Kakao Map Reviews Scraper (카카오맵 리뷰 + 블로그 리뷰)

Scrape Kakao Map reviews (카카오맵 리뷰) of any Korean restaurant, cafe, hotel, clinic or shop. Give place links, and get each review's star rating, full text, photos, date, likes, taste/value/service tags and reviewer stats — plus the place's blog reviews (블로그 리뷰) with title, excerpt, photos and a link to the post.

No Kakao account, login or cookies are needed. Download the reviews as JSON, CSV or Excel, run the Actor from the API on a schedule, or ask an AI assistant such as Claude or ChatGPT to get Kakao Map reviews for you.

What does Kakao Map Reviews Scraper do?

It opens each Kakao Map place that you give it and saves one row for each review. You get two kinds of reviews in one dataset, and the source field tells them apart:

• Kakao Map reviews (후기) — the star ratings and comments that people write on Kakao Map:
  • Rating and text: 1–5 stars and the full review text
  • Photos: links to the original-size photos of the review
  • Strengths: what the reviewer liked — 맛 (taste), 가성비 (value), 친절 (service), 분위기 (atmosphere), 주차 (parking)
  • Engagement: the like count and the owner's pick flag (the business pinned the review)
  • Dates: when the review was written and when it was last edited
  • Reviewer: nickname, user ID, Kakao Map level, review count, followers and average rating
• Blog reviews (블로그 리뷰) — the blog posts that Kakao Map links to the place:
  • Post: title, the excerpt that Kakao Map shows, and the link to the blog post
  • Photos: links to the post's photos
  • Author and date: blog author name and publish date

Every row also has the place's name, ID, link, Kakao Map score and review count, so you can mix many places in one table.

You can get every Kakao Map review of a place, sort by newest or most helpful, and get only the reviews written after a date — for example, the last 30 days.

Because it runs on the Apify platform, you also get API access, scheduling, integrations and run monitoring.

Why scrape Kakao Map reviews?

Kakao Map (카카오맵) is one of Korea's two main map apps. Koreans use it to find and rate restaurants, cafes, clinics and shops. The official Kakao Local API gives place search results, but no reviews.

• Reputation monitoring: get the new reviews of your stores or branches every day, and see low ratings early.
• Competitor research: compare the ratings, complaints and praise of competing restaurants, cafes or clinics.
• Sentiment analysis and NLP: build Korean review datasets with star ratings, dates and strength tags.
• Market research for food and retail brands: see what customers say about a menu, a price or a service across many places.
• Influencer and blog outreach: find the bloggers who write about a place or about your competitors.
• Franchise and multi-location reporting: put the reviews of all your locations in one sheet.

How to scrape Kakao Map reviews in Apify Console

1. Open a place on Kakao Map and copy its link, for example https://place.map.kakao.com/26428654.
2. Paste one or more links into Kakao Map places, one on each line.
3. Choose the Review sources, the Max reviews per place and the sort order.
4. Optional: set Reviews from to get only recent reviews, for example 30 days.
5. Click Start and wait for the run to finish.
6. Open the Output tab to see the reviews, or export them as JSON, CSV, Excel, XML or HTML.

Input

Field	What it does	Default
Kakao Map places (places)	Place links or place IDs, one on each line	— (required)
Review sources (reviewSources)	kakaomap for Kakao Map reviews, blog for blog reviews, or both	both
Max reviews per place (maxReviewsPerPlace)	The maximum number of reviews for each place from each source. 0 gets all	100
Sort Kakao Map reviews by (sortBy)	newest (최신 순) or helpful (유용한 순). Blog reviews are always newest first	newest
Reviews from (dateFrom)	Only reviews written on or after this date (Korea time). Use a date such as 2026-01-01, or a period such as 7 days, 2 weeks, 6 months or 1 year	all dates

These place formats all work:

• Place links: https://place.map.kakao.com/26428654 (also the mobile m.place.map.kakao.com links)
• Map links: https://map.kakao.com/?itemId=26428654 and https://map.kakao.com/link/map/26428654
• Bare place IDs: 26428654

Each place is scraped one time, also when two lines in the list point to the same place.

