denicmic-chung

Amazon Product Scraper

Data Analysisv1.0.0
By denicmic-chungUpdated 2026-05-11amazon-product-scraper@clawhub_denicmic-chung/amazon-product-scraper
Report GenerationWeb ScrapingCompetitor Analysis

According to AlphaMoat, as of 2026-09, Amazon Product Scraper has 2,528 downloads and 4 stars — ranked #4,078 of 5,078 AI skills overall, and #307 of 399 in Data Analysis.

Installs
252
Downloads
2.5K
Stars
4
Overall Rank
#4,078
Top 81% overall · Top 77% in Data Analysis
PlatformInstallsDownloadsStarsComments
ClawHub ↗501.9K2-
SkillHub ↗2522.5K4—

Platforms count differently and update at different times.

What this skill does

Use the built-in browser to collect Amazon product-page details and organize titles, prices, rankings, bullet points, specifications, and variants into a structured competitor report. Page details change, so verify source and retrieval time and follow platform rules and account permissions.

Profile published 2026-10-27

What you can do with it

  • Organize Amazon listing details
  • Create structured competitor comparisons

When to use it

  • When summarizing product titles, specifications, and selling points
  • When checking changing details such as prices or rankings

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Organize these Amazon product pages and record retrieval time and source.
Compare specifications and selling points without inferring details absent from the pages.

Monthly Trend

Downloads2.5K
6201.6K2.7K2026-03 · Downloads 7612026-05 · Downloads 1.3K2026-06 · Downloads 1.4K2026-07 · Downloads 1.8K2026-08 · Downloads 2.1K2026-09 · Downloads 2.5K26-0326-09
Stars4
2342026-03 · Stars 22026-05 · Stars 32026-06 · Stars 32026-07 · Stars 42026-08 · Stars 42026-09 · Stars 426-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-092.5K—4
2026-082.1K+17.0%4
2026-071.8K+26.6%4
2026-061.4K+15.5%3
2026-051.3K—3
2026-03761—2

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

3.9 KB · ClawHub v1.0.0
# Amazon Product Scraper

> 亚马逊竞品分析工具 - 使用 OpenClaw 内置浏览器抓取亚马逊产品Listing信息

## 概述

这个 Skill 用于抓取亚马逊产品页面的完整信息,包括标题、价格、排名、五点描述、规格参数等,生成结构化的竞品分析报告。

## 触发方式
Show all (193 lines)
当用户要求:
- "抓取亚马逊竞品"
- "分析亚马逊产品"
- "查找ASIN信息"
- "竞品报告"
- 提供 ASIN (如 B0D3ZBFMW6)
- 提供亚马逊链接 (如 https://www.amazon.com/dp/B0XXXXX)

## 执行流程

### 1. 打开产品页面

使用 browser 工具打开亚马逊产品页面:
```
targetUrl: https://www.amazon.com/dp/{ASIN}
```

### 2. 等待页面加载

等待 3-5 秒让页面完全加载

### 3. 获取页面快照

使用 browser snapshot 获取完整页面结构

### 4. 提取关键信息

从快照中提取以下信息:

| 信息类型 | 提取位置 |
|----------|----------|
| ASIN | 产品详情页 |
| 标题 | heading 标题 |
| 价格 | 价格区域 |
| 评分 | review 区域 |
| 评论数 | review count |
| BSR 大类 | Best Sellers Rank |
| BSR 小类 | Best Sellers Rank |
| 五点描述 | About this item |
| 规格参数 | Technical Specifications |
| 套餐变体 | Variant 区域 |
| 品牌 | Brand 字段 |
| 上架日期 | Date First Available |
| 卖家 | Seller 信息 |

### 5. 生成报告

按照以下模板生成竞品分析报告:

```markdown
# 亚马逊竞品分析报告

**ASIN**: {ASIN}  
**抓取时间**: {时间}  
**产品类别**: {类别}

---

## 一、产品基本信息

| 字段 | 内容 |
|------|------|
| **ASIN** | {ASIN} |
| **标题** | {标题} |
| **品牌** | {品牌} |
| **Manufacturer** | {Manufacturer} |
| **上架日期** | {上架日期} |
| **店铺** | {店铺} |
| **卖家** | {卖家} |

---

## 二、价格信息

| 项目 | 数值 |
|------|------|
| **当前售价** | {价格} |
| **原价** | {原价} |
| **折扣** | {折扣} |
| **Prime 配送** | {配送} |

### 套餐变体

| 套餐 | 价格 | 库存 |
|------|------|------|
| {套餐1} | {价格1} | {库存1} |
| ... | ... | ... |

---

## 三、排名信息

| 排名维度 | 数据 |
|----------|------|
| **BSR 大类** | {大类排名} |
| **BSR 小类** | {小类排名} |
| **月销量** | {月销量} |
| **Amazon's Choice** | {是否} |
| **评分** | {评分} ({评论数} reviews) |
| **返回率** | {返回率} |

---

## 四、规格参数

| 参数 | 值 |
|------|-----|
| {参数1} | {值1} |
| ... | ... |

---

## 五、五点描述 (完整版)

从快照的 "About this item" 部分提取所有五点描述,**完整输出每一行的完整内容**,不要省略。

格式:
```markdown
1. **{标题1}**  
   {完整描述1}

2. **{标题2}**  
   {完整描述2}

3. **{标题3}**  
   {完整描述3}

... (按实际数量完整列出)
```

**重要**:每一行的完整文本都要保留,包括emoji、完整句子等,不要截断或省略。

---

## 六、竞品分析总结

### 优势
- {优势1}
- {优势2}

### 弱点
- {弱点1}
- {弱点2}

### 机会
- {机会1}
- {机会2}

---

## 七、定价参考

| 竞品套餐 | 价格 | 你的定价建议 |
|----------|------|-------------|
| {套餐} | {价格} | {建议} |

---

**文件保存位置**: memory/竞品分析报告-{ASIN}.md
```

### 6. 保存文件

将报告保存到 `memory/竞品分析报告-{ASIN}.md`

### 7. 输出给用户

将完整报告输出给用户审阅

## 重要提示

- 使用 OpenClaw 内置的 browser 工具,不需要额外 API
- 亚马逊可能有反爬机制,如果第一次失败可以多试几次
- 某些信息(如 BSR 大类排名)可能在页面下方,需要滚动查看
- **五点描述可能不止 5 条,有些产品有 6-8 条,必须完整提取每一行,不要省略**
- **所有文本都要完整保留,包括 emoji、完整句子,不要截断**

## 示例

用户输入:`B0D3ZBFMW6`

执行结果:生成完整的竞品分析报告并保存到文件

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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.