Amazon Pdp Webhook

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

{
  "nodes": [
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "amazon-pdp",
        "responseMode": "responseNode",
        "options": {}
      },
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2,
      "position": [
        656,
        1600
      ],
      "id": "8c1180d4-11b1-4c85-87cd-daab66226655",
      "name": "Webhook Trigger"
    },
    {
      "parameters": {
        "options": {
          "temperature": 0.3
        }
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "typeVersion": 1,
      "position": [
        960,
        1824
      ],
      "id": "397aaf55-4fec-4f5d-a199-03fccdfaa49e",
      "name": "Extract Product Data",
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "jsCode": "// Parse AI output and normalize product data\nconst input = $input.first();\n\n// Get binary image from webhook\nconst webhookData = $('Webhook Trigger').first();\nconst binaryData = webhookData.binary;\nconst extraPrompt = webhookData.json.body?.extra_prompt || '';\n\n// Get raw text from AI response\nlet rawText = input.json.text || input.json.content || input.json.message?.content || input.json.output || '';\n\n// If rawText is an object, stringify it\nif (typeof rawText === 'object') {\n  rawText = JSON.stringify(rawText);\n}\n\n// Remove markdown code fences if present\nrawText = rawText\n  .replace(/^```json\\s*/i, '')\n  .replace(/^```\\s*/i, '')\n  .replace(/\\s*```$/i, '')\n  .trim();\n\n// Handle escaped newlines\nrawText = rawText.replace(/\\\\n/g, '\\n');\n\n// Extract JSON from the response\nlet extracted;\ntry {\n  extracted = JSON.parse(rawText);\n} catch (e) {\n  // Try to find JSON object in the text\n  const jsonMatch = rawText.match(/\\{[\\s\\S]*\\}/);\n  if (jsonMatch) {\n    try {\n      extracted = JSON.parse(jsonMatch[0]);\n    } catch (e2) {\n      throw new Error('Could not parse AI response as JSON: ' + rawText.substring(0, 200));\n    }\n  } else {\n    throw new Error('No JSON found in AI response: ' + rawText.substring(0, 200));\n  }\n}\n\n// Normalize helper functions\nconst toArray = (val) => {\n  if (Array.isArray(val)) return val.filter(v => v && String(v).trim());\n  if (typeof val === 'string' && val.trim()) {\n    return val.split(/[,;\\n]/).map(s => s.trim()).filter(Boolean);\n  }\n  return [];\n};\n\nconst toString = (val) => {\n  if (typeof val === 'string') return val.trim();\n  if (Array.isArray(val)) return val.join(', ');\n  return '';\n};\n\n// Normalized output\nconst productData = {\n  brand_name: toString(extracted.brand_name) || 'Premium Brand',\n  product_name: toString(extracted.product_name) || 'Natural Product',\n  tagline: toString(extracted.tagline) || 'Quality You Can Trust',\n  ingredients: toArray(extracted.ingredients),\n  benefits: toArray(extracted.benefits),\n  usage: toArray(extracted.usage),\n  claims: toArray(extracted.claims),\n  trust_info: toArray(extracted.trust_info),\n  shelf_life: toString(extracted.shelf_life),\n  origin: toString(extracted.origin),\n  extra_prompt: extraPrompt,\n  \n  // Pre-formatted strings for prompts\n  ingredients_text: toArray(extracted.ingredients).slice(0, 5).join(', ') || 'Natural Ingredients',\n  benefits_text: toArray(extracted.benefits).slice(0, 4).map(b => '\u2022 ' + b).join('\\n') || '\u2022 Premium Quality',\n  usage_text: toArray(extracted.usage).slice(0, 3).map(u => '\u2022 ' + u).join('\\n') || '\u2022 Everyday Use',\n  claims_text: toArray(extracted.claims).slice(0, 4).join(' | ') || 'Premium Quality',\n  trust_text: toArray(extracted.trust_info).slice(0, 4).join(' | ') || 'Certified Quality'\n};\n\n// Return with binary data passed through from Webhook Trigger\n// The binary image will be available as $binary.image in downstream nodes\nreturn [{ json: productData, binary: binaryData }];"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        1232,
        1600
      ],
      "id": "e94000aa-cd46-4010-ab21-a5df6c4823fd",
      "name": "Normalize Product Data"
    },
    {
      "parameters": {
        "resource": "image",
        "operation": "edit",
        "modelId": {
          "__rl": true,
          "value": "models/gemini-3-pro-image-preview",
          "mode": "list",
          "cachedResultName": "models/gemini-3-pro-image-preview (Nano Banana Pro)"
        },
