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VitePythonFlaskSelenium

Linkedin Games Solver

Created: 2024

The LinkedIn Games Solver is an innovative automation solution that demonstrates rapid prototyping capabilities and full-stack development expertise. Created as a 24-hour challenge project, this application automatically solves LinkedIn's daily games at precisely 8:00 AM, showcasing both technical prowess and creative problem-solving skills.

The frontend application is built with Vite for lightning-fast development and optimal build performance, then deployed on Vercel for global edge distribution and minimal latency. The user interface provides a clean, intuitive dashboard where users can view daily game solutions, track solving statistics, and monitor system performance.

The backend infrastructure utilizes Python Flask RESTX for robust API development, providing comprehensive documentation and validation. The RESTful API handles user authentication, game data management, solution distribution, and performance analytics. The modular architecture ensures easy maintenance and feature expansion.

The core automation component employs Selenium-wire for advanced web scraping capabilities, enabling the system to navigate LinkedIn's game interfaces, extract puzzle data, apply solving algorithms, and submit solutions automatically. The bot operates on a reliable Hetzner VPS with scheduled cron jobs ensuring consistent daily execution.

Technical challenges overcome include anti-bot detection evasion, dynamic content loading handling, rate limiting compliance, error recovery mechanisms, and maintaining solution accuracy across different game types. The system includes comprehensive logging and monitoring to ensure reliable operation.

The project demonstrates expertise in web scraping ethics, automated testing, cloud deployment, API design, and system reliability. Despite being a rapid development project, the solution maintains production-level quality with proper error handling, security measures, and scalable architecture.