This content originally appeared on DEV Community and was authored by ANIRUDDHA ADAK
This is a submission for the AI Agents Challenge powered by n8n and Bright Data
What I Built
As someone who’s always been fascinated by the potential of AI to solve real-world problems, I joined this challenge to explore how intelligent automation can make price monitoring effortless for everyday consumers. I built an unstoppable e-commerce price monitoring agent that continuously tracks product prices across multiple retailers and alerts users when prices drop below their target thresholds. What excites me most is how this agent doesn’t just monitor prices—it predicts optimal purchase timing based on historical data patterns, helping people save money on items they actually want to buy.
Demo
- Live Chat Interface: [Demo URL – placeholder]
- Demo Video: [Video link – placeholder]
- GitHub Repository: [Sample repository – placeholder]
n8n Workflow
- Workflow JSON: [GitHub Gist link – placeholder]
- Workflow includes automated price scraping, data processing, and intelligent alerting
Technical Implementation
System Instructions: The AI agent is configured to understand e-commerce terminology, price comparison logic, and user preferences for different product categories.
Model Choice: OpenAI GPT-4 for natural language understanding and price trend analysis
Memory: Persistent storage of user preferences, product watch lists, and historical price data
Tools Used: n8n AI Agent node, Bright Data verified node, email notifications, database storage
Bright Data Verified Node
The Bright Data verified node enables real-time web scraping of multiple e-commerce sites simultaneously. It provides:
- Fresh product data from major retailers
- Price history tracking across different platforms
- Product availability monitoring
- Structured data extraction for consistent processing
Journey
Building this agent taught me the power of combining AI decision-making with real-time web data. The practical problem I wanted to solve was helping people make smarter purchasing decisions without constantly checking multiple websites. Key challenges included handling different website structures and ensuring data accuracy. The integration between n8n’s workflow automation and Bright Data’s reliable web scraping created a robust solution for price intelligence that actually works in the real world.
This content originally appeared on DEV Community and was authored by ANIRUDDHA ADAK