# Naver Place Rank Checker (네이버 플레이스 순위) (`azet-io/naver-place-rank`) Actor

Organic rank of a store in Naver mobile local search (플레이스), ads excluded, plus top 10 places per keyword.

- **URL**: https://apify.com/azet-io/naver-place-rank.md
- **Developed by:** [AZET](https://apify.com/azet-io) (community)
- **Categories:** SEO tools, Lead generation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Naver Place Rank Checker (네이버 플레이스 순위 확인)

Check where a store ranks in **Naver Place** (네이버 플레이스) for any keyword — ads excluded, **up to rank 300** — with visitor and blog review counts, and get the top 10 places for that keyword.

Built for Korean local-marketing agencies, franchise HQs and store owners who track 플레이스 순위 every day.

### Input

```json
{ "queries": [ { "keyword": "송도 고깃집", "place": "https://m.place.naver.com/restaurant/1621702708" } ] }
```

`place` accepts a Naver Place URL or the numeric place ID. Leave it out to just get the top 10.

### Output (one row per keyword)

| field | meaning |
|---|---|
| rank | organic rank of your place (ads excluded), `null` if not within the top 300 |
| totalPlaces | number of places Naver lists for the keyword |
| me | your place: name, category, visitor reviews, blog reviews, url |
| top | top 10 places: rank, placeId, name, category, visitorReviews, blogReviews, url |

### How it works

Reads the organic Naver Place list without location (the same order as the first screen of Naver mobile search when GPS is not shared), 100 places per request, up to 300. Naver personalises by location and time, so treat it as a consistent daily benchmark, not the exact order every user sees.

### Pricing

Free for now. If pricing changes, it will be announced on this page before it starts.

Made by AZET (azet.io). The same engine runs the free checker at neulketing.com/플레이스-순위-확인.

# Actor input Schema

## `queries` (type: `array`):

List of {keyword, place}. place = Naver Place URL or numeric ID (optional — without it you get the top 10 list).

## Actor input object example

```json
{
  "queries": [
    {
      "keyword": "송도 고깃집",
      "place": "https://m.place.naver.com/restaurant/1621702708"
    }
  ]
}
```

# Actor output Schema

## `results` (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 = {
    "queries": [
        {
            "keyword": "송도 고깃집",
            "place": "https://m.place.naver.com/restaurant/1621702708"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("azet-io/naver-place-rank").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 = { "queries": [{
            "keyword": "송도 고깃집",
            "place": "https://m.place.naver.com/restaurant/1621702708",
        }] }

# Run the Actor and wait for it to finish
run = client.actor("azet-io/naver-place-rank").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 '{
  "queries": [
    {
      "keyword": "송도 고깃집",
      "place": "https://m.place.naver.com/restaurant/1621702708"
    }
  ]
}' |
apify call azet-io/naver-place-rank --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,azet-io/naver-place-rank"
        }
    }
}
```

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/v1OOh4cFxyPohSBq9/builds/ycLihfhlkGwoeF4L8/openapi.json