数据爬取不正当竞争认定的反思与转进  

Reflections and Progress on the Identification of Unfair Competition by Data Crawling

作　　者：丁国民[1] 陈子剑 DING Guomin;CHEN Zijian(Law School,Fuzhou University,Fuzhou 350108,China)

机构地区：[1]福州大学法学院,福建福州350108

出　　处：《合肥工业大学学报（社会科学版）》2022年第6期24-31,共8页Journal of Hefei University of Technology(Social Sciences)

基　　金：国家社会科学基金青年项目(20CFX052)。

摘　　要：数据爬取作为数据流通的重要手段,具有促进数据再利用与推动创新研发之功能,而受传统侵权保护与强化数据控制思维主导的司法实践近乎一概地将其认定为不正当竞争行为,背离了反不正当竞争法的本质属性。出于行为正当性判断与数据壁垒的防范考量,数据爬取行为的不正当竞争认定应保持足够谦抑和审慎,为技术对抗与技术创新预留空间。在具体的实践进路上,应回归利益衡量分析范式,借助比例原则分析工具,在“宽松审查”基准下,合理划定数据爬取行为的正当性边界。As an important means of data circulation,data crawling has the function of promoting data reuse and advancing innovative research and development.Judicial practices dominated by traditional infringement protection and data control thinking almost universally identify it as an act of unfair competition,which deviates from the essential attributes of the anti-unfair competition law.Due to the judgment of the legitimacy of the behavior and the prevention of data barriers,the identification of unfair competition in data crawling behaviors should be modest and prudent to reserve space for technological confrontation and technological innovation.In the specific practice,we should return to the interest measurement and analysis paradigm,and use the proportionality principle analysis tool to reasonably delineate the legitimacy boundary of data crawling under the benchmark of“relaxed review”.

关 键 词：数据爬取 不正当竞争行为 谦抑理念 利益衡量 比例原则 

分 类 号：D922.29[政治法律—经济法学]