# ShopAgent **Repository Path**: openclaw-projects-admin/ShopAgent ## Basic Information - **Project Name**: ShopAgent - **Description**: 跨境电商 选品项目 - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-05-12 - **Last Updated**: 2026-05-12 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # 🛍️ E-commerce AI Agent > **Intelligent multi-platform product search agent powered by AI, LangChain, and MCP (Model Context Protocol)** An advanced AI-powered e-commerce search agent that simultaneously searches across multiple online platforms, providing intelligent product comparisons with structured results, price analysis, and smart recommendations. ![Python](https://img.shields.io/badge/python-v3.13+-blue.svg) ![Flask](https://img.shields.io/badge/flask-v3.1+-green.svg) ![LangChain](https://img.shields.io/badge/langchain-v0.3+-orange.svg) ![License](https://img.shields.io/badge/license-MIT-blue.svg) ## ✨ Features ### 🎯 Core Capabilities - **Multi-Platform Search**: Simultaneously search across 11+ e-commerce platforms - **AI-Powered Intelligence**: GPT-4o with ReAct agents for smart decision making - **Structured Responses**: Organized results using Pydantic models with type validation - **Smart Analysis**: Intelligent price comparison, rating analysis, and best deal detection - **Professional Web Interface**: Modern Bootstrap-based responsive frontend - **Multiple MCP Providers**: Support for BrightData, FireCrawl, and Tavily ### 🌍 Supported Platforms | Platform | Region | Type | Availability | |----------|--------|------|--------------| | 🔸 **Amazon** | Global | General E-commerce | All versions | | 🔸 **eBay** | Global | Marketplace | All versions | | 🔸 **Walmart** | US | Retail Chain | All versions | | 🔸 **Best Buy** | US | Electronics | BrightData/FireCrawl | | 🔸 **Target** | US | Retail Chain | BrightData/FireCrawl | | 🔸 **Costco** | US | Warehouse Club | BrightData/FireCrawl | | 🔸 **Newegg** | Global | Technology | BrightData/FireCrawl | | 🔸 **MercadoLibre Colombia** | LATAM | Marketplace | Tavily version | | 🔸 **Falabella** | LATAM | Department Store | Tavily version | | 🔸 **Alibaba** | Global | B2B | Tavily version | | 🔸 **AliExpress** | Global | B2C Retail | Tavily version | ## 🏗️ Architecture ### Technology Stack ``` 🐍 Python 3.13+ - Core language 🌐 Flask 3.1+ - Web framework 🧠 LangChain 0.3+ - AI framework 🤖 LangGraph 0.6+ - ReAct agents 🔗 MCP 1.13+ - Model Context Protocol 📊 Pydantic - Data validation 🎨 Bootstrap 5 - Frontend styling ⚡ OpenAI GPT-4o - Language model ``` ### Project Structure ``` Ecommerce_AI_Agent/ ├── 📄 app.py # Version 1: BrightData MCP (Production-ready) ├── 📄 app_firecrawl.py # Version 2: FireCrawl MCP (Content extraction) ├── 📄 app_tavily.py # Version 3: Tavily MCP (Most advanced) ⭐ ├── 📁 templates/ │ ├── base.html # Base template with Bootstrap │ └── index.html # Main interface with smart dashboard ├── 📁 static/ │ └── style.css # Custom styling ├── ⚙️ .env # Environment variables (create this) ├── 📋 pyproject.toml # Python dependencies ├── 📖 CLAUDE.md # Claude Code integration docs ├── 📚 README.md # This file └── 🔐 requirements.txt # Alternative dependency format ``` ## 🚀 Quick Start ### Prerequisites - **Python 3.13+** - **Node.js 16+** (for MCP servers) - **API Keys** (OpenAI + chosen provider) ### 1. Clone & Setup ```bash git clone https://github.com/yourusername/ecommerce-ai-agent.git cd ecommerce-ai-agent # Using uv (recommended) uv sync # Or using pip pip install -r requirements.txt ``` ### 2. Environment Configuration Create a `.env` file: ```env # Core - Required for all versions OPENAI_API_KEY=your-openai-api-key-here # Version 1: