ScrapeGraphAI System Requirements (CPU, RAM, Disk)

ScrapeGraphAI is an open-source Python library that leverages Large Language Models (LLMs) and graph-based scraping pipelines to automatically extract structured data from websites, PDFs, XML, and more. With over 28,000 GitHub stars, it is one of the most popular AI-powered scraping frameworks available today. The library uses a modular graph architecture where each node represents a specific operation — from fetching pages to extracting data using LLM prompts. You can configure multiple LLM backends including GPT, Gemini, Ollama, and Hugging Face models. It supports SmartScraperGraph for single-page scraping, SearchGraph for multi-page extraction, and SpeechGraph for voice-enabled scraping. ScrapeGraphAI comes with Docker support, a REST API, and works headlessly with Browserbase or Selenium. It's perfect for developers building RAG pipelines, AI agents that need web data, or anyone who needs reliable, LLM-powered web scraping without writing complex selectors or regex patterns.