Guide to Using the 12306 Ticket‑Grabbing Python Project
This article introduces the popular 12306 ticket‑grabbing assistant, explains its history and features, provides step‑by‑step installation and configuration instructions—including required dependencies, proxy settings, and email notifications—and shows how to run the script to automatically secure train tickets during the Spring Festival travel rush.
The 12306 ticket‑grabbing assistant, created in 2017 by testerSunshine, has become a top‑ranked GitHub project during each Spring Festival as programmers strive to secure a train ticket for home; it now supports all major 12306 functions such as email alerts and intelligent waiting.
Installation : Download the machine‑learning model from
https://pan.baidu.com/s/1rS155VjweWVWIJogakechA (password: bmlm)and clone the repository with git clone https://github.com/testerSunshine/12306model.git. Install required Python packages via
pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt, adjusting TensorFlow versions if needed.
Configuration : Edit the provided config.py (or similar) file to set ticket type, travel dates, departure/arrival stations, seat classes, passenger names, and 12306 login credentials. Optional features include automatic captcha solving ( IS_AUTO_CODE = True), server‑chan notifications, CDN query acceleration, proxy usage ( IS_PROXY = 0/1), and request rate limits ( MAX_TIME = 3, MIN_TIME = 1).
Running the tool : After configuration, test the environment, then start the service with python3 run.py c to filter CDN and finally python3 run.py r to begin ticket grabbing. Successful grabs trigger email or WeChat alerts and display a result screenshot.
The project’s source code is available at https://github.com/testerSunshine/12306 . Historical notes describe early 12306 scripts from 2010, the infamous “12306 booking assistant” that once overloaded GitHub, and the continued dedication of developers to “code for home” during the busiest travel period of the year.
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