AI Competitor Price Monitor is a production-ready, full-stack AI application for tracking competitor pricing across multiple websites. Built with React, TypeScript, FastAPI, and PyTorch, this application provides automated price scraping, machine learning-based predictions, anomaly detection, and real-time alerts. You receive complete source code with Docker deployment configurations, allowing you to build and operate your own price monitoring service or integrate price intelligence into your existing platform.
The application monitors competitor products through automated web scraping with JavaScript rendering support. Three scraper types are included: a generic scraper for most websites, an Amazon-optimized scraper, and a Shopify-specific scraper. AI models analyze price history to generate forecasts up to 30 days ahead, detect unusual price movements, and provide actionable insights. The system uses transformer-based neural networks and statistical methods for prediction, with synthetic data generation to improve model coverage while protecting actual user information. All price checks, alerts, and analytics are accessible through a professional React dashboard with interactive charts powered by Recharts.
The technology stack includes Python 3.11+ with FastAPI for the backend API, PostgreSQL 16 for data storage, Redis 7 for caching, and Playwright for web scraping. The frontend uses React 18 with TypeScript, built with Vite. The entire application deploys via Docker Compose with included configuration files. Key features include secure user authentication with JWT tokens, customizable monitoring intervals, automated background tasks with Celery, REST API with full documentation, and a responsive dashboard for viewing price trends and anomalies. You can modify the code to add custom scrapers, adjust AI model parameters, or integrate with your own systems.
This application is designed for developers and technical teams who want to launch a price monitoring service, agencies building competitive intelligence tools for clients, or businesses requiring automated price tracking capabilities. Basic technical knowledge is required to deploy and customize the application. The Docker setup handles most infrastructure complexity, but you should be comfortable with command-line operations and environment configuration. The included setup guide provides step-by-step instructions for non-technical users, while the API documentation supports advanced integrations.
IMPORTANT NOTE: This application has been fully developed with all features implemented. However, it has not been tested in a live production environment. Buyer should expect to perform integration testing and may encounter minor bugs that require fixing. Basic technical knowledge and development skills are required.
NO REFUNDS: Due to the digital nature, all sales are final.
Seller retains full ownership and control. Purchase grants a non-exclusive, non-transferable, perpetual license—AS IS, no support/updates, no refunds, no other obligations. Buyer may build and operate a materially new, closed-source product (including SaaS/paid service) for their own business/customers. Buyer may not open-source or disclose the application, nor resell, redistribute, rebrand, sublicense, or use the application (or any derivative) to create a competing or substantially similar product. License terms may be updated or changed at any time; continued use constitutes acceptance.
