Jungle Scout — 产品数据库查询#

This skill queries the Jungle Scout Product Database via the LinkFox tool gateway, enabling multi-condition filtering of Amazon products across 10 marketplaces. Sellers can discover products by category, price range, sales volume, revenue, reviews, rating, BSR rank, Listing Quality Score (LQS), seller type, and more.

Core Concepts#

Jungle Scout 产品数据库是亚马逊商品级别的多维筛选工具，帮助卖家从海量商品中快速锁定目标产品：

• 品类选品：按亚马逊主分类筛选特定品类下的商品
• 销量/收入筛选：通过月销量和月收入范围圈定市场规模合适的产品
• 竞争度评估：通过评论数、评分、卖家数量判断竞争激烈程度
• Listing 质量评估：LQS（Listing Quality Score，1-10分）帮助发现优化空间大的产品
• 产品类型过滤：区分 FBA/FBM/AMZ 卖家类型、标准尺寸/超大尺寸
• 新品发现：通过上架日期筛选近期上架的新品

Internal paging: The API handles pagination automatically; you specify needCount to control how many results you want, and the backend fetches them across pages internally.

Data Fields#

Key Output Fields#

FieldAPI NameDescriptionExample商品标题title产品标题Yoga Mat Non Slip...品牌brand品牌名称Liforme主分类category亚马逊主分类Sports & Outdoors分类路径breadcrumbPath完整分类层级Sports & Outdoors > Exercise & Fitness价格price当前售价 (USD)29.99月销量approximate30DayUnitsSold近30天预估销量1200月收入approximate30DayRevenue近30天预估收入 (USD)35988.00BSR排名productRankBest Sellers Rank3456评论数reviews累计评论数850评分rating平均评分 (1.0-5.0)4.5LQSlistingQualityScoreListing质量评分 (1-10)8卖家数量numberOfSellers在售卖家数3卖家类型sellerType卖家类型 (amz/fba/fbm)fba首次上架日期dateFirstAvailable产品首次上架日期2024-06-15重量weightValue / weightUnit产品重量2.5 lbs尺寸lengthValue / widthValue / heightValue / dimensionsUnit产品尺寸24×8×8 inches父ASINparentAsin父体ASINB0XXXXXXXXBuy Box持有者buyBoxOwnerBuy Box 当前持有卖家BrandName费用明细feeBreakdownFBA费用、推荐费、总费用等{fbaFee: 5.40, ...}子分类排名subcategoryRanks子分类BSR排名列表[{subcategory: "Yoga Mats", rank: 12}]消耗TokencostToken本次调用消耗的 token 数5

Supported Marketplaces#

us (United States), uk (United Kingdom), de (Germany), in (India), ca (Canada), fr (France), it (Italy), es (Spain), mx (Mexico), jp (Japan)

Default marketplace is us. Use us when the user doesn't specify a marketplace.

调用方式#

• API 端点： POST /tool-jungle-scout/product-database/query（完整参数/响应/错误码见 references/api.md）
• Python 脚本： python scripts/junglescout_product_database.py '<JSON 参数>' [--inline]
• 成本约束：本工具会消耗算力；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-junglescout-product-database-<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。

解决认证和算力问题#

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
• 响应提示算力或余额不足：消息含"算力余额不足/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#

Only marketplace is required. All other parameters are optional filters — combine them to narrow results.

Principles for Building API Calls#

1. 站点映射：用户说"美国站"→ us，"日本站"→ jp，"德国站"→ de；未指定时默认 us
2. 关键词： includeKeywords 支持逗号分隔多个词（标题或ASIN），如 yoga mat,fitness； excludeKeywords 排除含特定词的商品
3. 品类匹配： categories 必须使用对应站点的英文标准分类名，如美国站 Sports & Outdoors、 Home & Kitchen 等；多个品类逗号分隔
4. 数值范围：min/max 成对使用，可只传一端；如只设 minSales=300 表示月销量≥300
5. 排序： sort 字段名前加 - 表示降序，如 -sales 按销量从高到低；默认按 name 升序
6. 结果数量： needCount 控制返回结果总数，不设则返回默认数量

