네이버 검색 스크래퍼 | Naver Search Scraper | AI 브리핑 포함 (2026)

네이버 쇼핑·리뷰·플레이스와 쿠팡 수집기를 만드는 Zen Studio가 제공합니다.
From Zen Studio, creators of Naver Shopping, Naver Reviews and the Coupang suite. The studio behind the #1-ranked 1688 scraper on Apify, used by 1,800+ users.

선택 이유 / Why choose this actor?

AI 답변과 인용 출처를 함께. / AI answers with their cited sources.
네이버가 생성한 AI 브리핑과 인용 링크를 함께 수집합니다.
Export Naver’s own AI Briefing with its cited sources. Analyse the answer and trace which pages Naver references.

검색 결과까지 한 번에. / Search results in the same run.
웹문서, 뉴스, 블로그, 카페, 지식iN, 동영상 등 결과를 유형별로 구분합니다.
Collect web results, news, blogs, cafes, Knowledge iN answers, videos and more. Labelled result types and advertising flags make the output easier to analyse.

검색어를 이해하는 방식까지. / Naver’s interpretation of your query.
제공되는 경우 주제 분류, 확신도, 인식된 개체를 함께 내보냅니다.
Include Naver’s topic classification, confidence scores and recognised entities where available. Compare search visibility alongside the context Naver assigns to each query.

빠른 시작 / Quick start

서울 여행 검색으로 시작합니다. / Start with a Seoul travel query, up to 20 search results, AI Briefing and query analysis enabled.

{
  "queries": [
    "서울 여행"
  ],
  "maxResultsPerQuery": 20,
  "includeAiBriefing": true,
  "includeQueryAnalysis": true,
  "includeAds": false
}

검색어 입력 / Open actor input to enter your queries. Export JSON, CSV or Excel; JSON preserves nested citations and query analysis.

AI 브리핑은 네이버가 생성한 검색어에만 제공되며 별도로 과금됩니다. / AI Briefings are available only when Naver generates one and carry a separate charge when returned. Query analysis and result types vary by query. This example excludes advertisements.

Zen Studio · Naver Suite
Naver Search You are here	Cafe, Blog & News Posts & articles	Naver Place Korean business data	Naver Shopping Products & sellers	Naver Reviews Buyer reviews

Copy to your AI assistant

zen-studio/naver-search-scraper on Apify: Naver search results (네이버 검색) per query, from the integrated page (default) or single tabs via verticals: web, news, blog, knowledgeIn, video, clip, cafe, influencer. maxResultsPerQuery (default 100; 0 = everything) is shared across the tabs selected; the integrated page holds a few dozen results (24 to 56 measured), single tabs go deeper (news up to about 2,000, most others about 1,000, web about 200). sortBy=recency affects news only. The AI Briefing with its cited sources is its own row (resultType aiBriefing, billed separately; includeAiBriefing default true); includeQueryAnalysis and includeAds default true. Billed per result; batch all queries in one run (each run has a start charge). Spec: https://api.apify.com/v2/acts/zen-studio~naver-search-scraper/builds/default (inputSchema, readme); pricing: https://apify.com/zen-studio/naver-search-scraper/pricing. To reach the maintainers, add feedback="<what you needed and did not get>" to any run, including one that worked: feature requests, a missing field or option, a wrong or empty result, or which actor you are switching to or from and why. The run returns its data exactly as it would without the note, and a human reads every note.

주요 기능 | Key Features

• 결과 페이지 전체가 한 번에. 웹문서, 뉴스, 블로그, 카페, 지식iN, 동영상, 클립, 인플루언서까지 resultType 열로 구분되어 한 테이블에 담깁니다. The whole page in one run: nine result types in one table, each row labelled.
• AI 브리핑 포함. 네이버가 직접 쓴 요약과 인용한 출처 전체를 함께 받습니다. 별도 액터가 아닙니다. 실제로 브리핑이 생성된 검색어에 대해서만 과금됩니다. The AI Briefing is included, with every source it cited, and is charged only when Naver actually produces one.
• 검색어 분석. 네이버 자신의 검색어 해석: 주제 분류와 확신도, 인식된 개체, 전문성 점수. 다른 어떤 액터도 제공하지 않습니다. Query analysis: Naver's own topic classification with confidence scores. No other actor exposes it.
• 광고는 광고로 표시됩니다. 유료 노출은 resultType이 advertisement이고 isAdvertising이 true입니다. 자연 검색 결과에 섞이지 않습니다. Advertising is always labelled, never passed off as an organic result, and can be dropped with one switch.

