The training data volume of large language models (LLMs) has surged 14,000 times from GPT-1 to Qwen2.5. High-quality, structured web data is the core “feed” for LLM iteration, whether it’s building RAG knowledge bases, training domain-specific models (e.g., medical, legal), or optimizing content generation capabilities. However, traditional crawlers are far from meeting LLM’s needs: they…