        "prompt": "=You are generating an Amazon product detail page HERO image.\n\nBrand: {{ $json.brand_name }}\nProduct: {{ $json.product_name }}\nTagline: {{ $json.tagline }}\n\nIMAGE REQUIREMENTS:\n- Premium Amazon PDP hero shot\n- Product bottle/package centered prominently\n- Clean white or soft gradient background\n- Professional studio lighting with soft shadows\n- Slight reflection on surface\n- Brand name and tagline displayed elegantly\n- Modern, premium e-commerce aesthetic\n- High contrast, sharp details\n\nReference product image provided - KEEP THE EXACT PRODUCT PACKAGING.\nDo NOT redesign or distort the label.\n\nThis is IMAGE 1 of 6 in the Amazon listing set.",
        "images": {
          "values": [
            {
              "binaryPropertyName": "image"
            }
          ]
        },
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.googleGemini",
      "typeVersion": 1,
      "position": [
        1456,
        1120
      ],
      "id": "ef75060e-f3e0-4752-9408-96934667e88e",
      "name": "Generate Hero Image",
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "resource": "image",
        "operation": "edit",
        "modelId": {
          "__rl": true,
          "value": "models/gemini-3-pro-image-preview",
          "mode": "list",
          "cachedResultName": "models/gemini-3-pro-image-preview (Nano Banana Pro)"
        },
        "prompt": "=You are generating an Amazon product detail page INGREDIENTS image.\n\nBrand: {{ $json.brand_name }}\nProduct: {{ $json.product_name }}\nKey Ingredients: {{ $json.ingredients_text }}\n\nIMAGE REQUIREMENTS:\n- Product bottle positioned on LEFT side (30% of frame)\n- RIGHT side shows ingredient visualization\n- Display each ingredient with small illustrated icons or realistic photos\n- Clean infographic layout\n- Text header: \"Key Ingredients\" or \"What's Inside\"\n- Ingredient labels next to each icon\n- Same lighting and background style as hero image\n- Soft connecting lines from ingredients to product\n- Premium Amazon PDP aesthetic\n\nThis is IMAGE 2 of 6 in the Amazon listing set.",
        "images": {
          "values": [
            {
              "binaryPropertyName": "image"
            }
          ]
        },
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.googleGemini",
      "typeVersion": 1,
      "position": [
        1456,
        1312
      ],
      "id": "01dd06fb-7514-42e0-809c-9861418e4f42",
      "name": "Generate Ingredients Image",
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "resource": "image",
        "operation": "edit",
        "modelId": {
          "__rl": true,
          "value": "models/gemini-3-pro-image-preview",
          "mode": "list",
          "cachedResultName": "models/gemini-3-pro-image-preview (Nano Banana Pro)"
        },
        "prompt": "=You are generating an Amazon product detail page BENEFITS image.\n\nBrand: {{ $json.brand_name }}\nProduct: {{ $json.product_name }}\nBenefits:\n{{ $json.benefits_text }}\n\nIMAGE REQUIREMENTS:\n- Product bottle positioned on LEFT side\n- RIGHT side shows benefits as bullet points or icons\n- Use simple, clean icons next to each benefit\n- Text header: \"Why Choose {{ $json.product_name }}?\" or \"Benefits\"\n- Balanced grid or vertical list layout\n- Readable sans-serif typography\n- Same lighting and premium background as other images\n- Professional Amazon infographic style\n\nThis is IMAGE 3 of 6 in the Amazon listing set.",
        "images": {
          "values": [
            {
              "binaryPropertyName": "image"
            }
          ]
        },
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.googleGemini",
      "typeVersion": 1,
      "position": [
        1456,
        1504
      ],
      "id": "f7a759d7-e005-4d67-8427-9638b8729529",
      "name": "Generate Benefits Image",
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "resource": "image",
        "operation": "edit",
        "modelId": {
          "__rl": true,
          "value": "models/gemini-3-pro-image-preview",
          "mode": "list",
          "cachedResultName": "models/gemini-3-pro-image-preview (Nano Banana Pro)"
        },
        "prompt": "=You are generating an Amazon product detail page CLEAN LABEL / TRUST image.\n\nBrand: {{ $json.brand_name }}\nProduct: {{ $json.product_name }}\nTrust Claims: {{ $json.claims_text }}\nCertifications: {{ $json.trust_text }}\n\nIMAGE REQUIREMENTS:\n- Product bottle CENTERED prominently\n- Trust badges and certification icons arranged around product\n- Show claims like: No Artificial Colors, No Preservatives, etc.\n- Display certifications: FSSAI, Organic, etc. as badge icons\n- Clean, minimal layout focused on trust\n- Green checkmarks or shield icons for trust signals\n- Text header: \"Clean & Safe\" or \"Our Promise\"\n- Same premium lighting and background\n- Professional trust-focused Amazon aesthetic\n\nThis is IMAGE 4 of 6 in the Amazon listing set.",
        "images": {
