NAVER Blog & Cafe Scraper

Naver Blog & Cafe Scraper

Naver Blog & Cafe Scraper extracts public posts from Naver Blog and Naver Cafe (네이버 블로그 · 네이버 카페), Korea's largest blogging and community platforms. Search by keyword or scrape direct post URLs, and get structured post text, images, hashtags, category, likes, comments, and place info.

Search Naver Blog and Naver Cafe by keyword or scrape specific post URLs directly, and pull full text, images, hashtags, category, like counts, comment data, and linked place info in one structured dataset.

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Use Apify Actor parsebird/naver-blog-cafe-scraper to scrape public Naver Blog and Naver Cafe (네이버 블로그, 네이버 카페) posts. Example with ApifyClient: client.actor("parsebird/naver-blog-cafe-scraper").call(run_input={"searchKeywords":["강남 맛집"],"searchType":"both","maxResults":30,"scrapeContent":True,"scrapeComments":True}), then read client.dataset(run["defaultDatasetId"]).iterate_items(). Key inputs: searchKeywords array of search terms, directUrls array of specific Naver Blog or Naver Cafe post URLs (skips search), searchType enum blog/cafe/both default both, maxResults integer per keyword per search target default 30 (up to 1000), sortBy enum sim (relevance) / date (newest first) default sim, scrapeContent boolean default true (full text, images, tags, category, likes, place info), scrapeComments boolean default true, maxConcurrency integer default 5, proxyConfiguration object. Output fields include type (blog/cafe), title, url, author, date, content, contentHtml, images, tags, category, likeCount, commentCount, comments, places, externalLinks, hasVideo, cafeName, cafeUrl, searchKeyword, scrapedAt. API docs: https://docs.apify.com/api/client/python/ and https://docs.apify.com/api/client/js/. Token: https://console.apify.com/account/integrations.

What does Naver Blog & Cafe Scraper do?

Naver Blog & Cafe Scraper collects public post data from Naver Blog and Naver Cafe, the two platforms Korean users rely on most for long-form reviews, recommendations, and community discussion. Use it to monitor brand mentions, build content datasets, track influencer or "체험단" (sponsored review) posts, or feed Korean-language text into NLP and LLM pipelines.

• 🔍 Search by Korean or English keyword (e.g. 강남 맛집 or Seoul cafe), targeting blog, cafe, or both at once.
• 🔗 Or scrape specific direct post URLs, skipping search entirely.
• 📝 Extract full post text, raw HTML content, and every image URL from blog and public cafe posts.
• 🏷️ Capture blog hashtags and category, and cafe board category.
• ❤️ Collect blog "공감" (like) counts.
• 💬 Collect comment data (author, content, date, reply flag) for cafe posts, and best-effort comment data for blog posts.
• 📍 Extract embedded place info (name, address, phone, coordinates) when a post links a Naver Map location.
• 🎥 Flag posts that contain video, and extract external link previews.
• ⚡ Scrape posts concurrently, with adjustable concurrency and proxy support for reliable access at scale.
• 📤 Send results to Apify integrations, the Apify API, webhooks, databases, or spreadsheets, and download JSON, CSV, or Excel.

What data can you extract from Naver Blog and Naver Cafe?

Field	Description
title	Post title
content / contentHtml	Full plain text and raw HTML of the post
images	All image URLs in the post
tags	Blog hashtags (blog posts only)
category	Blog category or cafe board name
likeCount	Blog "공감" (like) count
commentCount	Total comment count reported by Naver
comments	Comment author, content, date, and reply flag
places	Linked Naver Map place: name, address, phone, latitude, longitude
externalLinks	External link previews embedded in the post
hasVideo	Whether the post contains video
cafeName / cafeUrl	Cafe name and URL (cafe posts only)

How to scrape Naver Blog and Naver Cafe posts

1. Open Naver Blog & Cafe Scraper on Apify.
2. Add one or more search keywords to searchKeywords, such as 강남 맛집 or Seoul cafe.
3. Or leave searchKeywords empty and add specific post URLs to directUrls to skip search entirely.
4. Set searchType to blog, cafe, or both, and choose sortBy (sim for relevance, date for newest first).
5. Set maxResults per keyword per search target. Keep it low for a fast, cheap test run.
6. Toggle scrapeContent and scrapeComments depending on how much detail you need.
7. Enable a proxy in proxyConfiguration for large or repeated runs to avoid Naver rate limiting.
8. Run the actor, open the dataset, and export results as JSON, CSV, or Excel, or connect them through the Apify API.

