Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Amazon Product Search Api Skill
Automatically extract detailed Amazon product data by keywords, brand, language, and quantity for market research, price tracking, and catalog building.
skill openclawclawhub Free
Automatically extract detailed Amazon product data by keywords, brand, language, and quantity for market research, price tracking, and catalog building.
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_search_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
- 0.1.0
Provenance
- Publisher
- phheng
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
๐ Introduction
This skill provides a one-stop product data collection service through BrowserAct's Amazon Product Search API template. It directly extracts structured product results from Amazon search lists. Simply input search keywords, brand filters, and quantity limits to get clean, usable product data.
โจ Features
No Hallucinations, Ensuring Stable and Accurate Data Extraction: Preset workflows avoid AI generative hallucinations. No CAPTCHA Issues: Built-in bypass mechanisms, no need to handle reCAPTCHA or other verification challenges. No IP Access Restrictions or Geofencing: Breaks through regional IP restrictions to ensure stable global access. Faster Execution Speed: Compared to pure AI-driven browser automation solutions, task execution is faster. High Cost-Efficiency: Significantly reduces data acquisition costs compared to high-token-consuming AI solutions.
๐ API Key Guidance
Before running, check the BROWSERACT_API_KEY environment variable. If it is not set, do not take other measures; instead, request and wait for the user to provide it. The Agent must inform the user at this point: "Since you have not configured the BrowserAct API Key, please go to the BrowserAct Console to get your Key and provide it to me in this dialog."
๐ ๏ธ Input Parameters Detail
When calling the script, the Agent should flexibly configure the following parameters based on user needs: KeyWords (Search Keywords) Type: string Description: The keywords the user wants to search for on Amazon. Example: phone, wireless earbuds, laptop stand Brand (Brand Filter) Type: string Description: Filter products by brand name shown in the listing. Example: Apple, Samsung, Sony Maximum_date (Maximum Products) Type: number Description: The maximum number of products to extract across paginated search results. Default: 50 language (UI Language) Type: string Description: UI language for the Amazon browsing session. Options: en, de, fr, it, es, ja, zh-CN, zh-TW Default: en
๐ Call Method (Recommended)
The Agent should execute the following independent script to achieve "one-line command for results": # Example Call python -u ./.cursor/skills/amazon-product-search-api-skill/scripts/amazon_product_search_api.py "Keywords" "Brand" Quantity "language"
โณ Running Status Monitoring
Since this task involves automated browser operations, it may take a long time (several minutes). The script will continuously output status logs with timestamps while running (e.g., [14:30:05] Task Status: running). Agent Notes: Keep an eye on the terminal output while waiting for the script to return results. As long as the terminal is outputting new status logs, the task is running normally; do not misjudge it as a deadlock or unresponsiveness. If the status remains unchanged for a long time or the script stops outputting without returning results, consider triggering a retry mechanism.
๐ Output Data Description
After successful execution, the script will parse and print results directly from the API response. Results include: product_title: Product name product_url: Detail page URL rating_score: Average star rating review_count: Total number of reviews monthly_sales: Estimated monthly sales (if available) current_price: Current selling price list_price: Original list price (if available) delivery_info: Delivery or fulfillment information shipping_location: Shipping origin or location is_best_seller: Whether marked as Best Seller is_available: Whether available for purchase
โ ๏ธ Error Handling & Retry Mechanism
If an error is encountered during script execution (e.g., network fluctuations or task failure), the Agent should follow this logic: Check Output Content: If the output contains "Invalid authorization", the API Key is invalid or expired. Do not retry; instead, guide the user to recheck and provide the correct API 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 try to re-execute the script once. Retry Limit: Automatic retry is limited to once. If the second attempt still fails, stop retrying and report the specific error information to the user.
๐ Typical Use Cases
Market Research: Search for "wireless earbuds" from "Sony" to analyze the current market. Competitive Monitoring: Track "Samsung" phone prices and availability on Amazon. Catalog Discovery: Gather product titles and URLs for a new product catalog in the "laptop stand" category. Localized Analysis: Search Amazon in "ja" (Japanese) to understand products available in the Japan region. Best Seller Tracking: Identify products marked as "Best Seller" for a specific brand. Pricing Intelligence: Compare current_price and list_price to monitor discounts. Sales Trend Estimation: Use monthly_sales data to estimate market demand for certain items. Shipping Efficiency Study: Analyze delivery_info and shipping_location for various brands. Large-scale Data Extraction: Collect up to 100 products for a comprehensive dataset. Product Availability Check: Verify if specific brand products are currently is_available for purchase.
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_search_api.py