This book is suitable for readers who want to get started with Python crawlers. The book comprehensively introduces the essential knowledge for using Python to develop web crawlers. From the perspective of learning and application, this book helps readers quickly master various web crawler skills. The book has 17 chapters in total, including getting to know web crawlers, understanding web front-ends, various network request modules, various parsing methods for web page data, crawling dynamically rendered information, multi-threaded and multi-process crawlers, data processing and storage, App packet capture tools, identifying verification codes, Scrapy crawler framework, Scrapy-Redis distributed crawlers, and visual crawlers: data detective projects. This book focuses on the practical application of crawler technology, including typical application examples, practical cases and projects, and strives to create a wonderful Python web crawler book for readers that integrates learning introduction + application + practice.
Reader comments
This book is very suitable for a novice like me. The content is easy to understand and the examples are very practical. I especially like the part about data processing and storage in the book, which allows me to better understand and apply crawler technology. However, I kind of hate the verification code recognition part of the book, it feels too difficult. Overall, this is a very practical introductory book to crawlers and is recommended to everyone!
This book is very suitable for a novice like me. The content is easy to understand and the examples are very practical. I especially like the part about data processing and storage in the book, which allows me to better understand and apply crawler technology. However, I kind of hate the verification code recognition part of the book, it feels too difficult. Overall, this is a very practical introductory book to crawlers and is recommended to everyone!
Very studious and very detailed.