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...

Security Scan

The skill's code, instructions, and required environment variable are consistent with its stated purpose (calling the BrowserAct Amazon product workflow); it asks only for a BrowserAct API key and Python, and does not perform unrelated or hidden actions.

Purpose & Capability

The skill claims to extract Amazon product listings and the included script calls BrowserAct's workflow API (https://api.browseract.com/v2/workflow) using a TEMPLATE_ID. Requiring Python and a BROWSERACT_API_KEY is proportionate and expected for this purpose.

Instruction Scope

SKILL.md instructs the agent to run the bundled Python script, monitor logs, handle one retry on non-auth errors, and prompt the user for the BrowserAct API key if missing. The instructions do not request unrelated files, system credentials, or exfiltrate data to unexpected endpoints.

Install Mechanism

No install spec is present (instruction-only plus a small script). The skill requires an existing Python binary only, which is low risk and consistent with the provided script.

Credentials

Only a single environment variable (BROWSERACT_API_KEY) is required and the script uses it directly for API Authorization. No other secrets, config paths, or unrelated credentials are requested or referenced.

Persistence & Privilege

The skill is not always-enabled, does not modify other skills or system configuration, and does not request persistent elevated privileges.

Assessment

This skill appears to do what it claims: it sends your search parameters to BrowserAct and fetches results via their workflow API. Before installing: (1) Only provide a BrowserAct API key you trust—treat it like a secret. (2) Be aware that running the script causes network requests to BrowserAct (and through them to Amazon), so consider data-sensitivity and company policy. (3) Confirm BrowserAct (https://www.browseract.com) and the TEMPLATE_ID meet your compliance needs and that use of scraped product data complies with Amazon's terms. (4) Run first tests in an isolated environment if you want to observe behavior and network traffic before broad use.

Amazon Product Search Skill

📖 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.

✨ Features

1. No Hallucinations: Pre-set workflows avoid AI generative hallucinations, ensuring stable and precise data extraction.
2. No Captcha Issues: No need to handle reCAPTCHA or other verification challenges.
3. No IP Restrictions: No need to handle regional IP restrictions or geofencing.
4. Faster Execution: Tasks execute faster compared to pure AI-driven browser automation solutions.
5. Cost-Effective: Significantly lowers data acquisition costs compared to high-token-consuming AI solutions.

🔑 API Key Setup

Before running, check the BROWSERACT_API_KEY environment variable. If not set, do not take other measures; ask and wait for the user to provide it. Agent must inform the user:

"Since you haven't configured the BrowserAct API Key, please visit the BrowserAct Console to get your Key."

🛠️ Input Parameters

The agent should configure the following parameters based on user requirements:

1. KeyWords

   • Type: string
   • Description: Search keywords used to find products on Amazon.
   • Required: Yes
   • Example: laptop, wireless earbuds

2. Brand

   • Type: string
   • Description: Filter products by brand name.
   • Default: Apple
   • Example: Dell, Samsung

3. Maximum_number_of_page_turns

   • Type: number
   • Description: Number of search result pages to paginate through.
   • Default: 1

4. language

   • Type: string
   • Description: UI language for the Amazon browsing session.
   • Default: en
   • Example: zh-CN, de

🚀 Usage

Agent should use the following independent script to achieve "one-line command result":

# Example Usage
python -u ./scripts/amazon_product_api.py "keywords" "brand" pages "language"

⏳ Execution Monitoring

Since this task involves automated browser operations, it may take some time (several minutes). The script will continuously output status logs with timestamps (e.g., [14:30:05] Task Status: running). Agent Instructions:

• While waiting for the script result, keep monitoring the terminal output.
• As long as the terminal is outputting new status logs, the task is running normally; do not mistake it for a deadlock or unresponsiveness.
• Only if the status remains unchanged for a long time or the script stops outputting without returning a result should you consider triggering the retry mechanism.

📊 Data Output

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).

⚠️ Error Handling & Retry

If an error occurs during script execution (e.g., network fluctuations or task failure), the Agent should follow this logic:

1. Check Output Content:

   • If the output contains "Invalid authorization", it means the API Key is invalid or expired. Do not retry; guide the user to re-check and provide the correct API Key.
   • If the output does not contain "Invalid authorization" but the task failed (e.g., output starts with Error: or returns empty results), the Agent should automatically try to re-execute the script once.

2. Retry Limit:

   • Automatic retry is limited to one time. If the second attempt fails, stop retrying and report the specific error information to the user.

🌟 Typical Use Cases

1. Market Research: Search for a specific product category to analyze top brands and pricing.
2. Competitor Monitoring: Track product listings and price changes for specific competitor brands.
3. Product Catalog Enrichment: Extract structured details like ASINs and specifications to build or update a product database.
4. Rating Analysis: Find high-rated products for specific keywords to identify market leaders.
5. Localized Research: Search Amazon in different languages to analyze international markets.
6. Price Tracking: Monitor current and original prices to identify discount trends.
7. Brand Performance: Evaluate the presence of a specific brand in search results across multiple pages.
8. Attribute Extraction: Gather technical specifications like material or color for a list of products.
9. Lead Generation: Identify popular products and their manufacturers for business outreach.
10. Automated Data Feed: Periodically pull Amazon search results into external BI tools or dashboards.