Naver Scraper — All-in-One Naver API for Map, Shopping, Blog, Cafe, News & More (네이버 크롤러)

Naver Scraper collects data from every public service of Naver, South Korea's largest search portal, in one actor: Naver Map places with reviews, Naver Shopping products with sellers and reviews, Blog, Cafe, News with comments, Knowledge iN (지식iN), the integrated search page, images, videos, real estate (네이버 부동산), webtoons, stocks and DataLab shopping trends. Paste keywords in Korean or English, IDs, or any Naver link and get clean JSON, CSV or Excel. Results start from $1 per 1,000 — no Naver login, no API key, no code and no proxies to set up.

Raven · ASIA & LOCAL DATA   •  Naver · Google Maps · RedNote · TikTok Shop
Naver All-in-One ➤ You are here	Google Maps Places, reviews, emails	RedNote 小红书 Notes, profiles, comments	TikTok Shop Products, sales, reviews

🔎 What does this Naver Scraper do?

It works as an unofficial Naver API for 18 data sources. Naver's own Open API needs a registered app, a client ID and secret, has a daily call quota and returns only short search snippets — no reviews, no menus, no comments, no seller data. This actor reads the same public pages a visitor in Korea sees and returns structured rows.

Mode (scrapeType)	What you get	One row per
places — Naver Map / Place (네이버 지도·플레이스)	Name, category, address, phone, coordinates, rating, review counts, booking / delivery flags; with details: opening hours, menu with prices, popular menu items, hourly busyness, review keywords, amenities, transit, blog reviews, photos, visitor reviews	place
shopping — Naver Shopping / Plus Store (네이버쇼핑)	Price, discount, rating, reviews, stock, seller, delivery, category path; with details: brand, manufacturer, seller company and history; buyer reviews	product
blog (블로그)	Title, link, snippet, blogger, date, images; with details: full post text, tags, all images, comment count	post
cafe (카페)	Title, cafe name, snippet, date; with details: full article, views, comments with authors	article
news (뉴스)	Headline, press, time, Naver News link, clustered related articles; with details: full article text, reporters, section, comments	article
kin — Knowledge iN (지식iN)	Question, best-answer excerpt, expert badge; with details: full question and every answer	question
serp — integrated search (통합검색)	Every block of the results page in order: place, shopping, news, ads, images, clips… with their items and related searches	search term
web, images, videos	Web documents, images (original URL, size), videos and short clips (platform, author, views, duration)	result
autocomplete (자동완성)	Naver's suggestions for a keyword	keyword
shoppingBest — Naver Shopping BEST	Daily / weekly best-selling and most-viewed products, trending keywords, popular brands	ranked item
shoppingInsights — DataLab Shopping Insight (쇼핑인사이트)	Top 500 keywords of a category; click trend of any keyword with gender, age and device split	keyword
realEstate — Naver Real Estate (네이버 부동산)	Every listing of a complex: sale / jeonse / monthly rent price, area, floor, direction, broker, verification; complex facts	listing
webtoons (네이버 웹툰)	Weekday, new and completed series, keyword search; synopsis, creators, genres, subscribers, episodes	webtoon
stocks (네이버 증권)	Korean and US tickers: price, change, market cap, PER, PBR, dividend, 52-week range, analyst target, investor flows, reports, peers, price history	stock
blogPosts	Every post of a blog with likes, comments, shares, plus blog subscribers and visitors	post
urls	Any Naver link — detected and routed to the right parser automatically	link

✅ Why use this Naver scraper?

• 🧩 One actor instead of ten. Map, Shopping, Blog, Cafe, News, Knowledge iN, SERP, real estate, webtoons, stocks and DataLab share one input and one pricing table.
• 🔗 Any Naver link works in any mode — map.naver.com, m.place.naver.com, naver.me short links, smartstore / brand.naver.com products, n.news, m.blog, cafe.naver.com, kin.naver.com, land.naver.com, comic.naver.com, finance.naver.com.
• 🗺️ 60+ fields per place with Full details, including data almost no other scraper returns: hourly busyness per weekday, most-ordered menu items with order share, average spend by time of day, review keyword votes and transit.
• 🛒 50+ fields per product with Full details, and buyer reviews for any Smart Store or Brand Store product.
• 💬 Comments and reviews nested inside their parent row — 20 places stay 20 rows, even with 2,000 reviews attached.
• 📈 Deep content search: after Naver's best matches run out, the crawl continues with the newest posts automatically, so large limits keep returning fresh, de-duplicated results.
• ⚡ Live API (Standby): call GET /places?q=강남 맛집 and get the rows in the HTTP response — no run to poll.
• 💸 You pay only for what comes back. Full-details and review charges apply only when the data was actually fetched.

