# Product Reviews Export

**Use case:** 

Export product reviews with their star rating, full review text and the product's overall rating. Author, date and source in the file too.

## Input

```json
{
  "operation": "productReviews",
  "query": "airpods pro",
  "productId": "catalogid:17048180403134421259,productid:7783946378325197268,gpcid:2941510908457592267,headlineOfferDocid:16828521140612355705,rds:PC_2941510908457592267|PROD_PC_2941510908457592267,imageDocid:17332147496494979266,mid:,pvt:hg,pvf:",
  "country": "us",
  "language": "en",
  "maxPages": 2,
  "sortBy": "BEST_MATCH",
  "productCondition": "ANY",
  "onSale": false,
  "freeShipping": false,
  "freeReturns": false,
  "reviewSort": "MOST_RELEVANT"
}
```

## Output

```json
{
  "productTitle": {
    "label": "🛒 Product",
    "format": "string"
  },
  "storeName": {
    "label": "🏪 Store",
    "format": "string"
  },
  "price": {
    "label": "💲 Price",
    "format": "string"
  },
  "offerPrice": {
    "label": "💲 Headline Price",
    "format": "string"
  },
  "latestPrice": {
    "label": "💲 Latest Price",
    "format": "string"
  },
  "minPriceObserved": {
    "label": "Min Observed",
    "format": "number"
  },
  "maxPriceObserved": {
    "label": "Max Observed",
    "format": "number"
  },
  "productRating": {
    "label": "⭐ Rating",
    "format": "number"
  },
  "reviewText": {
    "label": "⭐ Review",
    "format": "string"
  },
  "reviewRating": {
    "label": "⭐ Review Star",
    "format": "number"
  },
  "productId": {
    "label": "🏷️ Product ID",
    "format": "string"
  },
  "_operation": {
    "label": "Op",
    "format": "string"
  },
  "status": {
    "label": "✅ Status",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Google Shopping Price Tracker — Offers & Price History](https://apify.com/sian.agency/google-shopping-price-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sian.agency/google-shopping-price-scraper.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/sian.agency/google-shopping-price-scraper.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).