# Naver Shopping Price Comparison Search (`battery/naver-smartstore-product-search`) Actor

Collect up to 80 Naver price-comparison products from /search/all, not Plus Store /ns/search.

- **URL**: https://apify.com/battery/naver-smartstore-product-search.md
- **Developed by:** [Battery](https://apify.com/battery) (community)
- **Categories:** E-commerce
- **Stats:** 8 total users, 3 monthly users, 23.5% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 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 Shopping Price Comparison Search

Search Naver Shopping's price-comparison results by keyword and collect the
number of products your workflow needs.

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

This Actor collects the **Naver Shopping price-comparison** result surface:

- Example page:
  [Naver Shopping price comparison for `감자`](https://search.shopping.naver.com/search/all?query=%EA%B0%90%EC%9E%90)

It does **not** collect the separate Naver Plus Store result surface at
`https://search.shopping.naver.com/ns/search?query=<keyword>`. Use
**Naver Plus Store Product Search** for that surface.

### What does this Actor do?

The Actor returns current Naver Shopping price-comparison results for one
keyword. It does not attempt to match a caller's product or seller.

### What data does it return?

- Product, channel, catalog, and original mall IDs
- Product name, seller, store grade, URLs, and image
- Sale and discounted prices, delivery fee, review score, and review count
- Public purchase, keep, and registration signals when available

### Input

```json
{
  "query": "무선 이어폰",
  "maxItems": 160
}
```

| Field | Required | Default | Description |
| --- | --- | --- | --- |
| `query` | Yes | - | Naver Shopping search keyword. |
| `maxItems` | No | `80` | Maximum products to return across pages, from 1 to 8,000. |
| `failOnError` | No | `true` | Fail the run on a crawler server error. Set `false` only to store an error row and keep the run successful. |

### Output example

```json
{
  "productNameOrg": "Example Wireless Earbuds",
  "mallName": "Example Store",
  "salePrice": 59000,
  "discountedSalePrice": 49000,
  "totalReviewCount": 820,
  "deliveryFee": 0,
  "keyword": "무선 이어폰",
  "requestedMaxItems": 160,
  "effectiveMaxItems": 160,
  "pageSize": 80,
  "pagesFetched": 2,
  "chargedPageEvents": 2,
  "billingUnit": "fetched-source-page",
  "totalCount": 160,
  "success": true,
  "httpStatus": 200
}
```

### Pricing and limits

- Billing event: one successfully fetched Naver source result page, containing
  up to 80 products. For example, 1-80 requested products use one event and
  8,000 requested products use at most 100 events.
- Source pages are always requested with a page size of 80. `maxItems` controls
  how many products are returned to the caller.
- The searchable result window is limited to 8,000 products per query.
- Actor compute and the KR Residential proxy are included in the event price.

### Troubleshooting

- Missing query: provide a non-empty `query`.
- Invalid `maxItems`: use a value from 1 to 8,000.

### Disclaimer

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

# Actor input Schema

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

Returns Naver Shopping price-comparison search results.

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

Maximum number of products to return across all result pages.

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

Fail on crawler error.

## Actor input object example

```json
{
  "query": "무선 이어폰",
  "maxItems": 80,
  "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-smartstore-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-smartstore-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-smartstore-product-search --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/mK47phcjJhxl3HAnq/builds/Tt9rAvOLRBDBbRN5u/openapi.json