{
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  "item": {
    "slug": "price-tracker",
    "name": "Price Tracker",
    "source": "tencent",
    "type": "skill",
    "category": "数据分析",
    "sourceUrl": "https://clawhub.ai/Michael-laffin/price-tracker",
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    "sourcePlatform": "tencent",
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    "extraction": "Extract archive",
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      "OpenClaw"
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    "includedAssets": [
      "SKILL.md",
      "scripts/__init__.py",
      "scripts/bulk_monitor.py",
      "scripts/compare_prices.py",
      "scripts/price_history.py",
      "scripts/track_product.py"
    ],
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      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
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      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "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."
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          "body": "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."
        },
        {
          "label": "Upgrade existing",
          "body": "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."
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      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/price-tracker"
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        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
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        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
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    "downloadPageUrl": "https://openagent3.xyz/downloads/price-tracker",
    "agentPageUrl": "https://openagent3.xyz/skills/price-tracker/agent",
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    "briefUrl": "https://openagent3.xyz/skills/price-tracker/agent.md"
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  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "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."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "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."
      },
      {
        "label": "Upgrade existing",
        "body": "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."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Overview",
        "body": "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."
      },
      {
        "title": "1. Product Discovery & Monitoring",
        "body": "Search and Track Products:\n\nSearch products by keyword across Amazon, eBay, Walmart, Best Buy\nAdd products to monitoring lists\nSet target price thresholds\nConfigure alert frequency (hourly, daily, weekly)\n\nExample Request:\n\"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.\""
      },
      {
        "title": "2. Arbitrage Analysis",
        "body": "Cross-Platform Comparison:\n\nCompare identical product prices across platforms\nCalculate profit margins after fees and shipping\nIdentify flip-worthy opportunities (20%+ margin after costs)\nFactor in platform fees, shipping costs, and taxes\n\nFee Structure Reference:\n\nAmazon: ~15% referral fee\neBay: ~13% final value fee + listing fees\nWalmart: ~8-15% referral fee\n\nExample Request:\n\"Find Nintendo Switch bundles where eBay price is 20%+ higher than Amazon, accounting for all fees and shipping costs.\""
      },
      {
        "title": "3. Historical Price Tracking",
        "body": "Price History:\n\nTrack price changes over time (30, 60, 90 days)\nIdentify seasonal pricing patterns\nDetect price manipulation or flash sales\nExport historical data for analysis\n\nExample Request:\n\"Show me the price history for AirPods Pro 2 over the last 60 days. Identify the best buying window.\""
      },
      {
        "title": "4. Automated Alerts",
        "body": "Alert Configuration:\n\nPrice drop alerts (below threshold)\nArbitrage opportunity alerts (margin threshold)\nCompetitor price alerts (when competitor lowers price)\nBulk product monitoring\n\nExample Request:\n\"Set up alerts for all Sony TV models. Alert me if any model drops below $400 or has 25%+ arbitrage margin.\""
      },
      {
        "title": "Track a Single Product",
        "body": "# Use scripts/track_product.py\npython3 scripts/track_product.py \\\n  --product \"Apple iPhone 15 Pro 256GB\" \\\n  --platforms amazon,ebay \\\n  --alert-below 800 \\\n  --alert-margin 0.20"
      },
      {
        "title": "Bulk Monitor Products from CSV",
        "body": "# Use scripts/bulk_monitor.py\npython3 scripts/bulk_monitor.py \\\n  --csv products.csv \\\n  --margin-threshold 0.25 \\\n  --alert-frequency daily"
      },
      {
        "title": "Price Comparison Report",
        "body": "# Use scripts/compare_prices.py\npython3 scripts/compare_prices.py \\\n  --keyword \"Sony WH-1000XM5\" \\\n  --platforms amazon,ebay,walmart,bestbuy \\\n  --report markdown"
