# Chrome extension review pain points and feature requests

**Use case:** 

Analyse low-star Chrome Web Store reviews of competing extensions: complaint themes, "I wish…" feature requests and short quotes with links, per extension. Reviewer names are removed. Free offline mode uses keyword themes, not AI.

## Input

```json
{
  "competitors": [
    "Grammarly | cws:kbfnbcaeplbcioakkpcpgfkobkghlhen",
    "LanguageTool | cws:oldceeleldhonbafppcapldpdifcinji"
  ],
  "maxReviewsPerCompetitor": 20,
  "minRating": 1,
  "maxRating": 3,
  "dateFrom": "6 months",
  "country": "us",
  "analysisMode": "offline",
  "llmProvider": "openai",
  "includeReviewRows": true,
  "hnComplaintsOnly": true,
  "maxQuotesPerTheme": 3
}
```

## Output

```json
{
  "competitor": {
    "label": "Competitor",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "analysisMode": {
    "label": "Mode",
    "format": "string"
  },
  "reviewsAnalyzed": {
    "label": "Reviews analysed",
    "format": "integer"
  },
  "averageRating": {
    "label": "Avg stars",
    "format": "number"
  },
  "dateRange": {
    "label": "Date range",
    "format": "object"
  },
  "reviewsBySource": {
    "label": "Reviews by source",
    "format": "object"
  },
  "sourceStatus": {
    "label": "Source status",
    "format": "array"
  },
  "message": {
    "label": "Note",
    "format": "text"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Competitor Complaint Miner: App Store & Google Play Reviews Actor is ready to run with the inputs already set for "Chrome extension review pain points and feature requests". [Sign up or log in](https://console.apify.com/create-task-from-example/8ntst2jNu0qfRMQCm) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Chrome extension review pain points and feature requests" task

The Competitor Complaint Miner: App Store & Google Play Reviews Actor will start running based on the input automatically. You can also change all the input fields, like competitors, max reviews per competitor, and more, to match your specific use case.

### 3. Receive the "Chrome extension review pain points and feature requests" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as competitor, status, mode, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Chrome extension review pain points and feature requests" task via API](https://apify.com/damodaran_dhanuauraman/competitor-complaint-miner.md).

## FAQ

### Is it AI analysis?

In free offline mode the Competitor Complaint Miner groups reviews by keyword lexicon and frequent phrases, not AI. Optional AI mode uses your own LLM key and has so far been tested only against sample responses.

### Does it support Trustpilot, G2 or Capterra?

The Competitor Complaint Miner's Trustpilot source is experimental and currently blocked by anti-bot checks (never charged). G2 and Capterra are not supported.

### Are reviewer names included in the output?

No. The Competitor Complaint Miner removes reviewer names, avatars and user IDs from every output. Quotes are short (up to 200 characters) and each links back to its public source.

### How much does the Competitor Complaint Miner cost?

The Competitor Complaint Miner charges $0.0015 per review collected plus $0.30 per competitor insight report. Empty or failed sources are free, and a run stops at your spend limit.

## About this Actor

This example demonstrates how to use [Competitor Complaint Miner: App Store & Google Play Reviews](https://apify.com/damodaran_dhanuauraman/competitor-complaint-miner.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/damodaran_dhanuauraman/competitor-complaint-miner.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/damodaran_dhanuauraman/competitor-complaint-miner.md

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`).