蜘蛛、爬虫和机器人：限制数据汇集的合同的经济效率和公共政策
Spiders and Crawlers and Bots, Oh My: The Economic Efficiency and Public Policy of Contracts that Restrict Data Collection
摘要：
最近的趋势表明，公司正在寻找法律手段，以防止对网站上发布的信息进行不受欢迎和未经授权的复制。这场争论的中心是元网站，即显示各种供应商价格的网站。Metasites通过实现购物机器人来发挥作用，这些购物机器人从其他供应商的网站中提取定价数据。事实证明，技术机制在阻止购物机器人方面并不成功，作为回应，网站提出了各种法律主张。最近的两个案例依赖于棘手的侵犯动产原则，表明合同法可能提供一种要求不那么严格的法律方法来防止数据机器人搜索网站。如果阻止收集定价数据就像发布在线合同一样简单，那么就会产生这样的最终结果是否可取和法律上是否可行的问题。
英文摘要：
Recent trends reveal the search by companies for a legal hook to prevent the undesired and unauthorized copying of information posted on websites. In the center of this controversy are metasites, websites that display prices for a variety of vendors. Metasites function by implementing shopbots, which extract pricing data from other vendors' websites. Technological mechanisms have proved unsuccessful in blocking shopbots, and in response, websites have asserted a variety of legal claims. Two recent cases, which rely on the troublesome trespass to chattels doctrine, suggest that contract law may provide a less demanding legal method of preventing the search of websites by data robots. If blocking collection of pricing data is as simple as posting an online contract, the question arises whether this end result is desirable and legally viable.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
