# Naver Blog & Cafe Brand Mention Monitor

**Use case:** 

Get the 100 most recent Naver Blog and Naver Cafe posts mentioning a keyword: title, URL, snippet, source and publish time. Replace the keyword with your brand or product and schedule it to monitor mentions.

## Input

```json
{
  "keywords": [
    "올리브영 선크림"
  ],
  "sources": [
    "blog",
    "cafe"
  ],
  "maxResultsPerKeyword": 100,
  "sort": "recent",
  "onlyNewSinceLastRun": false,
  "lookbackHours": 48,
  "historyStoreName": "naver-search-monitor-history",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "type": {
    "label": "Source",
    "format": "string"
  },
  "keyword": {
    "label": "Keyword",
    "format": "string"
  },
  "rank": {
    "label": "Rank",
    "format": "integer"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "channelName": {
    "label": "Blog / cafe / publisher",
    "format": "string"
  },
  "publishedAt": {
    "label": "Published",
    "format": "string"
  },
  "publishedAtPrecision": {
    "label": "Date precision",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "summary": {
    "label": "Summary",
    "format": "string"
  },
  "isAd": {
    "label": "Ad",
    "format": "boolean"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Naver Blog, Cafe & News Search Scraper (네이버 블로그·카페) Actor is ready to run with the inputs already set for "Naver Blog & Cafe Brand Mention Monitor". [Sign up or log in](https://console.apify.com/create-task-from-example/AwefWafr5dYo6QdkD) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Naver Blog & Cafe Brand Mention Monitor" task

The Naver Blog, Cafe & News Search Scraper (네이버 블로그·카페) Actor will start running based on the input automatically. You can also change all the input fields, like keywords, sources, and more, to match your specific use case.

### 3. Receive the "Naver Blog & Cafe Brand Mention Monitor" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as source, keyword, rank, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Naver Blog & Cafe Brand Mention Monitor" task via API](https://apify.com/magenta_courser/naver-blog-cafe-search-scraper.md).

## About this Actor

This example demonstrates how to use [Naver Blog, Cafe & News Search Scraper (네이버 블로그·카페)](https://apify.com/magenta_courser/naver-blog-cafe-search-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/magenta_courser/naver-blog-cafe-search-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/magenta_courser/naver-blog-cafe-search-scraper.md

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`).