      },
      {
        "title": "Arbitrage Opportunity Discovery",
        "body": "Search for products in high-demand categories (electronics, gaming, home goods)\nCompare prices across all platforms using compare_prices.py\nCalculate net profit after fees/shipping/taxes\nFilter opportunities with 20%+ margin\nVerify product condition and seller reliability\nExecute or set monitoring for price drops"
      },
      {
        "title": "Price Drop Monitoring",
        "body": "Identify target products (wishlist, seasonally discounted items)\nSet alert thresholds using track_product.py\nMonitor historical patterns to predict optimal buy windows\nAct when price drops below threshold\nRepeat for seasonal shopping events (Prime Day, Black Friday)"
      },
      {
        "title": "track_product.py",
        "body": "Track a single product across platforms with configurable alerts.\n\nParameters:\n\n--product: Product name/keyword\n--platforms: Comma-separated platforms (amazon,ebay,walmart,bestbuy)\n--alert-below: Alert when price drops below this amount\n--alert-margin: Alert when arbitrage margin exceeds this fraction (e.g., 0.20 = 20%)\n--frequency: Check frequency (hourly,daily,weekly)\n--output: Output format (json,csv,markdown)\n\nExample:\n\npython3 scripts/track_product.py \\\n  --product \"Samsung Galaxy S24 Ultra 256GB\" \\\n  --platforms amazon,ebay,walmart \\\n  --alert-below 900 \\\n  --alert-margin 0.25 \\\n  --frequency daily \\\n  --output markdown"
      },
      {
        "title": "compare_prices.py",
        "body": "Compare prices for a product across all platforms.\n\nParameters:\n\n--keyword: Product search keyword\n--platforms: Comma-separated platforms (default: all)\n--report: Report format (markdown,json,csv)\n--sort-by: Sort by price, margin, or rating\n--min-rating: Minimum seller rating\n\nExample:\n\npython3 scripts/compare_prices.py \\\n  --keyword \"PlayStation 5 Slim\" \\\n  --platforms amazon,ebay,walmart,bestbuy \\\n  --report markdown \\\n  --sort-by margin \\\n  --min-rating 4.5"
      },
      {
        "title": "bulk_monitor.py",
        "body": "Monitor multiple products from a CSV file.\n\nCSV Format:\n\nproduct,platforms,alert_below,alert_margin\n\"Apple MacBook Air M3 256GB\",amazon,ebay,walmart,899,0.20\n\"Sony PlayStation 5\",amazon,ebay,399,0.25\n\"Dyson V15 Detect\",amazon,walmart,bestbuy,500,0.18\n\nParameters:\n\n--csv: Path to CSV file\n--margin-threshold: Minimum margin to report\n--alert-frequency: Frequency of alerts\n--output: Output file for alerts\n\nExample:\n\npython3 scripts/bulk_monitor.py \\\n  --csv products.csv \\\n  --margin-threshold 0.20 \\\n  --alert-frequency daily \\\n  --output alerts.txt"
      },
      {
        "title": "price_history.py",
        "body": "Retrieve and analyze historical price data.\n\nParameters:\n\n--product: Product name/keyword\n--days: Number of days of history (default: 30)\n--platform: Specific platform (optional)\n--output: Output format (markdown,json,csv)\n--trend-analysis: Include trend analysis and predictions\n\nExample:\n\npython3 scripts/price_history.py \\\n  --product \"AirPods Pro 2\" \\\n  --days 60 \\\n  --trend-analysis \\\n  --output markdown"
      },
      {
        "title": "Arbitrage Profit Calculation",
        "body": "Always calculate net profit:\n\nNet Profit = (Sell Price - Buy Price)\n            - Platform Fees\n            - Shipping Costs\n            - Payment Processing Fees\n            - Taxes\n\nRecommended minimum margin: 20-25% to account for:\n\nUnexpected shipping delays\nReturns/refunds\nMarket price fluctuations\nTime value of money"
      },
      {
        "title": "Risk Mitigation",
        "body": "Verify seller reliability - Check ratings and reviews\nCheck product condition - New, refurbished, or used\nFactor in return windows - Platforms have different policies\nMonitor price stability - Volatile prices increase risk\nStay within limits - Don't over-leverage on single opportunities"
      },
      {
        "title": "Seasonal Patterns",
        "body": "Q4 (Oct-Dec): Holiday sales, best for electronics\nJanuary: Post-holiday clearance\nPrime Day (July): Amazon-specific deals\nBlack Friday/Cyber Monday: Cross-platform discounts\nBack-to-School (Aug-Sep): Laptops, tablets, accessories"
      },
      {
        "title": "Set Up Cron Jobs for Automated Monitoring",
        "body": "# Check prices every 6 hours\n0 */6 * * * /path/to/price-tracker/scripts/bulk_monitor.py --csv products.csv --output alerts.txt\n\n# Daily arbitrage scan\n0 9 * * * /path/to/price-tracker/scripts/compare_prices.py --keyword \"high-demand-products\" --report markdown >> /path/to/reports.txt"
      },
      {
        "title": "Integration with Notifications",
        "body": "Combine with notification systems (email, Discord, Telegram) to receive real-time alerts when opportunities are detected."