	Naver Open API	Typical Naver scrapers	This actor
Services	Search snippets only	Usually one service per actor	18 modes in one actor
Setup	App registration, client ID / secret	Varies	None
Place reviews, menus, hours	❌	Some	✅ plus popular times & menu ranking
Shopping sellers & reviews	❌	Separate actors	✅
Cafe & news comments	❌	Rare	✅
Real estate, webtoons, stocks, DataLab	❌	Separate actors	✅
Any Naver URL as input	❌	Partial	✅
Live HTTP API	✅	❌	✅

📦 What data can you extract from Naver?

Places — id, name, category, address, roadAddress, phone, latitude, longitude, rating, visitorReviewCount, blogReviewCount, openStatus, hasBooking, bookingUrl, hasNaverPay, offersDelivery, offersTakeout … With Full details: description, openingHours (day, hours, break time, last order), menu (name, price, description, image), popularMenus, averageSpend, popularTimes (24 hourly values per weekday), reviewKeywords, reviewThemes, reviewMenuMentions, facilities, conveniences, paymentMethods, parking, keywords, website, socialLinks, subwayStations, busStops, blogReviews. With reviews: rating, text, author, visit date, verification (receipt / booking), ordered item, keywords, photos, owner reply.

Products — title, price, originalPrice, discountPercent, rating, reviewCount, reviewCount6Months, stockQuantity, sellerName, sellerUrl, sellerGrade, isBrandStore, deliveryFee, freeDelivery, fastDelivery, categoryPath, catalogId, images … With Full details: brand, manufacturer, pointsEarned, courier, sellerCompany, sellerRepresentative, sellerSalesCount, sellerStoreAge. With reviews: rating, text, date, option bought, photos, repurchase flag, helpful votes.

Blog / Cafe / News / Knowledge iN — title, link, snippet, author / press, date, thumbnails. With Full details: full text, images, tags, view and comment counts, and for Knowledge iN every answer with author badges.

Real-estate listings — complexName, propertyType, tradeType (매매 / 전세 / 월세), price, deposit, monthlyRent, managementFee, supplyAreaM2, exclusiveAreaM2, floor, totalFloors, direction, verification, listedAt, brokerage, sameListingCount, completionDate, coordinates. With Full details: households, buildings, builder, floor-area ratio, parking per household.

Stocks — price, change, marketCap, per, pbr, eps, dividendYield, week52High, week52Low, analystTargetPrice, investorFlows, analystReports, peers, and with Full details a daily OHLCV priceHistory.

🚀 How to scrape Naver step by step

1. Open the actor and click Try for free — new Apify accounts get monthly free credits.
2. Pick What to scrape, e.g. Naver Map / Places.
3. Type your Queries: keywords (강남 맛집, 에어팟), IDs or Naver links — one per line.
4. Set Max results per query and, if you need them, turn on Full details, reviews or comments.
5. Click Start. Rows appear in the Output tab within seconds; export to JSON, CSV, Excel or HTML, or read them through the API.

🗺️ How to get more than 300 places from Naver Map?

Naver Map stops at about 300 places per search term. Turn on Deep area search and the actor cuts the area into smaller map squares until each square holds fewer than 300 places, then collects all of them and removes duplicates. 홍대 카페 returns over 1,200 cafés instead of 300. The area comes from where the keyword's first results are, or from latitude / longitude plus Search radius (km) — e.g. every 카페 within 2 km of a point.

📰 How to scrape thousands of Naver blog, cafe and news posts?

Set Max results per query as high as you need. The actor first collects Naver's best matches, and once those run out it continues with the newest posts for the same keyword, skipping everything already collected. Combine it with Published within or a custom date range to scope a period.

🔗 Which Naver links can I paste?

