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ReviewStack – API that aggregates reviews from YouTube and Reddit

ReviewStack – API that aggregates reviews from YouTube and Reddit

by browndev·Feb 14, 2026·1 point·1 comment
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AI Analysis

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The Take

Turns noisy YouTube comments and Reddit threads into a tidy JSON: a 1–10 normalized score, plain-text summary, pros/cons, theme-level sentiment, and backlinks for provenance. Using an LLM as the extractor is clever — it sidesteps brittle selector-based scrapers — but it also raises obvious questions about cost, reliability, and how it handles sarcasm or sparse data that I'd want to see addressed.

Target Audience

Developers building review or analytics features, product managers, market researchers, e-commerce teams

Post Description

I built an API that takes a product name, scrapes reviews from YouTube and Reddit, and returns structured sentiment analysis in a single JSON response. Live demo (no signup): https://reviewstack.vercel.app/demo

The response includes a normalized score (1-10), a plain-text summary, pros/cons lists, recurring themes with sentiment, and source attribution linking back to the original content.

The AI layer uses Claude by Anthropic. It reads the collected reviews and extracts structured data. The value is in not having to maintain scraping infrastructure, handle rate limits across platforms, or write your own extraction prompts.

Stack: Next.js API routes, Vercel for hosting, Stripe for billing, YouTube Data API + Reddit JSON endpoints for sourcing, Claude for analysis.

Pricing: free tier at 50 lookups/month, paid plans at $29/mo (500 lookups) and $79/mo (2,000 lookups). Solo/bootstrapped project.

Happy to answer questions about the scraping approach, accuracy, or anything else.

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