price-trackerMonitor 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 price history, identifying arbitrage opportunities, or setting automated price alerts.
Install via ClawdBot CLI:
clawdbot install Michael-laffin/price-trackerTrack 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 markdowncompare_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 scripts/track_product.py \
--product "Samsung Galaxy S24 Ultra 256GB" \
--platforms amazon,ebay,walmart \
--alert-below 900 \
--alert-margin 0.25 \
--frequency daily \
--output markdowncompare_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 scripts/compare_prices.py \
--keyword "PlayStation 5 Slim" \
--platforms amazon,ebay,walmart,bestbuy \
--report markdown \
--sort-by margin \
--min-rating 4.5bulk_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,500,0.18Parameters:
--csv: Path to CSV file--margin-threshold: Minimum margin to report--alert-frequency: Frequency of alerts--output: Output file for alertsExample:
python3 scripts/bulk_monitor.py \
--csv products.csv \
--margin-threshold 0.20 \
--alert-frequency daily \
--output alerts.txtprice_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 scripts/price_history.py \
--product "AirPods Pro 2" \
--days 60 \
--trend-analysis \
--output markdownAlways calculate net profit:
Net Profit = (Sell Price - Buy Price)
- Platform Fees
- Shipping Costs
- Payment Processing Fees
- TaxesRecommended 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.txt
# Daily arbitrage scan
0 9 * * * /path/to/price-tracker/scripts/compare_prices.py --keyword "high-demand-products" --report markdown >> /path/to/reports.txtCombine with notification systems (email, Discord, Telegram) to receive real-time alerts when opportunities are detected.
Revenue first. Track smart. Flip fast.
Generated Mar 1, 2026
Users identify products with significant price differences across platforms like Amazon and eBay, purchase at the lower price, and resell at the higher price to profit from the margin after fees and shipping. This is ideal for electronics or gaming consoles during high-demand periods.
Shoppers track wishlist items such as TVs or headphones to catch price drops during sales events like Black Friday or Prime Day, using historical data to predict optimal buying windows and set automated alerts for thresholds.
Small businesses or sellers monitor competitor prices on platforms like Walmart and Best Buy to adjust their own listings dynamically, ensuring competitiveness and maximizing profit margins in fast-moving markets.
Wholesalers or resellers use bulk monitoring from CSV files to track multiple products across platforms, filtering for high-margin opportunities to source inventory efficiently for flipping or restocking.
Investors or analysts track price history over 60-90 days for items like collectibles or tech gadgets to identify patterns, detect price manipulation, and make data-driven decisions on buying or selling timing.
Offer tiered subscriptions where users pay monthly for access to advanced features like unlimited product tracking, real-time alerts, and detailed arbitrage reports. Revenue is generated through recurring fees from individual flippers or small businesses.
Integrate affiliate links from tracked platforms like Amazon or eBay, earning commissions on purchases made through the tool's recommendations. This adds a passive income stream while providing value to users seeking deals.
Sell customized dashboards and API access to larger retailers or brands for competitor analysis and market intelligence, with pricing based on data volume and features. This targets businesses needing scalable insights for strategic pricing.
💬 Integration Tip
Integrate with existing e-commerce platforms via APIs for real-time data fetching and set up webhook alerts to notify users instantly via email or messaging apps for timely actions.
Shopify integration - currently under maintenance. Contact founders@maton.ai for assistance.
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