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amazon-data亚马逊数据

Agent Skill

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。

总安装

710

周安装

29

GitHub Stars

公开资料未说明

下载量

227
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:amazon-data(亚马逊数据)
来源仓库:https://github.com/canopy-api/skills
仓库路径:skills/amazon-data
安装命令:
npx skills add https://github.com/canopy-api/skills --skill amazon-data
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/canopy-api/skills --skill amazon-data

简介

canopy-api-skills-amazon-data 通过Canopy API获取亚马逊商品数据,涵盖详情、销量与评论信息。

  • 适用于电商分析、竞品研究等场景,支持多维度筛选与实时查询。
  • 返回结构化数据,便于集成到报表或决策系统,需合法授权访问。
  • 注意API调用频率限制,敏感数据需脱敏处理后再使用。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Amazon Data Skill

Use this skill to retrieve Amazon product data via the Canopy API REST endpoints using Python.

Canopy API provides real-time access to 350M+ Amazon products across 25K+ categories. With this skill you can fetch:

  • Product details — titles, descriptions, pricing, images, feature bullets, and brand info
  • Sales and stock estimates — weekly, monthly, and annual unit sales alongside current stock levels
  • Reviews — ratings, review text, verified purchase status, and helpful vote counts
  • Search — find products by keyword with filters for price, condition, category, and sort order
  • Offers — compare pricing and fulfillment details across multiple sellers
  • Deals — browse current Amazon deals and discounts across 12 international domains
  • Categories — navigate the full Amazon category taxonomy
  • Sellers and authors — look up seller profiles, ratings, and author bibliographies

Setup

  1. Sign up and create an account at canopyapi.co
  2. Get an API key from your dashboard
  3. Set the API key in your environment:
export API_KEY="your_api_key_here"

Base URL

https://rest.canopyapi.co

Authentication

All requests require the API-KEY header:

import os
import requests

API_KEY = os.environ["API_KEY"]
BASE_URL = "https://rest.canopyapi.co"
HEADERS = {"API-KEY": API_KEY}

Endpoints

Get Product Information

response = requests.get(f"{BASE_URL}/api/amazon/product", headers=HEADERS, params={
    "asin": "B01HY0JA3G",  # or use "url" or "gtin"
    "domain": "US",         # optional, defaults to "US"
})

Returns product title, brand, price, rating, images, feature bullets, categories, and seller info.

Get Product Variants

response = requests.get(f"{BASE_URL}/api/amazon/product/variants", headers=HEADERS, params={
    "asin": "B01HY0JA3G",
})

Get Stock Estimates

response = requests.get(f"{BASE_URL}/api/amazon/product/stock", headers=HEADERS, params={
    "asin": "B01HY0JA3G",
})

Get Sales Estimates

response = requests.get(f"{BASE_URL}/api/amazon/product/sales", headers=HEADERS, params={
    "asin": "B01HY0JA3G",
})

Returns weekly, monthly, and annual unit sales estimates.

Get Product Reviews

response = requests.get(f"{BASE_URL}/api/amazon/product/reviews", headers=HEADERS, params={
    "asin": "B01HY0JA3G",
})

Get Product Offers

response = requests.get(f"{BASE_URL}/api/amazon/product/offers", headers=HEADERS, params={
    "asin": "B01HY0JA3G",
    "page": 1,  # optional
})

Search Products

response = requests.get(f"{BASE_URL}/api/amazon/search", headers=HEADERS, params={
    "searchTerm": "wireless headphones",
    "domain": "US",          # optional
    "page": 1,               # optional
    "limit": 20,             # optional, 20-40
    "minPrice": 10,          # optional
    "maxPrice": 100,         # optional
    "conditions": "NEW",     # optional: NEW, USED, RENEWED (comma-separated)
    "sort": "FEATURED",      # optional: FEATURED, MOST_RECENT, PRICE_ASCENDING, PRICE_DESCENDING, AVERAGE_CUSTOMER_REVIEW
})

Get Autocomplete Suggestions

response = requests.get(f"{BASE_URL}/api/amazon/autocomplete", headers=HEADERS, params={
    "searchTerm": "wireless",
})

Get Category Taxonomy

response = requests.get(f"{BASE_URL}/api/amazon/categories", headers=HEADERS, params={
    "domain": "US",  # optional
})

Get Category Information

response = requests.get(f"{BASE_URL}/api/amazon/category", headers=HEADERS, params={
    "categoryId": "1234567890",
    "domain": "US",          # optional
    "page": 1,               # optional
    "sort": "FEATURED",      # optional
})

Get Seller Information

response = requests.get(f"{BASE_URL}/api/amazon/seller", headers=HEADERS, params={
    "sellerId": "A2R2RITDJNW1Q6",
    "domain": "US",  # optional
    "page": 1,       # optional
})

Get Author Information

response = requests.get(f"{BASE_URL}/api/amazon/author", headers=HEADERS, params={
    "asin": "B000AQ5RM0",
    "domain": "US",  # optional
    "page": 1,       # optional
})

Get Deals

response = requests.get(f"{BASE_URL}/api/amazon/deals", headers=HEADERS, params={
    "domain": "US",  # optional: US, UK, CA, DE, FR, IT, ES, AU, IN, MX, BR, JP
    "page": 1,       # optional
    "limit": 20,     # optional
})

Product Lookup Options

Product endpoints accept one of these identifiers:

ParameterDescriptionExample
asinAmazon product ASINB01HY0JA3G
urlFull Amazon product URLhttps://amazon.com/dp/B01HY0JA3G
gtinISBN, UPC, or EAN code9780141036144

Supported Domains

US (default), UK, CA, DE, FR, IT, ES, AU, IN, MX, BR, JP

Error Handling

StatusMeaning
400Invalid parameters
401Invalid or missing API key
402Payment required
500Server error
response = requests.get(f"{BASE_URL}/api/amazon/product", headers=HEADERS, params={"asin": "B01HY0JA3G"})
if response.ok:
    data = response.json()
else:
    print(f"Error {response.status_code}: {response.text}")

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

39.72%
按下载量换算90

Claude

27.73%
按下载量换算63

Cursor

19.56%
按下载量换算44

Gemini CLI

10.67%
按下载量换算24

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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