Scrapegraph-ai vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| Scrapegraph-ai | awesome-llm-apps | |
|---|---|---|
| Tagline | A Python scraping library with LLM and direct graph logic | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 28k | 117k |
| Forks | 2.7k | 17k |
| Open issues | 1 | 6 |
| Language | Python | Python |
| License | MIT | Apache-2.0 |
| Last pushed | Jun 25, 2026 | Jun 15, 2026 |
| Categories | Data & Retrieval, LLM Frameworks | AI Agents, LLM Frameworks |
Scrapegraph-ai
ScrapeGraphAI is a Python-based web scraping tool that leverages Large Language Models (LLM) to automate the extraction of information from websites and local documents. It supports various formats including XML, HTML, JSON, and Markdown.
Python
awesome-llm-apps
A repository containing a collection of AI agent and Retrieval-Augmented Generation (RAG) applications that are ready to be cloned, customized, and deployed. The projects cover various aspects such as AI agents, always-on agents, multi-agent teams, RAG techniques, voice agents, fine-tuning for specific use cases, and more.
Python