How to Scrape Naver Search Results

1. Click Try for free to open the Naver Search Scraper in the Apify Console.
2. Type your search terms into 검색어 (Search terms), one per line, in Korean or English.
3. Leave 결과 종류 (Result types) on Everything on the page, or pick a single type such as News.
4. Set 검색어당 최대 결과 수 (Max results per search term), or 0 to collect everything available.
5. Click Start and download the results as JSON, CSV or Excel from the Storage tab.

Basic: one search term, the whole page

{
    "queries": ["강남 맛집"]
}

Track the AI Briefing for a set of terms

{
    "queries": ["코로나 증상", "전세 사기", "이혼 절차"],
    "maxResultsPerQuery": 10,
    "includeAiBriefing": true
}

News only, newest first

{
    "queries": ["삼성전자"],
    "verticals": ["news"],
    "sortBy": "recency",
    "maxResultsPerQuery": 500
}

Organic results only, no advertising

{
    "queries": ["제주도 여행"],
    "includeAds": false,
    "maxResultsPerQuery": 200
}

Input Parameters

Parameter	Type	Default	Description
queries	array	required	Search terms, Korean or English, one per line
verticals	array	["integrated"]	Which result types to collect. integrated returns everything on the page
maxResultsPerQuery	integer	100	Results per search term, shared across the result types you select. 0 collects everything available
sortBy	string	relevance	relevance or recency. Only News honours newest-first
includeAiBriefing	boolean	true	Naver's AI answer with its cited sources, as its own row
includeQueryAnalysis	boolean	true	Naver's topic classification of your search term
includeAds	boolean	true	Keep paid placements, always labelled, or drop them

Result types

verticals value	What it returns	Depth per search term
integrated	Everything on the page, a few dozen results	One page
web	Web pages only	130 to 220
news	News articles	600 to 2,000
blog	Naver Blog posts	750 to 1,000
cafe	Naver Cafe posts	about 1,000
knowledgeIn	지식iN questions and answers	850 to 950
video	Video results	750 to 1,000
clip	Naver Clip short-form video	up to 1,000
influencer	인플루언서 posts	up to 500

Depth is how far Naver itself goes for one search term, measured on six common terms in October 2026. A narrow term can have fewer results than this; the Actor collects until Naver has no more.

What Data Can You Extract from Naver Search?

Every result row carries:

• Identity: the search term, the result type, the title with and without Naver's highlight markup, and the link
• Content: the snippet Naver shows, the author with their profile link, the thumbnail, the publication date
• Cafe posts: the cafe's name and address, and the comment previews Naver shows under the post
• 인플루언서 posts: the creator's fan count, their category labels and profile highlights, and the post's image count
• Media: for video and clips, the view count as a number, the clip's own media URL, and whether the creator is verified; for videos, the length in whole seconds (playDuration, 388 is 6:28)
• 지식iN credentials: whether the answer came from a verified expert, with their credential and speciality (의사 / 이비인후과)
• Labelling: whether the row is advertising, and whether this search term produced an AI Briefing

Output Example: one search result

Every result type shares this key set, and a field a type does not carry is null on its rows. Where one item lacks a key that others of its kind carry, the value shown comes from another real item of the same kind, so every key appears.

