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Lära Challenge | Tables
Web Scraping with Python

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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.

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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(
_ _ _
)

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

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urlopen
dots
extract
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openurl
dots
"utf-8"
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openurl
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utf-8
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read
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urlopen

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

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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.

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Fill gaps to create the BeautifulSoup object:

soup =(html, ".")

Let's scrap the table!.

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

Select the correct answer

Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 4. Kapitel 4
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