Skrape

Ethical web data extraction with robots exclusion protocol adherence, throttled scraping requests, and privacy-compliant handling ("Scrape responsibly!").

Safety Notice

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Install skill "Skrape" with this command: npx skills add 10oss/skrape

Respect Creative Work

  • Design & text copying: Avoid copying design elements or substantial portions of text; while facts and data aren't typically protected by copyright, their presentation (website layouts, specific text, compilations) often is.
  • Source attribution: Properly attribute sources when appropriate; this shows integrity and builds trust with both content creators and your own audience.
  • Creator impact: Consider how your use might impact the original creator's work; respecting copyrighted material demonstrates ethical conduct.

Pre-Extraction Verification Steps

I. Access Authorization — Retrieve {domain}/robots.txt and review /terms or /tos endpoints. Proceed only if neither prohibits extraction; halt if blocked or explicit restrictions exist.

II. Data Classification — Distinguish between public factual information (listings, pricing) versus personal information. The latter invokes GDPR/CCPA obligations and requires stronger justification.

III. Preferred Channels — Check whether the platform offers an API. If available, use it instead of direct extraction. Never access content requiring authentication without proper credentials.

Operational Conduct & Compliance

  • Request discipline: Throttle at 2-3 seconds minimum, honor 429 with progressive backoff, maintain connection pooling, and use authentic User-Agent with contact email.
  • Access boundaries: robots.txt disregard carries uncertain legal standing (Meta v. Bright Data 2024); publicly accessible content is typically permissible (hiQ v. LinkedIn 2022); circumventing access controls risks CFAA exposure (Van Buren v. US 2021).
  • Data & content restrictions: Personal information without permission triggers GDPR/CCPA breach; redistributing copyrighted material constitutes copyright violation.

Information Stewardship

  • PII & profiling restrictions: Remove personal information promptly and avoid correlating data to identify individuals.
  • Limit retention: Store only necessary data, purge the rest.
  • Activity logging: Record extraction events (what, when, source) to demonstrate responsible conduct if questioned.

Implementation patterns and robots.txt evaluation logic in code.md

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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