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Hands-On Web Scraping with Python

You're reading from   Hands-On Web Scraping with Python Extract quality data from the web using effective Python techniques

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781837636211
Length 324 pages
Edition 2nd Edition
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Author (1):
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Anish Chapagain Anish Chapagain
Author Profile Icon Anish Chapagain
Anish Chapagain
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Table of Contents (20) Chapters Close

Preface 1. Part 1:Python and Web Scraping
2. Chapter 1: Web Scraping Fundamentals FREE CHAPTER 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

Summary

In this chapter, we explored some of the hot technologies on the market and in the field of data science. Technological frameworks and tools are always evolving. Therefore, it is the developer’s duty to keep up with the latest updates in technologies.

Web scraping or data extraction is one of the core fields of data science, though data processing and analyzing tasks closely follow. Collecting, gathering, and storing data from target websites using scraping techniques used to be core aspects of web scraping. However, as there have been various breakthroughs in systems that interact with data, providing quality data that can be directly implemented in the systems, stored in formats required by the customer, applicable for real-time processing, and more are also to be considered.

Data or datasets are made available using APIs, through sites dedicated to providing tools for research, and more. Web scraping comes into play when we require specific data from a target...

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