{
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  "item": {
    "slug": "amazon-product-api-skill",
    "name": "Amazon Product Api Skill",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/phheng/amazon-product-api-skill",
    "canonicalUrl": "https://clawhub.ai/phheng/amazon-product-api-skill",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/amazon-product-api-skill",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=amazon-product-api-skill",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "scripts/amazon_product_api.py"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "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."
        }
      ]
    },
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      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-23T16:43:11.935Z",
      "expiresAt": "2026-04-30T16:43:11.935Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
        "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/amazon-product-api-skill"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "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."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/amazon-product-api-skill",
    "agentPageUrl": "https://openagent3.xyz/skills/amazon-product-api-skill/agent",
    "manifestUrl": "https://openagent3.xyz/skills/amazon-product-api-skill/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/amazon-product-api-skill/agent.md"
  },
  "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": "📖 Introduction",
        "body": "This skill utilizes BrowserAct's Amazon Product API template to extract structured product listings from Amazon search results. It provides detailed information including titles, ASINs, prices, ratings, and product specifications, enabling efficient market research and product monitoring without manual data collection."
      },
      {
        "title": "✨ Features",
        "body": "No Hallucinations, Reliable Data: Uses a pre-defined workflow to ensure accurate data extraction without AI-generated errors.\nNo CAPTCHA Challenges: Built-in mechanisms bypass reCAPTCHA and other bot detection systems.\nGlobal Access, No Geo-fencing: Overcomes IP restrictions to ensure stable access from any location.\nFast Execution: More efficient than general-purpose AI browser automation.\nCost-Effective: Reduces data acquisition costs compared to high-token consumption AI models."
      },
      {
        "title": "🔑 API Key Workflow",
        "body": "Before running the skill, the BROWSERACT_API_KEY environment variable must be checked. If it is not set, do not proceed; instead, request the key from the user.\nAgent Instruction:\n\n\"Since you haven't configured the BrowserAct API Key yet, please go to the BrowserAct Console to get your Key and provide it here.\""
      },
      {
        "title": "🛠️ Input Parameters",
        "body": "The agent should configure the following parameters based on user requirements:\n\nKeyWords\n\nType: string\nDescription: Search keywords used to find products on Amazon.\nRequired: Yes\nExample: laptop, wireless earbuds\n\n\n\nBrand\n\nType: string\nDescription: Filter products by brand name.\nDefault: Apple\nExample: Dell, Samsung\n\n\n\nMaximum_number_of_page_turns\n\nType: number\nDescription: Number of search result pages to paginate through.\nDefault: 1\n\n\n\nlanguage\n\nType: string\nDescription: UI language for the Amazon browsing session.\nDefault: en\nExample: zh-CN, de"
      },
      {
        "title": "🚀 Usage (Recommended)",
        "body": "The agent should execute the following script to get results in one command:\n\n# Example Usage\npython -u ./scripts/amazon_product_api.py \"keywords\" \"brand\" pages \"language\""
      },
      {
        "title": "⏳ Progress Monitoring",
        "body": "Since this task involves automated browser operations, it may take a few minutes. The script outputs real-time timestamped status logs (e.g., [14:30:05] Task Status: running).\nAgent Note:\n\nMonitor the terminal output while waiting for results.\nAs long as new status logs are appearing, the task is running normally.\nOnly consider retrying if the status remains unchanged for a long period or the script stops without output."
      },
      {
        "title": "📊 Output Data Description",
        "body": "Upon success, the script parses and prints the structured product data from the API response, which includes:\n\nproduct_title: Full title of the product.\nasin: Amazon Standard Identification Number.\nproduct_url: URL of the Amazon product page.\nbrand: Brand name.\nprice_current_amount: Current price.\nprice_original_amount: Original price (if applicable).\nrating_average: Average star rating.\nrating_count: Total number of ratings.\nfeatured: Badges like \"Best Seller\" or \"Amazon's Choice\".\ncolor, material, style: Product attributes (if available)."
      },
      {
        "title": "⚠️ Error Handling & Retry Mechanism",
        "body": "If an error occurs during execution, the agent should follow this logic:\n\nCheck Output:\n\nIf the output contains \"Invalid authorization\", the API Key is invalid. Do not retry; ask the user to provide a valid key.\nIf the output does not contain \"Invalid authorization\" but the task fails (e.g., output starts with Error: or returns empty results), the agent should automatically retry once.\n\n\n\nRetry Limit:\n\nAutomatic retry is limited to once. If it fails again, stop and report the error to the user."
      },
      {
        "title": "🌟 Typical Use Cases",
        "body": "Market Research: Search for a specific product category to analyze top brands and pricing.\nCompetitor Monitoring: Track product listings and price changes for specific competitor brands.\nProduct Catalog Enrichment: Extract structured details like ASINs and specifications to build or update a product database.\nRating Analysis: Find high-rated products for specific keywords to identify market leaders.\nLocalized Research: Search Amazon in different languages to analyze international markets.\nPrice Tracking: Monitor current and original prices to identify discount trends.\nBrand Performance: Evaluate the presence of a specific brand in search results across multiple pages.\nAttribute Extraction: Gather technical specifications like material or color for a list of products.\nLead Generation: Identify popular products and their manufacturers for business outreach.\nAutomated Data Feed: Periodically pull Amazon search results into external BI tools or dashboards."
