With the rapid development of large language models and artificial intelligence, NLP data collection has become a critical foundation for building AI systems. Whether for LLM training, intelligent search, or text analysis, high-quality natural language data is essential.

However, as data scale increases and anti-bot systems become more advanced, traditional scraping methods are no longer sufficient for long-term stable operation. Improving collection efficiency and system stability has become a key challenge.

I. What Is NLP Data Collection?

Natural Language Processing (NLP) is mainly used to help computers understand, analyze, process, and generate human language.…