GPT Crawler is an open-source tool designed to automatically crawl websites and generate structured knowledge that can be used to build AI assistants and retrieval systems. It focuses on extracting high-quality textual content from web pages and preparing it in formats suitable for embedding, indexing, or fine-tuning workflows. The project is especially useful for teams that want to turn documentation sites or knowledge bases into conversational AI backends without building custom scrapers from scratch. It includes configurable crawling logic, content filtering, and output pipelines that streamline the process of preparing data for large language models. Developers can integrate it into automated pipelines to keep knowledge sources fresh and synchronized with live websites. The overall architecture emphasizes extensibility, allowing users to customize crawling depth, parsing rules, and output handling.
Features
- Automated website crawling and content extraction
- LLM-ready structured output generation
- Configurable crawl depth and filtering rules
- Support for embedding and vector workflows
- Designed for documentation and knowledge bases
- Extensible architecture for custom pipelines