# Naver Plus Store Product Search (`battery/naver-plusstore-product-search`) Actor

Search Naver Plus Store products by keyword with seller, price, review, delivery, image, and product ID data.

- **URL**: https://apify.com/battery/naver-plusstore-product-search.md
- **Developed by:** [Battery](https://apify.com/battery) (community)
- **Categories:** E-commerce, Business, Marketing
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 fetched result pages

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 Plus Store Product Search

Collect up to 10,000 Naver Plus Store products for one search query.

### Which Naver Shopping search does this Actor collect?

This Actor collects the **Naver Plus Store** result surface:

- Example page:
  [Naver Plus Store search for `감자`](https://search.shopping.naver.com/ns/search?query=%EA%B0%90%EC%9E%90)
- Page pattern: `https://search.shopping.naver.com/ns/search?query=<keyword>`
- Data path: `/ns/v1/search/paged-products`

It does **not** collect the separate Naver Shopping price-comparison result
surface at `https://search.shopping.naver.com/search/all?query=<keyword>`.
Use **Naver Shopping Price Comparison Search** for that surface.

### What does this Actor do?

Enter a search query and choose how many products to collect. The Actor returns
the Plus Store product list in the order supplied by Naver.

### What data does it return?

- Product IDs, name, seller, prices, and image
- Review metrics, delivery flags, and category IDs
- Query, requested maximum, returned count, source pages fetched, total
  available count, and pagination state

### Input

```json
{
  "query": "무선 이어폰",
  "maxItems": 300
}
```

| Field | Required | Default | Description |
| --- | --- | --- | --- |
| `query` | Yes | - | Search query, up to 100 characters. |
| `maxItems` | No | `100` | Products to collect in source order, from 1 to 10,000. |
| `failOnError` | No | `true` | Fail the run when collection fails. |

### Output example

```json
{
  "query": "무선 이어폰",
  "channelProductId": "1234567890",
  "productName": "Example Earbuds",
  "salePrice": 59000,
  "mallName": "Example Store",
  "success": true,
  "httpStatus": 200
}
```

Each Dataset row is one product. Search-level fields are copied onto every row.
An empty valid search returns an empty Dataset and remains a successful
operation.

### Collection contract

- Source: Naver Plus Store's `paged-products` search endpoint
- Maximum: 10,000 products per run, fetched in source pages of up to 100
- Transport: KR Residential proxy
- Retry: the same endpoint is retried only for network errors, HTTP 429, and
  HTTP 5xx
- Invalid HTTP 4xx, JSON, or response schema fails immediately
- No alternative endpoint or fallback source is used

### Pricing

- Price: **$0.002 per fetched source page** (**$2 per 1,000 pages**).
- Billing event: one event for every successfully fetched Plus Store source
  page, with up to 100 products per page.
- `maxItems=100` requests at most one event; `maxItems=10,000` requests at most
  100 events. If the result set ends earlier, only pages actually fetched are
  charged.
- Actor compute and the KR Residential proxy are included in the event price.

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

# Actor input Schema

## `query` (type: `string`):

Search query.

## `maxItems` (type: `integer`):

Maximum number of products to collect across source pages.

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

Fail on crawler error.

## Actor input object example

```json
{
  "query": "무선 이어폰",
  "maxItems": 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 = {
    "query": "무선 이어폰"
};

// Run the Actor and wait for it to finish
const run = await client.actor("battery/naver-plusstore-product-search").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 = { "query": "무선 이어폰" }

# Run the Actor and wait for it to finish
run = client.actor("battery/naver-plusstore-product-search").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 '{
  "query": "무선 이어폰"
}' |
apify call battery/naver-plusstore-product-search --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/n8hDPfiBafPlk7471/builds/CgPzY66jKhepH8f8i/openapi.json