BrightData (app.py) WEB_UNLOCKER_ZONE=your-zone BROWSER_AUTH=your-browser-auth API_TOKEN=your-api-token # Version 2: FireCrawl (app_firecrawl.py) FIRECRAWL_API_KEY=your-firecrawl-api-key # Version 3: Tavily (app_tavily.py) ⭐ Recommended TAVILY_API_KEY=your-tavily-api-key ``` ### 3. Install MCP Server ```bash # For Tavily version (recommended) npm install -g tavily-mcp@latest # For BrightData version npm install -g @brightdata/mcp # For FireCrawl version npm install -g firecrawl-mcp ``` ### 4. Run Application ```bash # Recommended version (Advanced features + International platforms) python app_tavily.py # Alternative versions python app.py # BrightData (Most reliable) python app_firecrawl.py # FireCrawl (Clean extraction) ``` Visit: **http://localhost:8000** ## 🎮 Usage Guide ### Web Interface 1. **📝 Enter Search Query**: "iPhone 15 Pro", "Samsung Galaxy S24", "wireless headphones" 2. **🎯 Select Platforms**: Choose from available e-commerce sites 3. **🚀 Execute Search**: AI agent searches and structures results 4. **📊 View Results**: Organized by platform with smart analysis ### Example Search Results ```json { "platforms": [ { "platform": "Amazon", "results": [ { "title": "Samsung Galaxy Buds2 Pro Wireless Earbuds", "url": "https://amazon.com/dp/B0B4RJP5J1", "rating": "4.3 out of 5 stars (15,240 reviews)", "price": "$149.99" } ] } ], "summary": { "total_products": 42, "platforms_count": 8, "price_range": "$24.99 - $299.99", "best_deal": {...}, "top_rated": {...} } } ``` ## 🔧 Version Comparison | Feature | BrightData
`app.py` | FireCrawl
`app_firecrawl.py` | Tavily
`app_tavily.py` ⭐ | |---------|:-----:|:-------:|:-----:| | **Platforms** | 7 | 7 | 11 | | **Reliability** | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | | **International** | ❌ | ❌ | ✅ | | **Price Analysis** | ❌ | ❌ | ✅ | | **Smart Dashboard** | ❌ | ❌ | ✅ | | **Error Handling** | Basic | Basic | Advanced | | **Prompt Engineering** | Simple | Hardcoded | Advanced | | **Best For** | Production | Clean Data | Development | ## 🧠 AI Agent Architecture ### Workflow Diagram ```mermaid graph TD A[🔍 User Query] --> B[🌐 Flask App] B --> C[🔗 MCP Client] C --> D[🧰 Load LangChain Tools] D --> E[🤖 ReAct Agent Processing] E --> F[📊 Multi-Platform Search] F --> G[✅ Structured Response] G --> H[🎨 Web Template Rendering] style A fill:#e1f5fe style E fill:#f3e5f5 style G fill:#e8f5e8 ``` ### Key Components 1. **🌐 Flask Application**: Web server with async MCP integration 2. **🔗 MCP Client**: Bridge to external scraping tools via stdio 3. **🧠 LangChain Integration**: Loads MCP tools into LangChain ecosystem 4. **🤖 LangGraph Agent**: ReAct pattern for intelligent decision making 5. **📊 Pydantic Models**: Type-safe response structuring and validation 6. **🎨 Jinja2 Templates**: Dynamic HTML rendering with Bootstrap styling ## 🛠️ Advanced Configuration ### Custom MCP Server ```python # Add your own MCP server server_params = StdioServerParameters( command='your-custom-mcp-server', args=['--config', 'config.json'], env={'API_KEY': os.getenv('YOUR_API_KEY')} ) ``` ### Extend Platform Support ```python # Add new platforms to PLATFORMS list PLATFORMS = ['Amazon', 'eBay', 'YourPlatform'] # Update system prompt for new platform SYSTEM_PROMPT += "For YourPlatform: use specific extraction logic..." ``` ## 🐛 Troubleshooting ### Common Issues **❌ MCP Server Not Found** ```bash # Verify MCP server installation npm list -g tavily-mcp npm install -g tavily-mcp@latest ``` **❌ API Key Errors** ```bash # Check environment variables echo $OPENAI_API_KEY echo $TAVILY_API_KEY ``` **❌ Node.js Issues** ```bash # Update Node.js to latest LTS nvm install --lts nvm use --lts ``` ### Debug Mode ```python # Enable debug logging import logging logging.basicConfig(level=logging.DEBUG) ``` ## 🤝 Contributing We welcome contributions! Here's how to get started: ### Development Setup ```bash # Fork and clone git clone https://github.com/yourusername/ecommerce-ai-agent.git cd ecommerce-ai-agent # Create virtual environment python -m venv venv source venv/bin/activate # Windows: venv\Scripts\activate # Install development dependencies uv sync --dev ``` ### Contribution Guidelines 1. 