Amazon product api skill

--- name: amazon-product-api-skill description: "Thisskill helps users extract structured product listings from Amazon, including titles, ASINs, prices, ratings, and specifications. Use thisskill when users want to search for products on Amazon, find the best-selling brand products, track price changes for items, get a list of categories with high ratings, compare different brand products on Amazon, extract Amazon product data for market research, search for products in a specific language or marketplace, analyze competitor pricing for keywords, find featured products for search terms, and retrieve technical specifications:such as material or color:for product lists." metadata: {"openclaw":{"emoji":"🌐","requires":{"bins":["python"],"env":["BROWSERACTAPIKEY "]}}} --- # Amazon Product Search Skill ## 📖 Introduction Thisskill utilizes BrowserAct’s Amazon ProductAPI 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-workflows , avoid AI-generated hallucinations, ensuring stable and precise data extraction. 2. No CAPTCHA Issues: No need to deal withreCAPTCHA or other verification challenges. 3. No IP Restrictions: No need to deal with regional IP restrictions or geofencing. 4. Faster Execution: Tasks execute faster compared to purely AI-driven browser automation solutions. 5. Cost-Effective: Significantly reduces data acquisition costs compared to AI solutions that consume large amounts of tokens. ## 🔑 Setting Up theAPI Key Before running, check the `BROWSERACT_API_KEY environment variable. If it is not set, do not take any further action; ask the user to provide it and wait for their response. **The agent must inform the user**: > "Since you haven't configured the BrowserActAPI Key, please visit the [BrowserAct Console](https://www.browseract.com/reception/integrations ) to get your Key." ## 🛠️ Input Parameters agent s 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 The agent should use the following standalone script to achieve a "one-line command result": `bash # 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. - pricecurrentamount: Current price. - priceoriginalamount: 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, mat