A powerful automation tool for scraping Amazon product listings and generating structured Excel and Markdown reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install zuokun300-amazon-scraper
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install zuokun300-amazon-scraper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Amazon Data Scraper?
The Amazon Data Scraper is a robust technical solution designed to streamline e-commerce market research by extracting high-quality product data directly from Amazon. As a specialized addition to the Openclaw Skills ecosystem, it allows developers and analysts to transform raw search results into structured, actionable insights.
By leveraging professional-grade scraping infrastructure, this skill handles complex data points including brand distribution, competitive pricing, and ranking trends. It is specifically built to bypass common scraping hurdles, ensuring that users receive reliable datasets for e-commerce strategy and product selection.
Amazon Data Scraper Use Cases
- E-commerce product selection research and niche market identification.
- Competitor price monitoring and dynamic market pricing analysis.
- Identification of trending products and high-performing ASINs.
- Comprehensive brand share analysis and market trend studies.
How Amazon Data Scraper Works
- The user provides a specific search keyword or category target to the AI agent.
- The skill executes a search query via the Apify API to bypass anti-bot protections and fetch real-time listings.
- Data is parsed to extract key attributes such as ASIN, brand name, pricing, and customer ratings.
- The system performs statistical calculations to determine brand density and price distributions.
- Structured reports are automatically generated in Excel (.xlsx) and Markdown (.md) formats for immediate review.
Amazon Data Scraper Setup
Installation via ClawHub
# Install the skill directly
clawhub install zuokun300/amazon-scraper
Manual Installation
# 1. Clone the repository
git clone https://github.com/zuokun300/amazon-scraper.git ~/.openclaw/workspace/skills/amazon-scraper
# 2. Install required Python dependencies
pip3 install openpyxl requests
# 3. Configure your API credentials
export APIFY_API_KEY="your_apify_api_key_here"
Amazon Data Scraper Data Schema & Taxonomy
The skill generates two primary output files to organize its findings:
| File Name | Type | Key Metadata |
|---|---|---|
amazon-data.xlsx |
Excel | Contains raw product data (Ranking, Title, ASIN, Price, Brand) and a statistical summary sheet. |
amazon-report.md |
Markdown | A human-readable summary featuring data overviews, hot product tables, and direct links. |
Schema Fields:
- Ranking: The search result position.
- ASIN: Amazon Standard Identification Number.
- BSR: Best Sellers Rank (available in deep crawl mode).
Amazon Data Scraper Advanced Features
- Deep Crawling Mode: Enable detail-page scraping to capture exact prices, user ratings, review counts, and BSR metrics.
- Scheduled Monitoring: Configure cron jobs to automate daily price tracking and new product alerts.
- Batch Keyword Processing: Analyze multiple product niches simultaneously through custom script configuration.
- Statistical Analysis: Automatic calculation of brand percentage distribution and price range categorization.
- High-Definition Asset Retrieval: Support for extracting high-resolution product imagery for visual analysis as part of the Openclaw Skills workflow.
SKILL.md
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