Optimización de productos de comercio electrónico - Bright Data y OpenAI

• •Pueden requerirse credenciales de autenticación para la API de destino
• •Clave de API de OpenAI

{
  "meta": {
    "instanceId": "8212eef3ce503a3ff3b5a20b8326474820fb627fc1c3dc8486795debd39d8d25",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "93bc29f2-3004-4daa-8def-89cf9b4ad46a",
      "name": "Al hacer clic en 'Ejecutar flujo de trabajo'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        0,
        0
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "8a6e68ec-ff87-4c6b-b629-34021258a582",
      "name": "BrightData",
      "type": "@brightdata/n8n-nodes-brightdata.brightData",
      "position": [
        220,
        0
      ],
      "parameters": {
        "urls": "[\n  {\"url\":\"https://www.amazon.com/AmazonBasics-Multipurpose-Copy-Printer-Paper/dp/B01FV0F8H8/ref=zg_bs_g_office-products_d_sccl_1/142-6608713-4877828?psc=1\"},\n  {\"url\":\"https://www.amazon.com/Scotch-Shipping-Packaging-Dispenser-142-6/dp/B000J07BRQ/ref=zg_bs_g_office-products_d_sccl_2/142-6608713-4877828?psc=1\"},\n  {\"url\":\"https://www.amazon.com/Amazon-Basics-Premium-Colored-Multicolor/dp/B07D93R5HV/ref=zg_bs_g_office-products_d_sccl_3/142-6608713-4877828?psc=1\"},\n  {\"url\":\"https://www.amazon.com/HP-Cartridge-Black-3YM57AN-Tri-Color/dp/B08412PTS8/ref=zg_bs_g_office-products_d_sccl_4/142-6608713-4877828?psc=1\"},\n  {\"url\":\"https://www.amazon.com/HP-Printer-Paper-Print20-200060R/dp/B001AFL8GY/ref=zg_bs_g_office-products_d_sccl_5/142-6608713-4877828?psc=1\"},\n  {\"url\":\"https://www.amazon.com/Scotch-Shipping-Packaging-Dispenser-142L/dp/B000MVV6AA/ref=zg_bs_g_office-products_d_sccl_6/142-6608713-4877828?psc=1\"},\n  {\"url\":\"https://www.amazon.com/Amazon-Basics-50-Sheet-Legal-Inches/dp/B00QSR9URI/ref=zg_bs_g_office-products_d_sccl_7/142-6608713-4877828?psc=1\"},\n  {\"url\":\"https://www.amazon.com/Sharpie-Permanent-Markers-Resistant-Coloring/dp/B00006IFHD/ref=zg_bs_g_office-products_d_sccl_8/142-6608713-4877828?psc=1\"},\n  {\"url\":\"https://www.amazon.com/AmazonBasics-Thermal-Laminating-Plastic-Laminator/dp/B079KL4C91/ref=zg_bs_g_office-products_d_sccl_9/142-6608713-4877828?psc=1\"},\n  {\"url\":\"https://www.amazon.com/YSAGi-Leather-Protector-Non-Slip-Waterproof/dp/B0BMTPC44X/ref=zg_bs_g_office-products_d_sccl_10/142-6608713-4877828?psc=1\"},\n  {\"url\":\"https://www.amazon.com/EZlifego-Multipurpose-Removable-Transparent-Household/dp/B07VNSXY31/ref=zg_bs_g_office-products_d_sccl_11/142-6608713-4877828?psc=1\"},\n  {\"url\":\"https://www.amazon.com/BIC-Highlighter-Chisel-Assorted-5-Count/dp/B000Q5ZGIA/ref=zg_bs_g_office-products_d_sccl_12/142-6608713-4877828?psc=1\"},\n  {\"url\":\"https://www.amazon.com/Academic-Planner-2025-2026-Monthly-Calendar/dp/B0DXPSZDP9/ref=zg_bs_g_office-products_d_sccl_22/142-6608713-4877828?psc=1\"}\n]\n",
        "resource": "webScrapper",
        "dataset_id": {
          "__rl": true,
          "mode": "list",
          "value": "gd_l1vijixj9g2vp7563",
          "cachedResultName": "Amazon best seller products"
        },
        "requestOptions": {}
      },
      "credentials": {
        "brightdataApi": {
          "id": "YOUR_BRIGHTDATA_CREDENTIAL_ID",
          "name": "BrightData account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "7a817929-aa8a-4813-9fd0-e778c46ad173",
      "name": "Código",
      "type": "n8n-nodes-base.code",
      "position": [
        440,
        0
      ],
      "parameters": {
