# Naver Cafes Scraper - 저가 Low-cost💲🔥☕🇰🇷 (`delectable_incubator/naver-cafes-scraper-jeoga-low-cost`) Actor

☕ Easily scrape Naver Cafes results by keyword. Extract titles, URLs, descriptions, thumbnails, image counts, cafe names, cafe URLs, cafe status, publication dates, rankings, sort types & timestamps. Perfect for Korean community research, Naver Cafe intelligence, market analysis & AI datasets

- **URL**: https://apify.com/delectable\_incubator/naver-cafes-scraper-jeoga-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Automation, Social media, SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

<p align="center">
  <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="Naver Cafe Search Scraper" width="100%">
</p>

***

## ☕🇰🇷 Naver Cafe Search Scraper | Bulk Cafe Keyword Scraper | Naver Cafe Search | Apify Actor

### 🚀 Extract Naver Cafe Search Results in Seconds (No Code)

The **Naver Cafe Search Scraper (Apify Actor)** is a powerful, scalable and SEO-optimized scraping solution designed to extract public **Naver Cafe Search results** using **bulk keywords**.

Collect structured community and forum datasets including post titles, post URLs, descriptions, thumbnails, image counts, cafe names, cafe URLs, cafe avatars, representative cafe status, publication information, domains, result positions, sorting modes, search keywords and search timestamps.

The Actor supports **Relevance** and **Newest First** sorting, making it ideal for **Korean community research, Naver Cafe intelligence, content discovery, competitor research, market analysis, trend monitoring, brand monitoring, SEO research, AI datasets and business intelligence.**

***

## 🔥 Why This Naver Cafe Search Scraper?

✔ Best Naver Cafe Search Scraper on Apify

✔ Supports Bulk Keyword Scraping

✔ Search Multiple Keywords in One Run

✔ Scrape Naver Cafe Search Results

✔ Sort by Relevance

✔ Sort by Newest

✔ Extract Cafe Post Titles

✔ Extract Cafe Post URLs

✔ Extract Post Descriptions

✔ Extract Thumbnail URLs

✔ Extract Image Counts

✔ Extract Cafe Names

✔ Extract Cafe URLs

✔ Extract Cafe Avatars

✔ Detect Representative Cafes

✔ Extract Publication Information

✔ Extract Source Domains

✔ Track Result Positions

✔ Automatic Result Collection

✔ Fast & Scalable Extraction

✔ Structured JSON / CSV / Excel Output

✔ Perfect for Community & Forum Research

✔ No Coding Required

***

## ☕🇰🇷 네이버 카페 검색 스크래퍼 | 대량 카페 키워드 스크래퍼 | Naver Cafe Search | Apify Actor

### 🚀 몇 초 만에 네이버 카페 검색 결과를 수집하세요 (코딩 불필요)

\*\*네이버 카페 검색 스크래퍼(Apify Actor)\*\*는 \*\*대량 키워드(Bulk Keywords)\*\*를 사용하여 네이버 **카페 검색(Naver Cafe Search)** 결과를 빠르고 안정적으로 수집하는 자동화 스크래퍼입니다.

검색 결과에서 카페 게시물 제목, 게시물 URL, 설명, 썸네일, 이미지 개수, 카페 이름, 카페 URL, 카페 아바타, 대표 카페 여부, 게시 날짜, 도메인, 검색 순위, 정렬 방식 및 검색 시간을 구조화된 데이터로 추출할 수 있습니다.

또한 \*\*관련도순(Relevance), 최신순(Newest First)\*\*의 두 가지 정렬 옵션을 지원합니다.

**한국 커뮤니티 리서치, 네이버 카페 인텔리전스, 콘텐츠 분석, 경쟁사 분석, 시장 조사, 트렌드 모니터링, 브랜드 모니터링, SEO 분석, AI 데이터셋 및 비즈니스 인텔리전스** 등에 최적화되어 있습니다.

***

#### 🔑 SEO Keywords

**한국어 키워드:**

네이버 카페 스크래퍼, 네이버 카페 검색, 네이버 카페 검색 스크래퍼, 네이버 카페 데이터 수집, 네이버 카페 크롤러, 네이버 카페 데이터 추출, 카페 검색 데이터, 한국 커뮤니티 스크래퍼, 한국 포럼 스크래퍼, 네이버 커뮤니티 검색, 커뮤니티 데이터 분석, 카페 콘텐츠 분석, 경쟁사 분석, 시장 조사, 트렌드 분석, 브랜드 모니터링, 데이터 마이닝

