Local SEO teams
Branch audits
Export Kakao Place reviews for owned locations, then compare review volume, rating patterns, recent complaints, and photo usage across branches.
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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.
CSV
17
Place URLs
Up to 60
Free
At a glance
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
Local SEO teams
Branch audits
Export Kakao Place reviews for owned locations, then compare review volume, rating patterns, recent complaints, and photo usage across branches.
Market researchers
Competitor scans
Collect comparable review rows from selected restaurants, hospitals, hotels, salons, or shops before coding themes in a spreadsheet.
Agencies
Korean reputation reports
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
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.
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.
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.
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
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_name | category | overall_rating | review_count | reviewer | review_date | rating | review_content | review_images |
|---|---|---|---|---|---|---|---|---|
| Seoul Coffee Lab | Cafe | 4.4 | 183 | reviewlog | 2026.5.21 | 5 | Quiet table, fast service, and strong iced latte. | https://example.com/review-1.jpg |
| Seoul Coffee Lab | Cafe | 4.4 | 183 | minseo | 2026.5.18 | 4 | Good drinks, but the evening queue was long. | |
| Busan Grill House | Korean restaurant | 4.6 | 421 | foodnote | 2026.4.30 | 5 | Friendly staff and generous portions for lunch. | https://example.com/review-2.jpg |
kakao-map-review-scraper.csvColumn
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.
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
Guardrails for reliable Kakao review exports
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.
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.
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.
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