Lucky Lift | A Betting Web App using Web Scraping

Anas Khan

Data Scraper
Fullstack Engineer
Web Developer
BeautifulSoup
Next.js
TypeScript
Redis
AWS

What is Lucky Lift, and how does it utilize Next.js, TypeScript, Redis, and web scraping in its development?

Lucky Lift is a betting web application developed using Next.js, TypeScript, Redis, and Python with Beautiful Soup (bs4) and requests for web scraping.
Next.js is employed for building both the frontend and backend, enabling server-side rendering (SSR) for a fast and responsive user experience.
TypeScript is used to ensure a strongly-typed codebase, making the application more reliable and maintainable.
Redis serves as a high-performance caching and data storage solution, ensuring real-time updates and low latency for user interactions.
Web scraping is implemented in Python using Beautiful Soup and requests to collect live data, such as betting odds and statistics, from external websites. This data is then fed into the application to provide users with accurate and up-to-date information for making bets.
By integrating these technologies, Lucky Lift offers a dynamic, responsive, and data-rich platform for its users.
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