Kakao Scraper (카카오맵) | Map Places, Reviews and Phones (2026)

From SilentFlow. Creators of Pinterest Scraper (#1 for “pinterest pins scraper” in Apify Store search) and Leboncoin Scraper Ppe, with 260,000+ combined lifetime runs.

Turn Kakao Map (카카오맵, formerly Daum Map, 다음지도) into a clean table of South Korean businesses: every cafe, restaurant, clinic, salon, hotel or shop of a neighborhood with its phone number, lot and road address, postal code, coordinates, rating, review and blog counts, opening hours by day, menu with prices, nearest subway station with its walking time, KakaoTalk channel and its latest reviews. Type cafe, keep Gangnam, press Start: 100 places with their hours, menus and reviews in under 30 seconds on our test runs. No Kakao account, no API key, and no Korean needed to ask.

Why choose this actor?

Copying addresses and phone numbers off a Korean map one place at a time? Finding that Google Maps has half the cafes of a Seoul street and none of their menus? Getting a list of names with no hours, no prices and no idea which places people actually like?

• Hours, menu, subway and reviews in the same row as the phone number. Each row has 42 data fields, and on our default run 38 of them were filled on at least half the rows. On 100 Gangnam cafes (6 October 2026): opening hours for all 7 days on 98, a menu on 97 (1,539 items, 1,494 with a price), the nearest subway station with exit number, distance and walking time on all 100, a phone number on 84, a homepage or Instagram on 90, the Kakao AI summary of the place on 97, and recommended reviews with author, rating, date and photos on all 100 (3 each on 99 of them).
• See what visitors praise, not just the star average. Every row carries the Kakao rating, the number of Kakao reviews, the number of blog reviews and reviewHighlights, the count of reviewers who praised the taste, value, kindness, mood or parking. The 100 cafes of the default run add up to 8,349 Kakao reviews and 38,190 blog reviews, and switching to the latest reviews brought back 300 dated reviews for 30 Hongdae and Seongsu restaurants, 10 each, 71 of them posted in the last two weeks.
• Search, paste a link or refresh by ID, in English or Korean. Search terms crossed with locations, Kakao Map links (place pages, search links, map links, kko.to share links) and place IDs mix in one run: 3 links and 2 IDs came back as 24 rows. Terms and places work in English or Korean (cafe in Gangnam, 맛집 in 성수동), and the few English words Kakao Map reads poorly are searched in Korean for you: dentist in Gangnam returned 50 dental clinics (치과).

Try your first place list

Paste this input in the JSON tab, or keep the prefilled form and press Start. It lists the first 100 cafes Kakao Map shows for Gangnam, from 마일스톤커피 in Sinsa-dong to the cafes of Yeoksam-dong, Nonhyeon-dong and Cheongdam-dong, each with its phone, address, rating, opening hours, menu, nearest subway station and up to 3 reviews. It took 27 to 28 seconds on our test runs.

{
    "searchQueries": ["cafe"],
    "locations": ["Gangnam"],
    "maxItems": 100,
    "includeDetails": true,
    "maxReviews": 3,
    "reviewsSort": "recommended"
}

Runs on the Apify Free plan: sign up, open the actor, press Start. Each place lands as one row of the dataset, which you can open as a table, download as CSV, Excel or JSON, or read from the API. Change cafe for any business type or brand (restaurant, hotel, pharmacy, 맛집, 치과, Starbucks) and Gangnam for any Korean city, district or neighborhood (Busan, Jeju, Hongdae, 성수동), and run again. Turn includeDetails off for the search fields only: 500 places then take about 20 seconds.

Copy to your AI assistant

Paste this block into Claude, ChatGPT or Cursor to give it the full picture of this scraper before you ask it to write code or plan a dataset:

You have access to the Kakao Map scraper on Apify: silentflow/kakao-scraper
It reads Kakao Map (카카오맵, map.kakao.com), one of South Korea's two main map apps.
One row = one place (a business, a public service or a landmark in South Korea).

