Price Tracker

Overview

Track product prices across multiple e-commerce platforms to identify arbitrage opportunities, profit margins, and optimal buying/selling windows. This skill enables automated price monitoring, historical tracking, and revenue-focused decision making.

Core Capabilities

1. Product Discovery & Monitoring

Search and Track Products:

• - Search products by keyword across Amazon, eBay, Walmart, Best Buy
• Add products to monitoring lists
• Set target price thresholds
• Configure alert frequency (hourly, daily, weekly)

Example Request:
"Monitor iPhone 15 Pro prices across Amazon and eBay. Alert me if the price drops below $800 or if eBay listing is $150+ cheaper than Amazon."

2. Arbitrage Analysis

Cross-Platform Comparison:

• - Compare identical product prices across platforms
• Calculate profit margins after fees and shipping
• Identify flip-worthy opportunities (20%+ margin after costs)
• Factor in platform fees, shipping costs, and taxes

Fee Structure Reference:

• - Amazon: ~15% referral fee
• eBay: ~13% final value fee + listing fees
• Walmart: ~8-15% referral fee

Example Request:
"Find Nintendo Switch bundles where eBay price is 20%+ higher than Amazon, accounting for all fees and shipping costs."

3. Historical Price Tracking

Price History:

• - Track price changes over time (30, 60, 90 days)
• Identify seasonal pricing patterns
• Detect price manipulation or flash sales
• Export historical data for analysis

Example Request:
"Show me the price history for AirPods Pro 2 over the last 60 days. Identify the best buying window."

4. Automated Alerts

Alert Configuration:

• - Price drop alerts (below threshold)
• Arbitrage opportunity alerts (margin threshold)
• Competitor price alerts (when competitor lowers price)
• Bulk product monitoring

Example Request:
"Set up alerts for all Sony TV models. Alert me if any model drops below $400 or has 25%+ arbitrage margin."

Quick Start

Track a Single Product

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Bulk Monitor Products from CSV

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Price Comparison Report

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Workflow

Arbitrage Opportunity Discovery

1. 1. Search for products in high-demand categories (electronics, gaming, home goods)
2. Compare prices across all platforms using INLINECODE0
3. Calculate net profit after fees/shipping/taxes
4. Filter opportunities with 20%+ margin
5. Verify product condition and seller reliability
6. Execute or set monitoring for price drops

Price Drop Monitoring

1. 1. Identify target products (wishlist, seasonally discounted items)
2. Set alert thresholds using INLINECODE1
3. Monitor historical patterns to predict optimal buy windows
4. Act when price drops below threshold
5. Repeat for seasonal shopping events (Prime Day, Black Friday)

Scripts

track_product.py

Parameters:

• - --product: Product name/keyword
• INLINECODE4: Comma-separated platforms (amazon,ebay,walmart,bestbuy)
• INLINECODE5: Alert when price drops below this amount
• INLINECODE6: Alert when arbitrage margin exceeds this fraction (e.g., 0.20 = 20%)
• INLINECODE7: Check frequency (hourly,daily,weekly)
• INLINECODE8: Output format (json,csv,markdown)

Example:
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compare_prices.py

Parameters:

• - --keyword: Product search keyword
• INLINECODE11: Comma-separated platforms (default: all)
• INLINECODE12: Report format (markdown,json,csv)
• INLINECODE13: Sort by price, margin, or rating
• INLINECODE14: Minimum seller rating

Example:
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bulk_monitor.py

CSV Format:
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Parameters:

• - --csv: Path to CSV file
• INLINECODE17: Minimum margin to report
• INLINECODE18: Frequency of alerts
• INLINECODE19: Output file for alerts

Example:
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price_history.py

Parameters:

• - --product: Product name/keyword
• INLINECODE22: Number of days of history (default: 30)
• INLINECODE23: Specific platform (optional)
• INLINECODE24: Output format (markdown,json,csv)
• INLINECODE25: Include trend analysis and predictions

Example:
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Best Practices

Arbitrage Profit Calculation

Always calculate net profit:
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Recommended minimum margin: 20-25% to account for:

• - Unexpected shipping delays
• Returns/refunds
• Market price fluctuations
• Time value of money

Risk Mitigation

1. 1. Verify seller reliability - Check ratings and reviews
2. Check product condition - New, refurbished, or used
3. Factor in return windows - Platforms have different policies
4. Monitor price stability - Volatile prices increase risk
5. Stay within limits - Don't over-leverage on single opportunities

Seasonal Patterns

• - Q4 (Oct-Dec): Holiday sales, best for electronics
• January: Post-holiday clearance
• Prime Day (July): Amazon-specific deals
• Black Friday/Cyber Monday: Cross-platform discounts
• Back-to-School (Aug-Sep): Laptops, tablets, accessories

Automation Integration

Set Up Cron Jobs for Automated Monitoring

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Integration with Notifications

Combine with notification systems (email, Discord, Telegram) to receive real-time alerts when opportunities are detected.

Limitations

• - Platform API rate limits may affect search frequency
• Real-time prices may have slight delays
• Some platforms restrict scraping (comply with ToS)
• Seller inventory changes rapidly