Turn reviews into insights

Mine customer sentiment and extract the themes customers actually complain about or love — from any ASIN's reviews. Pure Python, no NLP dependencies, free on GitHub Actions.

Fork it on GitHub

✨ What it does

😊 Sentiment scoring

A lightweight lexicon scores each review positive, neutral, or negative — no heavy ML models required.

⭐ Rating distribution

Aggregates the 1–5 star breakdown so you see the real shape of customer opinion.

🔥 Theme mining

Extracts the most common complaint and praise keywords, so you know what to fix or feature.

🗓️ Daily refresh

Re-runs on a schedule and commits fresh stats, tracking sentiment drift over time.

🚀 Quick start

# 1. Fork & clone
git clone https://github.com/pangolinfoapi/amazon-review-analyzer
cd amazon-review-analyzer

# 2. Configure ASINs to analyze
cp reviews.example.json reviews.json
#   edit reviews.json

# 3. Run locally
export PANGOLIN_TOKEN=eyJ...your_jwt
python3 amazon_review_analyzer.py run
python3 amazon_review_analyzer.py report

Add the PANGOLIN_TOKEN repository secret and the daily workflow handles the rest.

🌐 Part of the Pangolinfo tool family

→ Keyword Rank Tracker → Niche Finder → Trends Tracker → Competitor Monitor ★3 → Amazon Scraper SDK → pangolinfo.com