ZhiHuSpider is a specialized web scraper designed for extracting content from Zhihu, a prominent Chinese question-and-answer platform. This tool enables automated collection of diverse data types including user discussions, specific topics, detailed questions, comprehensive answers, and nested comments. It is engineered for efficiency and scalability by leveraging asyncio to support high-concurrency asynchronous operations, allowing users to gather large volumes of data rapidly without blocking execution. The software also features robust multi-user login support, facilitating distributed crawling tasks across different account sessions to enhance access and reduce rate limiting risks. By automating the retrieval of structured information from dynamic web pages, ZhiHuSpider serves as an essential utility for researchers, data analysts, and developers seeking to analyze public opinion trends, study engagement patterns, or build datasets based on Zhihu content. Its design prioritizes performance and flexibility