# Review Pain-Point Miner (`mrprince90/review-painpoint-miner`) Actor

Mine public reviews from Amazon, Trustpilot, and Google Play to score product pain points fast with keyword heuristics.

- **URL**: https://apify.com/mrprince90/review-painpoint-miner.md
- **Developed by:** [Mr Prince](https://apify.com/mrprince90) (community)
- **Categories:** AI, E-commerce, Automation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Review Pain-Point Miner

**Mine product reviews from Amazon, Google Play, and Trustpilot to identify customer pain points. Extract common complaints, sentiment, and feature requests to improve products.**

### 🎯 Why This Matters

Your customers are telling you exactly what's wrong with your product — in reviews. This Actor extracts those insights at scale, so you know exactly what to fix.

#### Questions this answers:

- ✅ What are the most common customer complaints about my product?
- ✅ Which pain point category (pricing, quality, support, shipping, features) is most critical?
- ✅ What specific phrases do customers use when describing problems?
- ✅ Is sentiment improving or declining over time?
- ✅ What features are customers requesting?
- ✅ How does my product compare to competitors on pain points?

### ✨ Features

| Feature | Description |
|---------|-------------|
| **5 Pain Categories** | Pricing, Quality, Support, Shipping, Features |
| **Keyword Scoring** | Fast regex-based pain point detection (no LLM costs) |
| **Pain Score (0-100)** | Composite score based on mention frequency and category breadth |
| **Sentiment Analysis** | Measures positive vs. negative language balance |
| **Common Phrase Extraction** | Identifies frequently repeated complaint phrases |
| **Multi-Platform** | Amazon, Google Play, Trustpilot |

### 💰 Pricing Plan (Pay-Per-Event)

| Event | Price |
|-------|-------|
| Per product/category analysis | $0.005 |
| Competitor comparison (3 products) | $0.02 |
| Monthly brand health monitoring | $0.01/run |

### 🚀 Use Cases

- **Product Managers**: Prioritize feature fixes based on pain frequency
- **Customer Experience Teams**: Track NPS drivers through review analysis
- **Competitive Intelligence**: Compare pain scores across competitor products
- **E-commerce Brands**: Identify quality issues before they escalate

***

**Let your customers tell you what to build next.**

# Actor input Schema

## `keywords` (type: `array`):

Search terms or product/category keywords. Example: wireless earbuds, fitness app.

## `maxResults` (type: `integer`):

Maximum number of scored items to return.

## `minPainScore` (type: `integer`):

Drop items below this pain score (0-100).

## Actor input object example

```json
{
  "keywords": [
    "durability"
  ],
  "maxResults": 5,
  "minPainScore": 3
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("mrprince90/review-painpoint-miner").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("mrprince90/review-painpoint-miner").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call mrprince90/review-painpoint-miner --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=mrprince90/review-painpoint-miner",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/gbVpgpkaCjLba6Xzj/builds/mCEZiTaqgdjaESlU2/openapi.json