      },
      {
        "title": "Limitations",
        "body": "Platform API rate limits may affect search frequency\nReal-time prices may have slight delays\nSome platforms restrict scraping (comply with ToS)\nSeller inventory changes rapidly\n\nRevenue first. Track smart. Flip fast."
      }
    ],
    "body": "Price Tracker\nOverview\n\nTrack 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.\n\nCore Capabilities\n1. Product Discovery & Monitoring\n\nSearch and Track Products:\n\nSearch products by keyword across Amazon, eBay, Walmart, Best Buy\nAdd products to monitoring lists\nSet target price thresholds\nConfigure alert frequency (hourly, daily, weekly)\n\nExample 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.\"\n\n2. Arbitrage Analysis\n\nCross-Platform Comparison:\n\nCompare identical product prices across platforms\nCalculate profit margins after fees and shipping\nIdentify flip-worthy opportunities (20%+ margin after costs)\nFactor in platform fees, shipping costs, and taxes\n\nFee Structure Reference:\n\nAmazon: ~15% referral fee\neBay: ~13% final value fee + listing fees\nWalmart: ~8-15% referral fee\n\nExample Request: \"Find Nintendo Switch bundles where eBay price is 20%+ higher than Amazon, accounting for all fees and shipping costs.\"\n\n3. Historical Price Tracking\n\nPrice History:\n\nTrack price changes over time (30, 60, 90 days)\nIdentify seasonal pricing patterns\nDetect price manipulation or flash sales\nExport historical data for analysis\n\nExample Request: \"Show me the price history for AirPods Pro 2 over the last 60 days. Identify the best buying window.\"\n\n4. Automated Alerts\n\nAlert Configuration:\n\nPrice drop alerts (below threshold)\nArbitrage opportunity alerts (margin threshold)\nCompetitor price alerts (when competitor lowers price)\nBulk product monitoring\n\nExample Request: \"Set up alerts for all Sony TV models. Alert me if any model drops below $400 or has 25%+ arbitrage margin.\"\n\nQuick Start\nTrack a Single Product\n# Use scripts/track_product.py\npython3 scripts/track_product.py \\\n  --product \"Apple iPhone 15 Pro 256GB\" \\\n  --platforms amazon,ebay \\\n  --alert-below 800 \\\n  --alert-margin 0.20\n\nBulk Monitor Products from CSV\n# Use scripts/bulk_monitor.py\npython3 scripts/bulk_monitor.py \\\n  --csv products.csv \\\n  --margin-threshold 0.25 \\\n  --alert-frequency daily\n\nPrice Comparison Report\n# Use scripts/compare_prices.py\npython3 scripts/compare_prices.py \\\n  --keyword \"Sony WH-1000XM5\" \\\n  --platforms amazon,ebay,walmart,bestbuy \\\n  --report markdown\n\nWorkflow\nArbitrage Opportunity Discovery\nSearch for products in high-demand categories (electronics, gaming, home goods)\nCompare prices across all platforms using compare_prices.py\nCalculate net profit after fees/shipping/taxes\nFilter opportunities with 20%+ margin\nVerify product condition and seller reliability\nExecute or set monitoring for price drops\nPrice Drop Monitoring\nIdentify target products (wishlist, seasonally discounted items)\nSet alert thresholds using track_product.py\nMonitor historical patterns to predict optimal buy windows\nAct when price drops below threshold\nRepeat for seasonal shopping events (Prime Day, Black Friday)\nScripts\ntrack_product.py\n\nTrack a single product across platforms with configurable alerts.\n\nParameters:\n\n--product: Product name/keyword\n--platforms: Comma-separated platforms (amazon,ebay,walmart,bestbuy)\n--alert-below: Alert when price drops below this amount\n--alert-margin: Alert when arbitrage margin exceeds this fraction (e.g., 0.20 = 20%)\n--frequency: Check frequency (hourly,daily,weekly)\n--output: Output format (json,csv,markdown)\n\nExample:\n\npython3 scripts/track_product.py \\\n  --product \"Samsung Galaxy S24 Ultra 256GB\" \\\n  --platforms amazon,ebay,walmart \\\n  --alert-below 900 \\\n  --alert-margin 0.25 \\\n  --frequency daily \\\n  --output markdown\n\ncompare_prices.py\n\nCompare prices for a product across all platforms.