Amazon Product Scraper for Openclaw

An automated data extraction tool that uses a built-in browser to scrape Amazon listings and generate comprehensive competitor analysis reports.

denicmic-chung
v1.0.0
Mar 1, 2026
2
1.8k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install amazon-product-scraper

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install amazon-product-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 Product Scraper?

The Amazon Product Scraper is a technical utility designed to streamline market research by deep-parsing Amazon product pages. By leveraging the browser automation capabilities of Openclaw Skills, it navigates to specific ASINs or URLs to capture everything from pricing and sales rankings to detailed technical specifications. It is engineered to transform raw web data into professional, structured Markdown reports for immediate business use.

This skill is particularly valuable for sellers and researchers who need to monitor market trends without manual data entry. It ensures high data integrity by capturing full product descriptions, variant pricing, and seller information directly from the source using Openclaw Skills architecture.

Amazon Product Scraper Use Cases

  • Creating detailed competitor analysis reports for specific ASINs to identify market gaps.
  • Monitoring pricing fluctuations and discount strategies of rival Amazon listings.
  • Extracting full 'About this item' bullet points and technical specs for product optimization.
  • Tracking Best Sellers Rank (BSR) across multiple categories to gauge product performance.
  • Archiving product snapshots and seller metadata for historical market research.

How Amazon Product Scraper Works

  1. The skill receives a trigger such as an ASIN (e.g., B0D3ZBFMW6) or a direct Amazon product URL.
  2. It initializes the built-in browser within Openclaw Skills to navigate to the target product page.
  3. The system waits 3-5 seconds for the page content, including dynamic JavaScript elements, to load fully.
  4. A complete DOM snapshot is captured to ensure all data points, including those below the fold, are accessible.
  5. The scraper extracts key metadata including price, BSR, brand, manufacturer, and variant details.
  6. Data is processed through a structured template to generate a comprehensive Markdown report including a SWOT analysis.
  7. The final report is saved to the local memory directory and presented to the user for review.

Amazon Product Scraper Setup

To use the Amazon Product Scraper, ensure your environment is configured with the necessary browser tools. No external API keys are required as it uses the native browser integration of Openclaw Skills.

# No additional installation required if browser tools are active.
# Simply prompt the agent with:
# "Analyze the Amazon product B0D3ZBFMW6"

Amazon Product Scraper Data Schema & Taxonomy

The skill generates structured reports saved in the memory/ directory using the naming convention competitor-analysis-report-{ASIN}.md. The data is organized into the following sections:

Section Extracted Fields
Basic Info ASIN, Title, Brand, Manufacturer, Launch Date, Seller
Price Info Current Price, Original Price, Discount, Prime Eligibility
Ranking BSR Main Category, BSR Sub-category, Monthly Sales, Amazon's Choice
Variants Package options, variant pricing, and inventory status
Specs Full technical specifications table
Features Complete 'About this item' bullet points including emojis

Amazon Product Scraper Advanced Features

  • Intelligent anti-scraping bypass that utilizes multi-step loading and retry logic.
  • Automated vertical scrolling to ensure data like BSR, which is often lazy-loaded, is correctly captured.
  • Full preservation of rich text, including emojis and complex sentence structures, in product descriptions.
  • Support for multi-variant listings to compare pricing and inventory across different SKU options.
  • Integration with local memory for persistent storage of competitive intelligence within Openclaw Skills.

SKILL.md


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