awesome-python-login-model

This is a collection of Python scripts that automate logging into a variety of popular websites, along with some basic web scraping (automatically pulling data from web pages) examples. The login scripts work by simulating what a real browser does when a user types in their username and password, using a tool called selenium (a library that controls a browser programmatically) or by reverse-engineering the website's login process directly.

The collection covers more than 20 sites, including Bilibili, Douban, Facebook, GitHub, QQZone, Weibo, Taobao, NetEase Cloud Music, Baidu, and others. The approach is primarily: use selenium to log in and get a session cookie (a small piece of data the website uses to remember you're logged in), then use faster, lighter methods like HTTP requests to actually collect the data you want. This two-step approach keeps scraping efficient.

The repository is written entirely in Python 3 and is presented as a learning resource for people studying web scraping. The author notes the project is intended for educational and personal use only. Some scripts may become outdated as websites change their login systems. It is released under the GNU license.