Input parameters

Parameter	Type	Required	Default	Description
searchKeywords	array	No	Prefilled with 1 keyword	Search terms, Korean or English
directUrls	array	No	[]	Specific Naver Blog or Naver Cafe post URLs to scrape directly, skipping search
searchType	string	No	both	blog, cafe, or both
maxResults	integer	No	30	Max search results per keyword, per search target (1–1,000)
sortBy	string	No	sim	sim (relevance) or date (newest first)
scrapeContent	boolean	No	true	Fetch full text, images, tags, category, likes, and place info
scrapeComments	boolean	No	true	Collect comment data where available
maxConcurrency	integer	No	5	Posts to scrape in parallel (1–10)
proxyConfiguration	object	No	Apify proxy	Proxy settings; recommended for large runs

Output example

Blog post:

{
  "type": "blog",
  "title": "보슬보슬 역삼동 점심맛집 강남역 점심맛집",
  "url": "https://blog.naver.com/yazeyazasu/224363158720",
  "author": "뷰티한세경",
  "date": "2026. 7. 30. 20:46",
  "content": "오늘은 친구랑 역삼동 점심맛집으로 유명한 보슬보슬 다녀왔어요...",
  "images": ["https://mblogthumb-phinf.pstatic.net/..."],
  "tags": ["역삼동점심맛집", "강남역점심맛집", "역삼동맛집"],
  "category": "요리·레시피",
  "likeCount": 242,
  "commentCount": 32,
  "comments": [],
  "places": [
    {
      "name": "보슬보슬 역삼본점",
      "address": "서울특별시 강남구 논현로85길 59 남곡빌딩 1층",
      "phone": "02-6014-1245",
      "latitude": 37.4977095,
      "longitude": 127.0332676
    }
  ],
  "hasVideo": true,
  "searchKeyword": "강남 맛집",
  "scrapedAt": "2026-08-10T23:35:47.112393Z"
}

Cafe post:

{
  "type": "cafe",
  "title": "베스트 강남역 맛집 추천",
  "url": "https://cafe.naver.com/ungsangjang/864467",
  "author": "맛집감별사2",
  "date": "2026-08-08T08:38:43.820000Z",
  "content": "친구 하나가 강남에 게장 진짜 잘하는 집이 있다며...",
  "category": "🌈시끌벅적 수다방",
  "commentCount": 10,
  "comments": [
    {
      "author": "삼둥이엄마",
      "content": "꽃게에 살이 꽉찬 게 밥이랑 먹으면 진짜 밥도둑 이겠네요",
      "date": "2026-08-08T08:47:01Z",
      "isReply": false
    }
  ],
  "places": [
    {
      "name": "더오다리집 강남",
      "address": "서울특별시 강남구 봉은사로30길 74 1층",
      "phone": "02-556-6769",
      "latitude": 37.5027868,
      "longitude": 127.0368531
    }
  ],
  "cafeName": "부산 경남 맘스홀릭",
  "cafeUrl": "https://cafe.naver.com/ungsangjang",
  "searchKeyword": null,
  "scrapedAt": "2026-08-10T23:36:46.557699Z"
}

Download results in JSON, CSV, Excel, HTML, or XML directly from the Apify dataset, or read them through the API.

Python API example

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("parsebird/naver-blog-cafe-scraper").call(run_input={
    "searchKeywords": ["강남 맛집"],
    "searchType": "both",
    "maxResults": 30,
    "scrapeContent": True,
    "scrapeComments": True,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["type"], item["title"])

See the official Apify Python client documentation for authentication and dataset options.

JavaScript API example

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('parsebird/naver-blog-cafe-scraper').call({
  directUrls: ['https://blog.naver.com/yazeyazasu/224363158720'],
  scrapeContent: true,
  scrapeComments: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

See the official Apify JavaScript client documentation for more examples.

