How do web scraping services handle GDPR and CCPA compliance?
Under GDPR and CCPA, a web scraping service acts as a data processor while the customer running the scrapes is the data controller. The service is responsible for how it stores, transmits, and secures data on your behalf (encryption in transit and at rest, access controls, a signed Data Processing Agreement, and often an ISO 27001 or SOC 2 audit trail). You are responsible for the choices upstream of that: whether you have a lawful basis for collecting personal data, whether you're practicing data minimization, and whether the specific fields you extract are consistent with the source site's terms and applicable privacy law. A reputable vendor can hand you the compliant infrastructure, but it can't decide for you whether a given scrape is lawful.
| Responsibility | Web scraping service (processor) | Customer (controller) |
|---|---|---|
| Data in transit | TLS everywhere | Verify endpoints |
| Data at rest | Encrypted storage, key rotation | Choose retention window |
| Access control | API keys, SSO on enterprise | Restrict who holds keys |
| DPA | Provides one | Signs and stores it |
| Lawful basis | Not the vendor's call | Documented per scrape target |
| Data minimization | Supports schema-based extraction | Requests only the fields needed |
| Subject requests | Passes through to controller | Handles deletion, access, portability |
Ask a vendor for compliance in the shape you actually need: a DPA and encryption baseline for any scraping of European or Californian data, ISO 27001 or SOC 2 if you're in a regulated industry, and clear retention defaults so you know how long scraped payloads sit on their side. Use it as one input, not a substitute, for a legal review on high-risk sources like login-protected content, health data, or minor-related content.
Firecrawl's zero data retention mode is designed for this shape: results stream back to you without persistent storage of the scraped payload on Firecrawl infrastructure, which shrinks the surface area you need to reason about for GDPR and CCPA. Combined with schema-based extraction you can pull only the fields your use case needs, which is the data minimization principle both regulations lean on. Pair with ethical web scraping practices for the operational side (robots.txt, rate limits, caching) that regulators and target sites both look at.
What Firecrawl provides as a processor
Firecrawl is built to be enterprise-ready on the processor side of that table. These managed controls may meet your data-handling requirements, but data is still processed on Firecrawl's infrastructure, so self-host when it must never leave your network:
- SOC 2 Type II compliance, with the annual renewal audit in progress and the latest penetration test available from the Trust Center.
- A Data Processing Agreement and custom MSAs for Enterprise customers, plus support for vendor security reviews.
- Zero data retention for scrape, batch scrape, crawl, parse, search, interact, and agent (an agent result stays retrievable for 24 hours, then is deleted) on Enterprise plans. For endpoint-by-endpoint details, including the two search ZDR modes, read Zero Data Retention across Firecrawl.
- PII redaction to strip personal data from scrape output.
- SAML or OIDC single sign-on and SCIM, IP allowlisting, and per-key restrictions to control who can call the API.
- US data residency.
The enterprise docs have the full list.