# Analyze Amazon AirPods reviews for unmet needs

**Use case:** 

Turn public reviews for a specific Amazon AirPods URL into traceable performance complaints, praise themes, feature requests, and action priorities.

## Input

```json
{
  "asins": [
    "https://www.amazon.com/dp/B09G9FPHY6"
  ],
  "maxReviewsPerProduct": 5,
  "includePositiveSignals": true,
  "openAiModel": "gpt-4o-mini"
}
```

## Output

```json
{
  "asin": {
    "label": "ASIN",
    "format": "string"
  },
  "productName": {
    "label": "Product",
    "format": "string"
  },
  "reviewsAnalyzed": {
    "label": "Reviews analyzed",
    "format": "integer"
  },
  "averageRating": {
    "label": "Average rating",
    "format": "number"
  },
  "topComplaints": {
    "label": "Top complaints",
    "format": "array"
  },
  "topFeatureRequests": {
    "label": "Feature requests",
    "format": "array"
  },
  "topPraises": {
    "label": "Top praises",
    "format": "array"
  },
  "recommendedProductActions": {
    "label": "Product actions",
    "format": "array"
  },
  "analysisMethod": {
    "label": "Analysis method",
    "format": "string"
  },
  "analyzedAt": {
    "label": "Analyzed at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Amazon Review Analysis Scraper](https://apify.com/automation-lab/amazon-review-demand-signals) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/amazon-review-demand-signals) 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/automation-lab/amazon-review-demand-signals.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).