How much does it cost to scrape Naver Blog and Naver Cafe?

What is the price per Naver Blog or Cafe post?

Event	Free	Bronze	Silver	Gold
post-scraped	$0.0039 ($3.90 / 1,000)	$0.0037 ($3.70 / 1,000)	$0.0035 ($3.50 / 1,000)	$0.0033 ($3.30 / 1,000)

Each post-scraped event means one blog or cafe post was pushed to the dataset. Scraping 100 posts costs about $0.33–$0.39 depending on your plan. Apify's free trial credits cover small test runs.

Use cases

• Monitor brand or product mentions across Naver Blog and Naver Cafe communities.
• Track sponsored review ("체험단") posts and their engagement (likes, comments).
• Build content or sourcing datasets for Korean restaurants, businesses, and locations using the extracted places field.
• Feed Korean blog and cafe text into NLP or LLM pipelines for sentiment analysis or summarization.
• Archive or back up specific blog/cafe posts by direct URL.
• Compare keyword coverage and posting volume between Naver Blog and Naver Cafe for a topic.

How it works

1. For search keywords, the actor queries Naver's public blog and/or cafe search and collects matching post URLs, paging until maxResults or Naver's result limit is reached.
2. For direct URLs, it parses the blog ID / log number or cafe alias / article ID straight from the URL, skipping search.
3. If scrapeContent is on, it fetches each post's rendered page (or the public cafe article API) and extracts text, HTML, images, hashtags, category, likes, and any linked Naver Map place.
4. If scrapeComments is on, it collects comment data — reliably for cafe posts via Naver's public article API, and on a best-effort basis for blog posts.
5. It normalizes every post into a single output schema shared by blog and cafe records.
6. It pushes each post to the Apify dataset and applies PPE charging only on the Apify platform, stopping automatically if the user's spending limit is reached.

Is it legal to scrape Naver Blog and Naver Cafe?

Is scraping Naver Blog and Naver Cafe posts legal?

Scraping publicly available web data is generally allowed in many jurisdictions, but you should review Naver's terms of service, avoid collecting private or sensitive information, and make sure your use case complies with applicable laws. For background, read Apify's guide: Is web scraping legal?.

Limitations

• Private (membership-only) cafe posts cannot be scraped.
• Blog comments may not be available for some posts due to Naver's access restrictions.
• Some content may be restricted due to Naver's access control policies.

Other scrapers / Related Actors

Actor	Best for
Naver Blog & Cafe Scraper	Naver Blog and Naver Cafe posts, comments, and place data
Naver Place Review Scraper	Naver Place visitor reviews, blog reviews, and rating statistics
GetYourGuide Review Scraper	Tour and activity review data with ratings and text
Website Contact Finder	Finding public contact details for a business or lead list

FAQ

Can I use this as a Naver Blog or Cafe API?

Yes. Start runs and fetch datasets through the Apify API, Python client, JavaScript client, webhooks, or integrations.

Can I scrape both blog and cafe posts in one run?

Yes. Set searchType to both (the default) to search both platforms with a single keyword list.

Can I scrape a specific list of posts instead of searching?

Yes. Add the post URLs to directUrls. The actor skips search and scrapes those posts directly.

Why are some cafe posts missing content or comments?

Naver Cafe requires membership login to view posts in private or restricted cafes and boards. The actor cannot bypass this and skips those posts.

Why are blog comments often empty?

Naver restricts its public blog comment endpoint for most posts. The actor still attempts the fetch and returns whatever Naver allows, which is empty for many posts. commentCount (the total Naver reports) is still returned even when the comment list itself is unavailable.

How many results can I collect per keyword?

Set maxResults up to 1,000 per keyword, per search target (blog and cafe are counted separately when searchType is both).

Does this actor require a proxy?

A proxy is recommended for large or repeated runs to avoid Naver rate limiting. The input schema defaults to Apify proxy settings.

Can I schedule recurring scraping?

Yes. Use Apify schedules to run this actor daily, weekly, or at any interval to track new posts or mentions over time.

Where can I report issues or request fields?

Open the Issues tab on the actor page and include your input example, run ID, and the post URL.