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Hands-On Web Scraping with Python

You're reading from   Hands-On Web Scraping with Python Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others

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Product type Paperback
Published in Jul 2019
Publisher Packt
ISBN-13 9781789533392
Length 350 pages
Edition 1st 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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Toc

Table of Contents (16) Chapters Close

Preface 1. Section 1: Introduction to Web Scraping FREE CHAPTER
2. Web Scraping Fundamentals 3. Section 2: Beginning Web Scraping
4. Python and the Web – Using urllib and Requests 5. Using LXML, XPath, and CSS Selectors 6. Scraping Using pyquery – a Python Library 7. Web Scraping Using Scrapy and Beautiful Soup 8. Section 3: Advanced Concepts
9. Working with Secure Web 10. Data Extraction Using Web-Based APIs 11. Using Selenium to Scrape the Web 12. Using Regex to Extract Data 13. Section 4: Conclusion
14. Next Steps 15. Other Books You May Enjoy

Web Scraping Using Scrapy and Beautiful Soup

So far, we have learned about web-development technologies, data-finding techniques, and accessing various Python libraries to scrape data from the web.

In this chapter, we will be learning about and exploring two Python libraries that are popular for document parsing and scraping activities: Scrapy and Beautiful Soup.

Beautiful Soup deals with document parsing. Parsing a document is done for element traversing and extracting its content. Scrapy is a web crawling framework written in Python. It provides a project-oriented scope for web scraping. Scrapy provides plenty of built-in resources for email, selectors, items, and so on, and can be used from simple to API-based content extraction.

In this chapter, we will learn about the following:

  • Web scraping using Beautiful Soup
  • Web scraping using Scrapy
  • Deploying a web crawler (learning...
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