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Kakao Map Review Scraper for CSV Export logo

Kakao Map Review Scraper for CSV Export

This Kakao Map review scraper exports Kakao Map and Kakao Place review data from store URLs into a structured CSV for reputation analysis, Korean local-market research, and branch audits. Import the workflow into the UScraper local desktop app, add normal place.map.kakao.com URLs, and collect reviewer names, ratings, review text, dates, photo links, and place details without building a custom crawler.

Output

CSV

Fields

17

Inputs

Place URLs

Review pages

Up to 60

Template

Free

At a glance

Export Kakao Place reviews to CSV

Use this template when you already have the Kakao Place store URLs you want to monitor or compare. The starter workflow includes two sample place pages, but the Navigate block accepts a longer reviewed URL list for restaurants, clinics, salons, retailers, branches, or competitors.

The automation path is built around a practical sequence: Navigate -> Wait for Page Load -> Sleep -> review loader and parser -> Element Exists -> Structured Export -> Loop Continue. The injected review collector attempts to open the review area, scroll through more reviews, request available review pages, and create hidden structured rows that the export block can read consistently.

Review text with business context

Export review content, rating, date, reviewer signals, image URLs, store name, category, address, phone, overall rating, and review counts in one spreadsheet.

Multi-place batches

Add more Kakao Place URLs to the Navigate block and let the loop append every detected review into the same local CSV.

Local desktop execution

The bundled workflow writes to your configured save folder and does not send the CSV through a hosted scraping actor.

Diagnostic fallback

If no public reviews are found or Kakao blocks the review API, the workflow can write a diagnostic value instead of failing silently.

Who this is for

Kakao Place review data use cases

Local SEO teams

Branch audits

Favorable to scraping

Export Kakao Place reviews for owned locations, then compare review volume, rating patterns, recent complaints, and photo usage across branches.

Market researchers

Competitor scans

Favorable to scraping

Collect comparable review rows from selected restaurants, hospitals, hotels, salons, or shops before coding themes in a spreadsheet.

Agencies

Korean reputation reports

Nuanced outcome

Build auditable exports for client analysis while keeping reviewer privacy, quote reuse, photo rights, and Kakao policy review separate from collection.

For broader Korean local research, pair this review workflow with the Kakao Map Shop List Scraper, Naver Map Review Scraper, and Naver Map Scraper by Keyword. Browse the UScraper template library when you need follow-up search, listing, or enrichment templates.


How to use

Configure the Kakao Map review scraper

1

Download and import

Download the hosted JSON template, then import it into UScraper.

2

Add place URLs

Replace the sample Kakao Place URLs in the Navigate block with the store pages you want to collect. Use normal https://place.map.kakao.com/... URLs.

3

Keep the waits

The page-load wait and short sleeps give Kakao time to render store metadata, review tabs, review cards, and image links before the parser runs.

4

Confirm the export path

Structured Export writes kakao-map-review-scraper.csv with headers enabled and append mode on. Change the local save folder before client or campaign runs.

5

Run and audit

Start with one or two places, open the CSV, and check row counts, Korean text encoding, missing reviewer fields, diagnostic rows, and image URL coverage.

Output preview

CSV columns produced by the template

The export keeps one row per detected review. Store fields repeat on every row, which makes the file useful for pivot tables, complaint tagging, rating analysis, and joining with your own location list.

store_namecategoryoverall_ratingreview_countreviewerreview_dateratingreview_contentreview_images
Seoul Coffee LabCafe4.4183reviewlog2026.5.215Quiet table, fast service, and strong iced latte.https://example.com/review-1.jpg
Seoul Coffee LabCafe4.4183minseo2026.5.184Good drinks, but the evening queue was long.
Busan Grill HouseKorean restaurant4.6421foodnote2026.4.305Friendly staff and generous portions for lunch.https://example.com/review-2.jpg
kakao-map-review-scraper.csv
CSV - UTF-8 - Append

Column

store_name

Business name from Kakao metadata, page title, or visible heading.

Column

category

Kakao category text when exposed on the place page.

Column

overall_rating

Store-level average rating when Kakao exposes it to the current session.

Column

rating_count

Count of rating entries detected from Kakao data or visible text.

Column

review_count

Store-level review count when available.

Column

address

Road address or visible address text.

Column

parcel_address

Parcel or jibun address if Kakao exposes it.

Column

phone

Visible phone number from the place profile.

Column

reviewer

Reviewer nickname or profile label.

Column

reviewer_link

Kakao reviewer profile link when the source exposes an ID or URL.

Column

reviewer_review_count

Reviewer-level review count when present.

Column

reviewer_average_rating

Reviewer average rating signal if visible or embedded.

Column

reviewer_follower_count

Follower count parsed from review text when available.

Column

review_date

Review date in the visible Kakao format.

Column

rating

Rating attached to the individual review.

Column

review_content

Cleaned review body or diagnostic fallback value.

Column

review_images

One or more review image URLs separated by a pipe.

Headers included - each configured Kakao Place URL appends into one file

Frequently asked questions

Kakao Map reviews may include personal data, copyrighted review text, photos, and platform-protected content. Automated collection can be restricted by Kakao terms, robots rules, privacy law, and local regulations. Keep runs narrow, avoid bypassing CAPTCHA or access controls, and get legal review before resale, republication, monitoring, or AI training use.

Before you run

Practical limits and maintenance notes

Guardrails for reliable Kakao review exports

Rate limits

Use modest batches and clear pacing

Kakao can slow, challenge, or restrict browsing sessions. Keep the included waits, avoid parallel bulk runs, and pause if exports show repeated diagnostic rows or blocked review access.

Layout

Review modules can change

Kakao pages can change labels, endpoints, image handling, and review-card structure. Empty reviewer or date columns usually mean the page layout changed, reviews are private, or the workflow needs maintenance.

Compliance

Treat reviews as sensitive research data

Do not republish review quotes, photos, reviewer profiles, or derived datasets until you have checked Kakao policies, copyright, privacy obligations, and the rights required for your use case.

Download the free template, install the local desktop app from UScraper download, and use this workflow whenever you need to export Kakao reviews into a structured local CSV.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

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