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. Seppe's 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.

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

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.