Example: the 50 newest Kakao Map reviews of one place

{
  "places": ["https://place.map.kakao.com/26428654"],
  "reviewSources": ["kakaomap"],
  "maxReviewsPerPlace": 50,
  "sortBy": "newest"
}

Example: all reviews of the last 30 days for many places

{
  "places": [
    "https://place.map.kakao.com/26428654",
    "https://map.kakao.com/?itemId=1737095608"
  ],
  "reviewSources": ["kakaomap", "blog"],
  "maxReviewsPerPlace": 0,
  "dateFrom": "30 days"
}

Example: every Kakao Map review, most helpful first

{
  "places": ["26428654"],
  "reviewSources": ["kakaomap"],
  "maxReviewsPerPlace": 0,
  "sortBy": "helpful"
}

Output

You get one row for each review. Here is a Kakao Map review from a real run:

{
  "source": "kakaomap",
  "placeId": "26428654",
  "placeName": "하동관 코엑스몰직영점",
  "placeUrl": "https://place.map.kakao.com/26428654",
  "placeRating": 3.3,
  "placeReviewCount": 207,
  "reviewId": "16815499",
  "rating": 4,
  "title": null,
  "text": "하동관. 오랜만에 방문하였습니다.\n코엑스 스타필드몰에도 입점해 있네요. 11시쯤 방문하니 대기없이 들어올수 있었어요. 진한 곰탕에 밥이 말아져 있어서 깔끔하기 먹기 너무 좋은것 같아요. 요런 깊은 맛은 역시 하동관이 최고이죠!!! 가격은 물론 조금 비싸요.",
  "url": null,
  "publishedAt": "2026-10-20T23:20:09+09:00",
  "updatedAt": "2026-10-20T23:20:09+09:00",
  "photoCount": 2,
  "photos": [
    "https://t1.kakaocdn.net/local/kakaomapPhoto/review/e7f26f1bb3e53f3c1e49c27896f4fd445365a810?original",
    "https://t1.kakaocdn.net/local/kakaomapPhoto/review/14caa859c427ea8b077665e35a2f33ffee69f0bd?original"
  ],
  "strengths": ["맛", "친절"],
  "likeCount": 0,
  "isOwnerPick": false,
  "authorName": "Jerry Chung",
  "authorId": "325707546",
  "authorLevel": 36,
  "authorReviewCount": 108,
  "authorFollowerCount": 35,
  "authorAverageRating": 4,
  "scrapedAt": "2026-10-21T05:48:44.864Z"
}

And here is a blog review of the same place (the text and the photos list are shortened):

{
  "source": "blog",
  "placeId": "26428654",
  "placeName": "하동관 코엑스몰직영점",
  "placeUrl": "https://place.map.kakao.com/26428654",
  "placeRating": 3.3,
  "placeReviewCount": 207,
  "reviewId": "102836457",
  "rating": null,
  "title": "80년의 시간으로 우려낸 진한 곰탕 하동관 코엑스몰 직영점",
  "text": "26년 1월. 여전히 추운날씨다. 이러한 추운 날씨에는 따뜻한 국물이 생각나는 법이다. 유독 오늘은 국물 요리 중에서도, 맑은 국에 깔끔하면서도 깊은 맛이 있는 탕을 먹고 싶었고 고민끝에 선택한 곳은 하동관. …",
  "url": "https://blog.naver.com/2425j/224151131686",
  "publishedAt": "2026-01-18T21:11:00+09:00",
  "updatedAt": null,
  "photoCount": 14,
  "photos": [
    "https://postfiles.pstatic.net/MjAyNjAxMThfMzMg/MDAxNzY4NzM1OTA1NzY4.N0ENj4HBp1CND-UkjEPj8Cs9sFn5QusE8cLUOJEO0Dcg.Q2DNE9E54FVLnP0Ma3ad2aEXMTYGgh0w-bi0hKDla5Ig.JPEG/5.jpg?type=w466"
  ],
  "strengths": [],
  "likeCount": null,
  "isOwnerPick": false,
  "authorName": "앤써니라이프",
  "authorId": null,
  "authorLevel": null,
  "authorReviewCount": null,
  "authorFollowerCount": null,
  "authorAverageRating": null,
  "scrapedAt": "2026-10-21T05:30:29.774Z"
}

