Naver Blog, Cafe & News Search Scraper ๋„ค์ด๋ฒ„ ๋ธ”๋กœ๊ทธยท์นดํŽ˜ยท๋‰ด์Šค avatar

Naver Blog, Cafe & News Search Scraper ๋„ค์ด๋ฒ„ ๋ธ”๋กœ๊ทธยท์นดํŽ˜ยท๋‰ด์Šค

Pricing

from $0.40 / 1,000 search results

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Naver Blog, Cafe & News Search Scraper ๋„ค์ด๋ฒ„ ๋ธ”๋กœ๊ทธยท์นดํŽ˜ยท๋‰ด์Šค

Naver Blog, Cafe & News Search Scraper ๋„ค์ด๋ฒ„ ๋ธ”๋กœ๊ทธยท์นดํŽ˜ยท๋‰ด์Šค

Search Naver Blog, Naver Cafe and Naver News by keyword and get titles, URLs, snippets, authors, ISO dates and thumbnails for trend, brand and market research.

Pricing

from $0.40 / 1,000 search results

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Developer

E:LAB STUDIO

E:LAB STUDIO

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2

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4 days ago

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Search Naver Blog, Naver Cafe and Naver News by keyword and get every result as clean JSON / CSV / Excel: title, URL, snippet, blog or cafe name or news publisher, publish date as ISO 8601, and thumbnail. Results link back to the original post or article; the actor does not copy post or article bodies.

Naver is South Korea's #1 search engine. Its blogs and cafes (forums) are where Korean consumers write reviews, ask for recommendations and complain, so this is the place to listen to the Korean market.

  • English field names, one schema for all three sources
  • Relative dates (3์‹œ๊ฐ„ ์ „, 1์ผ ์ „, ์–ด์ œ) converted to real timestamps in Korea time
  • Ads (ํŒŒ์›Œ์ปจํ…์ธ ) removed, ranks kept
  • Sort by relevance or newest, filter by period or custom date range
  • No login, no API key, no browser: fast and cheap

What you can use it for

  • Brand and product monitoring: what Korean bloggers and cafe members say about your product or competitors.
  • Trend and buzz tracking: count how often a product, brand or topic shows up in Korean blogs, cafes and news over time.
  • Influencer discovery: find the blogs that rank for your keywords and their posting dates.
  • News tracking: Korean press coverage of a company, person or topic, with publisher and original link.
  • Market research: volume of posts over time for a keyword, trending topics, consumer questions in cafes.

Input

FieldExampleNotes
keywords["๋ฌด์„  ์ด์–ดํฐ", "๊ฐค๋Ÿญ์‹œ ๋ฒ„์ฆˆ"]Search terms. Korean works best; English brand names work too.
sources["blog", "cafe", "news"]Any combination.
maxItemsPerKeyword100Per keyword and per source. Naver shows up to ~1,000 results per query.
sortrelevance / dateNewest first with date.
periodall, day, week, month, 6months, yearQuick time filter.
dateFrom / dateTo2026-01-01 / 2026-03-31Custom range (overrides period).
maxConcurrency4Parallel searches.
proxyConfiguration{ "useApifyProxy": false }Usually not needed.

Example: the newest 200 blog posts about a product in the past month

{ "keywords": ["๊ฐค๋Ÿญ์‹œ ๋ฒ„์ฆˆ"], "sources": ["blog"], "maxItemsPerKeyword": 200, "sort": "date", "period": "month" }

Example: Korean news coverage of a company in Q1

{ "keywords": ["์‚ผ์„ฑ์ „์ž ๋ฐ˜๋„์ฒด"], "sources": ["news"], "dateFrom": "2026-01-01", "dateTo": "2026-03-31", "maxItemsPerKeyword": 500 }

Output example

Blog post:

{
"keyword": "๋ฌด์„  ์ด์–ดํฐ",
"source": "blog",
"rank": 1,
"title": "๊ฐ€์„ฑ๋น„ ๋ฌด์„  ์ด์–ดํฐ ์ถ”์ฒœ, ์•ค์ปค ์‚ฌ์šด๋“œ์ฝ”์–ด P31i ํ›„๊ธฐ",
"url": "https://blog.naver.com/mobano/224382485186",
"snippet": "์ด ๋ฌด์„  ์ด์–ดํฐ์€ 3๋งŒ 9์ฒœ9๋ฐฑ ์›์— ํŒ๋งค ์ค‘(๋„ค์ด๋ฒ„ ์Šคํ† ์–ด ๊ธฐ์ค€)์ธ๋ฐ์š”...",
"authorName": "๋ชจ๋ฐ”๋…ธ",
"authorUrl": "https://in.naver.com/mobano",
"publishedAt": "2026-08-19T09:00:00+09:00",
"dateRaw": "2026.08.19.",
"thumbnailUrl": "http://blogfiles.naver.net/MjAyNjA4MThfMjEx/.../resize_DSC_4111.jpg",
"scrapedAt": "2026-11-09T04:39:09.478Z"
}

