Monitor product prices across Amazon, eBay, Walmart, and Best Buy to identify arbitrage opportunities and profit margins. Use when finding products to flip, monitoring competitor pricing, tracking pri
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Emerging
Developers
Per week
Open source
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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 scripts/track_product.py python3 scripts/track_product.py \ --product "Apple iPhone 15 Pro 256GB" \ --platforms amazon,ebay \ --alert-below 800 \ --alert-margin 0.20
# Use scripts/bulk_monitor.py python3 scripts/bulk_monitor.py \ --csv products.csv \ --margin-threshold 0.25 \ --alert-frequency daily
# Use scripts/compare_prices.py python3 scripts/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--platforms--alert-below--alert-margin--frequency--outputExample:
python3 scripts/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--platforms--report--sort-by--min-ratingExample:
python3 scripts/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--margin-threshold--alert-frequency--outputExample:
python3 scripts/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--days--platform--output--trend-analysisExample:
python3 scripts/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/scripts/bulk_monitor.py --csv products.csv --output alerts.txtDaily arbitrage scan
0 9 * * * /path/to/price-tracker/scripts/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.
No automatic installation available. Please visit the source repository for installation instructions.
View Installation Instructions
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