The Output tab shows the reviews in a table with the place, source, stars, title, text, publish date, strengths, photo count, author and blog post link. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Field	Kakao Map review	Blog review
source	kakaomap	blog
placeId, placeName, placeUrl	✅	✅
placeRating	The place's Kakao Map score out of 5	✅ (same)
placeReviewCount	The number of Kakao Map reviews of the place	✅ (same)
reviewId	✅	✅
rating	1–5 stars	null
title	null	The blog post title
text	The full review text	The excerpt that Kakao Map shows
url	null	The link to the blog post
publishedAt	When the review was written	When the post was published
updatedAt	When the review was last edited	null
photos, photoCount	✅	✅
strengths	맛, 가성비, 친절, 분위기, 주차	[]
likeCount	✅	null
isOwnerPick	true when the business pinned the review	false
authorName	Kakao Map nickname	Blog author name
authorId, authorLevel, authorReviewCount, authorFollowerCount, authorAverageRating	✅	null
scrapedAt	When your run collected the row (UTC)	✅

All review dates are in Korea time, ISO 8601 (+09:00).

How to use Kakao Map Reviews Scraper

In Apify Console

1. Open the Actor, fill in the Input tab and click Start.
2. Watch the run's progress in the log, then open the Output tab.
3. Click Save as a new task to run the same setup again with one click. On the task, add a Schedule and set Reviews from to 1 day to get the new reviews of your places every day.

With the Apify API (HTTP)

Run the Actor and get its results in one request. Replace YOUR_API_TOKEN with your token from Settings → API & Integrations in Apify Console.

curl -X POST "https://api.apify.com/v2/acts/hgservices~kakao-map-reviews-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"places": ["https://place.map.kakao.com/26428654"], "maxReviewsPerPlace": 20}'

Add &format=csv or &format=xlsx to the URL to get CSV or Excel instead of JSON. For long runs, start the run with POST /v2/acts/hgservices~kakao-map-reviews-scraper/runs, and then read the items of the run's default dataset when it finishes.

With the JavaScript client

Install the client with npm install apify-client, then run:

import { ApifyClient } from 'apify-client';

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

const run = await client.actor('hgservices/kakao-map-reviews-scraper').call({
    places: [
        'https://place.map.kakao.com/26428654',
        'https://place.map.kakao.com/1737095608',
    ],
    reviewSources: ['kakaomap', 'blog'],
    maxReviewsPerPlace: 50,
    dateFrom: '30 days',
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const review of items) {
    console.log(review.placeName, review.source, review.rating, review.publishedAt, review.text);
}

With the Python client

Install the client with pip install apify-client (version 3.0 or later), then run:

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("hgservices/kakao-map-reviews-scraper").call(
    run_input={
        "places": [
            "https://place.map.kakao.com/26428654",
            "https://place.map.kakao.com/1737095608",
        ],
        "reviewSources": ["kakaomap"],
        "maxReviewsPerPlace": 0,
        "sortBy": "newest",
        "dateFrom": "2026-01-01",
    }
)
if run is None:
    raise RuntimeError("The run was not found.")

for review in client.dataset(run.default_dataset_id).iterate_items():
    print(review["placeName"], review["rating"], review["publishedAt"], review["strengths"])
    print("    ", review["text"])

With Claude, ChatGPT and other AI assistants (MCP)

