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amazon-product-api-skillamazon product API 技能

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

85,166

周安装

3,479

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下载量

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OpenClaw

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

MIT-0

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-product-api-skill(amazon product API 技能)
来源仓库:https://github.com/phheng/amazon-product-api-skill
安装命令:
openclaw skills install amazon-product-api-skill
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 amazon-product-api-skill

简介

提取亚马逊产品的结构化数据如标题、价格与评级。

  • 支持按条件筛选与分页获取产品信息。amazon-product-api-skill 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 输出 JSON 格式便于系统集成与开发对接。
  • 安装命令:openclaw skills install amazon-product-api-skill。
  • 需遵守 API 调用频率限制与数据使用条款。

SKILL.md

name
amazon-product-api-skill
description
This skill helps users extract structured product listings from Amazon, including titles, ASINs, prices, ratings, and specifications. Use this skill when users want to search for products on Amazon, find the best selling brand products, track price changes for items, get a list of categories with high ratings, compare different brand products on Amazon, extract Amazon product data for market research, look for products in a specific language or marketplace, analyze competitor pricing for keywords, find featured products for search terms, get technical specifications like material or color for product lists.
metadata
{"clawdbot":{"emoji":"🌐","requires":{"bins":["python"],"env":["BROWSERACT_API_KEY"]}}}

Amazon Product Search Skill

📖 Introduction

This skill utilizes BrowserAct's Amazon Product API template to extract structured product listings from Amazon search results. It provides detailed information including titles, ASINs, prices, ratings, and product specifications, enabling efficient market research and product monitoring without manual data collection.

✨ Features

  1. No Hallucinations: Pre-set workflows avoid AI generative hallucinations, ensuring stable and precise data extraction.
  2. No Captcha Issues: No need to handle reCAPTCHA or other verification challenges.
  3. No IP Restrictions: No need to handle regional IP restrictions or geofencing.
  4. Faster Execution: Tasks execute faster compared to pure AI-driven browser automation solutions.
  5. Cost-Effective: Significantly lowers data acquisition costs compared to high-token-consuming AI solutions.

🔑 API Key Setup

Before running, check the BROWSERACT_API_KEY environment variable. If not set, do not take other measures; ask and wait for the user to provide it. Agent must inform the user:

"Since you haven't configured the BrowserAct API Key, please visit the BrowserAct Console to get your Key."

🛠️ Input Parameters

The agent should configure the following parameters based on user requirements:

  1. KeyWords

- Type: string - Description: Search keywords used to find products on Amazon. - Required: Yes - Example: laptop, wireless earbuds

  1. Brand

- Type: string - Description: Filter products by brand name. - Default: Apple - Example: Dell, Samsung

  1. Maximum_number_of_page_turns

- Type: number - Description: Number of search result pages to paginate through. - Default: 1

  1. language

- Type: string - Description: UI language for the Amazon browsing session. - Default: en - Example: zh-CN, de

🚀 Usage

Agent should use the following independent script to achieve "one-line command result":

# Example Usage
python -u ./scripts/amazon_product_api.py "keywords" "brand" pages "language"

⏳ Execution Monitoring

Since this task involves automated browser operations, it may take some time (several minutes). The script will continuously output status logs with timestamps (e.g., [14:30:05] Task Status: running). Agent Instructions:

  • While waiting for the script result, keep monitoring the terminal output.
  • As long as the terminal is outputting new status logs, the task is running normally; do not mistake it for a deadlock or unresponsiveness.
  • Only if the status remains unchanged for a long time or the script stops outputting without returning a result should you consider triggering the retry mechanism.

📊 Data Output

Upon success, the script parses and prints the structured product data from the API response, which includes:

  • product_title: Full title of the product.
  • asin: Amazon Standard Identification Number.
  • product_url: URL of the Amazon product page.
  • brand: Brand name.
  • price_current_amount: Current price.
  • price_original_amount: Original price (if applicable).
  • rating_average: Average star rating.
  • rating_count: Total number of ratings.
  • featured: Badges like "Best Seller" or "Amazon's Choice".
  • color, material, style: Product attributes (if available).

⚠️ Error Handling & Retry

If an error occurs during script execution (e.g., network fluctuations or task failure), the Agent should follow this logic:

  1. Check Output Content:

- If the output contains "Invalid authorization", it means the API Key is invalid or expired. Do not retry; guide the user to re-check and provide the correct API Key. - If the output does not contain "Invalid authorization" but the task failed (e.g., output starts with Error: or returns empty results), the Agent should automatically try to re-execute the script once.

  1. Retry Limit:

- Automatic retry is limited to one time. If the second attempt fails, stop retrying and report the specific error information to the user.

🌟 Typical Use Cases

  1. Market Research: Search for a specific product category to analyze top brands and pricing.
  2. Competitor Monitoring: Track product listings and price changes for specific competitor brands.
  3. Product Catalog Enrichment: Extract structured details like ASINs and specifications to build or update a product database.
  4. Rating Analysis: Find high-rated products for specific keywords to identify market leaders.
  5. Localized Research: Search Amazon in different languages to analyze international markets.
  6. Price Tracking: Monitor current and original prices to identify discount trends.
  7. Brand Performance: Evaluate the presence of a specific brand in search results across multiple pages.
  8. Attribute Extraction: Gather technical specifications like material or color for a list of products.
  9. Lead Generation: Identify popular products and their manufacturers for business outreach.
  10. Automated Data Feed: Periodically pull Amazon search results into external BI tools or dashboards.

适合场景

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02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

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能力概览

能力 1

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能力 2

展示可复制的安装命令

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

84.42%
按下载量换算23,026

安全审计

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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

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来源信息

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