# Pain Miner — Find Pain Points in Chrome Web Store Reviews (`kvko/pain-miner`) Actor

Find recurring pain points in Chrome Web Store reviews. Input: extension URL. Output: complaint clusters with frequency, severity and evidence. For founders who want competitor weakness analysis without reading hundreds of reviews.

- **URL**: https://apify.com/kvko/pain-miner.md
- **Developed by:** [KVKO](https://apify.com/kvko) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2,490.00 / 1,000 ai pain-point analyses

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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

## Pain Miner

**Turn Chrome Web Store reviews into product intelligence.** Pain Miner reads any
extension's Chrome Web Store reviews and extracts the recurring complaints and unmet
needs users mention — so you know exactly what to build next.

### Who is this for?

- **Chrome extension founders** who want to find gaps in competing products.
- **Product managers** building competitive intelligence on browser tools.
- **Indie hackers** validating new extension ideas against real user frustration.

### Input

Paste the full Chrome Web Store **detail URL** of the extension. Only
`chromewebstore.google.com` (and legacy `chrome.google.com`) URLs are accepted.

| Field | Type | Description |
|---|---|---|
| `url` | string · **required** | Chrome Web Store extension detail URL, e.g. `https://chromewebstore.google.com/detail/<slug>/<id>` |
| `maxReviews` | integer | How many recent reviews to analyze (UI default `15`, range `1–200`) |
| `aiProvider` | enum | AI provider used for pain-point analysis (default `openai`) |
| `aiModel` | string | AI model used for the analysis |

**Example input:**

```json
{
  "url": "https://chromewebstore.google.com/detail/dark-reader/eimadpbcbfnmbkopoojfekhnkhdbieeh",
  "maxReviews": 15
}
```

### Output

The Actor saves one result object: a plain-language `summary`, grouped `painPoints`
(theme + how many reviews mention it + representative quotes), and `metadata`
about the analyzed set.

```json
{
  "summary": "Краткое резюме главных болей пользователей расширения.",
  "painPoints": [
    {
      "title": "Сильно тормозит на больших страницах",
      "mentionCount": 5,
      "quotes": ["It takes 10+ seconds to load a doc..."]
    }
  ],
  "metadata": {
    "totalAnalyzed": 15,
    "negativeFiltered": 10,
    "scrapedAt": "2026-01-01T00:00:00.000Z",
    "sourceUrl": "https://chromewebstore.google.com/...",
    "aiProvider": "openai"
  }
}
```

### How it works

1. Opens the extension's Chrome Web Store **reviews** page.
2. Collects up to `maxReviews` reviews (text is mined for pain regardless of star count).
3. An AI step groups recurring complaints and unmet needs into ranked pain points
   with frequency and representative quotes.

### Notes

- Only **Chrome Web Store** extensions are supported; other hosts are rejected.
- Only public review text is collected; analysis runs on those collected reviews.
- Pain points are grouped by theme, not by rating band.

### Pricing

Charged per Apify usage as shown in the pricing box on this page (pay-per-event —
no flat subscription). Typical small runs are inexpensive.

# Actor input Schema

## `url` (type: `string`):

Full Chrome Web Store detail URL of the extension

## `maxReviews` (type: `integer`):

How many recent reviews to analyze

## `aiProvider` (type: `string`):

AI provider used for pain-point analysis.

## `aiModel` (type: `string`):

AI model used for pain-point analysis.

## Actor input object example

```json
{
  "url": "https://chromewebstore.google.com/detail/dark-reader/eimadpbcbfnmbkopoojfekhnkhdbieeh",
  "maxReviews": 15,
  "aiProvider": "openai",
  "aiModel": "minimax/minimax-m2.7:free"
}
```

# Actor output Schema

## `report` (type: `string`):

No description

# 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 = {
    "url": "https://chromewebstore.google.com/detail/dark-reader/eimadpbcbfnmbkopoojfekhnkhdbieeh"
};

// Run the Actor and wait for it to finish
const run = await client.actor("kvko/pain-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 = { "url": "https://chromewebstore.google.com/detail/dark-reader/eimadpbcbfnmbkopoojfekhnkhdbieeh" }

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

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

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

```

## CLI example

```bash
echo '{
  "url": "https://chromewebstore.google.com/detail/dark-reader/eimadpbcbfnmbkopoojfekhnkhdbieeh"
}' |
apify call kvko/pain-miner --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kvko/pain-miner"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/YqdpUKHkp3g5fpHK8/builds/e9NWmf2Bs3rMBaFe0/openapi.json