Input (all optional; give at least one of searchQueries / startUrls / placeIds):
- searchQueries (array of strings): what to look for, English or Korean:
  "cafe", "restaurant", "hotel", "맛집", "치과", a brand ("Starbucks") or a full search ("강남 카페").
- locations (array of strings): cities, districts or neighborhoods, English or Korean:
  "Gangnam", "Hongdae", "Busan", "Jeju", "성수동". Each term runs in each location.
  Empty = the terms as typed, ranked around central Seoul.
- maxItems (integer, default 100, max 500): places per search, one search = one term in one location.
  Kakao Map lists 500 places at most for one search.
- startUrls (array of {url}): Kakao Map links. Place: https://place.map.kakao.com/22549791,
  https://map.kakao.com/?itemId=22549791, https://map.kakao.com/link/map/22549791, kko.to share links.
  Search: https://map.kakao.com/?q=강남 카페, https://map.kakao.com/link/search/제주 호텔
- placeIds (array of strings): Kakao Map place ids (digits), e.g. "22549791"
- includeDetails (boolean, default true): adds hours, menu, AI summary, subway, KakaoTalk channel,
  review highlights and reviews to places found by a search. Links and ids always get them.
- maxReviews (integer 0-1000, default 3): reviews per place. Up to 3 recommended reviews come with
  the details; more are read 20 at a time.
- reviewsSort ("recommended" | "latest", default "recommended")

Output per place (42 data fields + 2 run fields, null when Kakao Map has no value):
- id (string, stable Kakao Map place id), url (string, https://place.map.kakao.com/{id}), name (string, as on the map)
- category (string, Korean), categoryPath (string[]), aiSummary (string|null, Kakao's AI summary in Korean),
  tags (string[]|null, place keywords), amenities (string[]|null: parking, reservations, delivery,
  takeout, wifi, pets, wheelchairAccess, nursery, smokingRoom), paymentMethods (string[]|null, e.g. "Kakao Pay"),
  priceLevel (string|null, "₩" to "₩₩₩₩₩"), menu ({name, price (KRW integer|null), isRecommended, imageUrl}[]|null),
  awards (string[]|null)
- phone (string|null), homepage (string|null), homepages (string[]|null),
  kakaoTalkChannelUrl (string|null), kakaoTalkChannelFriends (integer|null)
- rating (number 0-5|null, null when nobody rated), reviewsCount (integer, Kakao reviews),
  blogReviewsCount (integer|null), photosCount (integer|null),
  reviewHighlights ({taste, value, kindness, mood, parking} integers|null)
- address (string, lot address), roadAddress (string|null), postalCode (string|null),
  region (string, e.g. 서울), district (string, e.g. 강남구), neighborhood (string, e.g. 신사동), countryCode ("KR"),
  latitude, longitude (numbers, WGS-84),
  nearestSubwayStation (string|null), subwayExit (string|null), subwayDistanceMeters (integer|null),
  subwayWalkMinutes (integer|null)
- openStatus (string|null at run time: OPEN, CLOSED, CLOSING_SOON, DAY_OFF, ...),
  openingHours ({day, hours "10:00-21:00" | "closed", breaks?, note?}[]|null, Monday first, Korean time),
  closedDays (string|null, Korean), updatedAt (RFC 3339 UTC|null, last update of the place on Kakao Map)
- imageUrl (string|null), images (string[]|null, up to 10 photo links)
- reviews ({id, rating 1-5, text, publishedAt RFC 3339 UTC, author, authorReviewsCount, photosCount, images[], likes}[]|null)
- searchQuery (string|null, the search that found the place), scrapedAt (RFC 3339 UTC)

Use the apify-client package for Python or JavaScript to call it and read the dataset.

How to scrape Kakao Map places, phones and reviews

Three inputs, from the simplest to a combined run. Each one runs as it is.

List the cafes of Gangnam

{
    "searchQueries": ["cafe"],
    "locations": ["Gangnam"],
    "maxItems": 100
}

The default run: 100 cafes with phone, address, rating, hours, menu, subway and up to 3 reviews each, in under 30 seconds on our test runs.

Pull the latest reviews of the restaurants of two neighborhoods

{
    "searchQueries": ["맛집"],
    "locations": ["Hongdae", "성수동"],
    "maxItems": 15,
    "maxReviews": 10,
    "reviewsSort": "latest"
}

맛집 means "good places to eat", the word Korean visitors search with. This run returned 30 restaurants, 15 per neighborhood, each with its 10 most recent reviews: 300 dated reviews in 15 seconds.