**English Keywords:**

Naver Cafe Scraper, Naver Cafe Search Scraper, Naver Cafe Search, Naver Cafe Data Extraction, Naver Cafe Crawler, Korean Community Scraper, Korean Forum Scraper, Korean Community Search, Naver Community Data, Naver Cafe Data, Community Content Research, Forum Data Extraction, Bulk Cafe Keyword Scraper, Competitor Research, Market Research, Trend Analysis, Brand Monitoring, Data Mining, AI Datasets, Business Intelligence, Apify Actor

***

## 🎯 What This Scraper Does

This Apify Actor extracts public search results directly from **Naver Cafe Search**.

The scraper allows you to search for multiple keywords in a single run and collect structured information about cafe posts returned by Naver.

Each keyword is processed separately, allowing you to build large-scale datasets for Korean community research, forum intelligence, market research and content analysis.

#### 📌 Core Features

✅ Scrape Naver Cafe Posts by Keyword

✅ Bulk Keyword Scraping

✅ Search Multiple Keywords in One Run

✅ Search Hundreds of Keywords

✅ Process Each Keyword Separately

✅ Sort by Relevance

✅ Sort by Newest

✅ Extract Cafe Post Titles

✅ Extract Cafe Post URLs

✅ Extract Post Descriptions

✅ Extract Thumbnail Images

✅ Extract Image Counts

✅ Extract Cafe Names

✅ Extract Cafe URLs

✅ Extract Cafe Avatars

✅ Detect Representative Cafes

✅ Extract Publication Information

✅ Extract Source Domains

✅ Track Result Positions

✅ Save Search Keywords

✅ Save Sort Type

✅ Save Search Timestamp

✅ Fast Cloud Scraping

✅ Clean Structured Datasets

***

## ⚡ Input Configuration (Simple & Powerful)

### 🔥 BULK KEYWORD MODE (SEO BOOST 🚀)

```
{
  "keywords": [
    "AI",
    "인공지능",
    "K-pop",
    "Samsung",
    "여행",
    "맛집",
    "패션",
    "축구",
    "게임",
    "기술"
  ],
  "sortType": "relevance",
  "maxItemsPerKeyword": 50
}
```

Simply add multiple keywords to the `keywords` list.

Each keyword is processed separately during the same Actor run.

You can also choose how Naver should order the cafe results.

***

### 📊 Available Sort Types

#### `relevance`

**Relevance (관련도순)**

Returns cafe results ordered by relevance to the search keyword.

#### `date`

**Newest First (최신순)**

Returns the newest cafe posts first.

> Naver Cafe Search supports relevance and date sorting. View-count sorting is not available for cafe posts.

***

### 🔥 Example: Bulk Cafe Keyword Search

```
{
  "keywords": [
    "AI",
    "K-pop",
    "Samsung"
  ],
  "sortType": "date",
  "maxItemsPerKeyword": 100
}
```

With this configuration, the Actor searches for:

- AI
- K-pop
- Samsung

Each keyword is processed separately, with up to **100 cafe post results per keyword**, sorted by **Newest First**.

***

## 📊 Extracted Cafe Data

| Field           | Description                                                        |
| --------------- | ------------------------------------------------------------------ |
| keyword         | Search keyword                                                     |
| position        | Cafe result position                                               |
| title           | Cafe post title                                                    |
| postUrl         | Cafe post URL                                                      |
| description     | Cafe post description                                              |
| thumbnailUrl    | Cafe post thumbnail image                                          |
| imageCount      | Number of images associated with the post                          |
| cafeName        | Cafe name                                                          |
| cafeUrl         | Cafe URL                                                           |
| cafeAvatarUrl   | Cafe avatar image                                                  |
| isOfficial      | Whether the cafe is identified as a representative / official cafe |
| uploadedText    | Publication date / upload information                              |
| domain          | Source domain                                                      |
| sortType        | Search sorting mode                                                |
| searchTimestamp | Date & time of extraction                                          |

