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Automating Data Collection from Web Sources
course content

Course Content

Automating Data Collection from Web Sources

Automating Data Collection from Web Sources

IntroductionThe Requests LibraryParse the HTML Content Using BeautifulSoupExtract the Desired AttributeStore Scraped Data Into a Pandas DataFrameInclude Other Informations in the Scraping ProcessRegular Expressions

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!

Task

  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.

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

Task

  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.

Mark tasks as Completed
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 6
AVAILABLE TO ULTIMATE ONLY
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