# Naver Blog search scraper (`data_dino/naver-blog`) Actor

💰 $1.00 per 1000 searches❗ Search Naver Blog by keyword and date range, then collect structured post metadata, previews, engagement counts, and optional full content.

- **URL**: https://apify.com/data\_dino/naver-blog.md
- **Developed by:** [Data Dino](https://apify.com/data_dino) (community)
- **Categories:** Social media, SEO tools, MCP servers
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 results

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 Blog search scraper

Search Naver Blog — South Korea's largest blogging platform — by keyword and date range, and save structured post records to the run dataset. Use it for content discovery, market research, brand and trend monitoring, competitor tracking, and collecting candidate posts for review or analysis.

### Features

- Searches Korean or English keywords across Naver Blog.
- Restricts results to an inclusive `YYYY-MM-DD` date range.
- Returns rich post metadata: title, desktop and mobile URLs, author, blog name, publish date, blog ID, and post number.
- Supports three content modes — `preview` (fast, search snippet only), `full` (complete post text), or `none` (metadata only).
- Captures like and comment counts in full-content mode.
- Supports result and search-page limits for predictable, bounded runs.

### Input

| Field | Type | Description | Default |
|---|---|---|---|
| `keyword` | string | Search keyword (Korean or English). | `맛집` |
| `startDate` | string | Inclusive start date in `YYYY-MM-DD` format. | `2026-08-01` |
| `endDate` | string | Inclusive end date in `YYYY-MM-DD` format. | `2026-08-12` |
| `maxItems` | integer | Maximum posts to return; `0` means all found. | `20` |
| `maxPages` | integer | Maximum search pages to request; `0` means all available. | `0` |
| `contentMode` | string | `preview`, `full`, or `none`. | `preview` |

### Example input

```json
{
  "keyword": "맛집",
  "startDate": "2026-08-01",
  "endDate": "2026-08-12",
  "maxItems": 5,
  "maxPages": 1,
  "contentMode": "preview"
}
```

### Output

Each dataset item represents one matching post and contains:

| Field | Type | Description |
|---|---|---|
| `title` | string | Post title. |
| `url` | string | Canonical Naver Blog post URL. |
| `mobile_url` | string | Mobile post URL used for detail extraction. |
| `author` | string | Author's display name. |
| `blog_name` | string | Blog name. |
| `date` | string | Publish date (`YYYY.MM.DD`). |
| `blog_id` | string | Blog identifier (part of the URL). |
| `log_no` | integer | Naver's internal post number. |
| `snippet` | string | Search-result snippet. |
| `content` | string | Preview or full post content, according to `contentMode`. |
| `likes` | integer | Like count when available. |
| `comments` | integer | Comment count when available. |

Example dataset item:

```json
{
  "title": "청주 소금빵 맛집 우소빵율량점에서 소금빵 포장 후기",
  "url": "https://blog.naver.com/soulmate1315/224376807675",
  "mobile_url": "https://m.blog.naver.com/PostView.nhn?blogId=soulmate1315&logNo=224376807675",
  "author": "먹깨비",
  "blog_name": "깨비깨비 먹깨비의 일상❤️",
  "date": "2026.08.12",
  "blog_id": "soulmate1315",
  "log_no": 224376807675,
  "snippet": "깨비깨비 먹깨비 입니다 :) ...",
  "content": "깨비깨비 먹깨비 입니다 :) ...",
  "likes": 0,
  "comments": 0
}
```

### Notes and limitations

- `preview` mode is the fastest and returns the search snippet without loading post pages; `full` mode loads each post page individually and takes longer.
- Like and comment counts are captured in `full` mode only; `preview` and `none` modes return `0` for these fields.
- Some posts may restrict access or not expose engagement counts; those fields are returned with the available value (`0` when not available).
- Results depend on what Naver's search index returns for the keyword and date range; the actor is not an exhaustive archive of all posts.

# Actor input Schema

## `keyword` (type: `string`):

Korean or English keyword to search in Naver Blog.

## `startDate` (type: `string`):

Inclusive start date in YYYY-MM-DD format.

## `endDate` (type: `string`):

Inclusive end date in YYYY-MM-DD format.

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

Maximum number of posts to return. Use 0 to return every post found.

## `maxPages` (type: `integer`):

Maximum Naver search API pages to request. Use 0 for all available pages.

## `contentMode` (type: `string`):

Choose preview snippets, full post content, or no post body.

## Actor input object example

```json
{
  "keyword": "맛집",
  "startDate": "2026-08-01",
  "endDate": "2026-08-12",
  "maxItems": 5,
  "maxPages": 1,
  "contentMode": "preview"
}
```

# Actor output Schema

## `title` (type: `string`):

Title of the Naver Blog post.

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

Canonical Naver Blog post URL.

## `mobile_url` (type: `string`):

Mobile URL used for detail extraction when available.

## `author` (type: `string`):

Naver Blog author name.

## `blog_name` (type: `string`):

Naver Blog name.

## `blog_id` (type: `string`):

Naver Blog identifier (part of the post URL).

## `log_no` (type: `string`):

Naver's internal post number.

## `date` (type: `string`):

Post publication date.

## `snippet` (type: `string`):

Snippet returned by Naver Blog search.

## `content` (type: `string`):

Preview or full post content according to contentMode.

## `likes` (type: `string`):

Like count when available.

## `comments` (type: `string`):

Comment count when available.

# 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 = {
    "keyword": "맛집",
    "startDate": "2026-08-01",
    "maxItems": 5,
    "maxPages": 1,
    "contentMode": "preview"
};

// Run the Actor and wait for it to finish
const run = await client.actor("data_dino/naver-blog").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 = {
    "keyword": "맛집",
    "startDate": "2026-08-01",
    "maxItems": 5,
    "maxPages": 1,
    "contentMode": "preview",
}

# Run the Actor and wait for it to finish
run = client.actor("data_dino/naver-blog").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 '{
  "keyword": "맛집",
  "startDate": "2026-08-01",
  "maxItems": 5,
  "maxPages": 1,
  "contentMode": "preview"
}' |
apify call data_dino/naver-blog --silent --output-dataset

```

## MCP server setup

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

```

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/lD4OLOnYERw3eO2tt/builds/EjZVCYO8AbkigQnaM/openapi.json