{
  "query": "고혈압 낮추는 법",
  "vertical": "integrated",
  "resultType": "clip",
  "title": "여의도 고혈압 낮추는 법",
  "titleHighlighted": "여의도 <mark>고혈압 낮추는 법</mark>",
  "url": "https://m.naver.com/shorts/?mediaType=VOD&recId=%7B%22query%22%3A%22%EA%B3%A0%ED%98%88%EC%95%95+%EB%82%AE%EC%B6%94%EB%8A … ediaId=6DDDA5F561DBD1826BAD2FE55E37305A3306&serviceType=CLIP",
  "description": "여의도 고혈압 낮추는 법",
  "author": "여의도역 교통사고한의원 추나 한의원",
  "authorUrl": "https://clip.naver.com/@instamng",
  "thumbnailUrl": "https://search.pstatic.net/common/?src=https%3A%2F%2Fclip-service-phinf.pstatic.net%2FMjAyNjEwMDZfMjY2%2FMDAxNzkxMjIzODY … jZY8Tvo18sWAg.JPEG%2FPF3RuP2tkV_01.jpg&type=f292_487_clip_lb",
  "publishedAtText": "2일 전",
  "viewCount": 36,
  "viewCountText": "조회 36",
  "playDuration": 155,
  "videoUrl": "https://a02-g-smp-vod.akamaized.net/clip-home/c/read/v2/VOD_ALPHA/clip-home/6DDDA5F561DBD1826BAD2FE55E37305A3306/trailer … 269b8f17099fe20d5d9b30b9f7d042524d1fad7bd974c447a0ddaafea713",
  "imageCount": 16,
  "authorBadge": "별신",
  "authorCategory": "IT테크 전문블로거, 휴대용 제품 전문",
  "authorFollowers": 3712,
  "authorFollowersText": "3,712",
  "authorHighlights": [
    "블로그 이웃 5,000+",
    "선호 브랜드 프리미엄 브랜드 선호"
  ],
  "commentPreviews": [
    "저는 17일반 배터리성능 92에서 하루에 3번충전하는거 짜증나서 바로 18프맥으로왔는데 배터리 괜찮나요??",
    "16 프로와 17 일반 고민 중에 16 프로 구매했는데 카메라는 안 불편하셨나요?? 저는 망원을 자주 써서"
  ],
  "isVerifiedAuthor": false,
  "isExpertAnswer": false,
  "isAdvertising": false,
  "resultId": "014.0005577202",
  "hasAiBriefing": true,
  "queryAnalysis": {
    "query": "고혈압 낮추는 법",
    "topics": [
      {
        "name": "health",
        "score": 0.9999
      }
    ],
    "topTopic": "health",
    "topTopicScore": 0.9999,
    "authorityScore": 0.000147,
    "credibilityScore": 0.00029,
    "expertiseScore": 0.927966,
    "entities": [
      {
        "text": "고혈압",
        "type": "Disease"
      }
    ],
    "namedEntityPattern": "[Disease] 낮추는 법",
    "searchIntent": null,
    "termCount": 3,
    "isForeignQuery": false
  }
}

