# Отзывы Wildberries по артикулу — выгрузка в JSON

**Use case:** 

Готовый пример: до 1000 свежих отзывов по артикулу Wildberries — оценка, текст, дата, автор, плюс агрегаты по звёздам. JSON или CSV, оплата за отзыв.

## Input

```json
{
  "queries": [],
  "productIds": [
    "337343445",
    "867080317",
    "539647115"
  ],
  "includeReviews": true,
  "maxReviewsPerProduct": 100,
  "dest": "-1257786",
  "maxItems": 500,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "type": {
    "label": "Row type",
    "format": "string"
  },
  "imtId": {
    "label": "Parent ID (imtId)",
    "format": "integer"
  },
  "nmId": {
    "label": "Product ID (nmId)",
    "format": "integer"
  },
  "reviewId": {
    "label": "Review ID",
    "format": "string"
  },
  "stars": {
    "label": "Stars",
    "format": "integer"
  },
  "text": {
    "label": "Review text",
    "format": "string"
  },
  "pros": {
    "label": "Pros",
    "format": "string"
  },
  "cons": {
    "label": "Cons",
    "format": "string"
  },
  "date": {
    "label": "Date",
    "format": "string"
  },
  "size": {
    "label": "Size",
    "format": "string"
  },
  "color": {
    "label": "Color",
    "format": "string"
  },
  "author": {
    "label": "Author",
    "format": "string"
  },
  "photos": {
    "label": "Photos",
    "format": "integer"
  },
  "hasVideo": {
    "label": "Has video",
    "format": "boolean"
  },
  "sellerAnswer": {
    "label": "Seller reply",
    "format": "string"
  },
  "url": {
    "label": "Product URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Wildberries Scraper — Products & Reviews | Парсер Вайлдберриз](https://apify.com/actorforgehq/wildberries-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/actorforgehq/wildberries-scraper) 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/actorforgehq/wildberries-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).