with the Library

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