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hiQ v. LinkedIn: User Agreements in the Age of Data Scraping

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On November 4, 2022, LinkedIn announced a “significant win” for the platform and its members against “personal data scraping.” The win resulted from a 6-year legal battle that asked, in part, whether LinkedIn must allow hiQ Labs to scrape data from the public profiles of LinkedIn members.

Last Friday, the U.S. District Court for the Northern District of California answered that question by ruling that LinkedIn’s User Agreement “unambiguously prohibits hiQ’s scraping and unauthorized use of the scraped data.” And as such, hiQ breached LinkedIn’s User Agreement “through its own scraping of LinkedIn’s site and using scraped data.”[1]

An Overview of Data Scraping

Data scraping is a technique by which a computer program extracts data from another program or source. The technique typically uses scraper bots, which send a request to a specific website and, when the site responds, the bots parse and extract specific data from the site in accordance with their creators’ wishes.

Scraper bots can be built for a multitude of purposes, including:

  • Content scraping – pulling content from a site to replicate it elsewhere.
  • Price scraping – extracting prices from a competitor.
  • Contact scraping – compiling email, phone number, and other contact information.

In today’s economy, data is key, and data scraping is an efficient means of acquiring huge amounts of specific data. Yet, this court ruling signals that companies may need to be more cautious about how and where they use data scraping bots.

hiQ’s Data Scraping Violates LinkedIn’s User Agreement

Founded in 2012 as a “people analytics” company, hiQ Labs provides information to businesses about their workforces. To do this, hiQ extensively relied on using automated software to scrape data from LinkedIn’s public profiles. hiQ then aggregated, analyzed, and summarized that data to create two products, “Keeper” and “Skill Mapper,” which allowed businesses to improve their employee engagement and reduce costs associated with external talent acquisition.

However, in 2017, LinkedIn sent a cease-and-desist letter threatening legal action against hiQ, arguing that LinkedIn’s User Agreement prohibits data scraping. Specifically, the User Agreement states:

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Medical stethoscope and blue ink pen laying on appointment booklet. HIPAA privacy notices.

Deidentified Health Info under HIPAA: Deconstructing Dinerstein v. Google, LLC

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HIPAA Lawsuit
Privacy Compliance

Health data is an increasingly fraught area of privacy. Outside of sectoral health privacy laws like HIPAA, many regulations such as the GDPR and the California Privacy Rights Act (CPRA) rightly treat health or biometric information as a sensitive or special category of data deserving of more protections than many other types of data.

The amount of electronic heath data collected by companies is also increasing at a staggering rate. DNA testing kits and wearable fitness trackers are everywhere, and telehealth has proliferated in the wake of COVID-19.

Healthcare data controllers are just as likely to be big tech companies as opposed to traditional covered entities. Consequently, courts now need to consider a variety of privacy frameworks, not just HIPAA and HITECH, when they adjudicate healthcare claims.

In September 2020, the U.S. District Court for the Northern District of Illinois dismissed a lawsuit brought against the University of Chicago and the University of Chicago Medical Center (collectively referred to as “the University”) and Google for allegations that the University improperly disclosed healthcare data to Google as part of a research partnership. Dinerstein v. Google, LLC, No. 19-cv-04311 (N.D. Ill. 2020).

Even though the University and Google were able to shake off this lawsuit, this case touched upon several interesting questions at the intersection of HIPAA and other privacy laws:

Continue Reading Deidentified Health Info under HIPAA: Deconstructing Dinerstein v. Google, LLC