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Automating Data Collection from Web Sources

bookInclude Other Informations in the Scraping Process

Now that we have understood how the scraping process works let's finish the job and also include the missing information in our process!

Opgave

Swipe to start coding

  1. Import pandas and initialize an empty df.
  2. Create a for loop to iterate over all tags.
  3. Scrape the country name, the capital city, population, and area.
  4. Append the scraped values in the df.

Løsning

Mark tasks as Completed
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Sektion 1. Kapitel 6

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Suggested prompts:

What missing information should we include in the scraping process?

Can you provide more details about the final steps we need to complete?

Do you want a summary of the entire scraping workflow so far?

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Completion rate improved to 14.29

bookInclude Other Informations in the Scraping Process

Now that we have understood how the scraping process works let's finish the job and also include the missing information in our process!

Opgave

Swipe to start coding

  1. Import pandas and initialize an empty df.
  2. Create a for loop to iterate over all tags.
  3. Scrape the country name, the capital city, population, and area.
  4. Append the scraped values in the df.

Løsning

Mark tasks as Completed
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Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 1. Kapitel 6
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