OpinionFlow – Real-Time Review Intelligence with Bright Data, Gemini 2.0 & Pinecone

This is a submission for the Bright Data AI Web Access Hackathon

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🔥 What I Built

OpinionFlow helps users skip the endless scroll. It's an AI-powered review assistant that:

• Crawls live product reviews from Amazon and Walmart using Bright Data MCP
• Summarizes insights using Gemini Flash
• Caches results semantically using Pinecone
• Lets users ask product-specific questions via LangChain

Want to know if the AirPods Pro have battery issues? Just ask — you’ll get instant, evidence-backed answers.

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📌 Demo

• 🌐 Live App
• 💻 GitHub Repo
• 🎥 Loom Demo

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🧠 How It Works

Step	Description
🔍 Search	Users enter a query (e.g., "Noise Buds X Prime")
📄 Crawl	Bright Data scrapes live reviews from both stores
✨ Summarize	Gemini Flash extracts sentiment, pros/cons, and key specs
🧠 Cache	MiniLM embeddings stored in Pinecone to avoid repetition
💬 Answer	LangChain generates natural-language responses with citations

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🧩 Features at a Glance

Feature	Description
💬 Instant AI Answer Box	Summary with links to real reviews
👍 Top Pros / Cons	Highlighted from verified buyers
📊 Sentiment Comparison	Side-by-side scores from Amazon & Walmart
🏷️ Aspect Mini-Charts	Dynamic breakdowns: battery, comfort, etc.
🧭 Multi-Store Tabs	Compare similar SKUs across platforms
🔎 Review Explorer	Drill down into sources and keywords

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🚀 Bright Data in Action

MCP Tool	Role
SERP API	Fetches product listings via Google Search
Web Unlocker	Unblocks product pages seamlessly
Scraping Browser	Renders full review sections
Browser API + Playwright	Handles dynamic navigation like "See all reviews"

Bright Data saved me dozens of hours — no captchas, no proxy headaches, just clean data.

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🧠 Architecture Overview

OpinionFlow is built with a modular microservice-style architecture with FastAPI as the core backend. Key flows include:

• Product discovery → via Bright Data SERP API
• Review scraping → using custom extractors
• Analysis → powered by Gemini Flash
• Semantic caching → via Pinecone vector search
• Natural Q&A → powered by LangChain and Gemini

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🧰 Tech Stack

FastAPI, React.js, Bright Data MCP, Gemini Flash, Pinecone, LangChain, HuggingFace MiniLM, Netlify, Cloud Run

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🔮 What's Next

• Add Target.com integration
• Launch a real-time price tracker
• Let users add their own reviews
• Enable Gemini-powered follow-ups in chat

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🙏 Thanks

Big thanks to Bright Data and DEV for the challenge. If you liked this project, consider checking out:

🌟 github.com/luminati-io/brightdata-mcp

Built with ❤️ by @shivanshsinghh

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🏷️ Tags

#BrightData #Hackathon #AI #LLM #Gemini #LangChain #Ecommerce #ProductReviews #FastAPI #React #Pinecone #SemanticSearch

Comments

[Dotallio]

Super cool seeing live reviews merged with quick AI insights like this. Any plans to add more stores or deeper personalization next?

[Shivansh Singh]

Thank you so much for your comment. Yes I am thinking to add more stores and do deeper personalizations in this project. This project really resonates with me.

[Divyansh Singh]

Top-notch work! Sir

[Divyansh Singh]

Thanks for sharing this sir!
Very great work❣️

[Shagun Singh]

Great work as always!!

[Shivansh Singh]

Thanks for always showing up and supporting. Means a lot!

[Scott Peralta]

Fabulous this is! Such a life saver. Good work!

[Shivansh Singh]

Thank you so much! Glad to hear it's helpful to you. Let me know if you try it out!

[Jenny Sa]

Good work

[Shivansh Singh]

Thank you

[Dalimin Iswahyudi]

Honestly didn’t think something like this could be built in a hackathon timeframe. Hats off!

[Bahman Simon]

Great work shivansh, thanks for sharing this

[Shivansh Singh]

Really appreciate that - it was a fun challenge putting all together.

[Nathan Tarbert]

pretty cool seeing tools get tied together like this - makes me curious, you think momentum on stuff like this depends more on habits or just chasing little wins day by day?

[Shivansh Singh]

Thanks! Honestly, I think it's a mix of both - I definitely chase small wins to stay motivated, but a lot of it also just comes from long-term habits. I've been coding since I was a kid, so some of that momentum is just muscle memory at this point.

[Nitya Bhardwaj]

This is such a cool use of Ai and web scrapping.. something like this can save so much time and efforts of users. Great stuff man!

[Shivansh Singh]

I'm glad you liked it! Thanks for commenting.