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Monitor and compare product prices across Amazon, eBay, Walmart, and Best Buy.
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Based on SOC occupation classification
| name | price-tracker |
| description | Monitor and compare product prices across Amazon, eBay, Walmart, and Best Buy. |
| metadata | {} |
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.
Search and Track Products:
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."
Cross-Platform Comparison:
Fee Structure Reference:
Example Request: "Find Nintendo Switch bundles where eBay price is 20%+ higher than Amazon, accounting for all fees and shipping costs."
Price History:
Example Request: "Show me the price history for AirPods Pro 2 over the last 60 days. Identify the best buying window."
Alert Configuration:
Example Request: "Set up alerts for all Sony TV models. Alert me if any model drops below $400 or has 25%+ arbitrage margin."
# Use ./track_product.py
python3 ./track_product.py \
--product "Apple iPhone 15 Pro 256GB" \
--platforms amazon,ebay \
--alert-below 800 \
--alert-margin 0.20
# Use ./bulk_monitor.py
python3 ./bulk_monitor.py \
--csv products.csv \
--margin-threshold 0.25 \
--alert-frequency daily
# Use ./compare_prices.py
python3 ./compare_prices.py \
--keyword "Sony WH-1000XM5" \
--platforms amazon,ebay,walmart,bestbuy \
--report markdown
compare_prices.pytrack_product.pytrack_product.pyTrack a single product across platforms with configurable alerts.
Parameters:
--product: Product name/keyword--platforms: Comma-separated platforms (amazon,ebay,walmart,bestbuy)--alert-below: Alert when price drops below this amount--alert-margin: Alert when arbitrage margin exceeds this fraction (e.g., 0.20 = 20%)--frequency: Check frequency (hourly,daily,weekly)--output: Output format (json,csv,markdown)Example:
python3 ./track_product.py \
--product "Samsung Galaxy S24 Ultra 256GB" \
--platforms amazon,ebay,walmart \
--alert-below 900 \
--alert-margin 0.25 \
--frequency daily \
--output markdown
compare_prices.pyCompare prices for a product across all platforms.
Parameters:
--keyword: Product search keyword--platforms: Comma-separated platforms (default: all)--report: Report format (markdown,json,csv)--sort-by: Sort by price, margin, or rating--min-rating: Minimum seller ratingExample:
python3 ./compare_prices.py \
--keyword "PlayStation 5 Slim" \
--platforms amazon,ebay,walmart,bestbuy \
--report markdown \
--sort-by margin \
--min-rating 4.5
bulk_monitor.pyMonitor multiple products from a CSV file.
CSV Format:
product,platforms,alert_below,alert_margin
"Apple MacBook Air M3 256GB",amazon,ebay,walmart,899,0.20
"Sony PlayStation 5",amazon,ebay,399,0.25
"Dyson V15 Detect",amazon,walmart,bestbuy,500,0.18
Parameters:
--csv: Path to CSV file--margin-threshold: Minimum margin to report--alert-frequency: Frequency of alerts--output: Output file for alertsExample:
python3 ./bulk_monitor.py \
--csv products.csv \
--margin-threshold 0.20 \
--alert-frequency daily \
--output alerts.txt
price_history.pyRetrieve and analyze historical price data.
Parameters:
--product: Product name/keyword--days: Number of days of history (default: 30)--platform: Specific platform (optional)--output: Output format (markdown,json,csv)--trend-analysis: Include trend analysis and predictionsExample:
python3 ./price_history.py \
--product "AirPods Pro 2" \
--days 60 \
--trend-analysis \
--output markdown
Always calculate net profit:
Net Profit = (Sell Price - Buy Price)
- Platform Fees
- Shipping Costs
- Payment Processing Fees
- Taxes
Recommended minimum margin: 20-25% to account for:
# Check prices every 6 hours
0 */6 * * * /path/to/price-tracker/bulk_monitor.py --csv products.csv --output alerts.txt
# Daily arbitrage scan
0 9 * * * /path/to/price-tracker/compare_prices.py --keyword "high-demand-products" --report markdown >> /path/to/reports.txt
Combine with notification systems (email, Discord, Telegram) to receive real-time alerts when opportunities are detected.
Revenue first. Track smart. Flip fast.
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