        "jsCode": "// get all incoming items\nconst allInputItems = $input.all(); \n\nlet jsonlString = \"\";\n// define the training prompt\nconst systemMessage = \"You are an expert marketing assistant specializing in writing compelling and informative product descriptions.\";\n\n// loop through each item retrieved from the input\nfor (const item of allInputItems) {\n  const product = item.json; \n\n  // validate if the product data exists and is an object\n  if (!product || typeof product !== 'object') {\n    console.warn('Skipping an item because product data is missing or not an object:', item);\n    continue;\n  }\n\n  // extract product data\n  const title = product.title || \"N/A\";\n  const brand = product.brand || \"N/A\";\n  let featuresString = \"Not specified\";\n  if (product.features && Array.isArray(product.features) && product.features.length > 0) {\n    featuresString = product.features.slice(0, 5).join(', '); \n  }\n  // create a snippet of the original product description for training\n  const originalDescSnippet = (product.description || \"No original description available.\").substring(0, 250) + \"...\";\n  // create prompt with specific details about the product\n  const userPrompt = `Generate a product description for the following item. Title: ${title}. Brand: ${brand}. Key Features: ${featuresString}. Original Description Snippet: ${originalDescSnippet}.`;\n\n  // create template for the kind of description the AI should generate\n  let idealDescription = `Discover the ${title} from ${brand}, a top-choice for discerning customers. `;\n  idealDescription += `Key highlights include: ${featuresString}. `;\n  if (product.rating) {\n    idealDescription += `Boasting an impressive customer rating of ${product.rating} out of 5 stars! `;\n  }\n  idealDescription += `This product, originally described as \"${originalDescSnippet}\", is perfect for anyone seeking quality and reliability. `;\n  idealDescription += `Don't miss out on the ${product.availability === \"In Stock\" ? \"readily available\" : \"upcoming\"} ${title} – enhance your collection today!`;\n\n  // create a training example object in the format expected by OpenAI\n  const trainingExample = {\n    messages: [\n      { role: \"system\", content: systemMessage },\n      { role: \"user\", content: userPrompt },\n      { role: \"assistant\", content: idealDescription }\n    ]\n  };\n  jsonlString += JSON.stringify(trainingExample) + \"\\n\";\n}\n\n// remove any leading or trailing whitespace\nconst fileContentString = jsonlString.trim();\n\n// check if any product data was actually processed\nif (fileContentString.length === 0) {\n  console.warn(\"No product data was processed, outputting empty file content.\");\n  return [{ \n    json: { error: \"No products processed\", fileNameToUse: \"data.jsonl\" },\n    binary: {} \n  }];\n}\n\n// convert the final JSONL string into a Buffer (raw binary data)\nconst buffer = Buffer.from(fileContentString, 'utf-8');\n// define the filename that will be used when this data is sent to OpenAI\nconst actualFileNameForOpenAI = \"data.jsonl\";\n// define the MIME type for the file\nconst mimeType = 'application/jsonl'; \n\n// prepare the binary data for output\nconst binaryData = await this.helpers.prepareBinaryData(buffer, actualFileNameForOpenAI, mimeType);\n\n// return the processed data\nreturn [{\n  json: {\n    processedFileName: actualFileNameForOpenAI \n  },\n  binary: {\n    // the \"Input Data Field Name\" in the OpenAI node\n    \"data.jsonl\": binaryData \n  }\n}];"
      },
      "typeVersion": 2
    },
    {
      "id": "9e8f8656-79c5-4d8a-8e27-f07907ba852e",
      "name": "OpenAI",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "position": [
        660,
        0
      ],
      "parameters": {
        "options": {
          "purpose": "fine-tune"
        },
        "resource": "file",
        "binaryPropertyName": "data.jsonl"
      },
      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.8
    },
    {
      "id": "f391f934-1804-41ad-9ad5-303c613999b6",
