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amazon-asin-lookup-api-skillamazon asin lookup 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

41,064

周安装

1,711

GitHub Stars

1

下载量

13,688
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-asin-lookup-api-skill(amazon asin lookup API 技能)
来源仓库:https://github.com/phheng/amazon-asin-lookup-api-skill
安装命令:
openclaw skills install amazon-asin-lookup-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-asin-lookup-api-skill

简介

通过标准ASIN号获取亚马逊商品完整结构化元数据。

  • 适用于竞品情报收集、价格监控与规格对比分析用途。amazon-asin-lookup-api-skill 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 返回字段包含标题、描述、图片URL、变体关系树等信息。
  • 需配置有效的API访问令牌并遵守请求频次限制规则。
  • 不支持私有Listing或非公开促销商品的详细信息查询。

SKILL.md

name
amazon-asin-lookup-api-skill
description
This skill helps users extract structured product details from Amazon using a specific ASIN (Amazon Standard Identification Number). Use this skill when the user asks to get Amazon product details by ASIN, lookup Amazon product title and price using ASIN, extract Amazon product ratings and reviews count for a specific ASIN, check Amazon product availability and current price, get Amazon product description and features via ASIN, enrich product catalog with Amazon data using ASIN, monitor Amazon product price changes for specific ASINs, retrieve Amazon product brand and material information, fetch Amazon product images and specifications by ASIN, validate Amazon ASIN and get product metadata.
metadata
{"clawdbot":{"emoji":"🌐","requires":{"bins":["python"],"env":["BROWSERACT_API_KEY"]}}}

Amazon ASIN Lookup Skill

📖 Introduction

This skill utilizes BrowserAct's Amazon ASIN Lookup API template to provide a seamless way to retrieve comprehensive product information from Amazon. By simply providing an ASIN, you can extract structured data including title, price, ratings, brand, and detailed descriptions directly into your application without manual scraping.

✨ 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. ASIN (Amazon Standard Identification Number)

- Type: string - Description: The unique identifier for the Amazon product. - Required: Yes - Example: B07TS6R1SF

🚀 Usage

The agent should execute the following script to get results in one command:

# Example Usage
python -u ./scripts/amazon_asin_lookup_api.py "ASIN_VALUE"

⏳ 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: The provided ASIN.
  • product_url: URL of the Amazon product page.
  • brand: Brand name.
  • price_current_amount: Current price.
  • price_original_amount: Original price (if applicable).
  • price_discount_amount: Discount amount (if applicable).
  • rating_average: Average star rating.
  • rating_count: Total number of ratings.
  • featured: Badges like "Amazon's Choice".
  • color: Color variant (if applicable).
  • compatible_devices: List of compatible devices (if applicable).
  • product_description: Full product description.
  • special_features: Highlighted features.
  • style: Style attribute (if applicable).
  • material: Material used (if applicable).

⚠️ 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. Product Data Enrichment: Retrieve full details for a list of ASINs to update an e-commerce database.
  2. Price Comparison: Lookup current Amazon prices for specific ASINs to compare with other retailers.
  3. Review Monitoring: Track changes in rating averages and review counts for key products.
  4. Availability Checks: Automatically verify if a specific product is currently in stock on Amazon.
  5. Brand Analysis: Identify the brand and manufacturer of products identified by ASIN.
  6. Detailed Specifications: Fetch material, style, and color information for catalog management.
  7. Feature Highlighting: Extract "special features" and detailed descriptions for marketing copy.
  8. Compatibility Verification: Check "compatible devices" for electronics or accessories.
  9. Market Research: Analyze featured badges like "Amazon's Choice" for specific product IDs.
  10. URL Resolution: Convert a list of ASINs into full Amazon product page URLs.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

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

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

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

74.93%
按下载量换算10,256

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

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。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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