🕷️ WebScraper Platform

100% Open-Source, AI-Powered Web Scraping & Browser Automation Platform

🚀 Quick Start

Prerequisites

• Docker & Docker Compose
• 8GB+ RAM (recommended for AI models)
• Python 3.11+ (for development)

Development Setup

1. Clone and Setup

git clone <repository-url>
cd webscraper-platform

2. Start Infrastructure

docker-compose up -d

3. Install AI Models

docker exec -it webscraper-ollama ollama pull llama3:8b
docker exec -it webscraper-ollama ollama pull codellama

4. Access Services

• Grafana Dashboard: http://localhost:3000 (admin/admin123)
• OpenSearch: http://localhost:9200
• VictoriaMetrics: http://localhost:8428
• Netdata: http://localhost:19999

🧠 AI Features

• Local LLM Integration: Llama3, CodeLlama running locally
• Smart Content Extraction: AI-powered data identification
• Natural Language Queries: Describe what you want to scrape
• Self-Healing Scrapers: Automatically adapt to website changes

🛡️ Anti-Detection

• Browser Fingerprint Rotation
• Stealth Capabilities
• CAPTCHA Solving
• Proxy Management

📊 Enterprise Features

• Real-time Monitoring
• Distributed Scraping
• Data Pipeline with Kafka
• Advanced Search with OpenSearch

🏗️ Architecture

• Frontend: React/Next.js
• Backend: FastAPI + Python
• AI: Ollama + Transformers
• Database: TimescaleDB + Redis
• Search: OpenSearch
• Monitoring: Grafana + VictoriaMetrics

📄 License

MIT License - 100% Open Source

🤝 Contributing

See CONTRIBUTING.md for development guidelines.