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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

Concepts

Web Programming

Author (1):

Anish Chapagain

Table of Contents (20) Chapters

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

Why subscribe?

19. Other Books You May Enjoy

Web scraping using Scrapy

We have learned about, explored, and used different Python libraries for web scraping in the current and previous chapters. Scrapy is one of the few open source web crawling frameworks written in Python that allows dynamic adaptation, a project-based scope, and modular extensibility for web scraping tasks.

As per Scrapy’s official website, https://scrapy.org/, it is simple, fast, collaborative, and yet extensible. Scrapy was previously maintained by Scrapinghub, but now it is maintained by Zyte (https://www.zyte.com/) and some other contributors.

Listed here are a few important features that make Scrapy popular and make it stand out among the Python web crawling frameworks:

Built-in support for parsing, traversing, XPath, CSS selectors, and regex
Handles HTTP requests and responses using built-in libraries
Modular structure and components allow developers to focus on a specific task and manage coding collaboratively
Provides...

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Authors (1)

Anish Chapagain

Anish Chapagain is a software engineer with a passion for data science, its processes, and Python programming, which began around 2007. He has been working with web scraping and analysis-related tasks for more than 5 years, and is currently pursuing freelance projects in the web scraping domain. Anish previously worked as a trainer, web/software developer, and as a banker, where he was exposed to data and gained further insights into topics including data analysis, visualization, data mining, information processing, and knowledge discovery. He has an MSc in computer systems from Bangor University (University of Wales), United Kingdom, and an Executive MBA from Himalayan Whitehouse International College, Kathmandu, Nepal.

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