Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Amazon Product Api Skill
This skill helps users extract structured product listings from Amazon, including titles, ASINs, prices, ratings, and specifications. Use this skill when use...
skill openclawclawhub Free
This skill helps users extract structured product listings from Amazon, including titles, ASINs, prices, ratings, and specifications. Use this skill when use...
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/amazon_product_api.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.1
Provenance
- Publisher
- phheng
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
๐ 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.
โจ Features
No Hallucinations, Reliable Data: Uses a pre-defined workflow to ensure accurate data extraction without AI-generated errors. No CAPTCHA Challenges: Built-in mechanisms bypass reCAPTCHA and other bot detection systems. Global Access, No Geo-fencing: Overcomes IP restrictions to ensure stable access from any location. Fast Execution: More efficient than general-purpose AI browser automation. Cost-Effective: Reduces data acquisition costs compared to high-token consumption AI models.
๐ API Key Workflow
Before running the skill, the BROWSERACT_API_KEY environment variable must be checked. If it is not set, do not proceed; instead, request the key from the user. Agent Instruction: "Since you haven't configured the BrowserAct API Key yet, please go to the BrowserAct Console to get your Key and provide it here."
๐ ๏ธ Input Parameters
The agent should configure the following parameters based on user requirements: KeyWords Type: string Description: Search keywords used to find products on Amazon. Required: Yes Example: laptop, wireless earbuds Brand Type: string Description: Filter products by brand name. Default: Apple Example: Dell, Samsung Maximum_number_of_page_turns Type: number Description: Number of search result pages to paginate through. Default: 1 language Type: string Description: UI language for the Amazon browsing session. Default: en Example: zh-CN, de
๐ Usage (Recommended)
The agent should execute the following script to get results in one command: # Example Usage python -u ./scripts/amazon_product_api.py "keywords" "brand" pages "language"
โณ Progress Monitoring
Since this task involves automated browser operations, it may take a few minutes. The script outputs real-time timestamped status logs (e.g., [14:30:05] Task Status: running). Agent Note: Monitor the terminal output while waiting for results. As long as new status logs are appearing, the task is running normally. Only consider retrying if the status remains unchanged for a long period or the script stops without output.
๐ Output Data Description
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).
โ ๏ธ Error Handling & Retry Mechanism
If an error occurs during execution, the agent should follow this logic: Check Output: If the output contains "Invalid authorization", the API Key is invalid. Do not retry; ask the user to provide a valid key. If the output does not contain "Invalid authorization" but the task fails (e.g., output starts with Error: or returns empty results), the agent should automatically retry once. Retry Limit: Automatic retry is limited to once. If it fails again, stop and report the error to the user.
๐ Typical Use Cases
Market Research: Search for a specific product category to analyze top brands and pricing. Competitor Monitoring: Track product listings and price changes for specific competitor brands. Product Catalog Enrichment: Extract structured details like ASINs and specifications to build or update a product database. Rating Analysis: Find high-rated products for specific keywords to identify market leaders. Localized Research: Search Amazon in different languages to analyze international markets. Price Tracking: Monitor current and original prices to identify discount trends. Brand Performance: Evaluate the presence of a specific brand in search results across multiple pages. Attribute Extraction: Gather technical specifications like material or color for a list of products. Lead Generation: Identify popular products and their manufacturers for business outreach. Automated Data Feed: Periodically pull Amazon search results into external BI tools or dashboards.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- scripts/amazon_product_api.py