At this stage of AI development, the performance of Large Language Models (LLMs) heavily depends on the quality of external data input. It's a known fact that current AI can still generate false information or experience LLM hallucinations just to appear knowledgeable. But don't worry—by leveraging Web Data APIs and RAG (Retrieval-Augmented Generation), developers can equip AI with the ability to search the web, extract in-depth content, and generate evidence-based answers. Spider: Rust-Based High-Concurrency Web Crawler API Spider is a web scraping API built for ultimate performance. Written in Rust, it is deeply optimized specifically for AI applications. This tool supports the highly concurrent scraping of thousands of pages and can directly return cleaned Markdown or structured JSON data. Spider's workflow is divided into three stages: crawling, processing, and delivery.…