          "values": [
            {
              "binaryPropertyName": "image"
            }
          ]
        },
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.googleGemini",
      "typeVersion": 1,
      "position": [
        1456,
        1696
      ],
      "id": "2d9d2bb5-8a91-4820-b7ec-ea1df77061f6",
      "name": "Generate Trust Image",
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "resource": "image",
        "operation": "edit",
        "modelId": {
          "__rl": true,
          "value": "models/gemini-3-pro-image-preview",
          "mode": "list",
          "cachedResultName": "models/gemini-3-pro-image-preview (Nano Banana Pro)"
        },
        "prompt": "=You are generating an Amazon product detail page USAGE / LIFESTYLE image.\n\nBrand: {{ $json.brand_name }}\nProduct: {{ $json.product_name }}\nUsage Occasions:\n{{ $json.usage_text }}\n\nIMAGE REQUIREMENTS:\n- Lifestyle-oriented composition\n- Product shown in USE CONTEXT (on table, being held, etc.)\n- Warm, inviting atmosphere\n- Show usage occasions as text overlays or small scene vignettes\n- Text header: \"Perfect For\" or \"How To Enjoy\"\n- Friendly, relatable aesthetic\n- Soft natural lighting feel\n- People hands or lifestyle props optional\n- Same brand colors and premium feel\n\nThis is IMAGE 5 of 6 in the Amazon listing set.",
        "images": {
          "values": [
            {
              "binaryPropertyName": "image"
            }
          ]
        },
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.googleGemini",
      "typeVersion": 1,
      "position": [
        1456,
        1888
      ],
      "id": "b1f0d384-daeb-4d65-bf61-135cc6f6632f",
      "name": "Generate Usage Image",
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "resource": "image",
        "operation": "edit",
        "modelId": {
          "__rl": true,
          "value": "models/gemini-3-pro-image-preview",
          "mode": "list",
          "cachedResultName": "models/gemini-3-pro-image-preview (Nano Banana Pro)"
        },
        "prompt": "=You are generating an Amazon product detail page BRAND PROMISE image.\n\nBrand: {{ $json.brand_name }}\nProduct: {{ $json.product_name }}\nTagline: {{ $json.tagline }}\nOrigin: {{ $json.origin }}\nShelf Life: {{ $json.shelf_life }}\n\nIMAGE REQUIREMENTS:\n- Final closing image for the listing\n- Product bottle slightly angled, prominent\n- Brand promise messaging:\n  - \"{{ $json.tagline }}\"\n  - Made in {{ $json.origin }}\n  - {{ $json.shelf_life }} Shelf Life (if available)\n- Strong brand identity colors\n- Premium, confident composition\n- Call-to-action feel: \"Try {{ $json.product_name }} Today\"\n- Same lighting and premium background as other images\n- Professional Amazon closing slide aesthetic\n\nThis is IMAGE 6 of 6 - the FINAL image in the Amazon listing set.",
        "images": {
          "values": [
            {
              "binaryPropertyName": "image"
            }
          ]
        },
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.googleGemini",
      "typeVersion": 1,
      "position": [
        1456,
        2080
      ],
      "id": "babafe32-4052-404d-8cd3-6d3688727ec2",
      "name": "Generate Brand Promise Image",
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "jsCode": "// Collect all images from converted base64 data\nconst items = $input.all();\n\nconst imageNames = [\n  '01_Hero',\n  '02_Ingredients',\n  '03_Benefits',\n  '04_Trust',\n  '05_Usage',\n  '06_Brand_Promise'\n];\n\nconst images = [];\n\nfor (let i = 0; i < items.length; i++) {\n  const item = items[i];\n  const imageName = imageNames[i] || `Image_${i + 1}`;\n  \n  // The Convert to File node puts base64 in json.data\n  let base64Data = item.json?.data || item.json?.base64 || '';\n  let mimeType = item.json?.mimeType || 'image/png';\n  \n  if (base64Data) {\n    // Ensure proper data URL format\n    const dataUrl = base64Data.startsWith('data:') \n      ? base64Data \n      : `data:${mimeType};base64,${base64Data}`;\n    \n    images.push({\n      data: dataUrl,\n      name: imageName\n    });\n  } else {\n    images.push({\n      data: '',\n      name: imageName,\n      error: 'No base64 data found'\n    });\n  }\n}\n\nreturn [{ \n  json: { \n    success: images.filter(i => i.data).length > 0,\n    count: images.filter(i => i.data).length,\n    images: images \n  } \n}];"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        2128,
        1600
      ],
      "id": "aa8255b5-6ff2-4733-a0e9-c84275d5ab58",
      "name": "Collect All Images"
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "={{ $json }}",
        "options": {}
