mcpField
K
Korea Local Data: Naver Map & Kakao Map

Korea Local Data: Naver Map & Kakao Map

Remote
apify.comMaps & Travel0Updated 2d ago

About Korea Local Data: Naver Map & Kakao Map

An Apify-backed data project for developers and AI agents working with Korean local and shopping data. It provides Actors for Naver Map and Kakao Map searches and reviews, alongside commerce rankings.

Key features

  1. 01Search Naver Map and Kakao Map places
  2. 02Retrieve Naver Map visitor reviews
  3. 03Track Naver Shopping product ranks
  4. 04Read Olive Young and Daiso rankings
  5. 05Access data through Apify Actors

Use cases

  1. 01Find businesses by Korean area and category
  2. 02Review ratings and visitor comments for a place
  3. 03Track ranked products and prices
  4. 04Build AI workflows around Korean local data

MCP support

The project lists korea-local-data-mcp for Naver Map and Kakao Map tools, and korea-commerce-mcp for shopping and retail data. These MCP servers provide tools for Claude and other MCP clients.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://magenta-courser--korea-local-data-mcp.apify.actor/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://magenta-courser--korea-local-data-mcp.apify.actor/mcpAuth required

Tools

Details

From the project README

Korean local & e-commerce data for developers and AI agents

Examples for getting live data from Naver Map, Kakao Map, Naver Shopping and Olive Young through Apify Actors. No Naver or Kakao login or API key is needed, only an Apify API token.

DataActorInput → Output
Naver Map placesnaver-place-search-scraperKeyword → businesses with address, phone, coordinates, rating, review counts
Naver Map reviewsnaver-place-reviews-scraperPlace ID or URL → visitor reviews with rating, text, date, keywords, owner reply
Kakao Map placeskakaomap-place-search-scraperKeyword → businesses, same field names as the Naver Actor
Naver Shopping ranksnaver-shopping-rank-trackerKeyword → ranked products with price, store, reviews
Olive Young best sellersoliveyoung-ranking-scraperMarket and category → Top 100 ranking with price and rank change
Daiso Korea best sellersdaiso-ranking-scraperCategory → ranked products with price
MCP server, local datakorea-local-data-mcpNaver Map and Kakao Map tools for Claude and other MCP clients
MCP server, commercekorea-commerce-mcpNaver Shopping, Daiso, Olive Young and Ohouse tools

Quick start (curl)

One HTTP call runs an Actor and returns the results as JSON:

curl -X POST "https://api.apify.com/v2/acts/magenta_courser~naver-place-search-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries": ["성수 카페"], "maxPlacesPerQuery": 20}'

성수 카페 means "Seongsu cafes". Korean keywords that combine an area and a category work best.

Examples

Why not Google Maps?

Google Maps has limited coverage in South Korea. People there use Naver Map and Kakao Map to find, rate and review businesses, so listings, ratings and reviews are far more complete on those two services.

Notes

  • The Actors read publicly visible data only and do not log in. Reviewer names and profiles are not collected.
  • Names, addresses and review text are returned in Korean.
  • You pay Apify per result; see each Actor's page for the current price.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.