Service	Example
Map / Place	https://map.naver.com/p/entry/place/2097258400, https://m.place.naver.com/restaurant/2097258400/home, naver.me/...
Smart Store / Brand Store	https://smartstore.naver.com/<store>/products/<id>, https://brand.naver.com/<brand>/products/<id>
Blog	https://blog.naver.com/<id>/<logNo>, https://m.blog.naver.com/PostView.naver?blogId=...&logNo=..., a blog home for all posts
Cafe	https://cafe.naver.com/<cafe>/<articleId>, https://cafe.naver.com/ca-fe/cafes/<id>/articles/<articleId>, links from search results
News	https://n.news.naver.com/mnews/article/<office>/<id>, m.entertain and m.sports articles
Knowledge iN	https://kin.naver.com/qna/detail.naver?dirId=...&docId=...
Real estate	https://fin.land.naver.com/complexes/8928, https://new.land.naver.com/complexes/8928
Webtoon / Stock	https://comic.naver.com/webtoon/list?titleId=747269, https://finance.naver.com/item/main.naver?code=005930
Search pages	https://search.naver.com/search.naver?query=... (desktop and mobile, any tab)

⚡ Live Naver API (Standby mode)

The same actor answers HTTP requests directly — no dataset to fetch. Every input field is a query parameter; shorthand paths exist for each mode.

curl "https://pro100chok--naver-all-in-one-scraper.apify.actor/places?q=강남 맛집&limit=5&details=true" \
  -H "Authorization: Bearer <APIFY_TOKEN>"

Route	What it does
GET /search?scrapeType=...&q=...	Any mode; parameters mirror the input schema (limit, details, reviews, comments, sortBy, …)
GET /places, /shopping, /blog, /news, /urls?url=...	Shorthand for the matching scrapeType
POST /search	A full actor input as the JSON body
GET /openapi.json	OpenAPI 3 specification

Each request returns up to 500 results per query and 10 queries, within 270 seconds. It is billed with the same events as a normal run.

⚙️ Input parameters

Parameter	Type	Description
scrapeType	enum	Which Naver service to scrape (see the table above). Default places.
queries	array	Keywords, IDs or Naver links. Optional for shoppingBest, shoppingInsights, webtoons.
maxItems	integer	Max results per query (default 1,000).
sortBy	enum	relevance / date / oldest for content searches.
period, dateFrom, dateTo	enum / date	Publication window for content searches.
includeAds	boolean	Keep sponsored blog results (flagged isAd).
includeDetails	boolean	Open each result for its full data (billed as details).
includeComments, maxComments	boolean / integer	Cafe and news comments; Knowledge iN answers limit.
includeReviews, maxReviews, reviewSort	boolean / integer / enum	Place and product reviews.
includePhotos, maxPhotos	boolean / integer	Place photo URLs.
shoppingSort, minPrice, maxPrice	enum / integer	Product sort (REL, PURCHASE, REVIEW, LOW_PRICE, HIGH_PRICE, RECENT) and price band.
bestRanking, bestPeriod, bestCategory	enum	Shopping BEST chart, period and category.
latitude, longitude	string	Search Naver Map around a point.
deepSearch, searchRadiusKm	boolean / integer	Go past Naver Map's 300-place cap by sweeping the area square by square.
language	enum	ko (default) or en — English place names where Naver has them.
tradeTypes, realEstateSort	array / enum	Real-estate deal types and listing order.
webtoonDay, includeEpisodes, maxEpisodes	enum / boolean / integer	Webtoon catalogue and episode lists.
insightCategory, timeUnit, startDate, endDate, device, gender, ages	various	DataLab Shopping Insight filters.
maxConcurrency, maxRetries	integer	Performance tuning; defaults suit almost every run.

