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Web Scraping with Python (res)
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Contenido del Curso

Web Scraping with Python (res)

Web Scraping with Python (res)

1. HTML Files and DevTools
Intro to Web ScrapingFirst StepsHTML File StructureHierarchy in the HTMLString MethodsAttributesDevTools
2. Beautiful Soup
Work with the LibraryWork with SoupFind/Find_allFind All!
3. CSS Selectors/XPaths
Intro to XPathAttributes in XPathSelectorsCSS SelectorsCSS Selectors in BeautifulSoupXPath vs CSS Selector
4. Tables
Intro to TablesWays to Scrape TableSimple Solution for ScrapingChallenge

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:


              
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.

Tarea

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.

Tarea

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.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

Sección 2. Capítulo 1
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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:

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:


              
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.

Tarea

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.

Tarea

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.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

Sección 2. Capítulo 1
toggle bottom row

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:


              
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.

Tarea

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.

Tarea

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.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

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:


              
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.

Tarea

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.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
Sección 2. Capítulo 1
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
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