Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Aprenda Challenge | Tables
Web Scraping with Python

bookChallenge

Let’s check how well we can scrape the data from websites!

You have the following page you need to scrape the data from. Take a look at it and see which information contains. Firstly, we should access the content of the page.

question-icon

Fill gaps to see the HTML code of your page:

from urllib.request import

url = "https://codefinity-content-media.s3.eu-west-1.amazonaws.com/18a4e428-1a0f-44c2-a8ad-244cd9c7985e/final.html"
page =(url)
html = page.().decode()

Clique ou arraste solte itens e preencha os espaços

Let’s continue. We can already get the HTML structure of the page.

question mark

To iterate through all the HTML elements, we can use libraries:

Select the correct answer

The next step for working with the data is creating the BeautifulSoup object.

question-icon

Fill gaps to create the BeautifulSoup object:

soup =(html, ".")

Let's scrap the table!.

question mark

To iterate through all the HTML elements, we can use libraries:

Select the correct answer

Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 4. Capítulo 4

Pergunte à IA

expand

Pergunte à IA

ChatGPT

Pergunte o que quiser ou experimente uma das perguntas sugeridas para iniciar nosso bate-papo

Suggested prompts:

Pergunte-me perguntas sobre este assunto

Resumir este capítulo

Mostrar exemplos do mundo real

Awesome!

Completion rate improved to 4.76

bookChallenge

Deslize para mostrar o menu

Let’s check how well we can scrape the data from websites!

You have the following page you need to scrape the data from. Take a look at it and see which information contains. Firstly, we should access the content of the page.

question-icon

Fill gaps to see the HTML code of your page:

from urllib.request import

url = "https://codefinity-content-media.s3.eu-west-1.amazonaws.com/18a4e428-1a0f-44c2-a8ad-244cd9c7985e/final.html"
page =(url)
html = page.().decode()

Clique ou arraste solte itens e preencha os espaços

Let’s continue. We can already get the HTML structure of the page.

question mark

To iterate through all the HTML elements, we can use libraries:

Select the correct answer

The next step for working with the data is creating the BeautifulSoup object.

question-icon

Fill gaps to create the BeautifulSoup object:

soup =(html, ".")

Let's scrap the table!.

question mark

To iterate through all the HTML elements, we can use libraries:

Select the correct answer

Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 4. Capítulo 4
some-alt