scrapegraph

ScrapeGraphAI is an open-source Python library that revolutionizes scraping tools by integrating Large Language Models (LLMs) and modular graph-based pipelines. It automates the scraping of data from various sources such as websites, local files, and more. By simply specifying the information you need to extract, ScrapeGraphAI provides a more flexible and low-maintenance solution compared to traditional scraping tools.

Features

• Integration of Large Language Models (LLMs) for adaptive scraping
• Modular graph-based pipelines for automating scraping processes
• Support for various data sources, including websites and local files
• Flexibility and low maintenance compared to traditional scraping tools
• Support for multiple LLMs, including GPT, Gemini, Groq, Azure, Hugging Face, and local models using Ollama

Summary

ScrapeGraphAI is an ideal tool for data scientists, developers, and researchers who regularly deal with data scraping tasks. Its unique integration of LLMs provides a more adaptive and efficient solution compared to traditional scraping tools. By reducing the need for constant developer intervention, ScrapeGraphAI saves time and resources, making it an essential addition to any data analytics workflow. We recommend ScrapeGraphAI for users seeking a modern, adaptive, and efficient scraping solution.