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amazon-best-selling-products-finder-api-skill

@browser-act · 收录于 1 周前 · 上游提交 2 天前

This skill helps users extract structured best-selling product data from Amazon via the BrowserAct API. Agent should proactively apply this skill when users express needs like search for best selling products on Amazon, extract Amazon product data based on keywords, find top rated Amazon products, monitor Amazon competitor prices and sales, discover trending products on Amazon marketplace, extract Amazon product titles prices and ratings, gather Amazon product sales volume for market research, search Amazon best sellers in specific region, collect Amazon product reviews and promotion details, analyze Amazon product availability and badges, get Amazon product data for market analysis.

适合你,如果需要在亚马逊上搜索并提取畅销商品数据。

/ 下载安装
amazon-best-selling-products-finder-api-skill.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add browser-act/skills/amazon-best-selling-products-finder-api-skill
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- browser-act/skills/amazon-best-selling-products-finder-api-skill
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify browser-act/skills/amazon-best-selling-products-finder-api-skill
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 51daea1 · 表述以原文为准
它做什么

装上后,Claude 能根据关键词从亚马逊提取结构化商品数据,包括标题、价格、评分、销量、促销信息等。

什么时候触发

当用户提出搜索亚马逊热销商品、提取商品数据、监控价格或销量等需求时触发。

装好后可以这样说
返回商品列表,含价格、评分等。
指定关键词和数量。
需分别调用两次或指定不同市场。
技能原文 SKILL.md作者撰写 · MIT · 51daea1

Amazon Best Selling Products Finder API Skill

📖 Skill Introduction

This skill provides users with a one-stop product data extraction service using the BrowserAct Amazon Best Selling Products Finder API template. It can directly extract structured best-selling product data from Amazon. By inputting search keywords, data limit, and marketplace URL, you can easily get clean and usable product data including titles, prices, ratings, reviews, sales volume, and promotional details.

✨ Features
  1. No hallucinations, ensuring stable and precise data extraction: Preset workflows avoid AI generative hallucinations.
  2. No CAPTCHA issues: No need to handle reCAPTCHA or other verification challenges.
  3. No IP access restrictions and geofencing: No need to handle regional IP restrictions.
  4. More agile execution speed: Compared to pure AI-driven browser automation solutions, task execution is faster.
  5. Extremely high cost-effectiveness: Significantly reduces data acquisition costs compared to AI solutions that consume a large number of Tokens.
🔑 API Key Guide Flow

Before running, first check the BROWSERACT_API_KEY environment variable. If it is not set, do not take other actions; require and wait for the user to collaborate to provide it. The Agent must inform the user at this time:

"Since you have not configured the BrowserAct API Key yet, please go to the BrowserAct Console to get your Key."
🛠️ Input Parameters

When calling the script, the Agent should flexibly configure the following parameters based on user needs:

  1. KeyWords
  2. Type: string
  3. Description: Search keywords used to find Amazon products.
  4. Example: iphone 17 pro max, gaming mouse, running shoes
  1. Date_limit
  2. Type: number
  3. Description: Maximum number of products to extract.
  4. Default: 10
  5. Recommendation: Set to a lower number for quick checks, or higher for comprehensive analysis.
  1. Marketplace_url
  2. Type: string
  3. Description: Amazon marketplace URL for region-specific searches.
  4. Default: https://www.amazon.com
  5. Example: https://www.amazon.co.uk, https://www.amazon.de
🚀 Call Method (Recommended)

The Agent should execute the following standalone script to achieve "one command to get results":

# Call example
python -u ./scripts/amazon_best_selling_products_finder_api.py "search keywords" limit "marketplace_url"
⏳ Running Status Monitoring

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

  • While waiting for the script to return the result, please keep an eye on the terminal output.
  • As long as the terminal is still outputting new status logs, it means the task is running normally. Please do not mistakenly judge it as a deadlock or unresponsive.
  • If the status remains unchanged for a long time or the script stops outputting and no result is returned, the retry mechanism can be triggered.
📊 Data Output Description

After successful execution, the script will parse and print the result directly from the API response. The result contains:

  • title: Product title
  • brand: Brand name
  • list_price: Original list price
  • current_price: Current selling price
  • star_rating: Average star rating
  • review_count: Total review count
  • past_month_sales: Sales volume in the past month
  • availability: Stock status
  • promotion: Promotional offers
  • asin: Amazon Standard Identification Number
  • category: Product category
  • badge: Badges like Amazon's Choice
  • product_url: Direct link to the product
⚠️ Error Handling & Retry Mechanism

During the execution of the script, if an error occurs (such as network fluctuation or task failure), the Agent should follow this logic:

  1. Check the output content:
  2. If the output contains "Invalid authorization", it means the API Key is invalid or expired. At this time, do not retry, and guide the user to recheck and provide the correct API Key.
  3. If the output does not contain "Invalid authorization" but the task execution fails (for example, the output starts with Error: or the returned result is empty), the Agent should automatically try to execute the script again once.
  1. Retry limit:
  2. Automatic retry is limited to once. If the second attempt still fails, stop retrying and report the specific error message to the user.
🌟 Typical Use Cases
  1. Market Research: Extract product listings and ratings to analyze the current market for specific keywords.
  2. Competitor Analysis: Monitor competitor pricing, discounts, and sales volume over time.
  3. Trending Products Discovery: Find the best-selling and highly rated products within a specific category.
  4. Price Monitoring: Track current prices and list prices to optimize purchasing strategies.
  5. Cross-Region Analysis: Compare product availability and pricing across different Amazon marketplaces.
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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