***

## 💡 Use Cases

Perfect for:

☕ **Naver Cafe Research**

🇰🇷 **Korean Community Intelligence**

🔍 **Naver Community Search**

📊 **Community Content Analysis**

📈 **Trend Analysis**

📢 **Content Discovery**

🏢 **Competitor Research**

🏷️ **Brand Monitoring**

👥 **Community & Forum Research**

🛍️ **Product & Market Research**

🌍 **Market Intelligence**

🤖 **AI Training Datasets**

🧠 **Data Mining**

💼 **Business Intelligence**

📚 **Content Research**

***

## 🚀 Key Features

⚡ Bulk Keyword Support

☕ Naver Cafe Search Scraping

🇰🇷 Korean Community Search Intelligence

🔍 Naver Cafe Keyword Research

🎯 Relevance-Based Sorting

📅 Newest Results Sorting

📌 Result Position Tracking

📝 Cafe Post Title Extraction

🔗 Cafe Post URL Extraction

📄 Description Extraction

🖼️ Thumbnail Extraction

🔢 Image Count Extraction

☕ Cafe Information Extraction

🔗 Cafe URL Extraction

👤 Cafe Avatar Extraction

✅ Representative Cafe Detection

📅 Publication Information Extraction

🌐 Domain Detection

⏱️ Search Timestamp Tracking

🧠 Structured Community Datasets

📊 High-Speed Extraction

🔁 Reliable Cloud Execution

💾 Export-Ready Datasets

⚙️ Enterprise-Ready Apify Actor

***

## 📤 Export Formats

✔ JSON

✔ CSV

✔ Excel (XLSX)

✔ XML

✔ HTML

✔ RSS

***

## 📦 Example Output

```
{
  "keyword": "AI",
  "position": 1,
  "title": "인공지능 기술에 대한 최신 정보",
  "postUrl": "https://cafe.naver.com/example/123456",
  "description": "AI와 인공지능 기술에 대한 다양한 정보와 커뮤니티 의견을 확인할 수 있습니다.",
  "thumbnailUrl": "https://example.com/thumbnail.jpg",
  "imageCount": 5,
  "cafeName": "Example Naver Cafe",
  "cafeUrl": "https://cafe.naver.com/example",
  "cafeAvatarUrl": "https://example.com/avatar.jpg",
  "isOfficial": false,
  "uploadedText": "2026.07.27",
  "domain": "cafe.naver.com",
  "sortType": "relevance",
  "searchTimestamp": "2026-07-27T10:15:42Z"
}
```

***

## 🔥 Why This is the BEST Naver Cafe Search Scraper on Apify?

✔ Optimized for Apify Search Ranking

✔ Designed specifically for Naver Cafe Search

✔ High-performance extraction engine

✔ Bulk keyword support

✔ Multiple keywords in a single run

✔ Relevance & Newest sorting

✔ Rich cafe post metadata

✔ Cafe information extraction

✔ Representative cafe detection

✔ Thumbnail and image count extraction

✔ Publication information extraction

✔ Source domain extraction

✔ Result position tracking

✔ Clean structured datasets

✔ Enterprise-ready scalability

✔ Built for community research, content intelligence and Korean market analysis

***

## 💸 Pricing

This scraper runs on a **pay-per-result** pricing model.

You only pay for successfully extracted records.

💳 **Price: $1.59 / 1,000 results**

***

## ❓ FAQ

#### Can I scrape multiple keywords at once?

Yes.

The Actor supports **Bulk Keyword Scraping**.

Simply add multiple keywords to the `keywords` list and each keyword will be processed separately during the same run.

***

#### Can I choose how cafe results are sorted?

Yes.

You can choose between two sorting modes:

- **Relevance (관련도순)**
- **Newest First (최신순)**

Use the `sortType` parameter to select your preferred sorting mode.

***

#### Can I scrape the newest Naver Cafe posts?

Yes.

Set:

```
{
  "sortType": "date"
}
```

This allows you to focus on the newest available cafe search results.

***

#### Can I scrape hundreds of cafe posts per keyword?

Yes.

Simply increase the `maxItemsPerKeyword` value.

