# Naver Images Scraper - 저가 Low-cost💲🔥🖼️🇰🇷 (`delectable_incubator/naver-images-scraper-jeoga-low-cost`) Actor

🖼️ Easily scrape Naver Image Search results by keyword. Extract image titles, original image URLs, source page URLs, thumbnails, dimensions, authors, domains, dates, rankings, sort mode, search timestamps & more. Perfect for AI datasets, computer vision, SEO, visual research & market intelligence.

- **URL**: https://apify.com/delectable\_incubator/naver-images-scraper-jeoga-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Automation, Social media, Videos
- **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 Image Search Scraper" width="100%">
</p>

***

## 🖼️🇰🇷 Naver Image Search Scraper | Bulk Image Keyword Scraper | Naver Image Search | Apify Actor

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

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

Collect structured image datasets including image titles, source page URLs, original image URLs, thumbnails, image dimensions, source websites, authors, publication dates, rankings, Naver image IDs, sort mode, search timestamps, and more.

Perfect for **image research, Korean visual search intelligence, SEO analysis, computer vision, AI datasets, market research, content discovery and trend analysis.**

***

## 🔥 Why This Naver Image Search Scraper?

✔ Best Naver Image Scraper on Apify

✔ Supports Bulk Keyword Scraping

✔ Sort by Relevance or Latest

✔ Automatic Pagination

✔ Fast & Scalable Extraction

✔ Structured JSON / CSV / Excel Output

✔ Perfect for AI & Computer Vision Datasets

✔ No Coding Required

***

## 🖼️🇰🇷 네이버 이미지 검색 스크래퍼 | 대량 이미지 키워드 스크래퍼 | Naver Image Search Scraper | Apify Actor

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

\*\*네이버 이미지 검색 스크래퍼(Apify Actor)\*\*는 \*\*여러 개의 키워드(Bulk Keywords)\*\*를 사용하여 **네이버 이미지 검색(Naver Image Search)** 결과를 빠르고 안정적으로 수집하는 자동화 스크래퍼입니다.

이미지 제목, 원본 이미지 URL, 원본 페이지 URL, 썸네일, 이미지 크기, 출처(Source), 작성자(Author), 게시일(Date), 네이버 이미지 ID, 검색 순위(Ranking), 정렬 방식(Sorting Mode), 검색 시간(Search Timestamp) 등을 구조화된 데이터로 추출할 수 있습니다.

**이미지 리서치(Image Research), 한국 시각 데이터 분석(Korean Visual Intelligence), SEO 분석(SEO Research), 컴퓨터 비전(Computer Vision), AI 데이터셋(AI Datasets), 콘텐츠 리서치(Content Discovery), 시장 조사(Market Research), 트렌드 분석(Trend Analysis), 데이터 마이닝(Data Mining)** 등에 최적화되어 있습니다.

***

#### 🔑 SEO Keywords

**한국어 키워드:**

네이버 이미지 스크래퍼, 네이버 이미지 검색, 이미지 검색 스크래퍼, 이미지 크롤러, 이미지 데이터 수집, 이미지 분석, 사진 검색, 시각 데이터, AI 데이터셋, 컴퓨터 비전, 콘텐츠 분석, SEO 분석, 시장 조사, 데이터 마이닝

**English Keywords:**

Naver Image Scraper, Naver Image Search, Image Search Scraper, Korean Image Scraper, Image Crawler, Image Data Extraction, Computer Vision Dataset, Visual Search, AI Datasets, SEO Research, Content Discovery, Market Research, Trend Analysis, Data Mining, Apify Actor

***

## 🎯 What This Scraper Does

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

#### 📌 Core Features

✅ Scrape Naver Images by Keyword

✅ Bulk Keyword Scraping

✅ Search Hundreds of Keywords

✅ Sort by Relevance or Date

✅ Automatic Pagination

✅ Extract Image Titles

✅ Extract Source Page URLs

✅ Extract Original Image URLs

✅ Extract Thumbnail URLs

✅ Extract Thumbnail Dimensions

✅ Extract Original Image Dimensions

✅ Extract Source Websites

✅ Extract Authors / Writers

✅ Extract Publication Dates

✅ Extract Naver Image IDs

✅ Extract Ranking Position

✅ Detect Location Metadata

✅ Save Sort Type

✅ Save Search Keyword

✅ Save Search Timestamp

✅ High-Speed Cloud Scraping

✅ Clean Structured Datasets

***

## ⚡ Input Configuration (Simple & Powerful)

### 🔥 BULK KEYWORD MODE (SEO BOOST 🚀)

```
{
  "keywords": [
    "artificial intelligence",
    "K-pop",
    "Samsung",
    "travel Korea",
    "architecture",
    "wildlife",
    "fashion",
    "technology",
    "food",
    "landscape"
  ],
  "sortType": "relevance",
  "maxItemsPerKeyword": 100
}
```

Simply add hundreds of keywords.

