creation / released
LOL Land — Game Reward Automation
Private Node.js/Axios CLI that reproduces LOL Land game and reward flows from manually analyzed HTTP sessions.
about this build
The mission
I used Burp Suite to inspect LOL Land requests and session behavior, manually mapped the action sequence and built the original Node.js automation around Axios. The private repository contains 5 modes: play, check, daily, enroll and premium. It documents concurrent multi-account runs, optional proxy handling, session recovery and retry behavior. The tool automated gameplay and reward collection intended to generate income from the game; no verified earnings amount or return rate is published.
The Burp Suite investigation and original workflow design are owner-reported; the private source confirms the modes, Axios dependency and automation structure. Its README credits Gemini with later refactoring/localization. This portfolio entry keeps account data and request internals private and serves as an engineering archive, not a live game demo.
Role: Manually analyzed HTTP/session flows with Burp Suite and recreated gameplay/reward automation in a Node.js/Axios CLI.
technology
Primary GitHub language: JavaScript
system highlights
- Burp Suite analysis to original Axios automation
- 5 source-confirmed modes
- Concurrent accounts, optional proxies and session recovery
HOW IT WAS BUILT
Skills & technology in this project
Skills applied
- HTTP flow analysis
- Game workflow automation
- Concurrent account handling
- Session recovery and retry logic
Languages
- JavaScript
Tools & platforms
- Burp Suite
- Node.js
- Axios
- Proxy