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EDPB Adopts Guidelines 03/2026 on Web Scraping for Generative AI Training, July 2026

The European Data Protection Board adopted Guidelines 03/2026 at its 122nd Plenary on 8 July 2026, confirming that the GDPR governs web scraping for generative AI training wherever personal data is collected. The guidelines impose purpose-limitation, transparency, and legal-basis obligations on scrapers and reject a blanket AI-training exemption. Public consultation closes 30 October 2026.

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The EDPB adopted Guidelines 03/2026 at its 122nd Plenary session on 8 July 2026, establishing the Board's formal position on GDPR compliance for web scraping operations conducted by private entities for generative AI training. The guidelines are issued under Article 70(1)(e) GDPR and carry adopted status subject to public consultation until 30 October 2026, after which the Board will issue a final version.

The guidelines apply whenever a scraping operation involves the collection, storage, organisation, or retrieval of personal data, regardless of whether the data subject made that data publicly accessible. Legitimate interest under Article 6(1)(f) GDPR is identified as the primary candidate legal basis, requiring a three-part balancing test: a legitimate aim, necessity, and the absence of overriding data subject interests. Processing of special-category data under Article 9 GDPR collected incidentally during scraping — including health information, religious beliefs, biometric data, and sexual-orientation data — requires either explicit consent or a demonstrable Article 9(2) exemption. Purpose limitation under Article 5(1)(b) and transparency under Article 5(1)(a) are treated as threshold compliance conditions that must be satisfied before legal-basis analysis.

Generative AI developers, data pipeline operators, and research institutions scraping EU-resident personal data must document the lawful basis for each scraping operation, provide data subjects with a mechanism to object, and delete or anonymise incidentally collected special-category data where no narrow Article 9(2) basis applies. Platform operators that make data publicly accessible are not relieved of their own GDPR obligations, but primary responsibility rests on the entity conducting the scraping. AI deployers that procure scraped training data from third parties must conduct due diligence on their supplier's GDPR compliance chain.

The guidelines reject a blanket exemption for generative AI training purposes and reject the argument that model training constitutes a compatible secondary purpose under Article 5(1)(b). Whether national scientific-research derogations under Article 89 GDPR can apply to commercial AI training remains an open question on which the EDPB invites stakeholder input during the consultation period. National supervisory authorities retain jurisdiction to enforce against infringements on their territory, and divergence in national interpretations of Article 89 is possible pending the EDPB's final position.

Licentium may advise on GDPR compliance for AI training data pipelines and has a partner network to assist companies operating in the EU digital market. Organisations reviewing scraping practices or training-data provenance in light of Guidelines 03/2026 are welcome to contact us. Work we undertake includes legal-basis analysis for AI training data, legitimate-interest assessments, data protection impact assessments, transparency notice drafting, and supervisory authority engagement.

Source: EDPB, Guidelines 03/2026 on web scraping in the context of generative AI, Version 1.0, 8 July 2026

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