什么是 Amazon ASIN 查询 API 技能？

Amazon ASIN 查询 API 技能是为 Openclaw Skills 设计的强大集成，利用 BrowserAct API 模板获取实时产品信息。通过使用特定的亚马逊标准标识号 (ASIN)，用户可以绕过传统的爬虫障碍（如验证码和 IP 轮换），获取准确的数据，如标题、当前价格、品牌详情和客户评分。

该技能旨在通过依赖精确的浏览器驱动数据提取来消除 AI 幻觉的风险。它为需要在 Openclaw Skills 生态系统内进行目录丰富、竞争分析或自动化市场研究的开发者提供了技术基础。

下载入口:https://github.com/openclaw/skills/tree/main/skills/phheng/amazon-asin-lookup-api-skill

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

2. 手动安装

将技能文件夹复制到以下位置之一

优先级：工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

Amazon ASIN 查询 API 技能 应用场景

• 使用详细的产品规格和图像丰富电子商务数据库
• 坚控特定 ASIN 的价格波动和折扣金额
• 通过平均评分和评论计数跟踪产品表现
• 自动化库存可用性检查和特色徽章坚控
• 收集电子产品和配件列表的兼容性数据

1. 用户提供目标 ASIN 并触发技能执行。
2. 系统检查环境变量中是否存在有效的 BROWSERACT_API_KEY。
3. 专用的 Python 脚本通过 BrowserAct 模板发起请求以访问亚马逊产品页面。
4. 代理坚控实时执行日志，在浏览器自动化处理请求时提供状态更新。
5. 提取、解析结构化产品元数据，并以简洁的格式返回给用户。

Amazon ASIN 查询 API 技能 配置指南

确保您已安装 Python 并准备好 API 凭据。要将其与 Openclaw Skills 一起使用，请设置环境变量并运行提供的脚本：

# 设置您的 BrowserAct API 密钥
export BROWSERACT_API_KEY='your_api_key_here'

# 为特定 ASIN 执行查询
python -u ./scripts/amazon_asin_lookup_api.py "B07TS6R1SF"

Amazon ASIN 查询 API 技能 数据架构与分类体系

该技能将提取的数据整理成结构化模式，以便于使用：

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.

2. 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.