E-commerce Review Analyzer API

AI-powered e-commerce review analysis and AI sentiment analysis API for product review analysis. Extract structured insights from Shopify, Amazon, AliExpress, and other e-commerce data — strengths, weaknesses, buyer personas, and sentiment distribution — all in a single API call.

Keywords: e-commerce data analysis, AI sentiment analysis, product review analysis, Shopify analytics, Amazon sellers tool, AliExpress review analyzer, ecommerce review analyzer, AI product insights, customer feedback analysis

Overview

The E-commerce Review Analyzer API harnesses large language models to automatically analyze batches of customer reviews from any platform — Shopify stores, Amazon listings, AliExpress products, or your own e-commerce site. Instead of manually reading through hundreds of reviews, get a consolidated, actionable report in seconds.

Perfect for Amazon sellers, Shopify merchants, AliExpress dropshippers, and e-commerce data analysts who need to understand customer sentiment at scale.

Returns

• Strengths & Weaknesses — Each finding includes a verbatim customer quote
• Severity Ratings — Weaknesses tagged High / Medium / Low
• Buyer Persona — Under 50 words, synthesized from review patterns
• Sentiment Distribution — Positive / Negative / Neutral ratios
• Improvement Suggestion — The single most impactful recommendation for your e-commerce business

Quick Start

curl -X POST https://ecommerce-review-analyzer.p.rapidapi.com/api/v1/analyze-reviews \
  -H "X-RapidAPI-Key: YOUR_API_KEY" \
  -H "X-RapidAPI-Host: ecommerce-review-analyzer.p.rapidapi.com" \
  -H "Content-Type: application/json" \
  -d '{
    "product_name": "Wireless Earbuds Pro",
    "reviews": [
      "Amazing noise cancellation, the world just goes silent",
      "Battery lasts forever, perfect for business trips",
      "Connection drops 3-5 times on the subway, really frustrating",
      "Ear tips are too stiff, hurts after 2 hours"
    ],
    "max_reviews": 10
  }'

Response

{
  "product_name": "Wireless Earbuds Pro",
  "analyzed_count": 4,
  "total_count": 4,
  "analysis": {
    "strengths": [
      "Noise cancellation is top-tier: 'Amazing noise cancellation, the world just goes silent'",
      "Excellent battery life: 'Battery lasts forever, perfect for business trips'"
    ],
    "weaknesses": [
      "Connection instability (High): 'Connection drops 3-5 times on the subway'",
      "Poor long-term comfort (Medium): 'Ear tips are too stiff, hurts after 2 hours'"
    ],
    "improvement_suggestions": "Prioritize Bluetooth stability improvements in high-interference environments and switch to softer ear tip materials.",
    "user_profile": "Value-conscious commuters and travelers who prioritize ANC and battery endurance over comfort.",
    "sentiment_distribution": {
      "positive": 0.5,
      "negative": 0.5,
      "neutral": 0.0
    }
  }
}

Python Example

import requests

url = "https://ecommerce-review-analyzer.p.rapidapi.com/api/v1/analyze-reviews"

payload = {
    "product_name": "Wireless Earbuds Pro",
    "reviews": [
        "Amazing noise cancellation!",
        "Connection drops on subway",
        "Battery lasts forever"
    ],
    "max_reviews": 10
}

headers = {
    "X-RapidAPI-Key": "YOUR_API_KEY",
    "X-RapidAPI-Host": "ecommerce-review-analyzer.p.rapidapi.com",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)
print(response.json())

Node.js Example

const axios = require('axios');

const options = {
  method: 'POST',
  url: 'https://ecommerce-review-analyzer.p.rapidapi.com/api/v1/analyze-reviews',
  headers: {
    'X-RapidAPI-Key': 'YOUR_API_KEY',
    'X-RapidAPI-Host': 'ecommerce-review-analyzer.p.rapidapi.com',
    'Content-Type': 'application/json'
  },
  data: {
    product_name: 'Wireless Earbuds Pro',
    reviews: [
      'Amazing noise cancellation!',
      'Connection drops on subway',
      'Battery lasts forever'
    ],
    max_reviews: 10
  }
};

axios.request(options).then(res => console.log(res.data));

API Reference

Parameter	Type	Required	Default	Description
product_name	string	No	—	Product name for context in the analysis prompt
reviews	string[]	Yes	—	List of customer review texts (min 1 item)
max_reviews	integer	No	100	Max reviews to analyze (1–300)

Error Codes

Code	Meaning
200	Success
400	Invalid request body
401	Missing or invalid auth token
429	Monthly quota exceeded
502	LLM provider unreachable

Pricing

Available on RapidAPI Hub:

Plan	Price	Requests/Month
Free	$0	20
Basic	$9.99	500
Pro	$29.99	2,000
Enterprise	$99.99	10,000

Self-Hosting

# Clone
git clone https://github.com/HD1019/ecom-review-analyzer.git
cd ecom-review-analyzer

# Install
pip install -r requirements.txt

# Set env vars
export LLM_API_KEY=sk-your-key
export LLM_MODEL=deepseek-chat
export ADMIN_API_KEY=admin-key-123

# Run
uvicorn app:app --host 0.0.0.0 --port 8000

Supports any OpenAI-compatible LLM (DeepSeek, OpenAI, Ollama, vLLM). Configure via LLM_BASE_URL.

Tech Stack

• FastAPI + Pydantic
• SQLite (multi-key management)
• Docker + Railway (deployment)
• OpenAI-compatible LLM backend

License

MIT