Output Example: the AI Briefing row

{
  "query": "파이썬 리스트 정렬",
  "template": "prs_template_aib_answer_desk",
  "summary": "파이썬에서 리스트를 정렬하는 방법은 크게 원본을 직접 수정하는 sort() 메서드와 정렬된 새 리스트를 반환하는 sorted() 함수로 나뉩니다. [1] [2]\n\n### 정렬 방식 비교\n| 구분 | sort() |  … 6.10.08\n실험 단계로 정확하지 않을 수 있어요.\nAI 답변으로 정확하지 않은 정보가 포함될 수 있어요.",
  "summaryMarkdown": "파이썬에서 리스트를 정렬하는 방법은 크게 원본을 직접 수정하는 sort() 메서드와 정렬된 새 리스트를 반환하는 sorted() 함수로 나뉩니다.<template data-fender-markdown-id=\"sour … ype=\"general\" data-text=\"포도알\" data-list=\"[2, 6]\"></template>",
  "summaryChars": 1360,
  "sources": [
    {
      "title": "[코드트리 조별과제] 파이썬, 조건대로 정렬하고 싶다면? - 정렬 총 정리",
      "url": "https://velog.io/@dan1626/%EC%BD%94%EB%93%9C%ED%8A%B8%EB%A6%AC-%EC%A1%B0%EB%B3%84%EA%B3%BC%EC%A0%9C-%EC%9B%90%ED%95%98%E … 1%9C-%EC%A0%95%EB%A0%AC%ED%95%98%EA%B3%A0-%EC%8B%B6%EB%8B%A4",
      "publisher": "velog",
      "snippet": "이번 포스트에선 기본적인 정렬함수와 사용방법, 그리고 특정 조건 하에 리스트를 정렬하는 방법을 정리해보겠습니다. 1. .sort() 함수 .sort(key=<functi",
      "isOfficial": false,
      "publishedAt": "2024-07-28T00:00:00+09:00"
    },
    {
      "title": "파이썬 리스트(List) 심화 ③ 검색, 정렬 완벽 정리",
      "url": "https://blog.naver.com/math717/224367868384",
      "publisher": "네이버 블로그",
      "snippet": "8) 최종 정리 리스트 검색은 데이터를 찾거나 개수를 확인할 때 사용한다. index()는 위치를, count()는 개수를 반환하며, 시작 위치와 범위를 지정해 세밀한 검색도 가능",
      "isOfficial": false,
      "publishedAt": "2026-08-04T15:28:00+09:00"
    }
  ],
  "sourceCount": 7,
  "images": [
    {
      "title": "[코드트리 조별과제] 파이썬, 조건대로 정렬하고 싶다면? - 정렬 총 정리",
      "url": "https://velog.io/@dan1626/%EC%BD%94%EB%93%9C%ED%8A%B8%EB%A6%AC-%EC%A1%B0%EB%B3%84%EA%B3%BC%EC%A0%9C-%EC%9B%90%ED%95%98%E … 1%9C-%EC%A0%95%EB%A0%AC%ED%95%98%EA%B3%A0-%EC%8B%B6%EB%8B%A4",
      "thumbnailUrl": "https://velog.velcdn.com/images/dan1626/post/717b3011-1650-4d18-88cc-d62ed5f41d4f/image.png",
      "publisher": "velog"
    },
    {
      "title": "파이썬 리스트(List) 심화 ③ 검색, 정렬 완벽 정리",
      "url": "https://blog.naver.com/math717/224367868384",
      "thumbnailUrl": "http://blogfiles.naver.net/MjAyNjA4MDRfMTg1/MDAxNzg1ODIyMTk1NTI0.oMnT8Xf0gheO8YWPSHVBmTr_OG9WY8tN-mzbIsWWDN4g.E0-8MPJRH4tMMcNier2AvPMHlLGA-bgbYgsYWNb5bbkg.PNG/image.png#111x48",
      "publisher": "네이버 블로그"
    }
  ],
  "resultType": "aiBriefing",
  "queryAnalysis": {
    "query": "파이썬 리스트 정렬",
    "topics": [
      {
        "name": "infotechnology",
        "score": 0.9997
      }
    ],
    "topTopic": "infotechnology",
    "topTopicScore": 0.9997,
    "authorityScore": 0.000415,
    "credibilityScore": 0.006125,
    "expertiseScore": 0.916783,
    "entities": [
      {
        "text": "파이썬",
        "type": "Software"
      }
    ],
    "namedEntityPattern": "[Software] 리스트 정렬",
    "searchIntent": null,
    "termCount": 3,
    "isForeignQuery": false
  }
}

Advanced Usage

Ready-made configurations for Korean SEO rank tracking, AI Briefing (AEO) monitoring, brand mention tracking across communities, and keyword topic research.

Daily Korean SEO rank tracking

{
    "queries": ["강남 맛집", "제주도 여행", "전세 사기"],
    "verticals": ["integrated"],
    "maxResultsPerQuery": 50,
    "includeAds": true
}

Schedule it daily and compare title plus url per query between runs to see what moved.