🧪 Ready-to-paste input recipes

Every café in Hongdae (beyond Naver's 300-place cap)

{ "scrapeType": "places", "queries": ["홍대 카페"], "maxItems": 5000, "deepSearch": true }

Restaurants in Gangnam with menu, hours, popular times and 50 reviews each

{ "scrapeType": "places", "queries": ["강남역 맛집"], "maxItems": 50, "includeDetails": true, "includeReviews": true, "maxReviews": 50 }

Best-selling AirPods listings with seller details and buyer reviews

{ "scrapeType": "shopping", "queries": ["에어팟"], "maxItems": 100, "shoppingSort": "PURCHASE", "includeDetails": true, "includeReviews": true, "maxReviews": 30 }

Brand monitoring: every news article about a company this week, with comments

{ "scrapeType": "news", "queries": ["삼성전자"], "maxItems": 500, "sortBy": "date", "period": "1w", "includeDetails": true, "includeComments": true, "maxComments": 100 }

Blog influencer research with full post text

{ "scrapeType": "blog", "queries": ["제주 카페 추천", "부산 호텔 후기"], "maxItems": 200, "includeDetails": true }

Korean SEO: integrated results layout for a keyword list

{ "scrapeType": "serp", "queries": ["다이어트 보조제", "무선 이어폰", "강남 피부과"] }

Apartment sale and jeonse listings in a complex, priciest first

{ "scrapeType": "realEstate", "queries": ["헬리오시티"], "maxItems": 500, "tradeTypes": ["A1", "B1"], "realEstateSort": "PRICE_DESC", "includeDetails": true }

Trending shopping keywords in Beauty for women in their 20s and 30s

{ "scrapeType": "shoppingInsights", "queries": [], "maxItems": 100, "insightCategory": "50000002", "gender": "f", "ages": ["20", "30"] }

📤 Output examples

Naver Map place (Full details, trimmed)

{
  "type": "place",
  "query": "성수 카페",
  "id": "1251057335",
  "name": "비아트 성수",
  "category": "카페,디저트",
  "roadAddress": "서울 성동구 아차산로5길 24-45 2층",
  "phone": "0507-1482-5596",
  "latitude": 37.5471439,
  "longitude": 127.0542613,
  "rating": 4.83,
  "visitorReviewCount": 2653,
  "blogReviewCount": 1347,
  "website": "https://www.instagram.com/be_art_seongsu_",
  "openingHours": [{ "day": "수", "hours": "12:00 - 22:00", "lastOrder": "21:30" }],
  "menu": [{ "name": "티라미수 아포가토", "price": "9,000원", "description": "제누와즈 시트 사이에 마스카포네 크림" }],
  "popularMenus": [{ "name": "아메리카노(I)", "orderShare": 21 }, { "name": "무화과 그릭 크로플", "orderShare": 15 }],
  "popularTimes": [{ "day": "Monday", "busiestHour": 12, "hourly": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 39, 26, 19, 12, 14, 7, 19, 11, 5, 3, 0, 0, 0] }],
  "reviewKeywords": [{ "keyword": "디저트가 맛있어요", "count": 1784 }, { "keyword": "커피가 맛있어요", "count": 1681 }],
  "url": "https://map.naver.com/p/entry/place/1251057335"
}

Naver Shopping product (Full details, trimmed)

{
  "type": "product",
  "query": "에어팟",
  "id": "91298213411",
  "productId": "13753702047",
  "title": "공식 애플 에어팟 5 MKFW4KH/A",
  "price": 199000,
  "discountPercent": 0,
  "currency": "KRW",
  "rating": 4.92,
  "reviewCount": 567,
  "stockQuantity": 1867,
  "sellerName": "애플 공식 브랜드스토어",
  "isBrandStore": true,
  "freeDelivery": true,
  "fastDelivery": "Arrival guarantee",
  "categoryPath": "디지털/가전 > 음향가전 > 이어폰/이어셋 > 무선이어폰/이어셋",
  "brand": "Apple",
  "courier": "CJ대한통운",
  "sellerSalesCount": 34791,
  "sellerStoreAge": "오픈 8년된 스토어",
  "url": "https://brand.naver.com/bluebox00718/products/13753702047"
}

Naver Blog post (Full details, trimmed)

{
  "type": "blog",
  "query": "강남 맛집",
  "title": "신세계 강남 스위트파크 디저트 맛집 총정리",
  "url": "https://blog.naver.com/solsoltravel/224417639039",
  "blogName": "솔솔 여행 꿀팁 맛집",
  "blogId": "solsoltravel",
  "publishedAt": "2026-09-20T12:20:00+09:00",
  "imageCount": 16,
  "category": "강남구 서초구",
  "commentCount": 38,
  "content": "신세계 강남 스위트파크 디저트 맛집 총정리, 새로 생긴 차지부터 삐아프 한정선까지\n신세계 강남 지하 1층에 있는 스위트파크 ...",
  "isAd": false
}

