| Description |
1 online resource (1 volume) : illustrations |
| Bibliography |
Includes bibliographical references. |
| Summary |
This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. Written with a data science audience in mind, the book explores both scraping and the larger context of web technologies in which it operates, to ensure full understanding. The authors recommend web scraping as a powerful tool for any data scientist's arsenal, as many data science projects start by obtaining an appropriate data set. Starting with a brief overview on scraping and real-life use cases, the authors explore the core concepts of HTTP, HTML, and CSS to provide a solid foundation. Along with a quick Python primer, they cover requests and Beautiful Soup, Selenium for JavaScript-heavy sites, and web crawling in detail. The book finishes with a recap of best practices and a collection of examples that bring together everything you've learned and illustrate various data science use cases. |
| Subject |
Python (Computer program language)
|
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Data mining.
|
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Automatic data collection systems.
|
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Python (Langage de programmation) |
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Exploration de données (Informatique) |
|
Collecte automatique des données. |
|
Automatic data collection systems |
|
Data mining |
|
Python (Computer program language) |
| Added Author |
Baesens, Bart, author.
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