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Kakao Map Scraper — Korea Local Businesses, Ratings & Reviews

Extract South Korean local business data from Kakao Map at scale. Search any area and category — cafés, restaurants, salons, hospitals, hotels, shops — and export clean, structured data: name, category, phone, address, GPS, rating, review count and review text, business hours, amenities, homepage and photos.

No login. No API key. Just give it a Korean search term and get back a ready-to-use dataset in JSON, CSV, Excel, or via API.

Built for local-SEO and lead-gen agencies, market researchers, and anyone who needs Korean local business data in bulk. The perfect companion to a Naver Place scraper for full Korean local coverage.

🧭 Table of contents

• What this scraper does
• Why use it
• Who it's for
• What data you get
• Input options
• Input examples
• Output example
• How to use (step by step)
• Tips for best results
• Use cases
• Integrations & export
• Pricing
• FAQ

What this scraper does

Kakao Map is one of South Korea's most-used map and local-discovery platforms. This actor turns its place listings into structured data you can analyze.

Give it natural Korean search terms that combine an area and a category or keyword — for example 강남 카페 (Gangnam cafés), 역삼동 미용실 (Yeoksam salons), or 제주 맛집 (Jeju restaurants). The actor searches, paginates through the results, and returns a rich record for every place — optionally enriched with business hours, recent reviews, homepage/social links, and facilities.

Why use it

• ⚡ Fast & efficient — pulls structured data directly, no slow browser rendering.
• 🇰🇷 Korea-native — understands Korean categories, addresses (jibun and road), and place types.
• ⭐ Ratings & reviews — average rating, review count, and recent review text per place.
• 📞 Contact & web — phone numbers and homepage/social links for outreach and lead generation.
• 🕒 Business hours & amenities — opening hours plus parking, wifi, pet, delivery, and more.
• 🗺️ Geo-ready — every place includes latitude/longitude for mapping and spatial analysis.
• 📦 Export anywhere — JSON, CSV, Excel, HTML table, or RSS, plus a full REST API and integrations.

Who it's for

• Local-SEO & marketing agencies building business lists by city and category.
• Lead-generation teams that want phone numbers, homepages, and social links at scale.
• Market researchers analyzing categories, ratings, and competition across Korean districts.
• Franchises & retailers monitoring competitors and locations.
• Data & AI teams that need fresh, structured Korean local data.

What data you get

Each place includes (when available):

Input options

Input examples

1. Cafés in an area

{
"searchQueries":["강남 카페"],
"includeDetails":true,
"maxItems":200
}

2. Multiple areas and categories

{
"searchQueries":["역삼동 미용실","홍대 술집","제주 맛집"],
"includeDetails":true,
"maxReviewsPerPlace":10,
"maxItems":1000,
"proxyConfiguration":{"useApifyProxy":true}
}

3. Fast list without details

{
"searchQueries":["부산 호텔"],
"includeDetails":false,
"maxItems":500
}

Output example

{
"placeId":"1466542951",
"name":"셀렉티드닉스",
"placeUrl":"https://place.map.kakao.com/1466542951",
"category":"카페",
"categoryPath":"음식점 > 카페",
"phone":"070-5176-7947",
"address":"서울 강남구 역삼동 827-13",
"roadAddress":"서울 강남구 강남대로 ...",
"lat":37.49622235,
"lon":127.03083799,
"ratingAverage":4.0,
"reviewCount":264,
"homepage":"https://www.instagram.com/sltdnicks",
"amenities":{"parking":true,"wifi":false,"pet":false,"delivery":false},
"businessHoursStatus":"영업 중",
"businessHours":"주중 17:00~24:00",
"reviews":[
{"rating":5,"text":"공간이 넓고 좌석이 많아서 편하게 이용했어요...","photoCount":1,"date":"2026-05-20"}
],
"scrapedAt":"2026-06-09T10:00:00.000Z"
}

How to use (step by step)

1. Open the actor and click Try for free.
2. In Search queries, add Korean terms that combine an area and a category, e.g. 강남 카페.
3. Toggle Include details for hours, reviews, and homepage links.
4. Set Max items to control dataset size.
5. Click Save & Start.
6. When the run finishes, open the Dataset tab and export to JSON, CSV, or Excel, or pull it via API.

Tips for best results

• Write queries in Korean. Combine an area with a category — 강남 카페, 제주 맛집, 역삼동 병원.
• Be specific. A neighborhood (동) + category yields tighter, more relevant results than a whole city.
• Details cost extra requests. Disable includeDetails for the fastest, cheapest runs when you only need core listing data.
• Use a proxy for large runs to keep throughput stable.
• Pair with a Naver Place scraper for complete Korean local coverage across both major platforms.

Use cases

• 🧲 Lead generation — build contact lists (phone, homepage, social) of businesses by category and area.
• 📊 Market & competitor research — analyze ratings, review counts, and density across districts.
• 📍 Local SEO — audit listings and categories for clients across Korea.
• 🍴 F&B and retail intelligence — track cafés, restaurants, and shops by neighborhood.
• 🤖 AI & data products — feed fresh, structured Korean local data into apps and assistants.

Integrations & export

Export as JSON, CSV, Excel, HTML table, or RSS, or fetch results through the API. Connect to Make, Zapier, n8n, Google Sheets, Slack, GitHub, and more, or schedule runs to keep your dataset fresh.

Pricing

This actor runs on a simple pay-per-result model — you only pay for the places you collect. Start small with the free tier and scale up as needed.

FAQ

What should I type as a search query? Korean terms that combine an area and a category or keyword, such as 강남 카페, 역삼동 미용실, or 제주 맛집.

Do I get reviews? Yes — with details enabled, each place includes its average rating, review count, and recent review text.

Do I need an account or key? No login or API key is required.

Can I get phone numbers and websites? Yes — phone numbers and homepage/social links are included, making this ideal for lead generation.

How many places can I scrape? As many as your queries return — set maxItems to 0 for no limit.

Does it work alongside a Naver Place scraper? Absolutely — Kakao Map and Naver Place together give you complete coverage of Korean local businesses.

Why are some fields empty? Not every place exposes every field (e.g. homepage or some amenities). Core fields like name, category, address, and coordinates are almost always present.

Need another Korean data source or a custom field? Open an issue on the actor's Issues tab — feedback and feature requests are welcome.