Skip to main content
Glama
Sign In
enesjakozh

Naver Search MCP Server

by isnow890
Verified
GitHub
TypeScript
MIT License
1
  • Linux
  • Apple
RedditDiscord
OverviewInspectNewSchemaRelated ServersReviewsScore
Need Help?View Source CodeReport Issue

datalab_shopping_by_gender

Analyze Naver Shopping trends by gender to identify consumer preferences. Input category, time range, and gender for detailed insights.

Instructions

Perform a trend analysis on Naver Shopping by gender. (네이버 쇼핑 성별 트렌드 분석)

Input Schema

NameRequiredDescriptionDefault
categoryYesCategory code
endDateYesEnd date (yyyy-mm-dd)
genderYesGender
startDateYesStart date (yyyy-mm-dd)
timeUnitYesTime unit

Input Schema (JSON Schema)

{ "$schema": "http://json-schema.org/draft-07/schema#", "additionalProperties": false, "properties": { "category": { "description": "Category code", "type": "string" }, "endDate": { "description": "End date (yyyy-mm-dd)", "type": "string" }, "gender": { "description": "Gender", "enum": [ "f", "m" ], "type": "string" }, "startDate": { "description": "Start date (yyyy-mm-dd)", "type": "string" }, "timeUnit": { "description": "Time unit", "enum": [ "date", "week", "month" ], "type": "string" } }, "required": [ "startDate", "endDate", "timeUnit", "category", "gender" ], "type": "object" }

You must be authenticated.

Other Tools from Naver Search MCP Server

Related Tools

ID: kpv7kdyboo