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Hands-On Web Scraping with Python - Second Edition

You're reading from  Hands-On Web Scraping with Python - Second Edition

Product type Book
Published in Oct 2023
Publisher Packt
ISBN-13 9781837636211
Pages 324 pages
Edition 2nd Edition
Languages
Author (1):
Anish Chapagain Anish Chapagain
Profile icon Anish Chapagain
Toc

Table of Contents (20) Chapters close

Preface 1. Part 1:Python and Web Scraping
2. Chapter 1: Web Scraping Fundamentals 3. Chapter 2: Python Programming for Data and Web 4. Part 2:Beginning Web Scraping
5. Chapter 3: Searching and Processing Web Documents 6. Chapter 4: Scraping Using PyQuery, a jQuery-Like Library for Python 7. Chapter 5: Scraping the Web with Scrapy and Beautiful Soup 8. Part 3:Advanced Scraping Concepts
9. Chapter 6: Working with the Secure Web 10. Chapter 7: Data Extraction Using Web APIs 11. Chapter 8: Using Selenium to Scrape the Web 12. Chapter 9: Using Regular Expressions and PDFs 13. Part 4:Advanced Data-Related Concepts
14. Chapter 10: Data Mining, Analysis, and Visualization 15. Chapter 11: Machine Learning and Web Scraping 16. Part 5:Conclusion
17. Chapter 12: After Scraping – Next Steps and Data Analysis 18. Index 19. Other Books You May Enjoy

Preface

Web scraping is used to scrape and collect data from the web. The data collected from scraping is used to generate and identify patterns in the information.

In today’s technical – or, more precisely, data-driven – fields and markets, quick and reliable information is in very high demand. Data collected in CSV or JSON format and from databases is processed to generate error-free and high-quality data, which is then analyzed, trained using machine learning algorithms, and plotted. The resulting information is carried forward for decision-making or supportive business intelligence-related tasks.

The chapters of this book are designed in such a way that each section helps you to understand certain important concepts and practical experiences. If you complete all the chapters of the book, then you will gain practice in scraping data from desired websites and analyzing and reporting data. You will also learn about the career paths and jobs related to web scraping, data analysis, reporting, visualization, and machine learning.

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