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Challenge | Tables
Web Scraping with Python (res)
course content

Contenido del Curso

Web Scraping with Python (res)

Web Scraping with Python (res)

1. HTML Files and DevTools
2. Beautiful Soup
3. CSS Selectors/XPaths
4. Tables

Challenge

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()

Click or drag`n`drop items and fill in the blanks

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

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

Selecciona unas respuestas correctas

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:

Selecciona unas respuestas correctas

¿Todo estuvo claro?

Sección 4. Capítulo 4
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