# Coupang Review Scraper — Ratings, Complaints & Sentiment (`ntriqpro/coupang-review-intelligence`) Actor

Scrape Coupang product reviews and get a computed verdict per product: rating distribution, top complaint keywords, per-option rating gaps and a one-line headline. Korean-native. Unofficial tool, not affiliated with Coupang.

- **URL**: https://apify.com/ntriqpro/coupang-review-intelligence.md
- **Developed by:** [daehwan kim](https://apify.com/ntriqpro) (community)
- **Categories:** E-commerce, Agents, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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 usage examples, see the [API](#api) section below.

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).

# README

## Coupang Review Scraper (쿠팡 리뷰 분석) — Complaints & Ratings

### 🇰🇷 한국어 안내

**쿠팡 상품 리뷰를 수집하고, 읽으면 바로 판단이 서는 "판정 요약"까지 계산해 드립니다.** 상품 URL만 넣으세요.

- **리뷰 행** — 별점 · 작성일 · 구매 옵션 · 리뷰 제목/본문 · 사진 수 · 도움돼요 수
- **판정 요약 행 (상품당 1행, 경쟁 스크래퍼에 없는 레이어)** — 평균 별점과 별점 분포, **1~2점 리뷰에서 반복되는 불만 키워드 top 5**, **옵션별 평점 편차**("빨간색만 별점이 낮다"를 잡아냅니다), 재구매 언급 수, 사진 리뷰 비율, 그리고 이 모든 걸 압축한 **한 줄 판정(`headline`)**.

예시 `headline`:

> 코멧 일회용 마스크 — 평점 4.3/5 (수집 120건, 1~2점 8%) · 주요 불만 키워드: 냄새, 고무줄, 얇음 · 옵션 간 평점 차 0.6점("대형 50매" 주의) · 재구매 언급 14건

**누구에게 필요한가요**

- **셀러·브랜드**: 경쟁 상품 10개의 불만 키워드를 한 번에 — 상세페이지와 개선 포인트가 그대로 나옵니다
- **소싱·구매 담당**: 옵션별 평점 편차로 불량 옵션을 사입 전에 걸러냅니다
- **마케터·리서처**: 카테고리의 실제 소비자 언어(불만·재구매 표현)를 정형 데이터로

수집 실패(차단·품절 등) 시 해당 상품은 **과금되지 않고**, 상황을 설명하는 안내 행이 남습니다. 잠시 후 다시 실행하면 대개 통과합니다.

> 비공식 도구입니다. 쿠팡(Coupang Corp.)과 무관하며, 로그인 없이 누구에게나 공개된 페이지만 읽습니다.

***

### What it does

Put in **Coupang product URLs** (Korea's largest e-commerce platform) and get back one flat dataset with two row types:

1. **`review` rows** — rating, date, purchase option, review headline & text, photo count, helpful votes, reviewer's public nickname
2. **`summary` rows** — one computed **verdict per product**, a layer no other Coupang scraper ships: rating distribution, **top complaint keywords mined from 1–2★ reviews**, **per-option rating gaps** (catches "the red variant is the bad one"), repurchase mentions, photo-review ratio, and a one-line `headline` verdict in Korean + `headlineEn` in English.

The verdict is computed by counting, not by an LLM — deterministic, reproducible, no hallucinated claims.

> **Unofficial tool.** This Actor is not affiliated with, endorsed by, or sponsored by Coupang Corp. It collects only publicly accessible pages — no login, no private data.

### What you get (row types)

#### `summary` — one verdict row per product

| Field | Description |
| --- | --- |
| `productId` / `productUrl` / `productTitle` | The product (`productTitle` when Coupang exposes it, else `null`) |
| `displayName` / `displayNameSource` | The name used in the headline. Priority: your `productLabels` entry (`label`) → official title (`product-title`) → the most-reviewed purchase option string (`top-option`, e.g. "유하미카쿠토 코로로 포도, 6개" — Coupang option strings carry the product name, but this is a display fallback, not the official title) → `null` (`product-id`) |
| `headline` | One-line verdict in Korean — read it and you know whether to buy/source/worry |
| `headlineEn` | The same verdict in English |
| `avgRating` / `ratingDistribution` | Average and 1–5★ histogram of collected reviews |
| `lowStarRatio` | Share of collected reviews at 1–2★ |
| `complaintKeywords` | Top recurring words in 1–2★ reviews (`[{word, mentions}]`) |
| `optionRatings` / `optionRatingGap` | Average rating per purchase option and the worst-vs-best gap |
| `repurchaseMentions` | Reviews mentioning repurchase (재구매/재주문/또 구매 …) |
| `photoReviewRatio` | Share of reviews with photos |
| `reviewsCollected` / `pagesCollected` | Sample size behind the verdict |

#### `review` — one row per review

| Field | Description |
| --- | --- |
| `productId` / `productUrl` / `productTitle` | The product |
| `rating` | 1–5 stars |
| `reviewDate` | `YYYY-MM-DD` |
| `option` | Purchase option as displayed (size, color, count …) |
| `reviewHeadline` / `reviewText` | Review title and body |
| `helpfulCount` | "도움돼요" votes |
| `imageCount` | Photos attached |
| `reviewer` | Public display nickname only — exactly what Coupang shows any visitor |
| `survey` | Coupang's structured survey answers when present (e.g. "맛 만족도: 만족") |

Status rows (`noticeCode` + `message`) explain anything that could not be collected and are **never charged**.

