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Web Scraping with Python (res)
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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

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.

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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.

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

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

Selecione algumas respostas corretas

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

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Fill gaps to create the `BeautifulSoup` object:

soup =(html, ".")

Let's scrap the table!.

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

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

Selecione algumas respostas corretas

Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 4. Capítulo 4
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