Data Extraction and Preprocessing through Webscraping

STARTS (GMT +08:00)
ENDS (GMT +08:00)

Learning Outcomes

By the end of this quest, you will be able to:

  • Understand and use different web scraping techniques
  • Fetch and parse raw HTML files
  • Use regular expressions
  • Use BeautifulSoup and Selenium for simple automation tasks

Quest Details


Webscraping plays a pivotal role in the realm of machine learning, where the quantity and quality of data can directly influence predictive accuracy. Ideally, we would be equipped with comprehensive, well-labelled datasets tailored for our Natural Language Processing (NLP) endeavors.

Yet, in many instances, the desired datasets might be scarce or lacking in depth. A significant portion of this valuable data resides within the intricate web pages of the internet.

Web scraping emerges as a vital tool in this context, enabling us to swiftly harvest pertinent data from platforms like social media, academic journals, or editorial columns. Once extracted, this data becomes a rich resource for sentiment analysis, aggregating diverse opinions about a product or individual, and offering a consolidated view of prevailing sentiments.

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This quest has 1 deliverable.

  1. A screenshot of the different quotes printed by using both Selenium and BeautifulSoup.

This quest is part of a campaign so do check out other quests!

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