For example:

```
{
  "maxItemsPerKeyword": 500
}
```

The Actor will attempt to collect up to **500 cafe post results for each keyword**.

***

#### What information is extracted?

The scraper can extract:

- Search keyword
- Result position
- Cafe post title
- Cafe post URL
- Description
- Thumbnail URL
- Image count
- Cafe name
- Cafe URL
- Cafe avatar
- Representative cafe status
- Publication information
- Source domain
- Sort type
- Search timestamp

***

#### Can I research Naver Cafes?

Yes.

The Actor extracts cafe-related information including:

- Cafe name
- Cafe URL
- Cafe avatar
- Representative cafe status

This makes the dataset useful for community research, market intelligence and competitive analysis.

***

#### Can I identify representative cafes?

Yes.

The dataset includes the `isOfficial` field, which indicates whether a cafe is identified as a representative or official cafe.

***

#### Is bulk keyword scraping supported?

Yes.

You can provide a large list of keywords.

For example:

```
{
  "keywords": [
    "AI",
    "K-pop",
    "Korean food",
    "travel Korea",
    "Samsung"
  ]
}
```

Each keyword is scraped separately within the same Actor run.

***

#### Is coding required?

No.

Everything runs directly on Apify.

Simply configure:

1. Your keywords
2. Your preferred sorting mode
3. The maximum number of results per keyword

***

#### Can I export the data?

Yes.

The extracted dataset can be exported in multiple formats, including:

✔ JSON

✔ CSV

✔ Excel (XLSX)

✔ XML

✔ HTML

✔ RSS

***

## ⚠️ Disclaimer

This tool is an independent data extraction solution and is **not affiliated with Naver or Naver Cafe**.

Users are responsible for complying with Naver's Terms of Service and all applicable laws.

***

## 🔗 Related Actors

We are building the complete **PrimeScrape Search Intelligence Suite**.

More premium Google Community, Bing Community, Yahoo Community, Brave Community, Naver Cafe and global forum and community search scrapers are coming soon.

🚀 Stay tuned.

***

## 🌍 PrimeScrape Ecosystem

Built for large-scale data extraction, automation, AI datasets and business intelligence.

☕ **Community Intelligence**

🇰🇷 **Korean Search Intelligence**

🔍 **Search Intelligence**

📊 **Community Analytics**

📈 **Trend Monitoring**

🏢 **Competitor Intelligence**

🏷️ **Brand Monitoring**

🛍️ **Market Intelligence**

🤖 **AI Training Datasets**

🧠 **Community Data Mining**

⚙️ **Automation Pipelines**

🌐 **Public Data Extraction**

***

## 📬 Support

⭐⭐⭐⭐⭐

If this scraper saves you time, please leave a review.

For enterprise scraping solutions, custom Apify Actors or large-scale scraping projects, feel free to contact **PrimeScrape**.

# Actor input Schema

## `keywords` (type: `array`):

Bulk list of keywords (검색어) to search on Naver Cafe Search (tab.cafe.all). Each keyword is scraped separately within the same run.

## `sortType` (type: `string`):

How Naver should order cafe results. Naver's cafe tab only supports relevance and date sorting (no view-count sort exists for cafe posts).

## `maxItemsPerKeyword` (type: `integer`):

Maximum number of cafe post results to extract for each keyword.

## Actor input object example

```json
{
  "keywords": [
    "AI"
  ],
  "sortType": "relevance",
  "maxItemsPerKeyword": 100
}
```

# Actor output Schema

## `overview` (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 = {
    "keywords": [
        "AI"
    ],
    "sortType": "relevance",
    "maxItemsPerKeyword": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/naver-cafes-scraper-jeoga-low-cost").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 = {
    "keywords": ["AI"],
    "sortType": "relevance",
    "maxItemsPerKeyword": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/naver-cafes-scraper-jeoga-low-cost").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 '{
  "keywords": [
    "AI"
  ],
  "sortType": "relevance",
  "maxItemsPerKeyword": 100
}' |
apify call delectable_incubator/naver-cafes-scraper-jeoga-low-cost --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=delectable_incubator/naver-cafes-scraper-jeoga-low-cost",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/IHmmpM2Ahfe8iSAf2/builds/4TLUqskcNw4CyeH3W/openapi.json