# Naver Blog Search Scraper (`bovi/map-scraper`) Actor

Search public Naver Blog results by keyword and collect post titles, links, blog details, excerpts, and optional public post content.

- **URL**: https://apify.com/bovi/map-scraper.md
- **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community)
- **Categories:** SEO tools, Social media, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.15 / 1,000 naver blog search scrapers

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/actors/running/actors-in-store.md#pay-per-event

## 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 Blog Search Scraper

Search public Naver Blog results for one keyword. Each result contains the post title, public post URL, blog and post identifiers, the blog display name when shown, the search excerpt, and the publication label shown by Naver. With fetchContent enabled, the actor also requests each accessible public post page and adds its author name, calendar date, body text (up to 20,000 characters), hashtags, and image count. Fields that Naver does not expose on a particular page are omitted.

The actor uses Naver's public mobile blog-search page and public post pages. It does not log in, solve challenges, or call Naver's credentialed Search API or advertising keyword tools. Keyword-volume metrics and generated sponsored-post verdicts are not part of this dataset. If a post page is unavailable, the search result is still returned with the fields available from its search card.

### Input

| Field | Type | Default | Description |
| --- | --- | --- | --- |
| query | string | 제주도 맛집 | One Naver Blog search keyword. |
| maxResults | integer | 50 | Maximum number of post records to return, capped at 1,000. |
| fetchContent | boolean | true | Fetch public post pages for body text and article details. |
| proxyConfiguration | object | none | Optional Apify proxy configuration. Omitted or disabled means direct requests. |

Example input:

```json
{
  "query": "제주도 맛집",
  "maxResults": 10,
  "fetchContent": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

### Example output

Each dataset item represents one Naver Blog post. Values below describe the fields; actual values are read from the live search card and, when enabled, its public post page.

```json
{
  "keyword": "<search keyword>",
  "title": "<post title>",
  "url": "https://m.blog.naver.com/<blog-id>/<post-id>",
  "blogId": "<blog-id>",
  "logNo": "<post-id>",
  "blogName": "<blog display name>",
  "snippet": "<search excerpt>",
  "authorName": "<author shown on the post page>",
  "postDate": "YYYY-MM-DD",
  "content": "<public post text>",
  "contentLength": 0,
  "tags": ["<hashtag>"],
  "imageCount": 0
}
```

### Price per result

Delivered dataset items are billed by Apify at the current per-item platform rate for your account and plan. This actor does not add a separate Actor.charge fee or declare a fixed USD price, so check your Apify plan's current usage rates before running a large collection.

# Actor input Schema

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

Search public Naver Blog results for one keyword.

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

Maximum number of post records to return.

## `fetchContent` (type: `boolean`):

When enabled, also read accessible post pages for author, date, body text, hashtags, and image count.

## `proxyConfiguration` (type: `object`):

Optional Apify proxy. Without an enabled proxy configuration, requests go directly to Naver.

## Actor input object example

```json
{
  "query": "제주도 맛집",
  "maxResults": 50,
  "fetchContent": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "query": "제주도 맛집",
    "fetchContent": true,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bovi/map-scraper").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": "제주도 맛집",
    "fetchContent": True,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("bovi/map-scraper").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 '{
  "query": "제주도 맛집",
  "fetchContent": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call bovi/map-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bovi/map-scraper"
        }
    }
}
```

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/YmqGb63F379M05gUu/builds/CNQAIJu3TnAeuGfEj/openapi.json