Practical Web Scraping for Data Science: Best Practices and Examples with Python

Description: Practical Web Scraping for Data Science by Bart Baesens, Seppe vanden Broucke Place of publication from publishers website. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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 scientists 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 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 youve learned and illustrate various data science use cases. What Youll LearnLeverage well-established best practices and commonly-used Python packagesHandle todays web, including JavaScript, cookies, and common web scraping mitigation techniquesUnderstand the managerial and legal concerns regarding web scrapingWho This Book is ForA data science oriented audience that is probably already familiar with Python or another programming language or analytical toolkit (R, SAS, SPSS, etc). Students or instructors in university courses may also benefit. Readers unfamiliar with Python will appreciate a quick Python primer in chapter 1 to catch up with the basics and provide pointers to other guides as well. Back Cover 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 scientists 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 youve learned and illustrate various data science use cases. Author Biography Seppe vanden Broucke is an assistant professor of data and process science at the Faculty of Economics and Business, KU Leuven, Belgium. His research interests include business data mining and analytics, machine learning, process management, and process mining. His work has been published in well-known international journals and presented at top conferences. Seppes teaching includes Advanced Analytics, Big Data and Information Management courses. He also frequently teaches for industry and business audiences. Besides work, Seppe enjoys travelling, reading (Murakami to Bukowski to Asimov), listening to music (Booka Shade to Miles Davis to Claude Debussy), watching movies and series (less so these days due to a lack of time), gaming, and keeping up with the news. Bart Baesens is a professor of big data and analytics at KU Leuven, Belgium, and a lecturer at the University of Southampton, United Kingdom. He has done extensive research on big data and analytics, credit risk modeling, fraud detection and marketing analytics. Bart has written more than 200 scientific papers and several books. Besides enjoying time with his family, he is also a diehard Club Brugge soccer fan. Bart is a foodie and amateur cook. He loves drinking a good glass of wine (his favorites are white Viognier or red Cabernet Sauvignon) either in his wine cellar or when overlooking the authentic red English phone booth in his garden. Bart loves traveling and is fascinated by World War I and reads many books on the topic. Table of Contents Part I: Web Scraping Basics.- 1. Introduction.- 2. The Web Speaks HTTP.- 3. Stirring the HTML and CSS Soup.- Part II: Advanced Web Scraping.- 4. Delving Deeper in HTTP.- 5. Dealing with JavaScript.- 6. From Web Scraping to Web Crawling.- Part III: Managerial Concerns and Best Practices.- 7. Managerial and Legal Concerns.- 8. Closing Topics.- 9. Examples. Feature Web scraping geared toward data scientists that explains how web scraping fits into the data science workflow Takes a "code first" approach to get you up to speed quickly without too much boilerplate text Includes many larger, fully worked out examples Details ISBN1484235819 Author Seppe vanden Broucke Publisher APress Year 2018 Edition 1st ISBN-10 1484235819 ISBN-13 9781484235812 Format Paperback Imprint APress Subtitle Best Practices and Examples with Python Place of Publication Berkley Country of Publication United States DEWEY 005.133 Affiliation Faculty of Etew Katholieke Universiteit Leuven Belgium Pages 306 Illustrations 35 Illustrations, black and white; XVI, 306 p. 35 illus. Publication Date 2018-04-19 Short Title Practical Web Scraping for Data Science Language English DOI 10.1007/978-1-4842-3582-9 UK Release Date 2018-04-19 AU Release Date 2018-04-19 NZ Release Date 2018-04-19 US Release Date 2018-04-19 Edition Description 1st ed. 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