ScrapeGraphAI is an innovative Python library designed to streamline the process of data extraction from various sources, such as websites and local documents like XML, HTML, and JSON. By combining the power of large language models (LLMs) with graph logic, this tool automates the creation of efficient scraping pipelines, making it accessible even to those with minimal programming experience. Users simply specify the data they seek in natural language, and the AI intricately manages the complex task of data extraction. Supporting a range of LLMs, including renowned models like GPT, Gemini, Groq, and Azure, as well as local models via Ollama, ScrapeGraphAI offers flexibility and adaptability to fit diverse project needs. This library not only reduces the time and effort required for web scraping but also enhances accuracy and consistency across data collection endeavors. Whether used by developers, researchers, or data enthusiasts, ScrapeGraphAI represents a significant advancement in the automation of data retrieval processes.