Connect your AI assistant to the Apify MCP server. The assistant can then run this Actor for you and answer from the reviews. To give the assistant this Actor as a tool, use this server URL:

https://mcp.apify.com?tools=hgservices/kakao-map-reviews-scraper

• Claude (claude.ai or Claude Desktop): open Settings → Connectors, click Add custom connector and paste the URL.
• Claude Code: run claude mcp add --transport http apify "https://mcp.apify.com?tools=hgservices/kakao-map-reviews-scraper".
• Apify CLI: run apify mcp install claude-code --tools hgservices/kakao-map-reviews-scraper (also works for cursor, vscode and codex).
• ChatGPT: in Settings → Apps & Connectors, turn on developer mode, create a connector and paste the URL.
• Cursor, VS Code and other MCP clients: add the URL as a remote (HTTP) MCP server.

Sign in with your Apify account when asked. Then ask in plain language, for example:

• "Get the Kakao Map reviews of https://place.map.kakao.com/26428654 from the last 3 months and summarize the complaints in English."
• "Compare the ratings and the most common strengths of these two Kakao Map places."
• "Get the blog reviews of this restaurant on Kakao Map and list the bloggers with links to their posts."

With integrations

Send the results to Google Sheets, Slack, email, Zapier, Make, n8n, Airbyte or any webhook from the Actor's Integrations tab. For example, get the new reviews of all your branches every morning, and send each review with 1 or 2 stars to a Slack channel.

Tips

• Get all Kakao Map reviews. Set Max reviews per place to 0. The Actor then gets every Kakao Map review of the place.
• Track only new reviews. Schedule a task with Reviews from set to 1 day or 7 days, and keep the sort order on Newest first.
• Find the places first. Use Kakao Map Search Scraper to search Kakao Map by keyword and get place links, or Kakao Map Building Directory to list every business in a building or mall. Then give those links to this Actor.
• Translate or analyze the text. The review text is in Korean. Connect the Actor to an AI assistant through MCP to translate, summarize or classify the reviews.

Limits

• Blog reviews stop at 100 for each place. Kakao Map shows only the newest 100 blog reviews of a place, also when it counts more.
• Blog reviews have an excerpt, not the full post. Use the url field to open the full post.
• "Newest first" sorts by the last change. A review that someone edited recently can come before newer reviews. The publishedAt field is always the date when the review was first written, and Reviews from uses that date.
• Unknown places are skipped. When no Kakao Map place has an ID, the run log tells you, and that place gives no rows.

Related Actors

• Kakao Map Search Scraper searches Kakao Map by keyword and gets the places to give to this Actor.
• Kakao Map Building Directory lists every business inside a building, shopping mall or office tower.

FAQ, disclaimers and support

Do I need a Kakao account or cookies? No. The Actor reads only what Kakao Map shows to any visitor. It never logs in, so your account is never at risk.

Do I need a proxy? No. You do not need to set up a proxy.

Can I get all the reviews of a place? Yes, for Kakao Map reviews. Set Max reviews per place to 0. In a test run, the Actor got all 207 Kakao Map reviews of a place that shows 207. For blog reviews, Kakao Map shows only the newest 100.

How fast is it? A run with two places and 462 reviews (Kakao Map and blog) took about 30 seconds.

Which places does it support? Any place that has a page on Kakao Map: restaurants (맛집), cafes, bars, hotels, hospitals and clinics, beauty salons, academies, shops and more.

Is it legal to scrape Kakao Map reviews? The Actor collects only reviews that Kakao Map shows publicly without a login. Reviews and photos are written by Kakao Map users and bloggers, and their nicknames are personal data, which is protected by laws such as Korea's Personal Information Protection Act (PIPA) and the GDPR. You are responsible for using the data in line with Kakao's terms of service, copyright and these laws. Scrape only what you have a legitimate reason to use.

I found a problem or need a feature. Open an issue on the Issues tab, and we will look into it. Custom solutions for Kakao Map and other Korean websites are available on request.