      }
    ],
    "body": "Amazon Product Search Skill\n📖 Introduction\n\nThis skill utilizes BrowserAct's Amazon Product API template to extract structured product listings from Amazon search results. It provides detailed information including titles, ASINs, prices, ratings, and product specifications, enabling efficient market research and product monitoring without manual data collection.\n\n✨ Features\nNo Hallucinations, Reliable Data: Uses a pre-defined workflow to ensure accurate data extraction without AI-generated errors.\nNo CAPTCHA Challenges: Built-in mechanisms bypass reCAPTCHA and other bot detection systems.\nGlobal Access, No Geo-fencing: Overcomes IP restrictions to ensure stable access from any location.\nFast Execution: More efficient than general-purpose AI browser automation.\nCost-Effective: Reduces data acquisition costs compared to high-token consumption AI models.\n🔑 API Key Workflow\n\nBefore running the skill, the BROWSERACT_API_KEY environment variable must be checked. If it is not set, do not proceed; instead, request the key from the user. Agent Instruction:\n\n\"Since you haven't configured the BrowserAct API Key yet, please go to the BrowserAct Console to get your Key and provide it here.\"\n\n🛠️ Input Parameters\n\nThe agent should configure the following parameters based on user requirements:\n\nKeyWords\n\nType: string\nDescription: Search keywords used to find products on Amazon.\nRequired: Yes\nExample: laptop, wireless earbuds\n\nBrand\n\nType: string\nDescription: Filter products by brand name.\nDefault: Apple\nExample: Dell, Samsung\n\nMaximum_number_of_page_turns\n\nType: number\nDescription: Number of search result pages to paginate through.\nDefault: 1\n\nlanguage\n\nType: string\nDescription: UI language for the Amazon browsing session.\nDefault: en\nExample: zh-CN, de\n🚀 Usage (Recommended)\n\nThe agent should execute the following script to get results in one command:\n\n# Example Usage\npython -u ./scripts/amazon_product_api.py \"keywords\" \"brand\" pages \"language\"\n\n⏳ Progress Monitoring\n\nSince this task involves automated browser operations, it may take a few minutes. The script outputs real-time timestamped status logs (e.g., [14:30:05] Task Status: running). Agent Note:\n\nMonitor the terminal output while waiting for results.\nAs long as new status logs are appearing, the task is running normally.\nOnly consider retrying if the status remains unchanged for a long period or the script stops without output.\n📊 Output Data Description\n\nUpon success, the script parses and prints the structured product data from the API response, which includes:\n\nproduct_title: Full title of the product.\nasin: Amazon Standard Identification Number.\nproduct_url: URL of the Amazon product page.\nbrand: Brand name.\nprice_current_amount: Current price.\nprice_original_amount: Original price (if applicable).\nrating_average: Average star rating.\nrating_count: Total number of ratings.\nfeatured: Badges like \"Best Seller\" or \"Amazon's Choice\".\ncolor, material, style: Product attributes (if available).\n⚠️ Error Handling & Retry Mechanism\n\nIf an error occurs during execution, the agent should follow this logic:\n\nCheck Output:\n\nIf the output contains \"Invalid authorization\", the API Key is invalid. Do not retry; ask the user to provide a valid key.\nIf the output does not contain \"Invalid authorization\" but the task fails (e.g., output starts with Error: or returns empty results), the agent should automatically retry once.\n\nRetry Limit:\n\nAutomatic retry is limited to once. If it fails again, stop and report the error to the user.\n🌟 Typical Use Cases\nMarket Research: Search for a specific product category to analyze top brands and pricing.\nCompetitor Monitoring: Track product listings and price changes for specific competitor brands.\nProduct Catalog Enrichment: Extract structured details like ASINs and specifications to build or update a product database.\nRating Analysis: Find high-rated products for specific keywords to identify market leaders.\nLocalized Research: Search Amazon in different languages to analyze international markets.\nPrice Tracking: Monitor current and original prices to identify discount trends.\nBrand Performance: Evaluate the presence of a specific brand in search results across multiple pages.\nAttribute Extraction: Gather technical specifications like material or color for a list of products.\nLead Generation: Identify popular products and their manufacturers for business outreach.\nAutomated Data Feed: Periodically pull Amazon search results into external BI tools or dashboards."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/phheng/amazon-product-api-skill",
    "publisherUrl": "https://clawhub.ai/phheng/amazon-product-api-skill",
    "owner": "phheng",
    "version": "0.1.1",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
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    "downloadUrl": "https://openagent3.xyz/downloads/amazon-product-api-skill",
    "agentUrl": "https://openagent3.xyz/skills/amazon-product-api-skill/agent",
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}