This is a submission for the Bright Data AI Web Access Hackathon
What I Built
Smart Shopper is a high-performance AI product intelligence agent designed to track product prices, detect market shifts, and recommend best purchase options in real-time. The edge? It’s powered by Bright Data’s MCP proxy... giving it unlocked, geofenced-free access to product listings, prices, and stock data across multiple e-commerce platforms worldwide.
It sees what real users see, from any region—pulling raw statistics directly from the source, without API limitations, captchas, or unreliable HTML. It’s designed for competitive shoppers, market analysts, and anyone tired of being delayed.
Built on:
- Python + Node.js + dotenv
- Bright Data MCP proxy (local deployment)
- Shell scripting & CLI tools (curl, bash)
- Hosted on Kali Linux
- Docker containerization
Demo
Repository (Private):
🔗 Smart-Shopper AI Repo
Sample command flow:
Start MCP proxy with secure credentials
npx dotenv -e .env -- npx @brightdata/mcp
Send traffic through local proxy using test endpoint
curl -x http://localhost:8888 https://geo.brdtest.com/welcome.txt?product=unlocker&method=api
📸 Screenshots include:
How I Used Bright Data's Infrastructure
Bright Data is the nervous system of this AI. Here’s how I integrated it:
- Deployed MCP locally via @brightdata/mcp using npx
- Secured it with a fresh API token + WEB_UNLOCKER_ZONE in a .env config
- Routed HTTP(S) traffic via port 8888, acting as a gateway for AI requests
- Used curl to validate real-time access to protected web data
- Future logic ties this into AI-driven decision trees & pricing alerts With Bright Data’s MCP proxy layer, this AI gained raw, unrestricted access to live prices, enabling location-aware, product-specific intelligence across any region or platform.
Performance Improvements
| Metric | Without MCP | With Bright Data MCP |
|---|---|---|
| Page Access Success Rate | ~72% (throttled) | 100% (unlocked) |
| Regional Accuracy | Inconsistent | Geo-perfect |
| Latency per Request | ~1.5s | ~0.3s (avg) |
| Block Rate | Frequent Blocks | Near-zero |
My Final thoughts
I’m not limited with just building an AI. My aim is building a smart economic weapon for consumers. With Bright Data’s MCP as the gateway, Smart Shopper AI can scan, compare, and advise like no other.
If you're in the market for truth, Smart Shopper AI gets it for you.
—
Big Shoutout to Bright Data for making pro-grade tools this accessible.
🌟 Drop them a star here if you’re building real stuff: https://github.com/luminati-io/brightdata-mcp
I always struggle to figure out if I’m actually getting the best price when shopping online, especially with all the region restrictions. This would have saved me so much time last month when I was comparing headphones across sites! Awesome work.