# Naver Place Reviews Scraper (`battery/naver-smartplace-reviews`) Actor

Collect up to 100 recent public visitor reviews from a Naver Place, including text, rating, author, owner reply, media, and pagination cursor.

- **URL**: https://apify.com/battery/naver-smartplace-reviews.md
- **Developed by:** [Battery](https://apify.com/battery) (community)
- **Categories:** E-commerce, SEO tools, Lead generation
- **Stats:** 2 total users, 1 monthly users, 6.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$4.00 / 1,000 place reviews

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

## Naver Place Reviews Scraper

Collect recent public visitor reviews from a Naver Place. Each review is saved
as a separate Dataset row with its text, rating, public author details, owner
reply, media thumbnails, and creation date.

### What does this Actor do?

Enter a numeric Naver Place ID or a public Place URL. The Actor calls Naver
Place's visitor-review data endpoint and collects up to 100 recent reviews per
run. Use the returned `nextCursor` in another run to continue from the next
page.

### What data does it return?

- Review ID, text, rating, and creation date
- Public author ID and nickname
- Owner reply when present
- Review media thumbnail URLs
- Place ID, business type, total review count, and pagination cursor
- The verified WTM GraphQL collection source

### Input

```json
{
  "placeId": "1234567890",
  "maxReviews": 100
}
```

| Field | Required | Description |
| --- | --- | --- |
| `placeId` | Conditional | Numeric Naver Place ID. |
| `url` | Conditional | Public Naver Place URL used when `placeId` is absent. |
| `businessType` | No | Optional type parsed from the URL when available. ID-only requests use the generic `place` type. |
| `maxReviews` | No | Number of recent reviews to collect, from 1 to 100. |
| `cursor` | No | `nextCursor` returned by a previous run. |
| `failOnError` | No | Fail the run when collection returns a server error. |

Either `placeId` or `url` is required.

### Output example

```json
{
  "reviewId": "review-123",
  "rating": 5,
  "body": "Great service.",
  "created": "7.18.금",
  "author": {
    "id": "author-1",
    "nickname": "visitor"
  },
  "reply": {
    "body": "Thank you."
  },
  "media": [
    {
      "thumbnail": "https://example.com/review.jpg"
    }
  ],
  "mediaCount": 1,
  "placeId": "1234567890",
  "businessType": "place",
  "source": "wtm_graphql",
  "fallbackApplied": false,
  "proxyUsed": true,
  "httpStatus": 200
}
```

### Pricing and limits

- Price: **$0.004 per successful place-review collection** (**$4 per 1,000 collections**)
- Up to 100 recent reviews per run
- Every Naver GraphQL request uses a KR Residential proxy.
- The collector retries the same GraphQL operation at most twice and does not
  switch to HTML or another data source.

This Actor is unofficial and is not affiliated with, endorsed by, or sponsored
by Naver.

# Actor input Schema

## `placeId` (type: `string`):

Numeric Naver Place ID. Either placeId or url is required.

## `url` (type: `string`):

Public Naver Place URL. Either url or placeId is required.

## `businessType` (type: `string`):

Optional Naver Place type parsed from the URL when available. Generic place works for an ID-only request.

## `maxReviews` (type: `integer`):

Maximum number of recent reviews to collect.

## `cursor` (type: `string`):

Optional nextCursor from a previous run.

## `failOnError` (type: `boolean`):

Fail the run when the crawler returns a server error.

## Actor input object example

```json
{
  "maxReviews": 100,
  "failOnError": true
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `output` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("battery/naver-smartplace-reviews").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("battery/naver-smartplace-reviews").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{}' |
apify call battery/naver-smartplace-reviews --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=battery/naver-smartplace-reviews",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/KYQ96FNu1KXn3dgns/builds/ZNO6IAXTL9w0eFISk/openapi.json