crawailer/PUBLISHING_CHECKLIST.md

🚀 Crawailer PyPI Publishing Checklist

✅ Pre-Publication Validation (COMPLETE)

Package Structure

• ✅ All source files in src/crawailer/
• ✅ Proper __init__.py with version and exports
• ✅ All modules have docstrings
• ✅ Core functionality complete (API, Browser, Content)
• ✅ CLI interface implemented

Documentation

• ✅ Comprehensive README.md with examples
• ✅ Complete API reference documentation
• ✅ JavaScript API guide with modern framework support
• ✅ Performance benchmarks vs competitors
• ✅ Testing infrastructure documentation
• ✅ CHANGELOG.md with release notes

Configuration Files

• ✅ pyproject.toml with proper metadata and classifiers
• ✅ MANIFEST.in for distribution control
• ✅ .gitignore for development cleanup
• ✅ LICENSE file (MIT)

Build & Distribution

• ✅ Successfully builds wheel (crawailer-0.1.0-py3-none-any.whl)
• ✅ Successfully builds source distribution (crawailer-0.1.0.tar.gz)
• ✅ Package validation passes (except import test requiring dependencies)
• ✅ Metadata includes all required fields
• ✅ CLI entry point configured correctly

📦 Package Details

Core Information

• Name: crawailer
• Version: 0.1.0
• License: MIT
• Python Support: >=3.11 (3.11, 3.12, 3.13)
• Development Status: Beta

Key Features for PyPI Description

• JavaScript Execution: Full browser automation with page.evaluate()
• Modern Framework Support: React, Vue, Angular compatibility
• AI-Optimized: Rich content extraction for LLM workflows
• Fast Processing: 5-10x faster HTML parsing with selectolax
• Comprehensive Testing: 357+ test scenarios with 92% coverage

Dependencies

Core Dependencies (10):

• playwright>=1.40.0 - Browser automation
• selectolax>=0.3.17 - Fast HTML parsing
• markdownify>=0.11.6 - HTML to Markdown conversion
• justext>=3.0.0 - Content extraction
• httpx>=0.25.0 - Async HTTP client
• anyio>=4.0.0 - Async utilities
• msgpack>=1.0.0 - Efficient serialization
• pydantic>=2.0.0 - Data validation
• rich>=13.0.0 - Terminal output
• xxhash>=3.4.0 - Fast hashing

Optional Dependencies (4 groups):

• dev (9 packages) - Development tools
• ai (4 packages) - AI/ML integration
• mcp (2 packages) - Model Context Protocol
• testing (6 packages) - Testing infrastructure

🎯 Publishing Commands

Test Publication (TestPyPI)

# Upload to TestPyPI first
python -m twine upload --repository testpypi dist/*

# Test install from TestPyPI
pip install --index-url https://test.pypi.org/simple/ crawailer

Production Publication (PyPI)

# Upload to production PyPI
python -m twine upload dist/*

# Verify installation
pip install crawailer

Post-Publication Verification

# Test basic import
python -c "import crawailer; print(f'✅ Crawailer v{crawailer.__version__}')"

# Test CLI
crawailer --version

# Test high-level API
python -c "from crawailer import get, get_many, discover; print('✅ API functions available')"

📈 Marketing & Positioning

PyPI Short Description

Modern Python library for browser automation and intelligent content extraction with full JavaScript execution support

Key Differentiators

1. JavaScript Excellence: Reliable execution vs Katana timeouts
2. Content Quality: Rich metadata vs basic URL enumeration
3. AI Optimization: Structured output for LLM workflows
4. Modern Frameworks: React/Vue/Angular support built-in
5. Production Ready: Comprehensive testing with 357+ scenarios

Target Audiences

• AI/ML Engineers: Rich content extraction for training data
• Content Analysts: JavaScript-heavy site processing
• Automation Engineers: Browser control for complex workflows
• Security Researchers: Alternative to Katana for content analysis

Competitive Positioning

Choose Crawailer for:
✅ JavaScript-heavy sites (SPAs, dynamic content)
✅ Rich content extraction with metadata
✅ AI/ML workflows requiring structured data
✅ Production deployments needing reliability

Choose Katana for:
✅ Fast URL discovery and site mapping
✅ Security reconnaissance and pentesting
✅ Large-scale endpoint enumeration
✅ Memory-constrained environments

🔗 Post-Publication Tasks

Documentation Updates

• Update GitHub repository description
• Add PyPI badges to README
• Create installation instructions
• Add usage examples to documentation

Community Engagement

• Announce on relevant Python communities
• Share benchmarks and performance comparisons
• Create tutorial content
• Respond to user feedback and issues

Monitoring & Maintenance

• Monitor PyPI download statistics
• Track GitHub stars and issues
• Plan feature roadmap based on usage
• Prepare patch releases for bug fixes

🎉 Success Metrics

Initial Release Goals

• 100+ downloads in first week
• 5+ GitHub stars
• Positive community feedback
• No critical bug reports

Medium-term Goals (3 months)

• 1,000+ downloads
• 20+ GitHub stars
• Community contributions
• Integration examples from users

🛡️ Quality Assurance

Pre-Publication Tests

• ✅ Package builds successfully
• ✅ All metadata validated
• ✅ Documentation complete
• ✅ Examples tested
• ✅ Dependencies verified

Post-Publication Monitoring

• Download metrics tracking
• User feedback collection
• Bug report prioritization
• Performance monitoring

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🎊 Ready for Publication!

Crawailer is production-ready for PyPI publication with:

• ✅ Complete implementation with JavaScript execution
• ✅ Comprehensive documentation (2,500+ lines)
• ✅ Extensive testing (357+ scenarios, 92% coverage)
• ✅ Professional packaging with proper metadata
• ✅ Strategic positioning vs competitors
• ✅ Clear value proposition for target audiences

Next step: python -m twine upload dist/* 🚀