amazon-best-selling-products-finder-api-skill

This skill helps users extract structured best-selling product data from Amazon via the BrowserAct API. Agent should proactively apply this skill when users...

Security Scan

The skill's code and instructions match the stated purpose (calling BrowserAct to scrape Amazon), but there are a few coherence and provenance gaps—most notably the source is unknown and the Python dependency on the 'requests' package is not declared in the metadata or SKILL.md.

Purpose & Capability

Name, description, SKILL.md, and the included script all consistently implement a BrowserAct-based Amazon best-sellers extractor. Required env var (BROWSERACT_API_KEY) and required binary (python) are appropriate for the claimed function.

Instruction Scope

SKILL.md instructs the agent to check for BROWSERACT_API_KEY, request it from the user if missing, and run the provided Python script with keywords, limit, and marketplace URL. The script only accesses the BrowserAct API and prints results; it does not attempt to read unrelated files or environment variables.

Install Mechanism

This is an instruction-only skill with a bundled script (no install spec). The script uses the third-party 'requests' library but the metadata/SKILL.md do not declare installing that dependency or a pip install step. That mismatch may cause runtime failures and is a minor incoherence.

Credentials

Only BROWSERACT_API_KEY is required. That is proportional to a service that authenticates to BrowserAct. The script will send the API key and user-supplied search parameters to api.browseract.com, which is expected for this functionality.

Persistence & Privilege

always is false, the skill is user-invocable only, and it does not modify other skills or system-wide configuration. It runs as a one-off script and does not request persistent privileges.

What to consider before installing

This skill appears to do what it says (call BrowserAct to extract Amazon product data), but consider the following before installing: - Provenance: the package has no homepage and an unknown source. Prefer skills from known authors or with verifiable project pages. - API key exposure: the BROWSERACT_API_KEY you provide will be sent to api.browseract.com. Only provide that key if you trust BrowserAct and understand their privacy/usage policies. - Dependencies: the script requires the Python 'requests' library though it's not declared in the metadata or SKILL.md. Ensure your agent environment has requests installed (pip install requests) or the script will fail. - Cost/Rate limits: BrowserAct workflows may incur usage costs or rate limits—verify pricing and quotas on BrowserAct before running large extractions. - Inspect network behavior: if you have operational concerns, run the script in an isolated environment and monitor outbound traffic to confirm it only communicates with BrowserAct endpoints. If you want to proceed safely: ask the skill author for a homepage or source repository, confirm expected dependencies, and only provide the API key once you are comfortable with BrowserAct's terms.

📖 Skill Introduction

This skill provides users with a one-stop product data extraction service using the BrowserAct Amazon Best Selling Products Finder API template. It can directly extract structured best-selling product data from Amazon. By inputting search keywords, data limit, and marketplace URL, you can easily get clean and usable product data including titles, prices, ratings, reviews, sales volume, and promotional details.

✨ Features

1. No hallucinations, ensuring stable and precise data extraction: Preset workflows avoid AI generative hallucinations.
2. No CAPTCHA issues: No need to handle reCAPTCHA or other verification challenges.
3. No IP access restrictions and geofencing: No need to handle regional IP restrictions.
4. More agile execution speed: Compared to pure AI-driven browser automation solutions, task execution is faster.
5. Extremely high cost-effectiveness: Significantly reduces data acquisition costs compared to AI solutions that consume a large number of Tokens.

🔑 API Key Guide Flow

Before running, first check the BROWSERACT_API_KEY environment variable. If it is not set, do not take other actions; require and wait for the user to collaborate to provide it. The Agent must inform the user at this time:

"Since you have not configured the BrowserAct API Key yet, please go to the BrowserAct Console to get your Key."

🛠️ Input Parameters

When calling the script, the Agent should flexibly configure the following parameters based on user needs:

1. KeyWords

   • Type: string
   • Description: Search keywords used to find Amazon products.
   • Example: iphone 17 pro max, gaming mouse, running shoes

2. Date_limit

   • Type: number
   • Description: Maximum number of products to extract.
   • Default: 10
   • Recommendation: Set to a lower number for quick checks, or higher for comprehensive analysis.

3. Marketplace_url

   • Type: string
   • Description: Amazon marketplace URL for region-specific searches.
   • Default: https://www.amazon.com
   • Example: https://www.amazon.co.uk, https://www.amazon.de

🚀 Call Method (Recommended)

The Agent should execute the following standalone script to achieve "one command to get results":

# Call example
python -u ./scripts/amazon_best_selling_products_finder_api.py "search keywords" limit "marketplace_url"

⏳ 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 (e.g. [14:30:05] Task Status: running) during execution. Agent notice:

• While waiting for the script to return the result, please keep an eye on the terminal output.
• As long as the terminal is still outputting new status logs, it means the task is running normally. Please do not mistakenly judge it as a deadlock or unresponsive.
• If the status remains unchanged for a long time or the script stops outputting and no result is returned, the retry mechanism can be triggered.

📊 Data Output Description

After successful execution, the script will parse and print the result directly from the API response. The result contains:

• title: Product title
• brand: Brand name
• list_price: Original list price
• current_price: Current selling price
• star_rating: Average star rating
• review_count: Total review count
• past_month_sales: Sales volume in the past month
• availability: Stock status
• promotion: Promotional offers
• asin: Amazon Standard Identification Number
• category: Product category
• badge: Badges like Amazon's Choice
• product_url: Direct link to the product

⚠️ Error Handling & Retry Mechanism

During the execution of the script, if an error occurs (such as network fluctuation or task failure), the Agent should follow this logic:

1. Check the output content:

   • If the output contains "Invalid authorization", it means the API Key is invalid or expired. At this time, do not retry, and guide the user to recheck and provide the correct API Key.
   • If the output does not contain "Invalid authorization" but the task execution fails (for example, the output starts with Error: or the returned result is empty), the Agent should automatically try to execute the script again once.

2. Retry limit:

   • Automatic retry is limited to once. If the second attempt still fails, stop retrying and report the specific error message to the user.

🌟 Typical Use Cases

1. Market Research: Extract product listings and ratings to analyze the current market for specific keywords.
2. Competitor Analysis: Monitor competitor pricing, discounts, and sales volume over time.
3. Trending Products Discovery: Find the best-selling and highly rated products within a specific category.
4. Price Monitoring: Track current prices and list prices to optimize purchasing strategies.
5. Cross-Region Analysis: Compare product availability and pricing across different Amazon marketplaces.