scrapegraphai/scrapegraph-ai

ScrapeGraphAI is a Python library for AI-powered web scraping. Traditional web scraping involves writing code that tells a program exactly where to find data on a page, which HTML elements to look in, what patterns to match. This breaks whenever a website changes its layout. ScrapeGraphAI takes a different approach: you describe in plain English what information you want, and an AI language model figures out how to extract it. For example, you give it a URL and a prompt like "extract the company description, founders, and social media links" and it returns the results as structured data (a JSON dictionary). It handles the page fetching and AI parsing automatically, using models like GPT-4, Llama, Gemini, or local models running via Ollama. The library includes several pipeline types: a single-page scraper, a multi-page scraper that can search the web and aggregate results across multiple pages, a pipeline that generates reusable Python scraping scripts, and even one that generates audio files from extracted content. You would use ScrapeGraphAI when you need to extract structured information from websites without writing and maintaining fragile scraping code. It integrates with LLM frameworks like LangChain and LlamaIndex, and has connectors for automation platforms like Zapier and n8n. The tech stack is Python, using large language model APIs for the extraction logic.