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

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Part Web Scraping Basics
1. Introduction
2. The Web Speaks HTTP
3.Stirring the HTML and CSS Soup
Part Advanced Web Scraping
4. Delving Deeper in HTTP
5. Dealing with JavaScript
6. From Web Scraping to Web CrawlingPart Managerial Concerns and Best Practices
7. Managerial and Legal Concerns
8. Closing Topics
9. Examples

324 pages, Paperback

Published April 21, 2018

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Displaying 1 - 2 of 2 reviews
1 review
April 29, 2026
This book is useful for understanding how much of modern work depends on collecting, cleaning, and using online data responsibly.

The biggest lesson for me is that automation is only valuable when it is reliable and respectful of limits. Scraping or monitoring data without structure can quickly become messy, fragile, or risky.

For developers and data teams, the real challenge is not just getting data once. It is building a repeatable workflow that handles access, privacy, errors, and changing websites properly.

Good read for anyone interested in automation, web data, and the infrastructure behind research and monitoring systems.
Displaying 1 - 2 of 2 reviews