Court Rules That Scraping of Public Data by Competitor Constitutes Trade Secret Misappropriation

The Eleventh Circuit’s ruling in *Compulife Software, Inc. v. Newman* establishes that scraping publicly available data can constitute trade secret misappropriation if the volume and method of collection transform individual public facts into a proprietary compilation. The court determined that while manually accessing isolated quotes is permissible, using automated tools to extract a massive, coherent database poses an unsustainable competitive threat. This distinguishes legitimate data access from improper acquisition, emphasizing that the feasibility of obtaining the entire dataset without automation is key to determining whether the compilation itself holds trade secret status. Regarding copyright, the court reversed the dismissal of the plaintiff’s claims, remanding the case for reconsideration of whether the specific arrangement and organization of the source code elements are protectable. This nuance highlights that even if individual code components are functional or unprotectable, their unique structural arrangement may warrant protection. This decision adds complexity to copyright arguments in scraping disputes, shifting focus from mere copying of code to the creative selection and coordination of data elements. This case is critically relevant to open data practitioners as it signals that public accessibility does not grant unlimited rights to aggregate vast quantities of information. While earlier precedents like *hiQ* favored broader scraping rights under the Computer Fraud and Abuse Act, this ruling introduces significant risk under trade secret laws. Developers and researchers must now assess not just legal access methods, but also the scale and intent of their data extraction, as excessive scraping may be viewed as misappropriation regardless of the data’s public visibility.

Source: natlawreview.com
Published on 2024-09-19

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