Refresh places you already track, from links and IDs

{
    "startUrls": [
        { "url": "https://place.map.kakao.com/22549791" },
        { "url": "https://map.kakao.com/?q=제주 호텔" },
        { "url": "https://map.kakao.com/link/map/268235810" }
    ],
    "placeIds": ["11737334"],
    "maxItems": 20
}

Place links and IDs return their place with every detail; the search link returns its first 20 Jeju hotels. Mix as many as you need in one run.

Input parameters

Field	Type	Default	What it does
searchQueries	array of strings	prefilled cafe	What to look for, in English or Korean: a business type, a brand or a full search like 강남 카페.
locations	array of strings	prefilled Gangnam	Cities, districts or neighborhoods, in English or Korean. Each search term runs in each location.
maxItems	integer	100	Places per search (one term in one location), 500 at most.
startUrls	array of links	none	Kakao Map place links, search links, map links or kko.to share links.
placeIds	array of strings	none	Kakao Map place IDs, the digits at the end of a place link.
includeDetails	boolean	true	Adds hours, menu, AI summary, subway, KakaoTalk channel, review highlights and reviews to places found by a search.
maxReviews	integer	3	Reviews per place, 0 for none, up to 1,000.
reviewsSort	string	recommended	recommended (Kakao's order) or latest (newest first).

No field is required: the form opens on cafe in Gangnam and returns 100 places as it is. Give at least one search term, link or place ID.

Accepted inputs

• Search terms: English (cafe, restaurant, hotel, pharmacy, hair salon, bakery, gym, bank) or Korean (카페, 맛집, 치과, 병원, 미용실). A brand (Starbucks, 스타벅스, GS25) returns its branches. A full search (강남 카페, 제주 호텔) works without any location.
• English words searched in Korean for you: dentist (치과), vet and veterinary (동물병원), korean bbq (고기집), hostel and guesthouse (게스트하우스), jjimjilbang (찜질방), hanok (한옥), pediatrician (소아과), optician (안경점), noraebang (노래방) and a few more. The Korean search is used only when it finds more places than the English one.
• Locations: a city (Seoul, Busan, Incheon, Daegu, Jeju), a district (Gangnam, Mapo, Haeundae, Bundang) or a neighborhood (Hongdae, Itaewon, Seongsu, 성수동, 연남동). About 120 well-known places typed in English (Seongsu, Jamsil, Yeouido, Yeonnam, Seomyeon, Gwangalli, Pangyo, Aewol) are searched by their Korean name, so they land on the right neighborhood: typed as is, Seongsu finds the Seongsu township of Imsil County and Seomyeon the Seo-myeon of Suncheon. Other names are sent as typed, and Korean names always work.
• Place links: https://place.map.kakao.com/22549791, https://map.kakao.com/?itemId=22549791, https://map.kakao.com/link/map/22549791, https://map.kakao.com/link/to/22549791, https://m.map.kakao.com/actions/detailMapView?id=22549791, and kko.to or kko.kakao.com share links from the Kakao Map app.
• Search links: https://map.kakao.com/?q=강남 카페, https://map.kakao.com/link/search/제주 호텔, https://m.map.kakao.com/actions/searchView?q=busan hotel.
• Place IDs: digits only, like 22549791. A place link pasted in this field works too.

A link that points at coordinates rather than a place (/link/map/name,37.5,127.0) cannot be looked up: open the place on the map and copy its link instead. Entries that cannot be read are listed in the log and skipped; the rest of the run goes on.

What data can you extract from Kakao Map?

Each row is one place, with 42 data fields grouped the same way in every row, plus the search that found it and the time it was read. A field Kakao Map has no value for is null, never an empty string.

