This project focuses on building a robust and scalable database system that seamlessly integrates with web scraping tools. Automatically gathering and storing data in a structured JSON format aims to simplify how users handle large volumes of scraped information. In addition, the system will offer advanced query options, such as AI-powered SQL, GraphQL, and natural language (NL) interfaces, enabling users to retrieve insights quickly and efficiently. In doing so, the project addresses common challenges around data storage, retrieval, and analysis, while focusing on performance, scalability, and cost-effectiveness as core priorities.