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Lernen Work with the Library | Beautiful Soup
Web Scraping with Python

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Work with the Library

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:

python

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

python

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)
copy

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.

Aufgabe

Swipe to start coding

Print the first h1 of the page tag using BeautifulSoup:

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

Lösung

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War alles klar?

Wie können wir es verbessern?

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book
Work with the Library

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:

python

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

python

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)
copy

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.

Aufgabe

Swipe to start coding

Print the first h1 of the page tag using BeautifulSoup:

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

Lösung

Switch to desktopWechseln Sie zum Desktop, um in der realen Welt zu übenFahren Sie dort fort, wo Sie sind, indem Sie eine der folgenden Optionen verwenden
War alles klar?

Wie können wir es verbessern?

Danke für Ihr Feedback!

Abschnitt 2. Kapitel 1
Switch to desktopWechseln Sie zum Desktop, um in der realen Welt zu übenFahren Sie dort fort, wo Sie sind, indem Sie eine der folgenden Optionen verwenden
Wir sind enttäuscht, dass etwas schief gelaufen ist. Was ist passiert?
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