基于Keepa数据的亚马逊高级商品搜索与筛选，支持品类、价格、月销量、关键词、BSR排名、评论数、评分、包装尺寸、重量、配送方式等多维度条件。当用户提到Keepa选品、亚马逊商品查找、高级选品、BSR筛选、按销售排名选品、月销量过滤、关键词选品、品类选品、竞品筛选、小众商品发掘、历史排名筛选、Keepa product selection, advanced product selection, BSR filtering, sales filtering, category search, competitor screening, historical data filtering, Am

Keepa Product Search This skill guides you on how to search and filter Amazon products using Keepa's extensive product database, helping Amazon sellers find products that match specific criteria across multiple dimensions. Core Concepts This tool provides advanced Amazon product search powered by Keepa data. Unlike a simple Amazon storefront search, it supports multi criteria filtering: category, price range, monthly sales volume, BSR (Best Sellers Rank), keyword matching (positive and negative), review counts, ratings, package dimensions, weight, fulfillment type, historical sales rank, and more. It returns detailed product data including pricing, titles, images, listing dates, materials, weights, monthly sales for the past 12 months, and more. BSR (Best Sellers Rank) : A lower salesRank value means better sales performance. Rank 1 is the best selling product in its category. When a user says "top selling products", they want low BSR values. Price unit : Prices are expressed in the smallest currency unit (e.g., cents for USD). So $25.99 = 2599 . Always convert when building queries and when displaying results. Category names : The categoriesIncludeNames parameter supports multi level category paths separated by a colon : or the character. Automatically convert user input into the correct format. Parameters Marketplace (Required) Parameter Type Required Description Default domain string Yes Amazon marketplace ID Domain ID mapping: ID Marketplace 1 Amazon.com (United States) 2 Amazon.co.uk (United Kingdom) 3 Amazon.de (Germany) 4 Amazon.fr (France) 5 Amazon.co.jp (Japan) 6 Amazon.ca (Canada) 8 Amazon.it (Italy) 9 Amazon.es (Spain) 10 Amazon.in (India) 11 Amazon.com.mx (Mexico) Default marketplace is 1 (US). Use domain 1 when the user doesn't specify a marketplace. Keyword Filtering Parameter Type Description keyword string Title keyword filter (case insensitive; space = AND; wrap phrases in double quotes; prefix with to exclude; & is replaced by space; max 50 keywords, max 1000 chars) Category Filtering Parameter Type Description rootCategory array[int] Root category IDs (max 50) rootCategoryNames array[string] Root category names (max 50); used when rootCategory is empty; system auto resolves IDs categoriesInclude array[int] Sub category IDs to include (max 50) categoriesIncludeNames array[string] Sub category names to include (max 50); supports full category paths with : or separators categoriesExclude array[int] Sub category IDs to exclude (max 50) categoriesExcludeNames array[string] Sub category names to exclude (max 50); supports full category paths Sales & Ranking Filters Parameter Type Description currentSalesGte integer Current BSR minimum (higher number = worse rank) currentSalesLte integer Current BSR maximum (lower number = better rank) avg90SalesGte integer 90 day average BSR minimum avg90SalesLte integer 90 day average BSR maximum deltaPercent90SalesGte integer 90 day BSR change percentage minimum deltaPercent90SalesLte integer 90 day BSR change percentage maximum monthlySoldGte integer Monthly sales units minimum monthlySoldLte integer Monthly sales units maximum srAvgGte integer Historical average BSR minimum (for a specific month) srAvgLte integer Historical average BSR maximum (for a specific month) srAvgMonth string Historical BSR month selection (format: YYYYMM, within last 36 months) Price Filters Parameter Type Description currentNewGte integer Current new price minimum (smallest currency unit) currentNewLte integer Current new price maximum (smallest currency unit) currentBuyBoxShippingGte integer Current Buy Box price including shipping minimum (smallest currency unit) currentBuyBoxShippingLte integer Current Buy Box price including shipping maximum (smallest currency unit) Review & Rating Filters Parameter Type Description currentCountReviewsGte integer Review count minimum currentCountReviewsLte integer Review count maximum currentRatingGte number Rating minimum (0.0 5.0) currentRatingLte number Rating maximum (0.0 5.0) Package & Dimensions Filters Parameter Type Description packageLengthGte / packageLengthLte integer Package length range (mm) packageWidthGte / packageWidthLte integer Package width range (mm) packageHeightGte / packageHeightLte integer Package height range (mm) packageWeightGte / packageWeightLte integer Package weight range (grams) Other Filters Parameter Type Description brand array[string] Brand names (OR match) color array[string] Colors (OR match) size array[string] Sizes (OR match) availableDateGte / availableDateLte string Listing date range (yyyy MM dd) buyBoxIsAmazon boolean Buy Box seller is Amazon buyBoxIsFBA boolean Buy Box is FBA fulfilled isHazMat boolean Hazardous material flag variationCountGte / variationCountLte integer Variation count range currentCountNewGte / currentCountNewLte integer Number of new offers range outOfStockPercentage90Gte / outOfStockPercentage90Lte integer 90 day out of stock percentage range singleVariation boolean Return only one variation per parent ASIN productType array[int] Product types: 0=standard, 1=downloadable, 2=ebook, 5=variation parent Data Options Parameter Type Description Default history integer Include historical data (price history, sales rank, monthly sales per month) 0 (no) rating integer Include rating info 1 (yes) Pagination & Sorting Parameter Type Description Default page integer Page number (starting from 1) 1 perPage integer Results per page (min 50, max 100) 50 sort array[object] Sort rules (max 3); each object: {"fieldName": "...", "sortDirection": "asc desc"} Sortable fields : availableDate , currentSales , monthlySold , currentRating , currentCountReviews , currentBuyBoxShipping , currentNew 调用方式 API 端点： POST /keepa/productSearch （完整参数/响应/错误码见 references/api.md ） Python 脚本： python scripts/keepa product search.py '<JSON 参数 ' [ inline] 成本约束：本工具会消耗积分；同一会话同一参数组合默认只调用一次，脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探；需要继续检索时先向用户说明会产生额外消耗。