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GDPR: guides & tutorials
GDPR affects personal data scraped from EU pages—lawful basis, retention, erasure. Minimize fields and document purpose before storing extracted profiles.
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GDPR shapes how you handle personal data scraped from EU pages: lawful basis, retention limits, and the right to erasure. These guides cover staying compliant when extracted records include personal information.
The safe pattern is to minimize fields, document purpose, and avoid storing personal data you do not need. Below you will find practical GDPR guidance for scraping programs that touch EU data.

This guide is a practical compliance primer for engineers and operators: what courts and regulators usually care about, how to reduce risk, and where tools like Apify fit. It is not legal advice. Laws differ by country and industry, and facts control outcomes—always consult a qualified lawyer for your specific use case, especially where personal data, logins, or regulated sectors are involved.
For US/EU case context (hiQ, CFAA framing, robots/ToS) and a structured 2026 compliance framework, see Web scraping legal compliance framework (2026). For AI-era policy and traceability, see Legal architecture for AI training data (2026). This page stays focused on rules of the road and checklists you can use with your legal team.