# Electronics Review Quality Mining on Wildberries

**Use case:** 

Mine Wildberries electronics reviews to spot recurring defects and quality complaints early. This example pulls ratings and full review text for headphone searches, filtered to written feedback only, skipping empty star ratings. Use it to audit a competitor's line or benchmark your own electronics against buyer sentiment. Output includes product name, rating, and review text.

## Input

```json
{
  "searchQueries": [
    "наушники"
  ],
  "productUrls": [],
  "nmIds": [],
  "minRating": 1,
  "maxRating": 5,
  "onlyWithText": true,
  "onlyWithPhotos": false,
  "dateFrom": "",
  "dateTo": "",
  "sortBy": "newest",
  "maxProductsPerSearch": 5,
  "maxReviewsPerProduct": 5,
  "maxItems": 25,
  "debugLogging": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "authorName": {
    "label": "Reviewer",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "text": {
    "label": "Review",
    "format": "string"
  },
  "createdDate": {
    "label": "Date",
    "format": "string"
  },
  "productName": {
    "label": "Product",
    "format": "string"
  },
  "productUrl": {
    "label": "Product Link",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Wildberries Reviews Scraper: Ratings, Text & Photos](https://apify.com/getascraper/wildberries-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getascraper/wildberries-reviews-scraper.md) to learn more, explore other use cases, and run it yourself.


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

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/getascraper/wildberries-reviews-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).