Naver Cafe SERP Scraper

📌 What can you collect with Naver Cafe SERP Scraper?

This template collects the latest search results (keyword, title, content, author, publication time, image, extraction time, etc.) from Naver Cafe.

Data is collected from NAVER. NAVER is a publishing or news service where readers discover articles, topics, authors, and current information.

💰 Pricing

This template currently has no per-line charge.

📦 Output

Naver Cafe SERP Scraper returns these fields:

• 검색키워드
• 제목
• 제목링크_URL
• 내용
• 작성자
• 작성자링크_URL
• 게시시간
• 이미지
• 추출시간

Example Data Preview:

{
  "검색키워드": "모동숲",
  "제목": "순정 찰스 or 마치 20마일 입양원합니다",
  "제목링크_URL": "https://cafe.naver.com/ghdi58?iframe_url=%2FArticleRead.nhn%3Fclubid%3D14062859%26articleid%3D5812583%26art%3DaW50ZXJuYWwtY2FmZS13ZWItc2VjdGlvbi1zZWFyY2gtbGlzdA.eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJjYWZlVHlwZSI6IkNBRkVfVVJMIiwiYXJ0aWNsZUlkIjo1ODEyNTgzLCJjYWZlVXJsIjoiZ2hkaTU4IiwiaXNzdWVkQXQiOjE3MjE4MDIzNzY3ODF9.2LMdfpR5sd6zV4rQ7L5D4xXcejw-vOjjhMNx1JEtCCU%26query%3D%25EB%25AA%25A8%25EB%258F%2599%25EC%2588%25B2",
  "내용": "⛔️통신인증 필수, 미인증 시 제재대상⛔️ ✅공지 확인 / [모동숲 통신인증] 필수작성 https://cafe.naver.com/ghdi58/5421551...",
  "작성자": "닌텐도 스위치 한국 커뮤니티[동물의숲,포켓몬스터,젤다,마리오]",
  "작성자링크_URL": "https://cafe.naver.com/ghdi58",
  "게시시간": "5분 전",
  "이미지": null,
  "추출시간": "2024-07-24 14:26:22.116"
}

🎯 Use Cases

• Build article datasets with titles, sources, authors, dates, and URLs.
• Monitor coverage of selected topics or publishers over time.
• Compare publication patterns across searches or categories.
• Export structured content records for research or downstream analysis.

🐙 Why Octoparse

• Ready-to-use NAVER workflow: Enter keyword（up to20), run Naver Cafe SERP Scraper, and review the structured rows returned for each source record.
• Useful results: The returned 검색키워드, 제목, 제목링크 URL, 내용, 작성자, 작성자링크 URL, 게시시간, 이미지, and 추출시간 fields support comparison, monitoring, and reusable data workflows.
• Local runs: Run this template locally with the Octoparse desktop app.
• Export and reuse: Export the rows to CSV, Excel, JSON, databases, or cloud storage, or send them to reporting and AI workflows through Octoparse APIs.

You can schedule recurring runs, export the collected data, and reuse it through Octoparse OpenAPI or the AgentTools API. Scheduling and API access may require a paid Octoparse plan.

📝 Input

• keyword（up to20) (required): Enter one or more values, one per line.

🚀 How to Use

1. Open the template and select Try it or Start.
2. Complete the input fields listed above.
3. Run the task locally.
4. Review the output rows and export or process the structured data.

⚠️ Limitations

• Naver Cafe SERP Scraper runs locally, so keep your computer and Octoparse open while the task is running.
• Fields such as 게시시간, 이미지, and 추출시간 can be empty when the source record does not provide them.

💡 Tips

• Start with one or a few inputs and review the returned rows before scaling the task.
• Use the most specific valid keyword（up to20) to reduce unrelated or duplicate records.
• Use a stable URL or identifier from 검색키워드, 제목, 제목링크 URL, 내용, 작성자, 작성자링크 URL, 게시시간, 이미지, and 추출시간 as the deduplication key when available.

❓ FAQ

Does Naver Cafe SERP Scraper collect complete detail-page data?

No. It collects the listing or search-result fields shown in Output; use a detail-page template when deeper record data is required.

Can I schedule and export data collected by Naver Cafe SERP Scraper?

Yes. You can schedule Naver Cafe SERP Scraper as a local run and export the collected data from Octoparse. Keep your computer and Octoparse open during scheduled local runs. Scheduling may require a paid Octoparse plan.

How much does Naver Cafe SERP Scraper cost?

This template is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.

🔗 Related Templates

• Naver Blog Content Scraper - Use Naver Blog Content Scraper with url values from this template for the next collection step.
• Naver Shopping/Smart Store Scraper - Use Naver Shopping/Smart Store Scraper when you need listing data instead of this template's search results data on the same source.