输出策略（脚本默认行为）：始终将完整响应写入 <cwd /linkfox/<YYYY MM DD /<session /data/linkfox keepa product search <timestamp .json （ <cwd 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录； <session 取自环境变量 SESSION ID ，按用户任务自动聚合；禁止写入 /tmp ，当前目录不可写则报错）响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout 响应体 8 KB：落盘后 stdout 只输出摘要（顶层字段、常见计数如 total / costToken 、最大列表字段的长度 + 前 3 条样本）加 inline 强制全量打印到 stdout（同样落盘）读数据建议：先看摘要判断是否足够；需要具体字段时优先用 jq 或 ConvertFrom Json 从保存的 json 文件按需抽取，避免整份 JSON 进入上下文。解决认证和积分问题发生以下异常情况时，采用 references/onboarding.md 引导解决问题：异常情况未配置API Key ：环境变量未配置 LINKFOX AGENT API KEY ，也未配置 LINKFOXAGENT API KEY 。响应401或402状态码响应提示积分或余额不足：消息含"积分余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值"，或类似含义的内容。 How to Build Queries Construct the request parameters based on the user's intent: 1. Determine the marketplace : Map the user's target country to the correct domain ID value 2. Set keyword filters : Use keyword for title based filtering with positive and negative terms 3. Set category scope : Use categoriesIncludeNames or rootCategoryNames to scope by category; convert user input into proper category path format 4. Apply numeric filters : Map sales volume, price, BSR, review, and rating requirements to the appropriate Gte/Lte parameters 5. Set sort order : If the user wants results sorted by sales, price, or rating, configure the sort array 6. Enable historical data : Set history to 1 if the user needs monthly sales trends or price history Usage Examples 1. Search for electronics with monthly sales over 1000 on US marketplace 2. Find products in a price range with good ratings 3. New products listed in the last 6 months with low review counts 4. BSR rank filtering for competitive analysis 5. Find non Amazon FBA products with good sales 6. Lightweight small products for easy shipping 7. Search on Japan marketplace with historical data 8. Brand specific search excluding hazardous materials Display Rules 1. Present data clearly : Show search results in well structured tables with key fields: ASIN, title, price, BSR, monthly sales, rating, review count, brand 2. Price conversion : Convert prices from smallest currency unit to standard format (e.g., 2599 $25.99) 3. BSR clarification : When showing BSR data, remind users that lower values mean better sales ranking 4. Monthly sales history : When historical data is included, present the 12 month sales trend clearly 5. Pagination notice : Inform users of the total result count and suggest fetching additional pages if needed 6. Image links : If image URLs are available, mention them but do not attempt to render them inline unless the user requests it 7. Error handling : When a query fails, explain the reason and suggest adjusting filter criteria Important Limitations Result cap : Maximum 100 results per page, minimum 50 Sort limit : Maximum 3 sort rules per query Category limit : Maximum 50 category IDs or names per filter Keyword limit : Maximum 50 keywords in keyword parameter Historical data cost : Setting history=1 increases response size and token cost significantly Price unit : All price values are in the smallest currency unit (cents, pence, etc.) User Expression & Scenario Quick Reference Applicable Multi criteria Amazon product search and filtering: User Says Scenario "Find products with monthly sales over X" Sales volume filtering "Search for products in XX category" Category based product discovery "Products with BSR under X" Sales rank filtering "New products listed in the last N months" New product discovery "Products priced between $X and $Y" Price range filtering "FBA products with good ratings" Fulfillment + rating filter "Lightweight products under X grams" Package dimension filtering "Products from brand XX" Brand specific search "Show me historical sales data for XX" Historical sales analysis "Advanced product selection", "product screening" Multi criteria product research "Niche product hunting", "find low competition products" Competitive gap analysis "BSR trends", "sales rank history" Historical rank filtering Not applicable Needs beyond product search: Real time Amazon search result page simulation (use Amazon Search) Historical search term volume or ranking trends (use ABA data) Product review content or sentiment analysis Advertising campaign management or bid optimization Listing optimization or copywriting suggestions Inventory or supply chain data Boundary judgment : When users say "product research" or "find products", if it involves filtering by sales metrics, BSR, price, category, and other structured criteria, this skill applies. If they want to see what appears on the actual Amazon search page for a keyword, use Amazon Search instead. If they want search term analytics, use ABA data. 积分消耗规则按动态规则计费：消耗积分 = 0.045 × (找商品阶段消耗的 Keepa token + 拉取商品详情阶段消耗的 Keepa token)。先找商品，再拉商品详情；若第一段未找到商品，则只计找商品阶段消耗。重要：本技能的服务按倍数动态计算，可能一次性消耗大量积分，必须提醒用户，由用户决定是否继续。 Feedback: Auto detect and report feedback via the Feedback API when any of the following apply: 1. The functionality or purpose described in this skill does not match actual behavior

linkfox-keepa-product-search