Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Price Tracker
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 price history, identifying arbitrage opportunities, or setting automated price alerts.
skill openclawclawhub Free
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 price history, identifying arbitrage opportunities, or setting automated price alerts.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/__init__.py, scripts/bulk_monitor.py, scripts/compare_prices.py, scripts/price_history.py, scripts/track_product.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- Michael-laffin
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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.
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."
Track a Single Product
# 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
Bulk Monitor Products from CSV
# Use scripts/bulk_monitor.py python3 scripts/bulk_monitor.py \ --csv products.csv \ --margin-threshold 0.25 \ --alert-frequency daily
Price Comparison Report
# Use scripts/compare_prices.py python3 scripts/compare_prices.py \ --keyword "Sony WH-1000XM5" \ --platforms amazon,ebay,walmart,bestbuy \ --report markdown
Arbitrage Opportunity Discovery
Search for products in high-demand categories (electronics, gaming, home goods) Compare prices across all platforms using compare_prices.py Calculate net profit after fees/shipping/taxes Filter opportunities with 20%+ margin Verify product condition and seller reliability Execute or set monitoring for price drops
Price Drop Monitoring
Identify target products (wishlist, seasonally discounted items) Set alert thresholds using track_product.py Monitor historical patterns to predict optimal buy windows Act when price drops below threshold Repeat for seasonal shopping events (Prime Day, Black Friday)
track_product.py
Track 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 markdown
compare_prices.py
Compare 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 rating Example: 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.py
Monitor 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 alerts Example: python3 scripts/bulk_monitor.py \ --csv products.csv \ --margin-threshold 0.20 \ --alert-frequency daily \ --output alerts.txt
price_history.py
Retrieve 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 predictions Example: python3 scripts/price_history.py \ --product "AirPods Pro 2" \ --days 60 \ --trend-analysis \ --output markdown
Arbitrage Profit Calculation
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: Unexpected shipping delays Returns/refunds Market price fluctuations Time value of money
Risk Mitigation
Verify seller reliability - Check ratings and reviews Check product condition - New, refurbished, or used Factor in return windows - Platforms have different policies Monitor price stability - Volatile prices increase risk 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
Set Up Cron Jobs for Automated Monitoring
# 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.txt
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 Revenue first. Track smart. Flip fast.
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
5 Scripts1 Docs
- SKILL.md
- scripts/__init__.py
- scripts/bulk_monitor.py
- scripts/compare_prices.py
- scripts/price_history.py
- scripts/track_product.py