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Agent Skill · 研究检索

apiclaw-amazon-api(apiclaw amazon API 搜索)

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

apiclaw-amazon-api 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 19,781。

总安装 5,463周安装 221GitHub Stars 公开资料未说明下载 1,715核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:apiclaw-amazon-api(apiclaw amazon API 搜索)
来源仓库:https://github.com/christine-srp/apiclaw-amazon-api
安装命令:
openclaw skills install apiclaw-amazon-api
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install apiclaw-amazon-api

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

提供对超 2 亿亚马逊产品的编程级数据访问能力。适用于电商选品、竞品监控与市场分析场景。apiclaw-amazon-api 属于研究检索类 Skill,可作为该场景下的辅助能力补充。覆盖六大电子平台的实时商业数据基础设施。安装命令:openclaw skills install apiclaw-amazon-api。

需遵守 Amazon 数据使用政策及相关法律条款。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install apiclaw-amazon-api;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

apiclaw-amazon-api 怎么安装?

在终端执行 openclaw skills install apiclaw-amazon-api。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

apiclaw-amazon-api 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

apiclaw-amazon-api 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

apiclaw-amazon-api 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

apiclaw-amazon-api 用的人多吗?

公开数据是累计安装 5,463 次,近一周安装 221 次,下载 1,715 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

apiclaw-amazon-api 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
apiclaw-amazon-api

apiclaw amazon API 搜索 · 本页

5,463—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
apiclaw
description
APIClaw API platform overview — AI-powered commerce data infrastructure. Provides programmatic access to 200M+ Amazon products with real-time data across 6 endpoints: category browsing, market metrics, product search, competitor lookup, realtime ASIN detail, and AI review analysis. Use when user asks: what APIClaw can do, available API endpoints, how to get started, API capabilities overview, credit usage, or general commerce data questions. For deep Amazon product selection strategies and analysis workflows, use the Amazon-analysis-skill instead. Requires APICLAW_API_KEY.
metadata
{"openclaw": {"requires": {"env": ["APICLAW_API_KEY"]}, "primaryEnv": "APICLAW_API_KEY"}}

APIClaw — Commerce Data Infrastructure for AI Agents

Real-time access to 200M+ Amazon products. 6 endpoints, one API key. Language rule: Respond in the user's language.

Quick Start

  1. Get API key: apiclaw.io/api-keys
  2. Set env: export APICLAW_API_KEY='hms_live_xxx'
  3. Base URL: https://api.apiclaw.io/openapi/v2
  4. Auth: Authorization: Bearer YOUR_API_KEY
  5. All endpoints: POST with JSON body

New keys need 3-5 seconds to activate. If 403, wait and retry.

API Endpoints

#EndpointWhat It DoesKey Output
1categoriesBrowse Amazon category treecategoryName, categoryPath, productCount, hasChildren
2markets/searchMarket-level aggregate metricssampleAvgMonthlySales, sampleAvgPrice, sampleBrandCount, topSalesRate, sampleFbaRate
3products/searchProduct search with 14 preset strategiesasin, title, price, bsrRank, atLeastMonthlySales, rating, ratingCount
4products/competitor-lookupCompetitor analysis by keyword/ASINcompetitive products with sales, revenue, seller info
5realtime/productLive single-ASIN detailtitle, rating, features, variants, bestsellersRank, buyboxWinner
6reviews/analyzeAI-powered review insightssentimentDistribution, consumerInsights (painPoints, buyingFactors, etc.)

Endpoint Details

1. Categories

Browse or search Amazon's category hierarchy.

POST /openapi/v2/categories
{"categoryKeyword": "pet supplies"}                    # search by keyword
{"parentCategoryPath": ["Pet Supplies"]}               # browse children

⚠️ Use categoryKeyword (not keyword) and parentCategoryPath (not parentCategoryName).

2. Markets

Category-level market metrics — answer "Is this market worth entering?"

POST /openapi/v2/markets/search
{"categoryPath": ["Pet Supplies", "Dogs", "Toys"], "topN": "10"}

⚠️ topN must be a string ("3", "5", "10", "20"), NOT an integer.

Returns: sampleAvgMonthlySales, sampleAvgPrice, sampleBrandCount, sampleSellerCount, topSalesRate (concentration), sampleNewSkuRate, sampleFbaRate.

3. Products

Product search with filters or 14 built-in selection modes.

POST /openapi/v2/products/search
{"keyword": "yoga mat", "mode": "beginner"}

14 modes: beginner, fast-movers, emerging, long-tail, underserved, new-release, fbm-friendly, low-price, single-variant, high-demand-low-barrier, broad-catalog, selective-catalog, speculative, top-bsr.

Key fields: atLeastMonthlySales (lower-bound estimate), bsrRank (integer), ratingCount (not reviewCount), price, profitMargin, fbaFee.

