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You're reading from  Learn Python by Building Data Science Applications

Product typeBook
Published inAug 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789535365
Edition1st Edition
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Authors (2):
Philipp Kats
Philipp Kats
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Philipp Kats

Philipp Kats is a researcher at the Urban Complexity Lab, NYU CUSP, a research fellow at Kazan Federal University, and a data scientist at StreetEasy, with many years of experience in software development. His interests include data analysis, urban studies, data journalism, and visualization. Having a bachelor's degree in architectural design and a having followed the rocky path (at first) of being a self-taught developer, Philipp knows the pain points of learning programming and is eager to share his experience.
Read more about Philipp Kats

David Katz
David Katz
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David Katz

David Katz is a researcher and holds a Ph.D. in mathematics. As a mathematician at heart, he sees code as a tool to express his questions. David believes that code literacy is essential as it applies to most disciplines and professions. David is passionate about sharing his knowledge and has 6 years of experience teaching college and high school students.
Read more about David Katz

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Chapter 7

What does the term web scraping mean?

Web scraping is the process of collecting information directly from HTML web pages. Just like mining, we have to first collect ore of the HTML, from which we can then refine the valuable data points.

What are the main differences between scraping and using a web API? What are the challenges?

The main difference is the lack of any guarantees there is no promise that the web page won't change in terms of its structure, or will be shown at all. In fact, many services actively attempt to prevent web scraping. Another challenge is processing raw HTML into valuable information, as it often requires some custom code.

What exactly does Beautiful Soup do? Can we scrape without it?

In our stack (requests and BeautifulSoup), the latter allows us to navigate the document and query it, pulling specific values. We can definitely...

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Learn Python by Building Data Science Applications
Published in: Aug 2019Publisher: PacktISBN-13: 9781789535365

Authors (2)

author image
Philipp Kats

Philipp Kats is a researcher at the Urban Complexity Lab, NYU CUSP, a research fellow at Kazan Federal University, and a data scientist at StreetEasy, with many years of experience in software development. His interests include data analysis, urban studies, data journalism, and visualization. Having a bachelor's degree in architectural design and a having followed the rocky path (at first) of being a self-taught developer, Philipp knows the pain points of learning programming and is eager to share his experience.
Read more about Philipp Kats

author image
David Katz

David Katz is a researcher and holds a Ph.D. in mathematics. As a mathematician at heart, he sees code as a tool to express his questions. David believes that code literacy is essential as it applies to most disciplines and professions. David is passionate about sharing his knowledge and has 6 years of experience teaching college and high school students.
Read more about David Katz