摘要
作为数据时代的新型商业行为,数据抓取既具有中立性,也具有竞争性,体现了平台企业间数据共享利益与数据竞争利益之间的博弈。我国竞争法对数据抓取行为的规制主要适用一般条款与互联网专条,然而条款的模糊性、商业道德的不确定性、法官的权益侵害式判断逻辑都不利于对数据抓取行为正当性的合理界定。实践中应当从数据抓取的行为本身出发,秉承社会福祉最大化理念,运用狭义比例原则对数据抓取行为进行衡量。
As a novel commercial behavior in the data era,data scraping is both neutral and competitive,reflecting the dynamics between platform enterprises regarding data sharing and competing data interests.The regulation of data scraping under China's competition law primarily relies on general provisions and internet-specific clauses.However,the vagueness of provisions,the uncertainty of business ethics standards,and the judges'rightsinfringement-based logic hinder a reasonable determination of the legitimacy of data scraping activities.suggests starting with the behavior of data scraping itself,adhering to the concept of maximizing social welfare,and apply the narrow proportionality principle to assess the legitimacy of data scraping actions.
作者
丁国峰
王静
DING Guo-feng;WANG Jing(School of Law,Anhui University,Hefei 230601,Anhui,China)
出处
《贵阳学院学报（社会科学版）》
2024年第5期68-73,共6页
Journal of Guiyang University:Social Sciences
基金
国家社科基金一般项目“数字经济时代大数据市场限制竞争行为法律规制研究”的部分研究成果(项目编号:20BFX149)。
关键词
数据抓取
网络爬虫
反不正当竞争法
法律规制
data scraping
web crawler
Anti-Unfair Competition Law
legal regulation