Group	Fields
Identity	id, url, name
What the place is	category, categoryPath, aiSummary, tags, amenities, paymentMethods, priceLevel, menu, awards
Contact	phone, homepage, homepages, kakaoTalkChannelUrl, kakaoTalkChannelFriends
Ratings and reviews	rating, reviewsCount, blogReviewsCount, photosCount, reviewHighlights, reviews
Address and access	address, roadAddress, postalCode, region, district, neighborhood, countryCode, latitude, longitude, nearestSubwayStation, subwayExit, subwayDistanceMeters, subwayWalkMinutes
Opening	openStatus, openingHours, closedDays, updatedAt
Photos	imageUrl, images
Run	searchQuery, scrapedAt

How full the fields are on the 100 cafes of the default run: id, url, name, category, rating, reviewsCount, photosCount, reviewHighlights, both addresses, coordinates, district, neighborhood, subway station and walking time, blogReviewsCount, openStatus, updatedAt, photos and reviews on all 100; openingHours on 98, menu, aiSummary, amenities and priceLevel on 97, tags on 91, homepage on 90, phone on 84, paymentMethods on 70, kakaoTalkChannelUrl on 46. With includeDetails off, a row keeps 26 fields filled: identity, category, phone, homepage, rating and counts, both addresses, coordinates, amenities, payment methods, tags and photos.

Useful to know when you store the data:

• id is Kakao Map's own place id and url (https://place.map.kakao.com/{id}) is the place's permanent page: both are safe keys for a database or a join with a later run.
• address is the lot address (지번), roadAddress the road-name address (도로명) Korean mail uses, with the floor or unit when the place gives one. latitude and longitude are WGS-84, ready for Google Maps, GIS tools or a distance calculation.
• openingHours lists the 7 days of the week from Monday, in Korean time (KST), with break times when the place has them; a day the place does not open reads closed. openStatus is the status at the moment of the run.
• Names, categories, tags, menus, the AI summary and reviews stay in Korean, as Kakao Map shows them. Amenities and payment methods come with English labels.
• Dates (publishedAt, updatedAt, scrapedAt) are RFC 3339 in UTC.
• Photo links point at Kakao's image servers. They load as long as the photo stays on the place; download the ones you need to keep.

Output example

One complete row from the default run (6 October 2026). The menu, photo and review lists are shortened here; the run returned 24 menu items, 10 photo links and 3 reviews for this place.

{
  "id": "22549791",
  "url": "https://place.map.kakao.com/22549791",
  "name": "마일스톤커피",
  "category": "커피전문점",
  "categoryPath": ["음식점", "카페", "커피전문점"],
  "aiSummary": "빈티지한 인테리어와 아늑한 분위기를 갖추고 있으며, 커피와 디저트의 조화가 뛰어난 곳입니다. 특히 플랫화이트와 비엔나커피가 유명하며, 직원들의 친절한 서비스가 인상적입니다. 다양한 디저트 메뉴도 제공하여 커피와 함께 즐기기에 좋습니다.",
  "tags": ["데이트코스", "로스팅전문", "애견동반카페"],
  "amenities": ["delivery", "takeout", "wifi", "pets"],
  "paymentMethods": ["Kakao Pay", "Zero Pay"],
  "priceLevel": "₩",
  "menu": [
    { "name": "플랫화이트", "price": 5500, "isRecommended": false, "imageUrl": null },
    { "name": "비엔나커피", "price": 6500, "isRecommended": false, "imageUrl": null },
    { "name": "수제 마스카포네 티라미수", "price": 8500, "isRecommended": false, "imageUrl": null }
  ],
  "awards": ["2024 트렌드랭킹 서울 TOP 100"],
  "phone": "070-4219-1195",
  "homepage": "https://www.instagram.com/milestone_coffee/",
  "homepages": ["https://www.instagram.com/milestone_coffee/", "https://www.milestonecoffee.kr/"],
  "kakaoTalkChannelUrl": "https://pf.kakao.com/_qlxjxnG",
  "kakaoTalkChannelFriends": 111,
  "rating": 4.4,
  "reviewsCount": 333,
  "blogReviewsCount": 517,
  "photosCount": 1334,
  "reviewHighlights": { "taste": 116, "value": 18, "kindness": 89, "mood": 69, "parking": 3 },
  "address": "서울 강남구 신사동 554-4 1층",
  "roadAddress": "서울 강남구 논현로159길 49 1층",
  "postalCode": "06033",
  "region": "서울",
  "district": "강남구",
  "neighborhood": "신사동",
  "countryCode": "KR",
  "latitude": 37.52185114542813,
  "longitude": 127.02433040730278,
  "nearestSubwayStation": "압구정역",
  "subwayExit": "4",
  "subwayDistanceMeters": 680,
  "subwayWalkMinutes": 10,
  "openStatus": "CLOSED",
  "openingHours": [
    { "day": "Monday", "hours": "10:00-21:00" },
    { "day": "Tuesday", "hours": "10:00-21:00" },
    { "day": "Wednesday", "hours": "10:00-21:00" },
    { "day": "Thursday", "hours": "10:00-21:00" },
    { "day": "Friday", "hours": "10:00-21:00" },
    { "day": "Saturday", "hours": "10:00-21:00" },
    { "day": "Sunday", "hours": "10:00-21:00" }
  ],
  "closedDays": null,
  "updatedAt": "2026-08-31T21:29:51Z",
  "imageUrl": "https://t1.kakaocdn.net/local/kakaomapPhoto/review/28d3209ff0542f518a473bde0393675cee5f4b03?original",
  "images": [
    "https://t1.kakaocdn.net/local/kakaomapPhoto/review/28d3209ff0542f518a473bde0393675cee5f4b03?original",
    "https://t1.kakaocdn.net/local/kakaomapPhoto/review/116fdf13145f43713d760228abe464c6d849d301?original",
    "https://t1.kakaocdn.net/local/kakaomapPhoto/review/1b3951403abcd23c4dd1a6e8db8f28779db9c3e7?original"
  ],
  "reviews": [
    {
      "id": "15237412",
      "rating": 5,
      "text": "인생 아인슈페너\n크림과 커피의 조화가 깜짝 놀랐습니다",
      "publishedAt": "2026-04-11T05:11:50Z",
      "author": "짜루의 짜슐랭가이드",
      "authorReviewsCount": 220,
      "photosCount": 2,
      "images": ["https://t1.kakaocdn.net/local/kakaomapPhoto/review/1b3951403abcd23c4dd1a6e8db8f28779db9c3e7?original"],
      "likes": 0
    }
  ],
  "searchQuery": "Gangnam cafe",
  "scrapedAt": "2026-10-06T12:39:42Z"
}

