Data Scraping: The EU & U.S. Legal Frameworks
Data Scraping: The EU & US Legal Frameworks

Data Scraping: The EU & U.S. Legal Frameworks

"Data is the new oil," and in many ways, AI is its refinery. This analogy highlights a crucial point: AI needs vast amounts of data to function effectively. As AI systems strive for more precise and error-free outputs, providers continuously seek new data sources, including user inputs and publicly accessible information. One common method for gathering this data is through data scraping.

Data scraping, or web scraping, is the process of using scripts or software to extract data from websites, mimicking human browsing to collect publicly available information and sometimes personal data. This practice resides in a legal grey area. While not outright illegal, its permissibility depends on the data involved, the purpose behind the scraping, and the methods used.

The legality of data scraping is fraught with ambiguity. Although the act itself isn't automatically unlawful, engaging in data scraping can lead to legal issues, including breaches of websites' Terms of Service, violations of privacy and data protection laws, copyright infringements, and allegations of "unethical behavior."

Here's an in-depth look at the key components of the EU and U.S. legal frameworks governing data scraping:

EU-based Legal Framework

The European Union (EU) adopts a detailed perspective on data scraping, guided by two pivotal regulations: the General Data Protection Regulation (GDPR) and the Database Directive.

  • Under the GDPR: The presence of personal data within scraped information necessitates compliance with GDPR mandates. Data scraping entities must justify their data processing on grounds such as consent or legitimate interest. Moreover, transparency with individuals about the usage of their data is paramount, alongside adhering to principles of data minimization and respecting individuals' rights over their data.
  • Database Directive: This directive shields databases that represent a significant investment in their creation and maintenance. It restricts unauthorized extraction or extensive reuse of database contents, although certain exceptions exist for private use, education, or research.

Legal Implications and Exceptions:

  • Terms of Service (ToS) Concerns: While breaching ToS may not constitute an illegal act, it often leads to civil litigation. EU jurisprudence sometimes views scraping that contravenes ToS as a contractual breach.
  • Competition Law: Data scraping might intersect with competition law, particularly when it seeks to undercut competitors unfairly or harvests proprietary information.
  • Technical and National Law Considerations: EU entities employing technical barriers against scraping pose a challenge; circumventing these can be legally risky. Additionally, EU-wide regulations coexist with country-specific laws, potentially complicating the legal landscape for data scraping.

A EU Court Case To Read: Innoweb BV v. Wegener

The Court of Justice of the European Union's (CJEU) ruling in the Innoweb case illuminates the tension between innovation and database rights. The court found that meta search engines, like Innoweb's, which aggregate content from various databases (in this instance, car dealerships), could infringe upon the rights of database producers as outlined in the Database Directive. This decision underscores the Directive's protective scope, establishing a precedent that could influence future data scraping and aggregation practices within the EU.

U.S.-based Legal Framework

Unlike the European Union, which has a cohesive approach through GDPR, the United States approaches data scraping through a patchwork of federal and state laws, alongside judicial interpretations that shape the boundaries of this practice.

Federal Foundations:

  • Computer Fraud and Abuse Act (CFAA): At the heart of U.S. cyber law, the CFAA criminalizes unauthorized access to computer systems. Data scraping, particularly when bypassing explicit access controls, can fall foul of this law. However, the interpretation of "unauthorized access" has seen varying judicial outcomes, especially when juxtaposed with website terms of service violations.
  • Digital Millennium Copyright Act (DMCA): This statute comes into play when scraped data is copyrighted. The act's anti-circumvention provisions could make bypassing digital locks to access copyrighted content a punishable offense.

State-Level Considerations:

  • State-Specific Legislation: Various states, like California with its Computer Data Access and Fraud Act, echo the CFAA's sentiments, yet introduce their nuances at the state level. These laws often extend to the protection of personal data beyond mere access issues.

Legal Implications and Exceptions:

  • Contract Law and Terms of Service: The legality of data scraping is also tangled with contractual agreements. Many websites' terms of service expressly forbid scraping, positioning potential violations as breach of contract issues.
  • Trespass to Chattels: This traditional tort law principle has found new relevance in the digital age, addressing unauthorized interference with personal property, including servers impacted by scraping activities.
  • Federal Trade Commission (FTC) Oversight: The FTC's role emphasizes consumer protection, targeting unfair or deceptive practices in data scraping that compromise consumer privacy or break established data usage agreements.
  • Protection of Trade Secrets and Competition Law: Data scraping involving proprietary information risks violating trade secret protections. Furthermore, scraping aimed at competitive advantages might trigger antitrust scrutiny.

A U.S. Court Case To Read: hiQ Labs, Inc. v. LinkedIn Corp.

This pivotal case highlights the nuanced legal landscape of data scraping. The Ninth Circuit's endorsement of scraping publicly accessible data underscores a potential leniency towards scraping activities, provided they do not infringe on privacy or access controls. This case accentuates the fine line between legal data use and unauthorized access, stressing the importance of transparency and ethical considerations in data scraping practices.


Data scraping in the realm of AI is not a domain with straightforward answers or regulations, landing squarely in the legal realm's favorite category of "It Depends." In this world of uncertainties, the role of legal counsel becomes crucial in establishing a safe environment and crafting boundaries within which a company can grow both legally and ethically.

Andrea Foglia

I help connecting the dots between academic research and industrial innovation

9mo

Very good article

Ricardo Cali

INTELLECTUAL PROPERTY SOLUTIONS | IP MANAGEMENT EXPERT | ACCOUNT MANAGER | INVENTOR IN 90+ Patents | AUTHOR

9mo

Great article!

This is a very important topic to raise with no easy solution. A lot scraping is done on public databases with no or extremely limited transparency of who the scrapers are to those whose data is being scraped.

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