LinkedIn Profile Data Mining

# 🚀 Quick Start Guide Get the LinkedIn Profile Data Mining MCP Server running in 5 minutes! ## Step 1: Get Your API Keys (2 minutes) ### Required Keys: 1. **Apollo.io API Key** - Go to [apollo.io](https://apollo.io) → Sign up → Settings → Integrations → Generate API Key 2. **OpenAI API Key** - Go to [platform.openai.com](https://platform.openai.com) → Sign up → API Keys → Create new secret key ## Step 2: Configure the Server (1 minute) ```bash # Navigate to the server directory cd smithery-servers/profile-searcher # Copy the example configuration cp .env.example .env # Edit the .env file with your API keys nano .env ``` Add your keys to the `.env` file: ```env APOLLO_API_KEY=your_apollo_key_here OPENAI_API_KEY=sk-your_openai_key_here ``` ## Step 3: Start the Server (30 seconds) ```bash # Install dependencies (if not already done) npm install # Start the development server npm run dev ``` ## Step 4: Test It Works (1 minute) The server should start on port 8181. You can now use it with Claude Desktop or any MCP client! ### Example Usage: - **Search for profiles**: "Find AI engineers on LinkedIn" - **Extract contact info**: "Get contact information for these LinkedIn profiles" - **Export data**: "Export all found profiles to CSV" ## For Claude Desktop Users Add this to your `claude_desktop_config.json`: ```json { "mcpServers": { "profile-searcher": { "command": "node", "args": ["/Users/amankale/Desktop/MCPs/smithery-servers/profile-searcher/dist/index.js"], "env": { "APOLLO_API_KEY": "your_apollo_key_here", "OPENAI_API_KEY": "sk-your_openai_key_here" } } } } ``` ## 🎉 You're Ready! The server now has access to: - ✅ LinkedIn profile search - ✅ Contact information extraction - ✅ AI-powered query generation - ✅ CSV export functionality - ✅ Database storage ## Need Help? - 📖 Full documentation: [README.md](./README.md) - ⚙️ Detailed configuration: [CONFIGURATION.md](./CONFIGURATION.md) - 🐛 Issues? Check the troubleshooting section in CONFIGURATION.md ## Pro Tips: 1. **Start with small searches** (5-10 profiles) to test your setup 2. **Monitor your API usage** - Apollo.io has rate limits 3. **Enable debug mode** (`DEBUG=true`) if you encounter issues 4. **Export to CSV** regularly to backup your data Happy data mining! 🔍📊