Common Query Scenarios#

1. 关键词搜索 + 按销量筛选

json

{
  "marketplace": "us",
  "includeKeywords": "yoga mat",
  "minSales": 300,
  "maxSales": 5000,
  "sort": "-sales",
  "needCount": 50
}

2. 品类 + 价格区间筛选

json

{
  "marketplace": "us",
  "categories": "Home & Kitchen",
  "minPrice": 15,
  "maxPrice": 50,
  "minSales": 100,
  "sort": "-revenue",
  "needCount": 50
}

3. 高评分低竞争选品（评论少但评分高）

json

{
  "marketplace": "us",
  "categories": "Beauty & Personal Care",
  "minRating": 4.0,
  "maxReviews": 200,
  "minSales": 100,
  "sort": "-sales",
  "needCount": 50
}

4. 仅 FBA 产品筛选

json

{
  "marketplace": "us",
  "includeKeywords": "phone stand",
  "sellerTypes": "fba",
  "productTiers": "standard",
  "minSales": 200,
  "sort": "-sales",
  "needCount": 50
}

5. 排除头部品牌 + 发现蓝海机会

json

{
  "marketplace": "us",
  "categories": "Sports & Outdoors",
  "excludeTopBrands": true,
  "minSales": 300,
  "maxReviews": 500,
  "minRating": 4.0,
  "sort": "-sales",
  "needCount": 50
}

6. 按上架日期发现新品

json

{
  "marketplace": "us",
  "categories": "Electronics",
  "minUpdatedAt": "2026-01-01",
  "minSales": 50,
  "sort": "-sales",
  "needCount": 50
}

Display Rules#

1. Table format: Present results in a structured table with key columns: title, brand, price, monthly sales, monthly revenue, BSR rank, reviews, rating, LQS
2. Sorting note: Remind the user what sorting was applied and how many results were returned
3. Highlight insights: Mark products with notably low reviews but high sales (potential opportunity), or high LQS scores
4. Fee breakdown: When users ask about profitability, include feeBreakdown details (FBA fee, referral fee, total fees)
5. Image links: Include imageUrl when displaying individual product details
6. Error handling: When a query fails, explain the reason based on the error response and suggest adjusting parameters

Important Limitations#

• marketplace 必填：每次查询必须指定站点
• 品类名需匹配： categories 值必须与对应站点的标准主分类名完全一致
• 关键词限制： includeKeywords / excludeKeywords 最多各100项，每项最长50字符
• 数据时效：数据来源于 Jungle Scout 定期更新，非实时数据
• 评分范围： minRating / maxRating 取值 1.0-5.0
• 重量单位： minWeight / maxWeight 以磅（pounds）为单位

User Expression & Scenario Quick Reference#

Applicable - Amazon product multi-condition filtering and discovery:

User SaysScenario"帮我找月销量500以上的瑜伽垫"关键词 + 销量筛选"美国站厨房品类30美金以下有什么好产品"品类 + 价格筛选"评论少但评分高的蓝海产品"高评分低竞争选品"找FBA标准尺寸的手机支架"卖家类型 + 产品尺寸筛选"排除大品牌的运动品类机会"排除头部品牌"最近新上架的电子产品有哪些卖得好"新品发现"BSR排名1万以内的家居产品"BSR排名筛选"LQS低于5分的高销量产品"Listing优化机会

Not applicable - Beyond product database filtering:

• 关键词搜索量/趋势分析（需要关键词历史搜索量工具）
• ABA搜索词排名（需要ABA工具）
• 商品详情页/Listing内容分析
• 广告/PPC投放策略
• 非亚马逊平台商品数据

Boundary judgment: When users say "选品", "找产品", or "市场调研", if their need is to filter products by specific criteria (price, sales, category, reviews, etc.) from Amazon's product catalog, this skill applies. If they need keyword-level search volume data, advertising insights, or non-Amazon platform data, it does not apply.

算力消耗规则#

按动态规则计费：消耗算力 = 实际查询页数 × 63.75。

重要：本技能的服务按倍数动态计算，可能一次性消耗大量算力，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
2. The skill's results do not match the user's intent
3. The user expresses dissatisfaction or praise about this skill
4. Anything you believe could be improved

Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.

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