# Product Review Mining — eMAG Customer Feedback

**Use case:** 

Build a review corpus for sentiment analysis and product research. Collects customer reviews attached to each television listing alongside the product record. Review collection is a paid-plan feature and is billed per review collected, so this task carries a per-run spend cap; on a free plan the run returns the catalog without reviews.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.emag.bg/televizori/c"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": []
  },
  "getReviews": true,
  "getOffers": false,
  "concurrentRequests": 4,
  "maxItems": 100
}
```

## Output

```json
{
  "images": {
    "label": "Image",
    "format": "image"
  },
  "name": {
    "label": "Name",
    "format": "text"
  },
  "brand": {
    "label": "Brand",
    "format": "text"
  },
  "sku": {
    "label": "SKU",
    "format": "text"
  },
  "price": {
    "label": "Price",
    "format": "text"
  },
  "old_price": {
    "label": "Old Price",
    "format": "text"
  },
  "offers": {
    "label": "Offers",
    "format": "array"
  },
  "category": {
    "label": "Category",
    "format": "array"
  },
  "product_url": {
    "label": "Product URL",
    "format": "link"
  },
  "listing_url": {
    "label": "Listing URL",
    "format": "link"
  },
  "ean": {
    "label": "EAN",
    "format": "array"
  },
  "partNums": {
    "label": "Part Numbers",
    "format": "array"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "is_genius": {
    "label": "Genius",
    "format": "boolean"
  },
  "exclusive_for_genius_users": {
    "label": "Genius Only",
    "format": "boolean"
  },
  "is_bf_price": {
    "label": "Black Friday Price",
    "format": "boolean"
  },
  "reviews": {
    "label": "Reviews",
    "format": "array"
  }
}
```

## About this Actor

This example demonstrates how to use [eMag Product & Offers Scraper](https://apify.com/scraping_crew/emag-product-and-offers.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scraping_crew/emag-product-and-offers.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/scraping_crew/emag-product-and-offers.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`).