BookScrapeDB_Recommends is an educational/personal production-scale data engineering platform that processes publicly available literature data from multiple sources (Legacy Goodreads datasets/sites, Google APIs+Google Books, OpenLibrary, external catalogs, and others).

Key Security & Compliance Principles:

• 🔒 Privacy-first: All user identities anonymized; no PII (emails, passwords, private data) collected
• 🌐 Multi-source: Aggregates data from diverse platforms (Google Books reviews, OpenLibrary community content, external literary databases)
• ⚖️ Compliance-aware: Rate limiting, robots.txt adherence, transparent practices
• 📚 Educational purpose: Demonstration of ETL/analytics architecture; production use requires platform authorizations
• 🛡️ Code obfuscation: Prevents large-scale misuse while maintaining open-source transparency

Always consider Third-party ToS, Privacy Policy, Compliance, Data handling, integrity, Specific Regulations

DO NOT publicly disclose security vulnerabilities via GitHub Issues.

For security issues, contact privately:

• Open a Security Advisory
• Or email the maintainer directly (see GitHub profile)

Please include:

1. Description of the vulnerability
2. Steps to reproduce
3. Potential impact
4. Suggested fix (if applicable)

• Acknowledgment: Within 48 hours if from authoritative entity, else up to few weeks
• Initial assessment: Within 7 days if from authoritative entity, else up to a month
• Fix timeline: Depends on severity
  • Critical: 1-3 days
  • High: 1-2 weeks
  • Medium/Low: Best effort

We follow coordinated disclosure:

1. Issue is privately reported
2. Fix is developed and tested
3. Security advisory is published with credit to reporter
4. Public disclosure after fix is deployed

NEVER commit API keys to the repository.

• Use environment variables
• Add .env files to .gitignore
• Rotate keys if accidentally exposed

• Review Privacy policy docs
• Ensure compliance with data protection regulations
• Anonymize user data in all outputs

• Respect platform rate limits to avoid IP bans
• Configure delays appropriately (see Data Compliance docs)
• Monitor for excessive request volumes

• Regularly update dependencies: pip install --upgrade -r requirements.txt
• Review security advisories for third-party packages
• Use virtual environments to isolate dependencies

• ❌ Enterprise-scale commercial deployment without explicit proper authorization/agreements with affected third parties
• ❌ Circumventing platform security measures
• ❌ Storing or transmitting sensitive user credentials
• ❌ Bulk redistribution of copyrighted content

This project assumes:

• Users operate in trusted environments
• Local file system access is secured
• Database credentials are properly protected
• API keys are stored securely

• OWASP Top 10
• GitHub Security Best Practices
• Platform-specific security: see Data Compliance docs

Thank you for helping keep this project secure!