News article:

{
"keyword": "๋ฌด์„  ์ด์–ดํฐ",
"source": "news",
"rank": 1,
"title": "๊ฐ•์•„์ง€์™€ ๋›ฐ์–ด๋„ ์•ˆ ๋น ์ ธโ€ฆ์‚ผ์„ฑ ์ฒซ '๊ท€์— ๊ฑฐ๋Š” ์ด์–ดํฐ' ๋ฒ„์ฆˆ ์˜จ [์จ๋ณด๋‹ˆ]",
"url": "https://n.news.naver.com/mnews/article/031/0001073124?sid=105",
"snippet": "์‚ผ์„ฑ์ „์ž๊ฐ€ ์ง€๋‚œ๋‹ฌ 27์ผ ์ถœ์‹œํ•œ '๊ฐค๋Ÿญ์‹œ ๋ฒ„์ฆˆ ์˜จ'์€ ๊ฐค๋Ÿญ์‹œ ๋ฒ„์ฆˆ ์ตœ์ดˆ์˜ ํด๋ฆฝํ˜• ๋ฌด์„  ์ด์–ดํฐ์ด๋‹ค...",
"authorName": "์•„์ด๋‰ด์Šค24",
"authorUrl": "https://media.naver.com/press/031",
"publishedAt": "2026-11-08T09:01:12+09:00",
"dateRaw": "1์ผ ์ „",
"thumbnailUrl": "https://imgnews.pstatic.net/image/origin/031/2026/11/08/1073124.jpg",
"originalUrl": "http://www.inews24.com/view/2023721",
"naverNewsUrl": "https://n.news.naver.com/mnews/article/031/0001073124?sid=105",
"reporter": "๊ถŒ์„œ์•„ ๊ธฐ์ž"
}

Cafe post:

{
"keyword": "๋ฌด์„  ์ด์–ดํฐ",
"source": "cafe",
"rank": 1,
"title": "๊ท€ํ†ต์ฆ ์—†๋Š” ๋ฌด์„ ์ด์–ดํฐ ์ถ”์ฒœ ๋ถ€ํƒ๋“œ๋ ค์š”.",
"url": "https://cafe.naver.com/ranceali/109103",
"snippet": "ํ˜„์žฌ ์—์–ดํŒŸ์„ ์“ฐ๊ณ  ์žˆ๋Š”๋ฐ ์ˆ˜๋ช…์ด ๋‹ค๋˜์–ด ์•Œ๋ฆฌ์—์„œ ํŒ๋งคํ•˜๋Š” ์ด์–ดํฐ์œผ๋กœ ๊ตฌ๋งคํ•˜๋ ค ํ•ฉ๋‹ˆ๋‹ค...",
"authorName": "๋ž‘์Šค์•Œ๋ฆฌ",
"authorUrl": "https://cafe.naver.com/ranceali",
"publishedAt": "2026-11-03T13:38:00+09:00",
"dateRaw": "6์ผ ์ „"
}

Pricing

Pay per result:

  • $0.40 per 1,000 search results (title, URL, snippet, author, date, thumbnail)

So 1,000 results cost $0.40. You can set a maximum cost per run in Apify and the actor stops when it is reached.

FAQ

Do I need a Naver account or API key? No. The actor reads Naver's public search pages, like a logged-out visitor.

Does it return the full post text? No. To respect authors' and publishers' copyright, the actor returns search-listing data only (title, snippet, author, date, link). Open the URL to read the post.

How accurate are dates? Naver shows recent posts as "3์‹œ๊ฐ„ ์ „" (3 hours ago). The actor converts these to a timestamp at scrape time, so they are accurate to the unit shown (minutes, hours, days).

How many results can I get? Naver lists up to roughly 1,000 results per query and source. For more, split the query (add words) or use date ranges.

Is it legal? The actor collects publicly visible search results only. You are responsible for how you use the data, including personal data and copyright rules in your country.

Something broke? Naver changes its layout from time to time. Open an issue on the actor page and it will be fixed quickly.