An Introduction to Web Mining: with Applications in R (Use R!)
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BookPal × TalezoAn Introduction to Web Mining
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
Part I explains why web data matters and leads the reader through a first “hello-scrape” in R while introducing HTML, HTTP, and CSS. Part II explores how the modern web works and shows, step by step, how to move from scraping static pages to collecting data from APIs and JavaScript-driven sites. Part III focuses on scaling up: building reliable crawlers, dealing with log-ins and CAPTCHAs, using cloud resources, and adding AI helpers. Part IV looks at ethical, legal, and research standards, offering checklists and case studies, enabling the reader to make responsible choices. Together, these parts give a clear path from small experiments to large-scale projects.
This valuable guide is written for a wide readership — from graduate students taking their first steps in data science to seasoned researchers and analysts in economics, social science, business, and public policy. It will be a lasting reference for anyone with an interest in extracting insight from the web — whether working in academia, industry, or the public sector.
Details
- Publisher
- Springer Nature Switzerland
- Author
- Ulrich Matter
- Format
- Paperback
- Published
- Aug 8, 2025
- ISBN-13
- 9783031966378
- Pages
- 251
- Printing
- Printed on demand
An Introduction to Web Mining for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $96.79 | 12% off list |
| 50 – 99 | $95.69 | 13% off list |
| 100+ | $94.59 | 14% off list |
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For new managers and leadership cohorts, a chapter per session.
A shared vocabulary for the whole organization.
A takeaway attendees will actually read, delivered to your venue.
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BookPal sells An Introduction to Web Mining in quantity. At 100 copies the price is $94.59 a copy, against a list price of $109.99, and the cart applies the volume tier automatically. Free shipping on most orders over $95 in the contiguous US. A specialist can quote a larger or mixed order.
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What does An Introduction to Web Mining cost when I buy for a group?
Volume pricing applies automatically in your cart, with no code needed. Price per copy: 25 to 49 copies, $96.79 (12% off list); 50 to 99 copies, $95.69 (13% off list); 100+ copies, $94.59 (14% off list). Need a different quantity, or a quote to forward for approval? Ask a specialist and we will confirm pricing before you pay.
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An Introduction to Web Mining: with Applications in R (Use R!)
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