Home - rmc0315/firecrawl-ollama-system GitHub Wiki

🔥 Welcome to the Universal Firecrawl + Ollama Wiki!

Your comprehensive guide to AI-powered web analysis with complete privacy and universal compatibility

🚀 What Is This Project?

The Universal Firecrawl + Ollama Integration System is a powerful tool that combines web scraping with local AI analysis. It automatically detects your Ollama models and creates professional reports from any website - all while keeping your data completely private.

Key Features:

  • 🤖 Universal Model Detection - Works with ANY Ollama setup
  • 🔒 100% Local AI Processing - Your data never leaves your machine
  • 📊 Professional Reports - 6 export formats including interactive charts
  • 🌍 Cross-Platform - Windows, macOS, and Linux support
  • ⚙️ Zero Configuration - Just works out of the box

📚 Quick Navigation

🎯 Getting Started

💡 Learning & Examples

🔧 Advanced Topics

🤝 Community


🎉 Featured Content

🏆 Analysis of the Week

Each week we'll feature an outstanding analysis from the community

Coming Soon! - Submit your best analyses to be featured

📈 Popular Use Cases

  1. Market Research - Competitive analysis and industry insights
  2. Academic Research - Literature reviews and data collection
  3. Business Intelligence - Website monitoring and trend analysis
  4. Content Strategy - Understanding successful content patterns

🔥 New This Week

Recent additions to the wiki

  • Wiki launch! 🎉
  • Getting Started guide
  • First community examples (coming soon!)

🌟 Why Use This System?

🔒 Privacy First

Unlike cloud-based AI tools, your data stays on your machine. Perfect for:

  • Confidential business research
  • Academic work with sensitive sources
  • Personal projects requiring privacy
  • Compliance with data protection regulations

💰 Cost Effective

  • No monthly AI costs - Use your local models
  • Only pay for web scraping - Firecrawl's affordable API
  • No usage limits - Analyze as much as you want
  • Scale without scaling costs - Perfect for heavy users

🎯 Universal Compatibility

  • Any Ollama models - Llama, Qwen, Phi, Mistral, custom models
  • Any system - Works on any computer that runs Python
  • Any use case - From quick summaries to detailed research
  • Any skill level - Beginners to experts

🚀 Quick Start

Ready to dive in?

  1. Install the system - 5-minute setup
  2. Run your first analysis - See it in action
  3. Explore examples - Get inspired
  4. Join the community - Ask questions and share results

New to AI or web scraping?


📊 Project Stats

  • 🎂 Project Age: Since December 2024
  • 👥 Contributors: Robert & Dalton Clouthier (+ growing community!)
  • 🌍 Supported Platforms: Windows, macOS, Linux
  • 🤖 Compatible Models: All Ollama models
  • 📚 Documentation Pages: 8+ comprehensive guides
  • ⭐ GitHub Stars: Growing daily!

💬 Community & Support

Get Help

Contribute

Stay Updated

  • ⭐ Star the repository - Never miss an update
  • 👀 Watch releases - Get notified of new features
  • 💬 Join discussions - Be part of the conversation

🎯 What's Next?

Upcoming Features

  • Batch processing - Analyze multiple URLs simultaneously
  • Web interface - Optional browser-based UI
  • Advanced charts - More visualization options
  • Team features - Collaboration and sharing tools

Community Goals

  • 100+ wiki pages - Comprehensive knowledge base
  • 50+ examples - Real-world use cases and results
  • 1000+ users - Growing global community
  • Multi-language support - Accessible worldwide

Welcome to the community! We're excited to see what amazing analyses you'll create. 🌟

This wiki is maintained by the community. Everyone can contribute - your knowledge and examples help make this resource better for everyone!