# App Review Pain-Point Miner (App Store + Google Play) (`happysproutstore/app-review-pain-miner`) Actor

Find what users complain about and wish for in App Store and Google Play reviews: complaint categories, verbatim feature requests, willingness-to-pay signals and a pain score per app. No API keys, no LLM.

- **URL**: https://apify.com/happysproutstore/app-review-pain-miner.md
- **Developed by:** [Recep Vural](https://apify.com/happysproutstore) (community)
- **Categories:** E-commerce, Marketing, Developer tools
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 app analyzeds

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## App Review Pain-Point Miner (App Store + Google Play)

Find out **what users hate and what they wish for** in any app category. You enter search terms such as "habit tracker" or "budget app", or specific app IDs. The Actor reads the most recent App Store and Google Play reviews and returns one row per app with:

- **Pain score**: demand (rating count, log scale) × share of 1–2★ reviews × (1 + wish rate)
- **Complaint categories**, each with a count and a share: pricing/subscription, bugs/crashes, ads, missing feature, accuracy, localization, support, privacy
- **Verbatim feature wishes**, e.g. "Please add option to check things off from apple watch."
- **Willingness-to-pay signals**: reviews that say "I'd pay", "one-time purchase", "lifetime"…
- **Sample 1–2★ complaints**
- Optionally, **every review as a row**, with its categories and wish sentences

The Actor does not use an LLM or need API keys. Every review is classified by transparent keyword rules, so you get the same result every time and the cost stays low. The rules work for English and Turkish reviews.

### Use cases

- Validate an app idea before building: find the categories where users are unhappy and say what they want
- Competitor research: find out why users leave a rival app
- Product roadmap: collect feature requests from your own app's reviews across countries

### Input example

```json
{
  "searchTerms": ["habit tracker"],
  "stores": ["appstore", "googleplay"],
  "countries": ["us", "gb"],
  "maxAppsPerTerm": 5,
  "reviewPages": 2
}
```

### Output example (one app row)

```json
{
  "store": "appstore", "country": "us", "appName": "Habit Tracker - HabitKit",
  "painScore": 4.57, "lowStarShare": 0.14, "wishRate": 0.12, "willingToPayCount": 2,
  "topComplaintCategory": "pricing_subscription",
  "complaintCategories": {"pricing_subscription": {"count": 6, "share": 0.12}},
  "featureWishes": [{"quote": "Please add option to check things off from apple watch.", "stars": 4}]
}
```

The key-value store record `OUTPUT` holds every app ranked by pain score.

### Limits

- The App Store feed returns at most the 500 most recent reviews per app and country.
- Google Play reviews are read with the open-source `google-play-scraper` library. Some apps return no reviews.
- Keyword rules can miss sarcasm or mixed reviews, so read the quoted wishes before you decide.

Built on the open-source [NeedMiner](https://github.com/happysproutstore-lang/needminer) by HAPPYSPROUTSTORE LLC (MIT).

# Actor input Schema

## `searchTerms` (type: `array`):

Product categories to search in the stores, e.g. "budget app", "habit tracker". The top apps for each term are analyzed.

## `appStoreIds` (type: `array`):

Numeric Apple IDs (the number after /id in the App Store URL).

## `googlePlayIds` (type: `array`):

Package names, e.g. com.spotify.music.

## `stores` (type: `array`):

Stores for search terms.

## `countries` (type: `array`):

Two-letter store country codes (us, gb, de, tr...).

## `language` (type: `string`):

Google Play review language.

## `maxAppsPerTerm` (type: `integer`):

Apps per search term.

## `reviewPages` (type: `integer`):

App Store returns at most 10 pages (500 most recent reviews).

## `includeReviews` (type: `boolean`):

Adds one dataset row per review with its complaint categories and wish sentences (charged per review row).

## `maxWishesPerApp` (type: `integer`):

Max feature wishes per app.

## Actor input object example

```json
{
  "searchTerms": [
    "habit tracker"
  ],
  "stores": [
    "appstore",
    "googleplay"
  ],
  "countries": [
    "us"
  ],
  "language": "en",
  "maxAppsPerTerm": 5,
  "reviewPages": 2,
  "includeReviews": false,
  "maxWishesPerApp": 20
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `summary` (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 = {
    "searchTerms": [
        "habit tracker"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("happysproutstore/app-review-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 = { "searchTerms": ["habit tracker"] }

# Run the Actor and wait for it to finish
run = client.actor("happysproutstore/app-review-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 '{
  "searchTerms": [
    "habit tracker"
  ]
}' |
apify call happysproutstore/app-review-pain-miner --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,happysproutstore/app-review-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/7gvnGZuM1wZDMxGTu/builds/QmcSblH9ueNpbbKeH/openapi.json