AI Briefing (AEO) monitoring

{
    "queries": ["코로나 증상", "이혼 절차", "전세 사기", "라면 끓이는 법"],
    "maxResultsPerQuery": 1,
    "includeAiBriefing": true
}

maxResultsPerQuery: 1 keeps the result rows to a minimum while still collecting the briefing, so you pay one result row per term plus the briefings that actually arrive. Naver writes one for roughly 4 terms in 10, so 100 terms costs about 100 result rows and about 40 briefings. Filter on resultType = aiBriefing and read sources to see which domains Naver cites.

Brand mentions across Korean communities

{
    "queries": ["브랜드명"],
    "verticals": ["blog", "cafe", "knowledgeIn"],
    "maxResultsPerQuery": 500,
    "sortBy": "relevance"
}

Keyword topic research

{
    "queries": ["강남 맛집", "제주도 여행", "삼성전자"],
    "maxResultsPerQuery": 1,
    "includeQueryAnalysis": true
}

How much does it cost to scrape Naver Search?

$2.99 per 1,000 results. The AI Briefing is charged at the same rate, and only when Naver actually produces one.

Event	Per 1,000
Search result	$2.99
AI Briefing	$2.99

Volume discounts apply automatically on paid Apify plans.

Integrations and scheduling

The dataset exports to Google Sheets, Excel, CSV and JSON from the run's Storage tab, and connects to Make, Zapier, n8n or your own webhook through Apify's integrations.

Rank tracking and AEO monitoring are the two recurring jobs here. Once a day is the right frequency for both: Naver's ranking and its AI Briefings change on a daily rhythm, and anything more often mostly re-collects the same rows.

New to scheduling on Apify:

FAQ

What is Naver (네이버), and why does it need its own scraper? Naver is South Korea's dominant search engine and web portal, holding a larger share of Korean search than Google. It is not a Google clone: a Naver results page is assembled from blocks, so one search returns web documents, news, blog posts, community (cafe) threads, 지식iN answers, video and short-form clips together, plus an AI-written briefing on some topics. A Google-shaped scraper reads none of that structure.

Does this include the AI Briefing, or is that a separate actor? It is included. You get the full answer text, every source Naver cited with its publisher, whether that source is an official one, and the images it pulled in. The briefing arrives as its own dataset row with resultType set to aiBriefing, and it is charged at the same $2.99 per 1,000 as any other result.

How often does Naver show an AI Briefing? On a deliberately mixed set of 12 search terms, 5 produced one, and 4 of 8 on a later platform run. It is topic-gated rather than universal: health, legal, how-to and definition questions trigger it far more often than product, person or place searches. You are only charged for briefings that actually arrive, so a term that never triggers one costs you nothing extra.

What is query analysis and what can I do with it? It is Naver's own reading of your search term: the topic it assigns with a confidence score, the entities it recognised and their types, the search intent it matched, and its authority, credibility and expertise scores for the topic. It tells you how Naver has classified a keyword before you spend anything on ranking for it. It is available for roughly one search term in four and costs nothing extra.

Can I collect only news, or only blogs? Yes. Set verticals to any combination of the nine result types. A single type is a smaller and faster page than the whole results page, and goes far deeper: news reaches up to about 2,000 results for one search term where the whole page returns about 50.

Do I need a Naver account? No. The Actor reads publicly visible search results.

How do I export the data? JSON, CSV, Excel, XML or HTML from the run's Storage tab, or through the Apify API. JSON preserves the nested fields best: the AI Briefing's sources and images are arrays of objects, and queryAnalysis is a nested object, so CSV flattens them.

Are advertisements included, and how do I tell them apart? Naver mixes paid placements into its results. Every one of them is typed advertisement and flagged with isAdvertising, so they are never passed off as organic. Set includeAds to false to drop them entirely.

How deep can I go for one search term? It depends on the result type and the term: up to about 2,000 for news, about 1,000 for blog, cafe, video, clips and 지식iN, 500 for 인플루언서, and 130 to 220 for web. The whole results page is a single page of a few dozen results (24 to 56 measured) by design, because the blocks on it are what the page has. The table under Result types lists the measured ranges.