4. Competitors

Competitor discovery by keyword, brand, or specific ASIN.

POST /openapi/v2/products/competitor-lookup
{"keyword": "wireless earbuds"}
{"asin": "B09V3KXJPB"}

Returns same product fields as products/search.

5. Realtime Product

Live data for a single ASIN — current listing content and pricing.

POST /openapi/v2/realtime/product
{"asin": "B09V3KXJPB"}

Key response fields:

FieldTypeNote
title, brandStringBasic info
rating, ratingCountFloat/IntRating data
ratingBreakdownObject{five_star: {percentage, count}, ...}
featuresListBullet points
bestsellersRankArray[{category, rank}, ...] — NOT a single integer
buyboxWinnerObject{price, fulfillment, seller} — price is nested here
topReviewsListTop reviews with title, body, rating
variantsListAll variants with dimensions

⚠️ Does NOT return: atLeastMonthlySales, profitMargin, fbaFee, sellerCount. Use products/competitor-lookup for those. ⚠️ Price is nested: buyboxWinner.price, NOT top-level price.

6. Review Analysis

AI-powered consumer insights from customer reviews.

POST /openapi/v2/reviews/analyze

# Single or multiple ASINs (mode + asins required)
{"mode": "asin", "asins": ["B09V3KXJPB"]}
{"mode": "asin", "asins": ["B09V3KXJPB", "B08YYYYY"]}

# Category-level insights
{"mode": "category", "categoryPath": "Pet Supplies,Dogs,Toys", "period": "90d"}

# Filter to specific dimensions
{"mode": "asin", "asins": ["B09V3KXJPB"], "labelType": "painPoints"}

⚠️ mode is required ("asin" or "category"). ⚠️ Use asins (plural, array), NOT asin (singular string).

11 insight dimensions (labelType): painPoints, improvements, buyingFactors, issues, positives, scenarios, keywords, userProfiles, usageTimes, usageLocations, behaviors.

Returns: totalReviews, avgRating, sentimentDistribution, ratingDistribution, consumerInsights, topKeywords, verifiedRatio.

⚠️ Field Differences Across Endpoints

The 4 endpoint types return different fields. Do NOT assume they share the same structure.

Datamarketsproducts/competitorsrealtime/productreviews/analyze
Monthly SalessampleAvgMonthlySales✅ atLeastMonthlySales❌❌
PricesampleAvgPricepricebuyboxWinner.price❌
BSRsampleAvgBsrbsrRank (integer)bestsellersRank (array)❌
RatingsampleAvgRatingratingratingavgRating
Review CountsampleAvgReviewCountratingCountratingCounttotalReviews
Sentiment❌❌❌✅ sentimentDistribution
Consumer Insights❌❌❌✅ consumerInsights
Pain Points❌❌❌ (manual from topReviews)✅ AI-analyzed
Profit Margin❌profitMargin❌❌
FBA Fee❌fbaFee❌❌
Features/Bullets❌❌✅ features❌
Variants❌variantCount (integer)variants (full list)❌

What Each Endpoint Is Best For

NeedUse This
Sales, pricing, competition dataproducts/search or products/competitor-lookup
Live pricing, reviews, listing contentrealtime/product
Category-level market sizingmarkets/search
Consumer pain points, sentiment, buying factorsreviews/analyze
Category browsing / validationcategories
Full product pictureCombine products (quantitative) + realtime (qualitative) + reviews (insights)

Known Quirks

  1. topN and newProductPeriod are strings — use "10" not 10
  2. listingAge is a string — use "180" not 180
  3. All response .data is an array — use .data[0] not .data.fieldName
  4. ratingCount not reviewCount — the field is called ratingCount everywhere
  5. bsrRank (integer) in products/competitors vs bestsellersRank (array) in realtime
  6. Rate limit: 100 req/min, 10 req/sec burst

Credits

  • Each API call consumes credits
  • Response includes meta.creditsConsumed and meta.creditsRemaining
  • Minimum 50 reviews required for reviews/analyze (returns INSUFFICIENT_REVIEWS error otherwise)
  • Plans & rates: apiclaw.io/pricing

Data Notes

  • Monthly sales (atLeastMonthlySales) is a lower-bound estimate — actual may be higher
  • Realtime vs database: realtime/product is live; products/competitors have ~T+1 delay
  • Currently Amazon US only (amazon.com) — more marketplaces planned
  • Sales estimation fallback: When atLeastMonthlySales is null → Monthly sales ≈ 300,000 / BSR^0.65

Go Deeper

For advanced Amazon product research — 14 selection strategies, risk assessment, pricing analysis, listing optimization, and operational monitoring — install the dedicated skill:

clawhub install Amazon-analysis-skill

Links

平台分布

OpenClaw

94.25%
按下载量换算1,616

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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