\n\nParameters:\n\n--keyword: Product search keyword\n--platforms: Comma-separated platforms (default: all)\n--report: Report format (markdown,json,csv)\n--sort-by: Sort by price, margin, or rating\n--min-rating: Minimum seller rating\n\nExample:\n\npython3 scripts/compare_prices.py \\\n  --keyword \"PlayStation 5 Slim\" \\\n  --platforms amazon,ebay,walmart,bestbuy \\\n  --report markdown \\\n  --sort-by margin \\\n  --min-rating 4.5\n\nbulk_monitor.py\n\nMonitor multiple products from a CSV file.\n\nCSV Format:\n\nproduct,platforms,alert_below,alert_margin\n\"Apple MacBook Air M3 256GB\",amazon,ebay,walmart,899,0.20\n\"Sony PlayStation 5\",amazon,ebay,399,0.25\n\"Dyson V15 Detect\",amazon,walmart,bestbuy,500,0.18\n\n\nParameters:\n\n--csv: Path to CSV file\n--margin-threshold: Minimum margin to report\n--alert-frequency: Frequency of alerts\n--output: Output file for alerts\n\nExample:\n\npython3 scripts/bulk_monitor.py \\\n  --csv products.csv \\\n  --margin-threshold 0.20 \\\n  --alert-frequency daily \\\n  --output alerts.txt\n\nprice_history.py\n\nRetrieve and analyze historical price data.\n\nParameters:\n\n--product: Product name/keyword\n--days: Number of days of history (default: 30)\n--platform: Specific platform (optional)\n--output: Output format (markdown,json,csv)\n--trend-analysis: Include trend analysis and predictions\n\nExample:\n\npython3 scripts/price_history.py \\\n  --product \"AirPods Pro 2\" \\\n  --days 60 \\\n  --trend-analysis \\\n  --output markdown\n\nBest Practices\nArbitrage Profit Calculation\n\nAlways calculate net profit:\n\nNet Profit = (Sell Price - Buy Price)\n            - Platform Fees\n            - Shipping Costs\n            - Payment Processing Fees\n            - Taxes\n\n\nRecommended minimum margin: 20-25% to account for:\n\nUnexpected shipping delays\nReturns/refunds\nMarket price fluctuations\nTime value of money\nRisk Mitigation\nVerify seller reliability - Check ratings and reviews\nCheck product condition - New, refurbished, or used\nFactor in return windows - Platforms have different policies\nMonitor price stability - Volatile prices increase risk\nStay within limits - Don't over-leverage on single opportunities\nSeasonal Patterns\nQ4 (Oct-Dec): Holiday sales, best for electronics\nJanuary: Post-holiday clearance\nPrime Day (July): Amazon-specific deals\nBlack Friday/Cyber Monday: Cross-platform discounts\nBack-to-School (Aug-Sep): Laptops, tablets, accessories\nAutomation Integration\nSet Up Cron Jobs for Automated Monitoring\n# Check prices every 6 hours\n0 */6 * * * /path/to/price-tracker/scripts/bulk_monitor.py --csv products.csv --output alerts.txt\n\n# Daily arbitrage scan\n0 9 * * * /path/to/price-tracker/scripts/compare_prices.py --keyword \"high-demand-products\" --report markdown >> /path/to/reports.txt\n\nIntegration with Notifications\n\nCombine with notification systems (email, Discord, Telegram) to receive real-time alerts when opportunities are detected.\n\nLimitations\nPlatform API rate limits may affect search frequency\nReal-time prices may have slight delays\nSome platforms restrict scraping (comply with ToS)\nSeller inventory changes rapidly\n\nRevenue first. Track smart. Flip fast."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/Michael-laffin/price-tracker",
    "publisherUrl": "https://clawhub.ai/Michael-laffin/price-tracker",
    "owner": "Michael-laffin",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
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