Currently supported versions:

If you discover a security vulnerability, please follow these steps:

Security vulnerabilities should not be disclosed publicly until they are fixed.

Send an email to the maintainers with:

• Description of the vulnerability
• Steps to reproduce
• Potential impact
• Suggested fix (if any)

• You will receive an acknowledgment within 48 hours
• We will investigate and provide updates within 1 week
• Once fixed, we will credit you in the CHANGELOG (if desired)

When using this scraper:

• Never commit API keys or credentials
• Use environment variables for sensitive data
• Add credential files to .gitignore

• Respect the target website's rate limits
• Use reasonable delays between requests
• Monitor for HTTP 429 (Too Many Requests)

• Do not share scraped data publicly without permission
• Respect data privacy regulations (GDPR, etc.)
• Sanitize any personal information before sharing

• Regularly update dependencies
• Check for security vulnerabilities in packages
• Use pip list --outdated to check for updates

• Use HTTPS for all connections
• Verify SSL certificates
• Be cautious with proxy services

The scraper parses HTML content. While BeautifulSoup sanitizes most issues, be cautious when:

• Displaying scraped content in web applications
• Executing scraped content as code
• Storing scraped content in databases

Default User-Agent headers are used to identify the scraper. This is intentional for transparency.

CSV files are stored locally without encryption. For sensitive data:

• Encrypt output files
• Use secure storage solutions
• Implement access controls

Current dependencies:

• requests - HTTP library
• beautifulsoup4 - HTML parser
• pandas - Data manipulation
• lxml - XML/HTML parser

Regular security updates are recommended.

This tool should be used in compliance with:

• Target website's Terms of Service
• Robots.txt directives
• Data protection regulations
• Copyright laws

Remember: With great scraping power comes great responsibility! 🕷️