Naver Blog Topic Feed Scraper (네이버 블로그 주제별)

Scrape the featured posts of Naver Blog topics (주제별 보기) — 맛집, 국내여행, 상품리뷰, 육아·결혼, IT·컴퓨터 and 24 more. For each post you get the title, snippet, author, publish date, likes, comment count, thumbnails and the 내돈내산 (self-purchased) flag, in Naver's order.

Export the posts as JSON, CSV, Excel, XML or HTML, or read them from the API.

No Naver account. No login. No coding needed.

What does Naver Blog Topic Feed Scraper do?

Naver Blog sorts posts into 29 topics on its 주제별 보기 page. Select the topics that you want. For each topic, the scraper returns the posts that Naver features there now:

• Post data — title, snippet, desktop and mobile post URL, publish date, thumbnails, and whether the post has a video.
• Engagement — likes (공감) and comment count.
• Author data — nickname, blog URL and profile image.
• Topic data — the feed topic, the post's rank in the feed, and the post's own topic.
• 내돈내산 flag — selfPurchased: true when Naver labels the post as bought with the author's own money.
• Up to 1,000 posts per topic — all the posts that Naver shows for a topic.
• Many topics in one run — select one topic or all 29.

Use cases

• Korean trend research — See what Korean bloggers write about now in food, travel, parenting, beauty, IT and more.
• Influencer and blogger discovery — Find active bloggers in a topic, with the likes and comments that their posts get.
• Content ideas and Naver SEO — Study the titles and subjects that Naver features in your category.
• Self-paid review research — Collect 내돈내산 posts in 상품리뷰 or 맛집 for honest consumer opinions.
• Daily topic monitoring — Run the scraper on a schedule and collect the new featured posts every day.
• Korean NLP and AI datasets — Collect fresh Korean text that is already labeled by topic.

How to scrape Naver Blog topics in Apify Console

1. Click Try for free and sign in to Apify. A free account is enough.
2. In Topics, select one or more topics, for example 맛집 (Restaurants).
3. In Max posts per topic, set the number of posts that you want for each topic. The default is 100.
4. Click Start.
5. Open the Output tab. View the posts as a table, or download them as JSON, CSV, Excel, XML or HTML.

Input

Field	Type	Default	Description
topics	string[]	—	The Naver Blog topics to scrape. Each topic is scraped separately. Required
maxResults	integer	100	The most posts to return for each topic, from 1 to 1,000. 0 = all the posts of the topic

Topic values

Value	Topic	Value	Topic
books	문학·책	cooking-recipes	요리·레시피
movies	영화	product-reviews	상품리뷰
performances-exhibitions	공연·전시	games	게임
dramas	드라마	sports	스포츠
broadcasting	방송	cars	자동차
music	음악	domestic-travel	국내여행
celebrities	스타·연예인	world-travel	세계여행
comics-animation	만화·애니	restaurants	맛집
daily-life	일상·생각	it-computers	IT·컴퓨터
parenting-marriage	육아·결혼	society-politics	사회·정치
pets	반려동물	health-medicine	건강·의학
quotes-images	좋은글·이미지	business-economy	비즈니스·경제
fashion-beauty	패션·미용	education	교육·학문
interior-diy	인테리어·DIY	languages	어학·외국어
		gardening	원예·재배

Input examples

The newest 100 featured 맛집 posts

{
    "topics": ["restaurants"]
}

Three topics, 300 posts each

{
    "topics": ["restaurants", "domestic-travel", "product-reviews"],
    "maxResults": 300
}

All the posts of one topic

{
    "topics": ["it-computers"],
    "maxResults": 0
}

Output

You get one row for each post of each topic. Example (shortened):

{
    "topic": "restaurants",
    "topicName": "맛집",
    "rank": 3,
    "blogId": "paperchan",
    "logNo": "224438187954",
    "url": "https://blog.naver.com/paperchan/224438187954",
    "mobileUrl": "https://m.blog.naver.com/paperchan/224438187954",
    "title": "(청주) 극동반점",
    "snippet": "예전만큼 맛있는 짜장면을 만드는 곳이 점점 줄고 있는지라 화상의 손맛이 살아있는 맛있는 짜장면을 먹으러 들린 ...",
    "nickName": "레이니",
    "blogUrl": "https://blog.naver.com/paperchan",
    "profileImageUrl": "https://blogpfthumb-phinf.pstatic.net/.../22-398-paperchan.jpg?type=s1",
    "publishedAt": "2026-10-11T10:31:31.220Z",
    "likeCount": 93,
    "commentCount": 17,
    "thumbnailUrl": "https://blogthumb.pstatic.net/.../8.jpg?type=s2",
    "thumbnails": [
        "https://blogthumb.pstatic.net/.../8.jpg?type=s2",
        "https://blogthumb.pstatic.net/.../1.jpg?type=s2"
    ],
    "hasVideo": false,
    "postTopic": "맛집",
    "selfPurchased": false,
    "scrapedAt": "2026-10-11T15:28:49.407Z"
}

Output fields

Field	Description
topic, topicName	The feed topic: the input value and the Korean name
rank	The post's position in the topic feed (1 = first)
blogId, logNo	The blogger's ID and the post's numeric ID
url, mobileUrl	The desktop and mobile post URLs
title, snippet	The post title and the start of the post text, as plain text
nickName, blogUrl, profileImageUrl	The author's nickname, blog URL and profile image
publishedAt	The publish time (ISO 8601, UTC)
likeCount, commentCount	Likes (공감) and comments
thumbnailUrl, thumbnails	The first thumbnail, and all the thumbnails that Naver shows for the post
hasVideo	true when Naver shows a video thumbnail for the post
postTopic	The topic of the post itself. It can be different from the feed topic (see the FAQ)
selfPurchased	true when Naver labels the post 내돈내산 (bought with the author's own money)
scrapedAt	When the post was scraped (UTC)

Use Naver Blog Topic Feed Scraper with the Apify API

Run the scraper and read the results from any programming language with the Apify API. Get your API token in Apify Console under Settings → API & Integrations, and replace <YOUR_API_TOKEN> below.