Real-estate listing

{
  "type": "listing",
  "id": "2653877341",
  "complexName": "개포자이",
  "propertyType": "아파트",
  "tradeType": "매매",
  "price": 2900000000,
  "managementFee": 600000,
  "supplyAreaM2": 160.71,
  "exclusiveAreaM2": 134.3,
  "floor": "18",
  "totalFloors": 21,
  "direction": "동향",
  "verification": "Owner-verified",
  "listedAt": "2026-10-07",
  "brokerage": "서울공인중개사사무소",
  "sameListingCount": 6,
  "completionDate": "2004-06-17",
  "district": "강남구",
  "neighborhood": "개포동",
  "url": "https://fin.land.naver.com/articles/2653877341"
}

💰 How much does it cost to scrape Naver?

Pay per event — every price below already includes proxies and platform traffic.

Event	Free plan	Paid plans from	Charged when
Search result	$1.00 / 1,000	$0.70 / 1,000	One blog, cafe, news, Knowledge iN, web, image, video, autocomplete, BEST, DataLab, webtoon, stock or blog-post row
Naver Map place	$1.20 / 1,000	$0.90 / 1,000	One place row
Shopping product	$1.50 / 1,000	$1.00 / 1,000	One product row
Real-estate listing	$1.50 / 1,000	$1.00 / 1,000	One listing row
Full details	$2.50 / 1,000	$1.80 / 1,000	Only when Full details is on and the full page came back
Review or comment	$0.50 / 1,000	$0.35 / 1,000	Each review / comment attached to a row
Integrated search page	$10 / 1,000	$8.50 / 1,000	One full SERP analysed (serp mode)
Actor start	$0.00005	$0.00005	Once per run (per GB of memory)

"Paid plans from" is the Gold-tier price; higher tiers pay less.

Example job	Cost on the free plan
1,000 blog posts (search results)	≈ $1.00
1,000 places, list only	≈ $1.20
100 places with full details and 50 reviews each	≈ $0.12 + $0.25 + $2.50 = $2.87
1,000 products with full details	≈ $1.50 + $2.50 = $4.00
500 news articles with full text and 20 comments each	≈ $0.50 + $1.25 + $5.00 = $6.75
100 integrated search pages	≈ $1.00

Apify's free plan includes $5 of monthly credits — enough for up to 5,000 search results or about 4,000 places every month at no cost.

🔌 Integrations

Connect the results to Google Sheets, Make, Zapier, n8n, Slack, Airtable or any webhook, call the actor from the Apify API (Python and JavaScript clients), and use Schedules for daily price, ranking or review monitoring. Every run's data can be exported to JSON, CSV, Excel, XML or HTML.

🤖 Use with AI agents (MCP)

The actor works with the Apify MCP server, so Claude, ChatGPT, Cursor and other MCP clients can call it as a tool. Example prompt:

"Use the Naver scraper to get the top 20 cafés for 성수 카페 with ratings, popular menu items and their busiest hours, then rank them by review count."

💼 Popular use cases

• Local marketing and lead lists — Korean restaurants, clinics, salons and shops with phone, address, hours and booking links.
• Korean e-commerce research — prices, discounts, sellers, stock and reviews on Naver Shopping; daily BEST charts and DataLab keyword trends.
• Brand and reputation monitoring — news, blog, cafe and Knowledge iN mentions, with comments.
• Korean SEO — how the integrated results page is laid out for each keyword, which blocks and ads appear, autocomplete suggestions.
• Real-estate analysis — asking prices, jeonse and rent levels per complex.
• Market and investor research — stock fundamentals, investor flows and analyst reports next to news sentiment.
• AI and LLM datasets — Korean review, post and Q&A text at scale.

⚖️ Is it legal to scrape Naver?

