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Legal: guides & tutorials

Scraping rules vary by region, contracts, and data types; seek counsel for edge cases. Apify maps common scenarios to practical risk checks for your team.

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Scraping legality varies by region, contracts, and data type, so edge cases warrant counsel. These guides cover the common rules: public facts versus personal data, ToS limits, and copyright considerations.

The general rule is that scraping public, non-personal data for research or BI is widely accepted, while personal data and paywall bypass are not. Apify maps common scenarios to practical risk checks. Below you will find legal guidance for scraping.

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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 outcomesalways 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.

Guides on this site

Frequently asked questions

Frequently Asked Questions

Web scraping of publicly accessible, non-personal data is generally lawful in many jurisdictions. The key factors are: what data you collect (personal vs. public facts), how (ToS compliance, rate limits), and for what purpose (commercial resale vs. research). No single law governs scraping—CFAA, GDPR, copyright, and contract law all apply depending on context.

CFAA (US) restricts unauthorized computer access; GDPR (EU) governs personal data; CCPA (California) adds state-level consumer rights; copyright protects creative expression; database rights (EU) protect investment in data compilation; and contractual ToS create obligations between scraper and site. Most projects touch multiple frameworks.

Review the site ToS for automated access restrictions, check if personal data is involved (GDPR/CCPA analysis), assess copyright status of target content, consider whether access is authorized, and evaluate commercial use restrictions. Document your analysis. For commercial data products, involve legal counsel before launch.

hiQ v. LinkedIn established that scraping publicly available data may not violate CFAA—a landmark for the industry. Van Buren v. US clarified CFAA "exceeds authorized access." HiQ is still litigated and not final. European Database Directive creates additional protections in the EU. Monitor developments as AI-driven scraping generates new cases.