HTTP (cURL) — run the scraper and get the posts in one call:

curl -X POST "https://api.apify.com/v2/acts/hgservices~naver-blog-topic-feed-scraper/run-sync-get-dataset-items?format=json" \
  -H "Authorization: Bearer <YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{ "topics": ["restaurants"], "maxResults": 50 }'

Change format=json to format=csv or format=xlsx to get a spreadsheet. For large runs (many topics or 1,000 posts each), start the run with POST /v2/acts/hgservices~naver-blog-topic-feed-scraper/runs and read the dataset when the run finishes.

JavaScript / Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });

const run = await client.actor('hgservices/naver-blog-topic-feed-scraper').call({
    topics: ['restaurants', 'domestic-travel'],
    maxResults: 200,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const post of items) {
    console.log(post.topicName, post.rank, post.title, post.likeCount, post.url);
}

Python (apify-client 3.0 or later)

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run = client.actor("hgservices/naver-blog-topic-feed-scraper").call(run_input={
    "topics": ["product-reviews"],
    "maxResults": 500,
})
if run is None:
    raise RuntimeError("The run was not found.")

posts = list(client.dataset(run.default_dataset_id).iterate_items())
self_paid = [p for p in posts if p["selfPurchased"]]
print(f"{len(self_paid)} of {len(posts)} posts are 내돈내산")

posts.sort(key=lambda p: p["likeCount"] or 0, reverse=True)
for post in posts[:10]:
    print(post["likeCount"], post["title"], post["url"])

Use Naver Blog data in Claude, ChatGPT and other AI assistants

This scraper works as a tool for AI assistants through the Apify MCP server. Your assistant can find the scraper, read its input options, run it, and use the posts in its answer.

Claude (claude.ai or Claude Desktop) — Go to Settings → Connectors, add a custom connector, and enter https://mcp.apify.com. Sign in to Apify when Claude asks.

Claude Code

$claude mcp add --transport http apify https://mcp.apify.com

ChatGPT — Turn on Developer mode in Settings → Apps & Connectors → Advanced settings. Then create a connector with the MCP server URL https://mcp.apify.com.

Cursor, VS Code and other MCP clients — Add https://mcp.apify.com as a remote MCP server. To give the assistant only this scraper, use https://mcp.apify.com?tools=hgservices/naver-blog-topic-feed-scraper.

Then ask in plain language:

Use the Naver Blog Topic Feed Scraper to get 200 posts from the 맛집 topic, and tell me which cities and dishes come up most often.

Get the newest 100 posts of the 육아·결혼 topic and summarize the main subjects in English.

Which bloggers in the 국내여행 topic get the most likes this week?

Integrations and scheduling

Connect the scraper to the tools that you already use with Apify integrations: Google Sheets, Slack, Zapier, Make, n8n, Airbyte, Keboola and more. Use webhooks to call your own endpoint when a run finishes.

Use Schedules in Apify Console to run the scraper automatically, for example every morning to collect the new featured posts of your topics.

Pricing

This scraper uses pay-per-event pricing:

• Topic — one charge for each topic in your input, for each run. The scraper charges a topic before it reads the feed, also when the feed has no posts.
• Post — one charge for each post in your dataset.

The prices of the events are on the Pricing tab. Use Max posts per topic to control the cost of a run. Apify's free plan lets you try the scraper at no cost.

Good to know

• The feed changes all the time. Naver adds new posts to a topic feed during the day. Each run gets the feed as Naver shows it at that time.
• Daily tracking. Schedule the scraper every day with a small Max posts per topic to get the new posts only.
• Only posts of one topic? Filter the dataset on postTopic.
• Same post, more topics. When two topic feeds show the same post, the post is in the dataset once for each topic.

Related Actors

• Naver Blog Search Scraper — Naver Blog posts by keyword, with optional full content.
• Naver Blog Post Scraper — the full content of posts by URL.
• Naver Blog Comments Scraper — all the comments and replies of Naver Blog posts.
• Naver Blog Profile Scraper — a blogger's profile, follower and visitor counts, and full post list.

FAQ

Do I need a Naver account? No. You need only an Apify account. The scraper reads the public topic pages that every visitor can see without an account.

Is the feed sorted by popularity? No. Naver's topic feed shows recent posts that Naver selects for the topic. The order is close to newest first, but not exactly. Use likeCount and commentCount to sort by popularity.

Why does a 맛집 feed contain a post about interior design? Naver's topic feed also shows posts from related topics. The scraper returns the feed as Naver shows it. postTopic gives the topic of each post.

Can I get more than 1,000 posts per topic? No. Naver shows at most 1,000 posts per topic. To get more posts on a subject, use the Naver Blog Search Scraper with a keyword.

Can I get the full text of the posts? The topic feed gives the start of the text (snippet). To get the full content, send the post URLs to the Naver Blog Post Scraper.

Is it legal to scrape Naver Blog? The scraper collects only publicly available content and never signs in. Use the data in line with Naver's Terms of Service and the laws that apply to you, including personal-data rules.

Support

Did you find a bug, or do you need a field that is not here? Open an issue on the Issues tab. Custom solutions are available on request.

This scraper is not affiliated with or endorsed by Naver.