This actor collects only publicly visible data, the same information anyone sees on Naver without logging in. Reviews, comments, answers and posts can contain personal data such as nicknames, so make sure your use complies with GDPR, Korea's Personal Information Protection Act (PIPA) and other rules that apply to you, and only process personal data with a legitimate reason. If in doubt, consult a lawyer. Read more in Is web scraping legal?. This actor is not affiliated with or endorsed by Naver Corporation.

❓ FAQ

Does Naver have a public API?

Naver's Open API covers short search snippets and requires a registered app with a client ID and secret, plus a daily quota. It does not return place reviews, menus, shopping sellers and reviews, comments, real-estate listings or DataLab rankings. This actor returns all of them without any keys.

Do I need a Naver account, cookies or proxies?

No. Everything is collected without logging in, and proxies are included in the price.

Can I search in Korean and English?

Yes. Korean keywords give the richest results (강남 맛집, 에어팟). Set Result language to English to get English place names where Naver has them.

How many results can I get per keyword?

Naver Map: about 300 per search, or every place in the area with Deep area search. Shopping: up to 10,000 products per keyword and sort order. Blog, cafe and news keep going as long as Naver has posts. Knowledge iN: up to about 3,000 questions per keyword (its own search, three sort orders).

Why did I get fewer results than I asked for?

Naver had no more unique results for that keyword, or several pages in a row returned only repeats and the run stopped to avoid charging you for nothing. Try a broader keyword, another sort order or a wider date range.

Why are some fields missing from a row?

Empty values are left out instead of being written as null. If a place has no menu or a product has no discount, those fields simply do not appear.

Why do some products have no seller details even with Full details on?

Brand Store products always get full details (brand, manufacturer, seller company, sales count, store age). Regular Smart Store product pages are often held behind Naver's login wall; the product row is still delivered with every search field, category path and buyer reviews, and Full details is charged only when the details actually came back.

Can I scrape a Naver cafe article from a link?

Yes, including articles of members-only cafes that Naver shows in its search results: the actor opens them the same way a visitor coming from Naver search does. Articles a cafe keeps out of search entirely cannot be read without a membership.

Can I get Naver place reviews and Smart Store reviews?

Yes. Turn on Include reviews and set Max reviews per place / product. Reviews are attached to their place or product row.

Can I scrape all posts of one Naver blog?

Yes — use the blogPosts mode with a blog ID or blog link. Each post comes with likes, comments and shares, and Full details adds the full text.

Can I schedule daily monitoring?

Yes. Create a task with your input and add a schedule — for example a daily run of shoppingBest or a news search sorted by date.

Can I export Naver data to CSV or Excel?

Yes. Every run's dataset downloads as CSV, Excel, JSON, XML or HTML, and the Output tab has ready-made views for places, products, content, listings, rankings and media.

Will I be charged for queries that return nothing?

No results are billed for an empty query. Only the small actor-start event is charged per run.

Can I call it as an API from my app?

Yes — either start runs through the Apify API, or use the live Standby endpoint (/search, /places, /shopping, …) and get the rows in the response.

💬 Feedback & support

Found a bug or need another Naver field? Open an issue in the Issues tab — include the run link so we can reproduce it.

More scrapers by Raven

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• Yelp Scraper — businesses, reviews and contacts
• TripAdvisor Scraper — hotels, restaurants and reviews
• Trustpilot Scraper — company reviews and ratings
• G2 Scraper — software reviews and ratings

E-commerce & Asia

• RedNote 小红书 Scraper — notes, profiles and transcripts
• TikTok Shop Scraper — products, sales and reviews
• Amazon Scraper — products, reviews and best sellers
• AliExpress Scraper — products, variants and sellers
• Alibaba Scraper — products, suppliers and prices

Social media

• Instagram Scraper — profiles, posts, reels and comments
• YouTube Scraper — videos, shorts and comments
• TikTok Profile Scraper — profiles and contacts
• Threads Scraper — posts, profiles and replies
• X (Twitter) Scraper — posts and followers

SEO & web intelligence

• Ahrefs SEO Scraper — DR, backlinks and keywords
• Semrush Scraper — traffic, authority and backlinks
• SimilarWeb Scraper — website traffic and rankings
• Website Contact Scraper — emails, phones and socials

Real estate & travel

• Zillow Scraper — listings and Zestimate
• Booking Scraper — hotels and reviews
• Idealista Scraper — Spain and Italy listings

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