Skip to main content
Glama
leadbrain

korean-data-mcp

search_naver_places

Find Korean businesses and locations using Naver Map data by entering keywords and location parameters to retrieve detailed place information.

Instructions

Search Naver Map (네이버 지도) places by keyword.

Args: keyword: Place type or name, e.g. '카페', '맛집', 'cafe' location: Location context, e.g. '홍대', '강남역', 'Itaewon' max_places: Maximum number of places to return (default 20, max 100)

Returns: List of place objects with name, category, address, rating, reviewCount, url fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordYes
locationNo
max_placesNo

Implementation Reference

  • The search_naver_places function handles searching Naver Map places by querying an Apify actor and returning a list of place details.
    async def search_naver_places(
        keyword: str,
        location: str = "",
        max_places: int = 20,
    ) -> list[dict]:
        """
        Search Naver Map (네이버 지도) places by keyword.
    
        Args:
            keyword: Place type or name, e.g. '카페', '맛집', 'cafe'
            location: Location context, e.g. '홍대', '강남역', 'Itaewon'
            max_places: Maximum number of places to return (default 20, max 100)
    
        Returns:
            List of place objects with name, category, address, rating, reviewCount, url fields.
        """
        max_places = min(max_places, 100)
        search_query = f"{keyword} {location}".strip()
        return await _run_actor(
            f"{APIFY_ACCOUNT}/naver-place-search",
            {"query": search_query, "maxPlaces": max_places},
        )

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/leadbrain/korean-data-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server