# Find complaint types in Korean product reviews

**Use case:** 

Label Korean reviews with complaint types, sentiment and purchase motive. Replace the sample texts with your own, or pick a review scraper dataset (Coupang, Olive Young, Naver).

## Input

```json
{
  "texts": [
    "배송이 일주일이나 걸렸고 박스가 다 찢어져서 왔어요.",
    "한 달도 안 돼서 충전이 안 됩니다. 교환 요청했는데 답이 없어요.",
    "향이 너무 강해서 두통이 와요. 가격 대비 별로입니다.",
    "항상 쓰던 거라 이번에도 재구매했어요. 할인할 때 사니 좋네요!"
  ],
  "extraTextFields": [],
  "idFields": [],
  "customLabels": [
    "mentions the smell"
  ],
  "complaintThreshold": 0.5,
  "outputMode": "full",
  "maxItems": 0,
  "maxConcurrency": 10,
  "healthCheck": false
}
```

## Output

```json
{
  "reviewId": {
    "label": "Review id"
  },
  "id": {
    "label": "Id"
  },
  "index": {
    "label": "Index"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "text": {
    "label": "Review",
    "format": "text"
  },
  "labels.complaint": {
    "label": "Complaints",
    "format": "object"
  },
  "labels.sentiment": {
    "label": "Sentiment",
    "format": "object"
  },
  "labels.motive": {
    "label": "Purchase motive",
    "format": "object"
  },
  "labels.custom": {
    "label": "Custom labels",
    "format": "object"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Korean Review Classifier — sentiment, no login · $0.5/1k Actor is ready to run with the inputs already set for "Find complaint types in Korean product reviews". [Sign up or log in](https://console.apify.com/create-task-from-example/NDBIErYtRaSIDCWki) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find complaint types in Korean product reviews" task

The Korean Review Classifier — sentiment, no login · $0.5/1k Actor will start running based on the input automatically. You can also change all the input fields, like review texts, extra text fields, and more, to match your specific use case.

### 3. Receive the "Find complaint types in Korean product reviews" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as review id, id, index, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Find complaint types in Korean product reviews" task via API](https://apify.com/leoworks/korean-review-classifier.md).

## About this Actor

This example demonstrates how to use [Korean Review Classifier — sentiment, no login · $0.5/1k](https://apify.com/leoworks/korean-review-classifier.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/leoworks/korean-review-classifier.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/leoworks/korean-review-classifier.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`).