The dataset also opens in five ready-made views: Places (name, category, district, address, phone, rating, reviews, link), Contacts (phone, homepage, KakaoTalk channel, road address), Ratings and reviews, Location (both addresses, postal code, coordinates, subway station and walk) and Hours, menu and amenities.

Advanced usage

Five recipes for the jobs teams run most. Each input runs as it is.

Build a lead list of clinics across Seoul's business districts

{
    "searchQueries": ["dentist", "dermatology", "plastic surgery"],
    "locations": ["Gangnam", "Jamsil", "Yeouido", "Jongno"],
    "maxItems": 100,
    "maxReviews": 0
}

12 searches, each term in each district, up to 100 clinics per search with phone, homepage, KakaoTalk channel, road address and opening hours. Smaller districts list fewer: Yeouido has a handful of plastic surgeons, Gangnam hundreds. maxReviews: 0 keeps the rows lean when you only need contacts; a clinic found by two searches is saved once.

Map every branch of a brand in a city

{
    "searchQueries": ["스타벅스"],
    "locations": ["Busan"],
    "maxItems": 500,
    "includeDetails": false
}

Every branch Kakao Map lists for the city (190 Starbucks in Busan on 6 October 2026), with road address, postal code, coordinates and phone, ready to drop on a map or compare with a competitor's network. With the details off a search takes seconds (500 places took 19 seconds on our test run); turn them on to add opening hours and the nearest subway station.

Follow what visitors say about your venues, every week

{
    "placeIds": ["22549791", "268235810", "11737334"],
    "maxReviews": 40,
    "reviewsSort": "latest"
}

Save this input as a task and schedule it weekly: each run returns your places with their current rating, review counts, reviewHighlights and the 40 newest reviews, each with its publishedAt date. Keep the reviews newer than your last run to see only what changed.

Go past 500 places by splitting a city into neighborhoods

{
    "searchQueries": ["카페"],
    "locations": ["신사동", "논현동", "역삼동", "삼성동", "청담동", "대치동", "도곡동", "개포동"],
    "maxItems": 500,
    "includeDetails": false
}

Kakao Map lists 500 places at most for one search. Eight neighborhood searches cover a district far deeper than one district-wide search, and a place found twice is saved once.

