AI 时代网络数据抓取技术的机遇与挑战探索

AI 时代网络数据抓取技术的机遇与挑战探索

陈维薇

（浙江省金融职业学院，浙江    杭州    310018）

【摘    要】在人工智能技术日新月异的背景下，本文聚焦于网络数据抓取技术的发展现状与应用前景。通过评估机器学习、自然语言处理和深度学习等 AI 技术在数据抓取策略优化、文本理解提升，以及图像与视频数据采集中的应用，本文揭示了 AI 在推动数据抓取技术进步方面的潜力。此外，文章还分析了 AI 技术如何应对反爬虫技术、控制数据质量和实现多模态数据抓取，为网络数据抓取领域的创新提供了实践指导。

【关键词】人工智能； 网络数据抓取；发展与应用

Exploring the Opportunities and Challenges of Web Data Extraction Technology in the AI Era

Weiwei Chen

(Zhejiang Financial College, Hangzhou, Zhejiang 310018)

Abstract: Against the backdrop of rapidly evolving artificial intelligence technology, this paper focuses on the current state and future prospects of web data extraction technology. By evaluating the application of AI technologies such as machine learning, natural language processing, and deep learning in optimizing data extraction strategies, enhancing text comprehension, and capturing image and video data, this paper reveals the potential of AI in driving the advancement of data extraction technology. Furthermore, the article analyzes how AI technology addresses anti-crawling techniques, controls data quality, and achieves multimodal data extraction, providing practical guidance for innovation in the field of web data extraction.

Keywords: Artificial Intelligence; Web Data Extraction; Development and Application