Python Web Crawler Development from Beginner to Mastery cover

Python Web Crawler Development from Beginner to Mastery

Rating 3.4
Word count
117K words
Chapters
19
ISBN
9787301309094

Tags

Summary

This book is divided into three parts. Aimed at Python web scraping beginners, it systematically explains, starting from zero, how to use Python to develop common web scraping programs.

Editor's review

This is an introductory Python web scraping book for readers with no prior experience. Structured in three parts, it progresses from the basics to more advanced material, beginning with environment setup and basic syntax and gradually moving on to the development of common web scraping programs. Its positioning is clear: not an exhaustive reference manual, but a complete learning path designed for beginners. The explanations of common scraping scenarios are accompanied by hands-on examples, so readers can learn by writing code and, in practice, understand how requests, parsing, and data extraction work together. For those new to web scraping who do not know where to start, this step-by-step arrangement effectively lowers the barrier to entry. One caveat: web scraping involves boundaries around website rules and data use, so while learning the technology, readers should also pay attention to relevant laws and regulations and to websites' terms of service, and use the technology in compliant and reasonable scenarios.

Who it's for

A good fit for

  • Beginners with no prior experience who want to systematically learn Python web scraping
  • Students who need to collect public data for study or work
  • Self-learners who know basic Python syntax and want to build practical skills
  • Beginners in data analysis who want to obtain web data themselves

Not a good fit for

  • Intermediate and advanced developers who can already build scrapers independently and are looking for advanced architectural solutions
  • Those who want to focus specifically on anti-scraping countermeasures or large-scale distributed collection
  • Readers with no programming experience who do not intend to learn Python

Reading tips

  1. Follow the three parts in order, and after each section, type out the example code yourself; do not just read without practicing.
  2. When you hit an error, first troubleshoot the request and parsing steps yourself, and treat debugging as part of learning.
  3. After finishing the basics, choose a compliant public data source for a small project that connects the knowledge from each part of the book.
  4. At the same time, learn about the target website's terms of service and relevant legal regulations, and develop the habit of compliant collection.

About the publisher

Peking University Press China · Founded in 1979

Peking University Press is a comprehensive university press whose publishing areas cover classical literature, popular science, social culture, world history, Western philosophy, and culture. Its catalogue contains 6,031 titles, with representative books including A Dream of Red Mansions, Relativity: The Special and General Theory (15th Edition) (with Einstein's classic papers on unified field theory and other topics), Elements, Conics, The Aristocratic Families of the Eastern Jin, The Philosophy of Mythology (Volume I), The Philosophy of Mythology (Volume II), and The Origin of Continents and Oceans. Representative authors include Cao Xueqin, Zhou Ruchang, Albert Einstein, Euclid, Apollonius, Tian Yuqing, Schelling, and Xian Gang. The press has developed distinctive strengths in classical Chinese literature and in the translation of Western philosophical classics, while also covering scientific classics and social and cultural studies. As public information is limited, this description is based only on the books in the catalogue and offers no further extrapolation.

Contents

  1. 版权信息
  2. 前言
  3. 第1篇 快速入门篇
  4. 第1章 Python基础
  5. 第2章 Python爬虫入门
  6. 第3章 基本库的使用
  7. 第4章 Ajax数据抓取
  8. 第5章 动态渲染页面爬取
  9. 第6章 代理的设置与使用
  10. 第7章 验证码的识别与破解
  11. 第8章 App数据抓取
  12. 第9章 数据存储
  13. 第2篇 技能进阶篇
  14. 第10章 常用爬虫框架
  15. 第11章 部署爬虫
  16. 第12章 数据分析
  17. 第3篇 项目实战篇
  18. 第13章 爬虫项目实战
  19. 附录 Python常见面试题精选

FAQ

Can I learn this book with no programming background at all?
This book is designed for web scraping beginners and explains everything from zero, but it is still advisable to have some basic knowledge of Python syntax first; otherwise, environment configuration and code comprehension can be difficult. You can study some introductory Python material first and then come back to this book.
What level can I reach after finishing this book?
You can master the basic process of using Python to develop common web scraping programs, including making requests, parsing pages, and extracting data. You will be able to independently complete collection tasks of ordinary difficulty and lay a foundation for further study.
Will the content of the book become outdated quickly?
The specific website structures involved in web scraping will change, but the basic processes and programming approaches explained in the book are relatively stable. It is advisable to focus on understanding the methods and to adjust your code flexibly when page structures change, rather than memorizing examples.
What compliance issues should I pay attention to when learning web scraping?
You should comply with the target website's terms of service and robots protocol, avoid collecting personal privacy and protected data, control request frequency to avoid affecting the normal operation of websites, and understand the constraints that relevant laws and regulations place on data use.

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About the author

刘延林 Author

Liu Yanlin is an author about whom limited public information is currently available; details such as nationality, dates of birth and death, and educational background have not been clearly recorded. Based on the work held in the collection, Liu Yanlin is the author of Python Web Crawler Development from Beginner to Mastery, a book in the field of programming and design. The work focuses on Python web crawler technology and is intended for readers who wish to learn crawler development systematically. It starts with introductory knowledge and gradually moves toward more advanced applications, reflecting a writing approach that progresses from the simple to the deeper and balances fundamentals with practice. Because relatively little background information about the author is available, a fuller assessment of their overall body of work is difficult at present; readers may consult the book's specific chapters and examples to understand its technical exposition style.

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