Contenido del Curso
Web Scraping with Python (res)
Web Scraping with Python (res)
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:
To create the first object and start iterating with the website, use the following code:
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:
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.
Tarea
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 variablesoup
.
¡Gracias por tus comentarios!
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:
To create the first object and start iterating with the website, use the following code:
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:
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.
Tarea
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 variablesoup
.
¡Gracias por tus comentarios!
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:
To create the first object and start iterating with the website, use the following code:
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:
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.
Tarea
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 variablesoup
.
¡Gracias por tus comentarios!
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:
To create the first object and start iterating with the website, use the following code:
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:
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.
Tarea
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 variablesoup
.