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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
Languages
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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

Scraping the Web with Scrapy and Beautiful Soup

In previous chapters, we learned about web scraping-related technologies, data-finding techniques, and using various Python libraries to scrape data from the web.

In this chapter, we will explore and learn practically about two popular Python libraries, Scrapy and Beautiful Soup. Scrapy is a web crawling framework for Python and provides a project-oriented scope for web scraping. Beautiful Soup, on the other hand, deals with document or content parsing. Parsing a document is normally done to effectively traverse and extract content. Apart from this, both libraries are heavily loaded with DOM-related features.

In particular, we will learn about the following topics in this chapter:

  • Web parsing using Python
  • Web scraping using Beautiful Soup
  • Web scraping using Scrapy
  • Deploying a web crawler
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