Turn a search link from the map into rows

{
    "startUrls": [
        { "url": "https://map.kakao.com/?q=제주 호텔" },
        { "url": "https://map.kakao.com/link/search/해운대 맛집" }
    ],
    "maxItems": 50,
    "maxReviews": 5
}

Run a search on map.kakao.com, copy the address bar, paste it here: the same results come back as a table, with hours, menu, subway and 5 recommended reviews per place.

FAQ

What is Kakao Map? Kakao Map (카카오맵) is the map service of Kakao, the company behind KakaoTalk, and it replaced Daum Map (다음지도). With Naver Map it is one of the two map apps Koreans use every day, and many Korean businesses keep their hours, menus, phone numbers and photos up to date there. This actor reads the public place pages of map.kakao.com.

Do I need to read Korean to use it? No. Search terms and locations work in English (cafe in Gangnam, hotel in Jeju), and the few English words Kakao Map reads poorly are searched in Korean for you. Field names, amenities and payment methods are in English. Place names, categories, menus, the AI summary and reviews stay in Korean, as Kakao Map shows them, so a translation step or a Korean-reading model fits well after the run.

Do I need a Kakao account or an API key? No. The actor reads what any visitor of Kakao Map sees, without logging in and without a developer key.

How many places can I get? One search, a term in a location, returns up to 500 places: that is the most Kakao Map lists for one search. Add locations or terms to go further: each term runs in each location, and a place found by several searches is saved once. Place links and IDs have no limit: each returns its place.

Can I get every review of a place? Up to 1,000 per place, with maxReviews. Choose recommended for Kakao's own order or latest for the newest first. Each review has its rating out of 5, text, date, author name as Kakao Map shows it, the author's review count, likes and photo links. reviewsCount tells you how many Kakao reviews the place has in total, and blogReviewsCount how many blog posts write about it.

What does reviewHighlights mean? When they review a place, Kakao Map users can tick what they liked: taste (맛), value for money (가성비), kindness (친절), mood (분위기) or parking (주차). reviewHighlights counts each one. A cafe with "taste": 116, "kindness": 89 is praised for its coffee and its staff far more than for its parking.

Why are some fields empty on some places? Not every place lists everything. On the 100 Gangnam cafes of the default run, 84 had a phone number, 90 a homepage or Instagram, 46 a KakaoTalk channel and 17 a note on closing days. A place nobody rated has a rating of null and a reviewsCount of 0, and a clinic has no menu. Empty values are null, never an empty string, so they filter cleanly.

How fresh is the data? Every run reads Kakao Map live, at the time of the run, with no cache. updatedAt tells you when the place's own information was last updated on Kakao Map, openStatus whether it was open at the moment of the run, and scrapedAt when the row was read.

Can I combine search terms, locations and options? Yes. Every term runs in every location, and links and place IDs can sit next to them in the same run. For example "searchQueries": ["카페", "bakery"] with "locations": ["Seongsu", "Yeonnam"], "maxReviews": 10 and "reviewsSort": "latest" returns the cafes and bakeries of both neighborhoods with their 10 newest reviews each.

Are the links in the data permanent? url and id are permanent: they point at the place for as long as it exists on Kakao Map. Homepage and KakaoTalk links are the ones the place publishes. Photo links point at Kakao's image servers and load as long as the photo stays on the place; download the photos you want to keep.

How do I export the results? Open the dataset as a table, or download it as CSV, Excel, JSON or XML from the run page. From code, read https://api.apify.com/v2/datasets/{DATASET_ID}/items?format=csv with your API token, or use the apify-client package for Python or JavaScript. Integrations send the rows to Google Sheets, Make, Zapier or a webhook after every run.

