We have previously organized a lot of learning materials related to Python web scraping, including mind maps, basic knowledge points, and common issues.
However, theoretical knowledge is always somewhat superficial; only through practical experience can one truly master the knowledge points.
Therefore, the Python practical project exercises are here!
This resource covers content from basic to advanced levels, aimed at helping everyone gradually master web scraping technology.
First, you will learn how to use the Requests library to initiate HTTP requests, parse HTML pages, extract key information, and finally store the data in local files or databases.
Next, you will enter the realm of dynamic web data scraping. By learning to use Selenium to simulate browser operations, handle JavaScript-rendered pages, and extract data using XPath or CSS selectors, you will be able to tackle more complex web structures and implement advanced web scraping projects.
In advanced projects, you will practice distributed web scraping and handling CAPTCHAs, as well as implementing Webhooks for real-time data scraping, ensuring the stability and accuracy of the scraped data.
At the same time, you will also learn data cleaning and deduplication techniques. Additionally, using the Scrapy framework can accelerate web scraping development and improve efficiency.
The core of this resource is practice. By actively writing web scraping programs, you will deepen your understanding and mastery of web scraping technology, and be able to apply these skills to real projects.
Only through practice can you truly master and apply this knowledge, achieving a level from beginner to expert.
How to Access the Resources
Long press to scan the code and send:「842」
Long press to send「842」