name: price-monitor description: Monitor website prices, inventory, and content changes using browser automation. Use when tracking e-commerce prices, competitor monitoring, stock alerts, or any web content change detection. Supports scheduled checks, price history logging, and alert notifications.

Price Monitor

Overview

Automated price and content monitoring skill using agent-browser. Tracks price changes, stock availability, and content updates on any website with configurable alerts and history logging.

Quick Start

# Monitor a product price
agent-browser open "https://example.com/product/123"
agent-browser snapshot -i
agent-browser get text @e1  # Get price element

Core Workflows

1. Single Product Price Check

Use case: Check current price of a specific product

# Navigate to product page
agent-browser open "<product-url>"

# Get page snapshot to find price element
agent-browser snapshot -i

# Extract price (use appropriate ref from snapshot)
agent-browser get text @e1

# Optional: Save to history log
echo "$(date), $(price)" >> price-history.csv

2. Multi-Product Monitoring

Use case: Track prices across multiple products/competitors

Create a products.csv with URLs and price selectors:

url,selector,name
https://site-a.com/product1,.price-tag,Product A
https://site-b.com/item2,#price,Product B

Run monitoring script:

python scripts/monitor_prices.py products.csv

3. Stock/Inventory Alerts

Use case: Get notified when out-of-stock items become available

agent-browser open "<product-url>"
agent-browser snapshot -i
agent-browser get text @e1  # Check for "In Stock" or "Out of Stock"
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4. Price History Tracking

Use case: Build historical price data for analysis

Script automatically logs: - Timestamp - Product name/URL - Current price - Stock status

Output: price-history.csv or JSON format

Scripts

monitor_prices.py

Main monitoring script that: - Reads product list from CSV - Navigates to each URL - Extracts price using CSS selector - Logs results with timestamp - Detects price changes - Optional: Send alerts on significant changes

Usage:

python scripts/monitor_prices.py products.csv [--alert-threshold 10]

Arguments: - products.csv - Product list with URLs and selectors - --alert-threshold - Percentage change to trigger alert (default: 10%)

Configuration

Product List Format (CSV)

url,selector,name,min_price,max_price
https://amazon.com/dp/B08N5WRWNW,.a-price-whole,Sony Headphones,50,150
https://bestbuy.com/site/12345,.priceView-hero-price,TV,200,500

Alert Options

• Email alerts - Configure SMTP settings
• Discord webhook - Post to Discord channel
• File logging - Append to CSV/JSON
• Console output - Print changes to terminal

Best Practices

1. Rate limiting - Add delays between requests (30s+ recommended)
2. Error handling - Handle page load failures gracefully
3. Selector stability - Use stable CSS selectors, avoid dynamic classes
4. Headless mode - Run browser in headless mode for automation
5. Schedule wisely - Check prices during business hours for accuracy

Example: Daily Price Check Cron

# Run every day at 9 AM
0 9 * * * cd /path/to/skill && python scripts/monitor_prices.py products.csv

Troubleshooting

• Element not found: Re-run snapshot to get updated refs
• Price format issues: Adjust selector or parse with regex
• Page load timeout: Increase timeout or add wait condition
• Blocked by site: Add delays, rotate user agents, or use residential proxy

這個價格監控工具功能實用，能有效追蹤電商網站的價格變化。文件說明清晰易懂，示例配置可以直接參考使用。主要優點是操作簡單、自動化程度高。不足是長期執行的穩定性缺乏保障，缺少自動化測試驗證，可能需要使用者自行補充額外的監控和日誌機制來確保可靠性。