An Introduction to Web Mining : With Applications in R
Overview
This book is devoted to the art and science of web mining -- showing how the world's largest information source can be turned into structured, research-ready data. Drawing on many years of teaching graduate courses on Web Mining and on numerous large-scale research projects in web mining contexts, the author provides clear explanations of key web technologies combined with hands-on R tutorials that work in the real world -- and keep working as the web evolves.Through the book, readers will learn how to
- scrape static and dynamic/JavaScript-heavy websites
- use web APIs for structured data extraction from web sources
- build fault-tolerant crawlers and cloud-based scraping pipelines
- navigate CAPTCHAs, rate limits, and authentication hurdles
- integrate AI-driven tools to speed up every stage of the workflow
- apply ethical, legal, and scientific guidelines to their web mining activities
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Details
- ISBN-13: 9783031966378
- ISBN-10: 3031966376
- Publisher: Springer
- Publish Date: August 2025
- Dimensions: 9.21 x 6.14 x 0.58 inches
- Shipping Weight: 0.86 pounds
- Page Count: 251
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