据 AlphaMoat 统计,截至 2026-09,Amazon Product Api Skill 累计下载 4,252 次、获 3 个星标,在全部 5,078 个 AI 技能中排名第 2,336 位,在「数据分析」分类(399 个)中排名第 185 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 128 | 3,978 | 2 | - |
| SkillHub ↗ | 237 | 4,252 | 3 | — |
各平台的计数口径不同,统计时间不一致。
该技能利用 BrowserAct 的 Amazon Product API 模板从亚马逊搜索结果中提取结构化产品数据(标题、ASIN、价格、评分、规格),宣称通过 BrowserAct 的 Amazon Product API 模板进行结构化提取、执行更快且更省成本。需配置 BROWSERACT_API_KEY(未配置时必须先询问用户),输入参数包括关键词、品牌(默认 Apple)、翻页数(默认 1)和语言(默认 en);脚本执行需持续监控状态日志,失败且非授权错误时自动重试一次。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 4,252 | — | 3 |
| 2026-08 | 3,899 | +5.8% | 3 |
| 2026-07 | 3,686 | +9.2% | 3 |
| 2026-06 | 3,375 | +7.1% | 3 |
| 2026-05 | 3,151 | — | 3 |
| 2026-03 | 2,425 | — | 2 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
---
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](https://www.browseract.com/reception/integrations) 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` 2. **Brand** - **Type**: `string` - **Description**: Filter products by brand name. - **Default**: `Apple` - **Example**: `Dell`, `Samsung` 3. **Maximum_number_of_page_turns** - **Type**: `number` - **Description**: Number of search result pages to paginate through. - **Default**: `1` 4. **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": ```bash # 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**. 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. **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.
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数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。