Published on JD Supra on October 29, 2019
The Ninth Circuit Court of Appeals recently handed open internet advocates a big win by upholding the right of a data analytics startup to use automated bots to scrape publicly available data (hiQ Labs, Inc. v. LinkedIn Corp., No. 17-16783 (9th Cir. Sept. 9, 2019)). Although the Ninth Circuit did not definitively resolve the legal dispute between hiQ and LinkedIn, the court affirmed the district court’s preliminary injunction against LinkedIn, and found that hiQ’s automated scraping of publicly accessible data likely does not violate the Computer Fraud and Abuse Act (“CFAA”).
hiQ responded by filing suit against LinkedIn, seeking injunctive relief and a declaratory judgement that LinkedIn could not lawfully invoke the CFAA, among other state, federal and common law claims threatened by LinkedIn.
The CFAA is one statute frequently used by companies who seek to stop third-parties from harvesting data, and imposes liability on anyone who “intentionally accesses a computer without authorization, or exceeds authorized access, and thereby obtains … information from any protected computer.” The Supreme Court has held that the CFAA “provides two ways of committing the crime of improperly accessing a protected computer: (1) obtaining access without authorization; and (2) obtaining access with authorization but then using that access improperly.” Musacchio v. United States, 136 S. Ct. 709, 713 (2016).
The district court also found that LinkedIn’s interpretation of the CFAA would allow a company to revoke authorization to a publicly available website at any time and for any reason, and then invoke the CFAA for enforcement, exposing an individual to both criminal and civil liability. The district court characterized the possibility of criminalizing the act of viewing a public website in violation of an order from a private entity as “effectuating the digital equivalence of Medusa.”
On September 9, 2019, the Ninth Circuit affirmed the district court’s finding that hiQ had established the elements required for a preliminary injunction against LinkedIn.
In its opinion, the Ninth Circuit stated that the pivotal CFAA question was whether hiQ’s scraping activities and use of LinkedIn’s data after receiving the cease-and-desist letter was “without authorization” under the CFAA. The court noted that it had previously found that “without authorization” is a “non-technical term that, given its plain and ordinary meaning, means accessing a protected computer without permission.” In addition, the court found that the statute’s legislative history provided support for the court’s interpretation of “without authorization” because the “CFAA was enacted to prevent intentional intrusion onto someone else’s computer—specifically, computer hacking,” and noted that the CFAA is an anti-intrusion statute and not a misappropriation statute.
The Ninth Circuit also found that the CFAA’s legislative history is clear that “the prohibition on unauthorized access is properly understood to apply only to private information—information delineated as private through use of a permission requirement of some sort.” The court noted that LinkedIn’s claim that its users have an expectation of privacy in their public profiles was undercut by several features that LinkedIn makes available on its platform, including LinkedIn’s “Recruiter” feature, which allows recruiters to follow prospects and receive alerts when prospects change their profiles, all without the prospect’s knowledge.
The Ninth Circuit’s finding that a person has not accessed a computer “without authorization” in violation of the CFAA if a platform generally permits public access to data is a significant win for web scrapers and others that may access publicly available information in a manner objectionable to online publishers. However, because other federal circuit courts have conflicting interpretations of the CFAA’s scope, and the Ninth Circuit left open the possibility that online publishers may have other causes of action against web scrapers, the law applicable to data scraping is far from settled.