Each keyword returns up to **maxItemsPerKeyword** image results.

***

## 📊 Extracted Image Data

| Field | Description |
|--------|-------------|
| keyword | Search keyword |
| position | Image position |
| rank | Naver rank |
| imgId | Naver image ID |
| title | Image title |
| pageUrl | Source page URL |
| thumbnailUrl | Thumbnail image |
| thumbWidth | Thumbnail width |
| thumbHeight | Thumbnail height |
| originalImageUrl | Original image URL |
| originalWidth | Original image width |
| originalHeight | Original image height |
| source | Source website |
| authorOrWriter | Author / Writer |
| dateInfo | Publication date |
| hasLocationInfo | Location metadata available |
| domain | Source domain |
| sortType | Search sort mode |
| searchTimestamp | Date & time of extraction |

***

## 💡 Use Cases

Perfect for:

🖼️ Image Research

🇰🇷 Korean Visual Intelligence

🤖 AI Training Datasets

🧠 Computer Vision

📊 SEO Research

📈 Trend Analysis

🏢 Competitor Research

🌍 Market Research

📢 Content Discovery

💼 Business Intelligence

***

## 🚀 Key Features

⚡ Bulk Keyword Support

🖼️ Naver Image Search Scraping

🇰🇷 Korean Search Intelligence

📅 Relevance & Latest Sorting

📌 Automatic Pagination

🧠 Structured Output

📊 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": "artificial intelligence",
  "position": 1,
  "rank": 1,
  "imgId": "234567891",
  "title": "Artificial Intelligence Technology",
  "pageUrl": "https://example.com/article",
  "thumbnailUrl": "https://example.com/thumb.jpg",
  "thumbWidth": 320,
  "thumbHeight": 240,
  "originalImageUrl": "https://example.com/image.jpg",
  "originalWidth": 1920,
  "originalHeight": 1080,
  "source": "Example News",
  "authorOrWriter": "John Smith",
  "dateInfo": "2026-07-27",
  "hasLocationInfo": false,
  "domain": "example.com",
  "sortType": "relevance",
  "searchTimestamp": "2026-07-27T10:15:42Z"
}
```

***

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

✔ Optimized for Apify Search Ranking

✔ High-performance extraction engine

✔ Bulk keyword support

✔ Relevance & latest sorting

✔ Automatic pagination

✔ Original image & source page extraction

✔ Rich image metadata

✔ Clean structured datasets

✔ Enterprise-ready scalability

✔ Built for SEO, computer vision and AI workflows

***

## 💸 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.

Bulk keyword mode is fully supported.

***

#### Can I sort image results?

Yes.

Choose between:

- Relevance
- Latest

***

#### Can I scrape thousands of images?

Yes.

Simply increase the **maxItemsPerKeyword** value.

***

#### Which information is extracted?

The scraper extracts image titles, original image URLs, source page URLs, thumbnails, image dimensions, source websites, authors, publication dates, Naver image IDs, rankings, sorting mode and search timestamps.

***

#### Is pagination supported?

Yes.

The scraper automatically collects results until the requested limit is reached.

***

#### Is coding required?

No.

Everything runs directly on Apify.

***

#### Can I export the data?

Yes.

Supports JSON, CSV, Excel, XML, HTML and RSS.

***

## ⚠️ Disclaimer

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

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 Images, Bing Images, Yahoo Images, Naver Images, Brave Images and global visual search scrapers are coming soon.

🚀 Stay tuned.

***

## 🌍 PrimeScrape Ecosystem

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

🖼️ Visual Intelligence

🇰🇷 Korean Search Intelligence

📊 Image Analytics

📈 Trend Monitoring

🏢 Competitor Intelligence

🤖 AI Training Datasets

🧠 Computer Vision

⚙️ 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 Image Search. Each keyword is scraped separately within the same run.

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

How Naver should order image results. Naver's image tab only supports relevance and recency (no view-count sort, unlike video search).

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

Maximum number of image results to extract for each keyword.

## Actor input object example

```json
{
  "keywords": [
    "AI"
  ],
  "sortType": "relevance",
  "maxItemsPerKeyword": 50
}
```

# 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": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/naver-images-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": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/naver-images-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": 50
}' |
apify call delectable_incubator/naver-images-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-images-scraper-jeoga-low-cost",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/udFUgyG4mUzbVBVBw/builds/zeg7YWhxiAMK3KTe5/openapi.json