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• Udemy Course - Udemy Course Scraper
• ImportYeti - US Customs Records, Suppliers & Trade Data - ImportYeti Scraper - US Customs Records, Suppliers & Trade Data
• Bring a Trailer - Bring a Trailer Scraper
• Store Leads - Store Leads Scraper | Shopify Data
• Naver - Naver Products Scraper | Shopping Prices, Sellers and Ratings
• Naver - Naver Scraper | Shopping Products, Prices and Reviews
• Taobao - Taobao Scraper | Products, Prices and Sellers
• Vinted Marketplace - Vinted Marketplace Scraper
• Walmart - Walmart Product Scraper
• Agoda - Agoda Scraper | Hotel Prices and Guest Ratings
• Alibaba - Alibaba Products Scraper | Wholesale Prices and MOQ
• AliExpress - AliExpress Reviews Scraper | Feedback, Ratings and Photos
• AliExpress - AliExpress Scraper | Products, Prices and Sales
• Allegro - Allegro Scraper | Products, Prices and Sellers
• Amazon Seller - Amazon Seller Scraper | Emails, Phones and Ratings
• CARFAX - CARFAX Scraper | Used Cars, Prices and History
• Coupang - Coupang Detail Scraper | Product Prices and Options
• Ctrip - Ctrip Scraper | Attractions, Tickets and Reviews
• Europages - Europages Scraper | Suppliers and B2B Companies
• Google Hotels - Google Hotels Scraper | Prices, Offers and Ratings
• Homedepot - Homedepot Reviews Scraper | Customer Reviews and Ratings
• JD - JD Products Scraper | Prices, Brands and Barcodes
• Lowes - Lowes Products Scraper | Prices, Stock and Specs
• Mobile.de - Mobile.de Scraper
• Naver - Naver Reviews Scraper | Shopping Product Reviews
• Alibaba - Alibaba Scraper | Products, Prices and Suppliers
• Amazon Marketplace - Amazon Marketplace Scraper
• AutoScout24 - AutoScout24 Scraper
• Avito - Avito Scraper | Listings, Prices and Sellers
• eBay Listings - eBay Listings Scraper
• Mercari - Mercari Scraper | Listings, Sold Prices and Sellers
• Trip - Trip Scraper | Hotels, Prices and Reviews

💼 Jobs

• ZipRecruiter - ZipRecruiter Jobs Scraper | Salary, Company & Location Filters
• Indeed - Indeed Company Reviews Scraper
• Multi Board - Multi Board Job Scraper
• Glassdoor Job Listings - Glassdoor Job Listings Scraper
• LinkedIn Job Search - LinkedIn Job Search Scraper | Salaries & Seniority
• ATS - ATS Jobs Scraper | Greenhouse, Lever and Ashby
• 🔥 Glassdoor - 🔥 Glassdoor Scraper
• Indeed Jobs Ppr - Indeed Jobs Scraper Ppr
• Malt - Malt Scraper | Freelance Profiles
• Welcome to the Jungle - Welcome to the Jungle Job Scraper
• Arbeitsagentur - Arbeitsagentur Jobs Scraper
• Dice Tech - Dice Tech Jobs Scraper
• Jora - Jora Jobs Scraper
• Naukri & NaukriGulf - Naukri & NaukriGulf Jobs Scraper
• Seek - Seek Job Scraper
• StepStone - StepStone Scraper

🏠 Real estate

• SeLoger - SeLoger Scraper | Real Estate Listings
• Realtor Rental Listings - Realtor Rental Listings Scraper
• Zillow - Zillow Scraper
• Airbnb Pro Host Contact & - Airbnb Pro Host Contact & Email Scraper
• Bien'ici - Bien'ici Scraper | Property Listings
• Rightmove - Rightmove Scraper
• Trulia Rental Listings - Trulia Rental Listings Scraper
• Airbnb Search - Airbnb Search Scraper
• Anjuke - Anjuke Scraper | Rental Listings, Prices and Agents
• Idealista - Idealista Scraper
• Realestate.com.au - Realestate.com.au Scraper

