🤖 Agent Web Scraper

AI-powered web scraping and automation platform for market intelligence

🎯 What This Does

An experimental platform for automated web scraping and AI-powered content analysis using modern agent-based architectures.

• Automated web scraping with multiple data sources (Reddit, GitHub)
• AI-powered content analysis using Claude and other LLMs
• Multi-agent coordination for complex workflows
• Revenue tracking experiments with Stripe integration
• Modern development stack with FastAPI, Docker, and CI/CD

🏗️ Modern Architecture (2025)

Our system uses cutting-edge automation and AI coordination:

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   MCP Agents    │───▶│  n8n Workflows  │───▶│ BMAD Processing │
│ Claude Sonnet   │    │ Revenue Auto.   │    │ High-Volume     │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         ▼                       ▼                       ▼
┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│  Agentic RAG    │    │ Stripe API      │    │ Dagger CI/CD    │
│  Multi-Source   │    │ $300/day Rev    │    │ Deploy Auto     │
└─────────────────┘    └─────────────────┘    └─────────────────┘

Key Technologies

Component	Technology	Purpose	Status
AI Coordination	MCP (Model Context Protocol)	Agent-to-agent communication	✅ Live
Workflow Engine	n8n	Business process automation	🚧 In Progress
Data Processing	BMAD (Batch/Stream)	High-volume data handling	🚧 In Progress
AI Agents	Claude 4 Sonnet	Market intelligence generation	✅ Live
Backend API	FastAPI + Stripe	Revenue & subscription management	✅ Live
Vector DB	ChromaDB	Semantic search & retrieval	✅ Live
CI/CD Pipeline	Dagger.io	Programmable deployment automation	✅ Live
Visual Content	Gamma.app + Gemini	Automated content creation	📋 Planned
Ad Automation	Meta Ads API	Autonomous campaign management	📋 Planned
Publishing	Substack + GitHub Pages	Multi-channel content distribution	🚧 In Progress

⚡ Quick Start

1. Installation

git clone https://github.com/IgorGanapolsky/agent-web-scraper.git
cd agent-web-scraper
pip install -e .

2. Environment Setup

# Copy environment template
cp .env.example .env

# Required API keys
export OPENAI_API_KEY="sk-..."
export STRIPE_API_KEY="sk_test_..."

3. Run the Platform

# Start the FastAPI backend
python -m app.web.app

# Run market intelligence collection
python scripts/test_agentic_rag.py

📊 Business Results

Revenue Performance

• Daily Target: $320/day via Enterprise transformation
• Enterprise Focus: $1,199/month McKinsey-quality intelligence
• Target Market: Series A/B SaaS founders ($5M+ ARR)
• Value Proposition: Real-time competitive insights vs 6-month consulting projects
• Week 1 Goal: First $1,199 Enterprise customer secured
• Week 4 Target: 8 Enterprise customers = $320/day revenue

Intelligence Metrics

• Query Response: <2 seconds
• Accuracy Rate: 85%+ confidence
• Data Sources: Reddit, GitHub, SerpAPI, Historical
• Daily Reports: Automated pain point discovery

🛠️ Development

Project Structure

agent-web-scraper/
├── app/                    # Core application
│   ├── web/               # FastAPI backend
│   ├── services/          # Business logic
│   ├── core/              # AI & data processing
│   └── config/            # Configuration
├── scripts/               # Automation & workflows
├── docs/                  # Documentation
│   ├── strategy/          # Business strategy
│   └── operations/        # Operational guides
└── tests/                 # Test suite

Testing

# Run all tests
pytest tests/

# Test coverage
pytest --cov=app tests/

# Integration tests
pytest tests/integration/

🔗 Documentation

• Architecture Overview - Technical deep dive
• Business Model - Revenue strategy
• API Reference - FastAPI endpoints
• Deployment Guide - Production setup

🚀 Deployment

Production Stack

• Cloud: AWS/GCP with auto-scaling
• Database: PostgreSQL + ChromaDB
• Monitoring: Sentry AI integration
• CI/CD: Dagger.io + GitHub Actions + automated testing

Quick Deploy

# Run Dagger CI/CD pipeline
dagger call full-ci-pipeline

# Quick health check
dagger call quick-health-check

# Deploy to production
make deploy

💡 Key Features

• ✅ Autonomous Revenue Generation - $300/day target tracking
• ✅ Agentic RAG Intelligence - Multi-source AI synthesis
• ✅ Stripe Integration - Complete subscription management
• ✅ Real-time Dashboard - Business metrics & forecasting
• ✅ Automated Workflows - n8n + MCP coordination
• ✅ Dagger CI/CD - Programmable deployment pipelines
• ✅ Enterprise Security - SOC2 ready architecture

🤝 Contributing

See CONTRIBUTING.md for development guidelines.

📄 License

MIT License - see LICENSE file.

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Ready to transform your market intelligence? From static reports to autonomous revenue generation.