      },
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.1,
      "position": [
        2352,
        1600
      ],
      "id": "4abc1a1a-788c-4622-907c-3086d2601443",
      "name": "Respond to Webhook"
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "=You are a product data extraction expert. Extract structured product information from the following raw description.\n\nRaw Description:\n{{ $json.body.raw_description }}\n\n---\n\nRules:\n- Extract ONLY what is explicitly mentioned or clearly implied\n- Do NOT hallucinate or invent information\n- Rewrite extracted info into short, marketing-friendly phrases\n- If a field has no relevant data, use an empty string or empty array\n\nReturn a valid JSON object with this exact structure:\n{\n  \"brand_name\": \"string\",\n  \"product_name\": \"string\",\n  \"tagline\": \"string (short catchy phrase)\",\n  \"ingredients\": [\"ingredient1\", \"ingredient2\", ...],\n  \"benefits\": [\"benefit1\", \"benefit2\", ...],\n  \"usage\": [\"use case 1\", \"use case 2\", ...],\n  \"claims\": [\"claim1\", \"claim2\", ...],\n  \"trust_info\": [\"certification1\", \"certification2\", ...],\n  \"shelf_life\": \"string\",\n  \"origin\": \"string\"\n}\n\nRespond with ONLY the JSON object, no explanations.",
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 3.1,
      "position": [
        880,
        1600
      ],
      "id": "23793da6-3581-4894-a2f0-8e3a63d6e723",
      "name": "AI Agent"
    },
    {
      "parameters": {
        "numberInputs": 6
      },
      "type": "n8n-nodes-base.merge",
      "typeVersion": 3.2,
      "position": [
        1904,
        1536
      ],
      "id": "e0fb7809-e553-4720-a9f8-b172a0457688",
      "name": "Merge"
    },
    {
      "parameters": {
        "operation": "upload",
        "bucketName": "amazon-image-data",
        "fileName": "edited",
        "binaryPropertyName": "edited",
        "additionalFields": {}
      },
      "type": "n8n-nodes-base.awsS3",
      "typeVersion": 2,
      "position": [
        1664,
        1120
      ],
      "id": "1ff72f8f-9b81-4972-9309-9c27e5eb530b",
      "name": "Upload a file",
      "credentials": {
        "aws": {
          "name": "<your credential>"
        }
      }
    }
  ],
  "connections": {
    "Webhook Trigger": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Extract Product Data": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Normalize Product Data": {
      "main": [
        [
          {
            "node": "Generate Hero Image",
            "type": "main",
            "index": 0
          },
          {
            "node": "Generate Ingredients Image",
            "type": "main",
            "index": 0
          },
          {
            "node": "Generate Benefits Image",
            "type": "main",
            "index": 0
          },
          {
            "node": "Generate Trust Image",
            "type": "main",
            "index": 0
          },
          {
            "node": "Generate Usage Image",
            "type": "main",
            "index": 0
          },
          {
            "node": "Generate Brand Promise Image",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Generate Hero Image": {
      "main": [
        [
          {
            "node": "Upload a file",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Generate Ingredients Image": {
      "main": [
        []
      ]
    },
    "Generate Benefits Image": {
      "main": [
        []
      ]
    },
    "Generate Trust Image": {
      "main": [
        []
      ]
    },
    "Generate Usage Image": {
      "main": [
        []
      ]
    },
    "Generate Brand Promise Image": {
      "main": [
        []
      ]
    },
    "Collect All Images": {
      "main": [
        [
          {
            "node": "Respond to Webhook",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "AI Agent": {
      "main": [
        [
          {
            "node": "Normalize Product Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Merge": {
      "main": [
        [
          {
            "node": "Collect All Images",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "meta": {
    "templateCredsSetupCompleted": true
  }
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

• aws
• googlePalmApi

About this workflow

Amazon-Pdp-Webhook. Uses lmChatGoogleGemini, googleGemini, agent, awsS3. Webhook trigger; 14 nodes.

Source: https://github.com/Priinc3/AI-image-generation-platform/blob/93f038d750b7084534ae8939ae75a543dc189964/n8n-workflows/amazon-pdp-webhook.json — original creator credit. Request a take-down →

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