Can I get the full text of a blog post, cafe post or news article? Not from this Actor, which returns search results with the snippet Naver shows. For the full body plus comment threads, use the Naver Cafe, Blog & News Scraper: feed it the same search term, or the url from a blog, cafe or news row here.

Can I get business details, reviews or opening hours for a place? Not here. Use the Naver Place Scraper for local business data, ratings and reviews.

Can I get product prices and specs? Not here. Use the Naver Shopping Scraper for keyword and category search, and the Naver Shopping Product Detail Scraper for specs, sellers and price history.

Does Naver have an official API, and why use this instead? Naver publishes an open API for developers, but it needs a registered client ID and secret, applies a per-app daily call quota, and returns flat result lists only: no AI Briefing, no 지식iN answers with their expert credentials, no clips, no advertising labels, and no query analysis. This Actor needs no registration and returns the page as Naver actually assembles it.

Something looks wrong or a search term returns nothing. What do I do? Check the run log first: it names the search term it was working on. A term with genuinely no Naver results returns zero rows and says so. Anything else, open the Issues tab on this Actor with your run ID and the input you used.

Is it legal to scrape Naver search results? This Actor collects only publicly available data, nothing behind a login. You remain responsible for complying with Naver's terms of service and with data protection law that applies to you, including GDPR, CCPA and Korea's PIPA. Author names, 지식iN answerer names and creator handles are personal data under those regimes; treat them accordingly.

How fresh is the data? Every run fetches live results at the moment it runs. Nothing is cached or served from a store.

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• JD.com 京东
  • JD.com Search Scraper
• 1688 阿里巴巴
  • 1688 Wholesale Scraper
  • Alibaba Scraper
  • 1688 Reviews Scraper
• Weidian 微店
  • Weidian Scraper
• Goofish 闲鱼
  • Goofish (Xianyu) Search Scraper
  • Goofish (Xianyu) Seller Scraper
  • Goofish (Xianyu) Item Detail Scraper
  • Goofish (Xianyu) Item Comments & Q&A Scraper
  • Goofish (Xianyu) Reverse Image Search Scraper
• Dewu 得物
  • Dewu POIZON Scraper

🎬 Short-video & social

• Douban 豆瓣
  • Douban Scraper
  • Douban Reviews Scraper
  • Douban Group Scraper
• Zhihu 知乎
  • Zhihu Scraper
• Weibo 微博
  • Weibo Search Scraper
  • Weibo Comments Scraper
• Kwai (Brazil)
  • Kwai Search Scraper
  • Kwai Comments Scraper
• Kuaishou 快手
  • Kuaishou Scraper
• Douyin 抖音
  • Douyin Search Scraper
  • Douyin Profile Scraper
  • Douyin Video Scraper
  • Douyin Comments Scraper
  • Douyin Transcripts Scraper
  • Douyin Creator Rankings Scraper
  • Douyin Live Recorder
  • Douyin Hot Search Scraper
  • Douyin Product Search Scraper
  • Douyin User Search Scraper
• RedNote 小红书
  • RedNote User Profile Scraper
  • RedNote Search Scraper
  • RedNote Comments Scraper
  • RedNote Product Search Scraper
  • RedNote Note Detail Scraper
  • RedNote Product Reviews Scraper
  • RedNote Live Recorder
• Xigua 西瓜视频
  • Xigua Video Search Scraper
  • Xigua Video Detail Scraper
• Bilibili 哔哩哔哩
  • Bilibili Video Scraper
  • Bilibili Danmaku Scraper

🏠 Real estate & autos

• Naver 부동산
  • Naver Real Estate Scraper
• Anjuke 安居客
  • Anjuke For-Sale Listings Scraper
  • Anjuke New-Home Scraper
  • Anjuke Rental Listings Scraper
  • Anjuke Listing Detail Scraper
• 58.com 58同城
  • 58.com Real Estate Scraper
• Autohome 汽车之家
  • Autohome (Che168) Used-Car Scraper

Support

• Bugs: Issues tab
• Features: Issues tab

Legal Compliance

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