摘要
网络爬虫在科研和分析工作的数据收集阶段展现出了显著的优势,但现有爬虫系统需要复杂的分析方法及构建流程,阻碍了爬虫技术的广泛应用。针对上述问题,提出一种简单且有效的爬虫系统分解方法。首先,将复杂的爬虫系统分解为多个子系统,使爬虫系统更加容易被分析、设计及应用。其次,构建一个爬虫系统的工具箱,用于帮助研究人员直接应用该分解方法来构建高效的爬虫系统。最后,通过可靠性、稳定性和易用性实验,证明所提出的分解方法及工具箱具有良好的性能及实际应用效果。
Web crawlers show significant advantages in the data collection phase of research and analysis.However,existing crawler systems require complex analysis method and construction process,which hinders the widespread application of crawler technology.To address these issues,a simple and effective method for decomposing crawler systems is proposed,which decomposes the complex crawler system into multiple subsystems,making it easier to analyze,design,and apply the crawler system.And a toolbox for crawler systems is constructed to help researchers directly apply the decomposition method proposed in this paper to building of high-efficiency crawler systems.Finally,through experiments on reliability,stability,and usability,it is demonstrated that the proposed decomposition method and toolbox have good performance and practical application effect.
作者
李武第
LI Wudi(School of Information Engineering,Minzu University of China,Beijing 100081,China)
出处
《应用科技》
CAS
2024年第5期292-297,共6页
Applied Science and Technology
关键词
数据获取
深度学习
爬虫系统
软件支持
链接池
链接预测
系统解构
工具箱
data acquisition
deep learning
web crawling system
software support
link pool
link prediction
system decomposition
toolbox