### Input

```json
{
    "productUrls": [
        "https://www.coupang.com/vp/products/7108509622",
        "6912345678"
    ],
    "maxReviewsPerProduct": 100,
    "sortBy": "helpful"
}
```

- `productUrls` — up to 20 products per run; full URLs or bare numeric IDs
- `productLabels` — optional display names matched to `productUrls` by position (e.g. `["우리 제품", "경쟁사 A"]`); when set, headlines use your label — recommended when comparing many products
- `maxReviewsPerProduct` — 1–500; the verdict is computed from what is collected
- `sortBy` — `helpful` (Coupang's best-ranked first, default) or `recent` (newest first — use for monitoring)

### Use cases

- **Competitor teardown** — feed 10 competing products, read 10 `headline` verdicts: their complaint keywords are your product page and roadmap
- **Sourcing QA** — the per-option rating gap flags the defective variant before you buy inventory
- **Weekly review monitoring** — schedule with `sortBy: "recent"` to catch new complaints as they appear
- **Korean consumer language mining** — real phrasing Korean buyers use to complain and to praise, structured

### Pricing

Pay per event: a small per-run start fee, then per delivered row — `review` and `summary` rows are billed at their own rates (see the Pricing tab). Status/notice rows are free. Free-plan runs return up to 25 rows, delivering verdict rows first — a taste of the layer that matters.

Rows scale with what you ask for: raise `maxReviewsPerProduct` and you pay for the extra reviews, nothing else.

### Fair collection

- Only publicly accessible pages — no login, no CAPTCHA solving, no private data
- Small, query-scoped collection with polite pacing — this Actor answers per-product questions, it is not a bulk database copier (per-run caps: 20 products, 500 reviews each)
- Products that cannot be collected on a run are reported as status rows and **not charged**
- Personal data: rows contain only what Coupang publicly displays to any visitor (public nickname, public review text). Use downstream in compliance with applicable law (e.g. PIPA, GDPR); **you are the controller of what you do with the data**, including compliance with Coupang's terms as they apply to you.

### Limitations

- Reviews are served by Coupang per product page; a product with reviews disabled or zero reviews returns a status row (not charged)
- Coupang's edge accepts very little non-Korean traffic; this Actor routes through Korean residential proxies automatically — a run can still occasionally be turned away, in which case the affected product is reported as a status row (not charged) and usually passes on retry
- The complaint-keyword miner reads Korean text frequency; it does not translate or interpret
- Product Q\&A and seller responses are not collected in this version

# Actor input Schema

## `productUrls` (type: `array`):

Coupang product page URLs (https://www.coupang.com/vp/products/…) or bare numeric product IDs. Up to 20 per run — one summary verdict row plus the review rows come back for each product.

## `productLabels` (type: `array`):

Optional display names, matched to productUrls by position (e.g. \["우리 제품", "경쟁사 A"]). When set, the verdict headline uses your label — useful when comparing many products.

## `maxReviewsPerProduct` (type: `integer`):

How many reviews to collect per product (1–500). The verdict row is computed from the reviews actually collected.

## `sortBy` (type: `string`):

"helpful" collects Coupang's best-ranked reviews first (default), "recent" collects newest first — use it for monitoring fresh feedback.

## `maxResults` (type: `integer`):

Overall cap on delivered rows (reviews + summaries) for this run.

## `maxRunSecs` (type: `integer`):

Soft deadline. When reached, the run stops fetching and delivers everything collected so far.

## Actor input object example

```json
{
  "productUrls": [
    "https://www.coupang.com/vp/products/8200384824"
  ],
  "productLabels": [],
  "maxReviewsPerProduct": 60,
  "sortBy": "helpful",
  "maxResults": 1000,
  "maxRunSecs": 270
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "productUrls": [
        "https://www.coupang.com/vp/products/8200384824"
    ],
    "productLabels": [],
    "maxReviewsPerProduct": 60,
    "maxResults": 1000,
    "maxRunSecs": 270
};

// Run the Actor and wait for it to finish
const run = await client.actor("ntriqpro/coupang-review-intelligence").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "productUrls": ["https://www.coupang.com/vp/products/8200384824"],
    "productLabels": [],
    "maxReviewsPerProduct": 60,
    "maxResults": 1000,
    "maxRunSecs": 270,
}

# Run the Actor and wait for it to finish
run = client.actor("ntriqpro/coupang-review-intelligence").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "productUrls": [
    "https://www.coupang.com/vp/products/8200384824"
  ],
  "productLabels": [],
  "maxReviewsPerProduct": 60,
  "maxResults": 1000,
  "maxRunSecs": 270
}' |
apify call ntriqpro/coupang-review-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ntriqpro/coupang-review-intelligence"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/VxdO9kCBhkYTST7QP/builds/pJtKHhGh8LCF85Qc3/openapi.json