📣 Social media

• LinkedIn Post Search - LinkedIn Post Search Scraper | Keywords, Hashtags & Profiles
• Facebook Search - Facebook Search Scraper
• LinkedIn Leads - LinkedIn Leads Scraper | Sales Navigator Export
• OnlyFans - OnlyFans Profile Scraper
• Instagram Engagement - Instagram Engagement Scraper
• Instagram - Instagram Story Scraper | Stories & Highlights
• TikTok - TikTok Scraper
• Meta Ad Library - Meta Ad Library Scraper
• YouTube - YouTube Channel Scraper | Videos, Shorts and Views
• Skool Community - Skool Community Scraper
• Facebook Search - Facebook Search Profiles Scraper | People by Name or Keyword
• Kuaishou - Kuaishou Scraper | Videos, Comments and Creator Stats
• Reddit - Posts, Comments, Communities & - Reddit Scraper - Posts, Comments, Communities & Users
• Snapchat - Snapchat Ads Scraper | Ad Library, Impressions & Targeting
• TikTok Trend - TikTok Trend Scraper | Trending Hashtags and Videos
• Weibo - Weibo Scraper | Posts, Profiles and Engagement
• Bilibili - Bilibili Scraper
• Discord - Discord Scraper | Servers, Member Counts and Invites
• Facebook Business Page - Facebook Business Page Scraper
• Kwai - Kwai Scraper | Videos, Creators and Hashtags
• YouTube - YouTube Transcript Scraper

🏢 Business data

• LinkedIn People Search - LinkedIn People Search Scraper | Profiles & Companies
• Company Data - Company Data Scraper | Emails, Phones and Tech Stack
• ForexFactory - ForexFactory Scraper | Economic Calendar and Forecasts
• Justdial - Justdial Companies Scraper | Business Leads, Phones and Emails
• OpenTable - OpenTable Reviews Scraper | Restaurant Reviews and Ratings
• Tencent - Tencent Scraper | Maps Places, Phones and Ratings
• Teachable - Courses, Prices & Instructors - Teachable Scraper - Courses, Prices & Instructors
• Trustpilot - Trustpilot Enricher
• Website Tech Stack - Website Tech Stack Scraper

✈️ Travel

• Google Maps - Google Maps Scraper
• Booking.com Hotel - Booking.com Hotel Scraper
• Flight Price - Flight Price Scraper
• Trip - Trip Reviews Scraper | Hotel Reviews and Ratings

🎯 Lead generation

• Northdata - Northdata Company Scraper
• Dealroom - Dealroom Scraper | Companies and Investors
• ZocDoc - Pay Per Result - ZocDoc Scraper - Pay Per Result
• SIRET - SIRET Company Enricher
• UK Companies House - UK Companies House Enricher
• Google Ads Transparency - Google Ads Transparency Scraper
• BuiltWith - BuiltWith Scraper | Tech Stacks and Top Sites
• CNPJ Brazilian - CNPJ Brazilian Company Enricher
• Domain - Domain Enricher
• French Company Prospector - French Company Prospector
• SEC - SEC Scraper | EDGAR Filings and Company Data
• ThomasNet Suppliers - ThomasNet Suppliers Scraper
• USPTO - USPTO Scraper | Trademark Search and Status
• Clutch Agency - Clutch Agency Scraper
• G2 - G2 Reviews Scraper
• PagesJaunes - PagesJaunes Business Scraper

🔎 SEO

• Similarweb - Similarweb Scraper | Website Traffic, Rankings and Competitors
• Google News - Google News Scraper
• Apple - Apple Scraper | App Store Apps, Ratings and Charts

📈 Marketing

• Pexels - Pexels Scraper | Photos, Videos and Download Stats

🧰 More tools

• Apple - Apple Reviews Scraper | App Store Reviews and Ratings

Support

Need something this scraper doesn't do yet? We ship features fast.

• Feature requests go straight to our backlog
• Enterprise needs? We do custom integrations and high-volume plans
• Pricing questions? Check the Monetization tab on the actor page

Response time: usually under 24 hours.

Legal compliance

This Actor extracts publicly available data from Kakao Map (카카오맵). It does not bypass any login, paywall or CAPTCHA. Users are responsible for complying with Kakao's terms of service and applicable data protection laws (GDPR in the European Union, CCPA in California, PIPL in China and South Korea's Personal Information Protection Act where relevant). Rows describe businesses and public places; some phone numbers listed by small businesses are personal mobile numbers, and reviews carry the author name Kakao Map shows, so handle them as personal data when you contact or store them, and respect Korea's rules on unsolicited marketing messages. The data returned is informational: phone numbers, hours and prices change, so verify them before a regulated use.

Kakao Scraper by SilentFlow: every place of a Korean neighborhood, with its phone, hours, menu, subway access and reviews, in one table.