{ "openapi": "3.0.1", "info": { "title": "πŸ“Š Naver DataLab Shopping Insight", "description": "Collect shopping trend data from Naver DataLab API β€” Korea's #1 e-commerce intelligence. Category trends, keyword trends, demographic breakdowns (age, gender, device). 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Get it FREE at https://developers.naver.com β†’ My Application β†’ Register β†’ Select 'DataLab (Shopping Insight)'" }, "naverClientSecret": { "title": "Naver Client Secret", "type": "string", "description": "Your Naver API Client Secret. Found in your application settings at developers.naver.com" }, "queryMode": { "title": "Query Mode", "enum": [ "category", "keyword", "full_analysis", "popular_keywords" ], "type": "string", "description": "Choose what to analyze: 'category' for shopping category trends, 'keyword' for keyword search trends within a category, 'full_analysis' for comprehensive analysis with all breakdowns, 'popular_keywords' for Top 500 trending keywords ranking (no API key needed).", "default": "category" }, "startDate": { "title": "Start Date", "type": "string", "description": "Start date for the analysis period (YYYY-MM-DD). Minimum: 2017-08-01", "default": "2025-01-01" }, "endDate": { "title": "End Date", "type": "string", "description": "End date for the analysis period (YYYY-MM-DD).", "default": "2026-03-29" }, "timeUnit": { "title": "Time Unit", "enum": [ "date", "week", "month" ], "type": "string", "description": "Time granularity for the trend data.", "default": "month" }, "analysisTypes": { "title": "Analysis Types", "type": "array", "description": "Which analyses to run. 'trend' = overall trend, 'device' = PC vs Mobile, 'gender' = Male vs Female, 'age' = age group breakdown.", "items": { "type": "string" }, "default": [ "trend" ] }, "categories": { "title": "Shopping Categories", "type": "array", "description": "Categories to analyze (max 3). Each needs a 'name' and 'param' (category code). Common codes: 50000000=Fashion, 50000002=Beauty, 50000003=Digital, 50000004=Furniture/Interior, 50000006=Food, 50000008=Living/Health. Find codes from Naver Shopping URL cat_id parameter.", "default": [ { "name": "νŒ¨μ…˜μ˜λ₯˜", "param": [ "50000000" ] }, { "name": "ν™”μž₯ν’ˆ/미용", "param": [ "50000002" ] } ] }, "keywordCategory": { "title": "Keyword Category Code", "type": "string", "description": "Category code to search keywords within (used in 'keyword' mode). Example: '50000000' for Fashion.", "default": "50000000" }, "keywords": { "title": "Keywords to Track", "type": "array", "description": "Keywords to analyze within the category (max 5). Each needs a 'name' (display label) and 'param' (array with exactly 1 search term). To compare multiple terms, add them as separate keyword objects.", "default": [ { "name": "μ›ν”ΌμŠ€", "param": [ "μ›ν”ΌμŠ€" ] }, { "name": "λ‹ˆνŠΈ", "param": [ "λ‹ˆνŠΈ" ] } ] }, "device": { "title": "Device Filter", "enum": [ "", "pc", "mo" ], "type": "string", "description": "Filter by device type. Empty = all devices.", "default": "" }, "gender": { "title": "Gender Filter", "enum": [ "", "m", "f" ], "type": "string", "description": "Filter by gender. Empty = all genders.", "default": "" }, "ages": { "title": "Age Group Filter", "type": "array", "description": "Filter by age groups. Empty array = all ages. 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