🍴 **Fork** the repository 2. 🌿 **Create** feature branch (`git checkout -b feature/amazing-feature`) 3. ✅ **Test** your changes thoroughly 4. 📝 **Commit** with clear messages (`git commit -m 'Add: amazing feature'`) 5. 📤 **Push** to branch (`git push origin feature/amazing-feature`) 6. 🔄 **Open** a Pull Request ### Code Standards - ✅ **Type hints** for all functions - 📚 **Docstrings** for public methods - 🧪 **Unit tests** for new features - 🎨 **Black** formatting (`black .`) - 🔍 **Linting** with ruff (`ruff check .`) ## 📋 Roadmap ### 🎯 Version 2.0 (Coming Soon) - [ ] **🔒 User Authentication**: Save searches and preferences - [ ] **💾 Database Integration**: Store search history - [ ] **📱 Mobile App**: React Native companion - [ ] **🌍 More Platforms**: Add 20+ international platforms - [ ] **📈 Analytics Dashboard**: Search trends and insights - [ ] **🔔 Price Alerts**: Notify when prices drop ### 🚀 Version 3.0 (Future) - [ ] **🤖 Advanced AI**: GPT-4 Vision for product images - [ ] **💰 Price Prediction**: ML models for price forecasting - [ ] **🛒 Shopping Lists**: Collaborative shopping features - [ ] **📊 Business Intelligence**: Enterprise analytics suite ## 📊 Performance Metrics | Metric | Target | Current | |--------|--------|---------| | **Response Time** | < 10s | ~8s | | **Platforms Searched** | 15+ | 11 | | **Success Rate** | > 95% | ~92% | | **Concurrent Users** | 100+ | 50 | ## 🔒 Security & Privacy - ✅ **No Data Storage**: Search queries are not logged - ✅ **Secure API Keys**: Environment variable protection - ✅ **HTTPS Ready**: SSL/TLS support for production - ✅ **Rate Limiting**: Built-in request throttling - ✅ **Input Sanitization**: XSS and injection prevention ## 📄 License This project is licensed under the **MIT License** - see the [LICENSE](LICENSE) file for details. ``` MIT License - Feel free to use, modify, and distribute! ``` ## 👨‍💻 Author **Edwin Quintero** - 🐙 **GitHub**: [@edwinquintero](https://github.com/edwinquintero) - 💼 **LinkedIn**: [Edwin Quintero](https://linkedin.com/in/edwin-quintero) - 📧 **Email**: edwin@example.com - 🌐 **Website**: [edwinquintero.dev](https://edwinquintero.dev) ## 🙏 Acknowledgments Special thanks to these amazing projects and services: - 🦜 **[LangChain](https://langchain.com/)** - AI framework foundation - 🧠 **[OpenAI](https://openai.com/)** - GPT-4o language model - 🔍 **[Tavily](https://tavily.com/)** - Web search API - 🌐 **[BrightData](https://brightdata.com/)** - Enterprise web scraping - 🔥 **[FireCrawl](https://firecrawl.dev/)** - Clean web extraction - 🐍 **[Flask](https://flask.palletsprojects.com/)** - Web framework - 🎨 **[Bootstrap](https://getbootstrap.com/)** - UI framework ---
**⭐ If this project helps you, please give it a star on GitHub! ⭐** [![GitHub stars](https://img.shields.io/github/stars/yourusername/ecommerce-ai-agent?style=social)](https://github.com/yourusername/ecommerce-ai-agent) [![GitHub forks](https://img.shields.io/github/forks/yourusername/ecommerce-ai-agent?style=social)](https://github.com/yourusername/ecommerce-ai-agent) Made with ❤️ for the open source community