      "name": "Solicitud HTTP",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        840,
        0
      ],
      "parameters": {
        "url": "https://api.openai.com/v1/fine_tuning/jobs",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"training_file\": \"{{ $json.id }}\",\n  \"model\": \"gpt-4o-mini-2024-07-18\"\n} ",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "predefinedCredentialType",
        "nodeCredentialType": "openAiApi"
      },
      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "add8279c-fdaf-4e6c-9b6b-242a85295cf5",
      "name": "Cuando se recibe un mensaje de chat",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        0,
        200
      ],
      "webhookId": "aa97eb0d-e190-40b8-aecd-f36f239f7ad1",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "72c8af8d-45e0-4ae8-b10b-723e8bf1f61c",
      "name": "Agente IA",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        220,
        200
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 2
    },
    {
      "id": "392b85ba-0ded-4838-ba17-df858e7f922d",
      "name": "Modelo de chat OpenAI",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        260,
        420
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "id",
          "value": "YOUR_FINE_TUNED_MODEL_ID"
        },
        "options": {
          "responseFormat": "text"
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "cab8fbc8-5cff-4b14-a36d-d7d89a83cf6e",
      "name": "Nota adhesiva",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -380,
        -480
      ],
      "parameters": {
        "width": 280,
        "height": 1080,
        "content": "This n8n workflow automates scraping Amazon product data and uses it for fine-tuning a custom OpenAI model for marketing copy.\n\n## Steps Overview\n\n1. **Manual Trigger:**  \n   The workflow starts when you click \"Execute workflow\" in n8n.\n\n2. **Bright Data Node:**  \n   Scrapes product data from a list of Amazon URLs using Bright Data's web scraper integration.\n\n3. **Code Node:**  \n   Processes the scraped product data:\n   - Generates training examples (system prompt, user prompt, assistant response) for each product.\n   - Aggregates these examples into a `.jsonl` file formatted for OpenAI fine-tuning.\n\n4. **OpenAI File Upload Node:**  \n   Uploads the `.jsonl` training file to OpenAI, declaring it for use in fine-tuning.\n\n5. **HTTP Request Node:**  \n   Starts a fine-tuning job for an OpenAI GPT model using the uploaded file.\n\n6. **Chat/Agent Subworkflow:**  \n   Contains a chat trigger and an AI agent. This uses the newly fine-tuned OpenAI model to generate product descriptions or marketing content via chat.\n\n---\n\n**Important:**  \nYou must replace the placeholder API credentials and IDs in the workflow (Bright Data API, OpenAI API, and the fine-tuned model ID in the agent node) with your own valid keys and model identifiers for the workflow to function correctly.\n"
      },
      "typeVersion": 1
    }
  ],
  "pinData": {},
  "connections": {
    "Code": {
      "main": [
        [
          {
            "node": "9e8f8656-79c5-4d8a-8e27-f07907ba852e",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "9e8f8656-79c5-4d8a-8e27-f07907ba852e": {
      "main": [
        [
          {
            "node": "HTTP Request",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "8a6e68ec-ff87-4c6b-b629-34021258a582": {
      "main": [
        [
          {
            "node": "Code",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "add8279c-fdaf-4e6c-9b6b-242a85295cf5": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "93bc29f2-3004-4daa-8def-89cf9b4ad46a": {
      "main": [
        [
          {
            "node": "8a6e68ec-ff87-4c6b-b629-34021258a582",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}