# Track competitor Actors for a keyword

**Use case:** 

Read every Apify Store listing matching a keyword and export the numbers side by side: users in the last 30 days, rating and how many reviews it rests on, failure rate, and how each one charges. Every row says how many listings were examined and how many were kept.

## Input

```json
{
  "search": "amazon reviews",
  "limit": 100,
  "minReviewsForRating": 3,
  "onlyWeak": false,
  "weakRatingBelow": 4.2,
  "minRunsForHealth": 100,
  "weakFailureRateAbove": 0.167
}
```

## Output

```json
{
  "title": {
    "label": "Actor",
    "format": "string"
  },
  "name": {
    "label": "ID",
    "format": "string"
  },
  "users30d": {
    "label": "Users (30d)",
    "format": "integer"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "ratingState": {
    "label": "Rating status",
    "format": "string"
  },
  "reviewCount": {
    "label": "Reviews",
    "format": "integer"
  },
  "failureRate": {
    "label": "Failure rate",
    "format": "number"
  },
  "weak": {
    "label": "Weak?",
    "format": "boolean"
  },
  "weakReasons": {
    "label": "Why weak",
    "format": "array"
  },
  "pricingModel": {
    "label": "Pricing",
    "format": "string"
  },
  "notice": {
    "label": "Notice",
    "format": "string"
  },
  "url": {
    "label": "Store page",
    "format": "string"
  },
  "searchTerm": {
    "label": "Search",
    "format": "string"
  },
  "examined": {
    "label": "Examined",
    "format": "integer"
  },
  "relevant": {
    "label": "Relevant",
    "format": "integer"
  },
  "capped": {
    "label": "Hit limit?",
    "format": "boolean"
  },
  "retrievedAt": {
    "label": "Read at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Apify Store Analytics Scraper](https://apify.com/pradio/store-intel.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/pradio/store-intel.md) to learn more, explore other use cases, and run it yourself.


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

- **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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/pradio/store-intel.md

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).