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✍️ Crear agente de marketing de artículos de blog utilizando GPT-4o

Intermedio

Este es unOther, AI, IT Opsflujo de automatización del dominio deautomatización que contiene 12 nodos.Utiliza principalmente nodos como SplitOut, HttpRequest, GmailTrigger, GoogleSheets, SplitInBatches, combinando tecnología de inteligencia artificial para lograr automatización inteligente. ✈️ Calculate business travel CO2 emissions through Carbon Interface API and GPT-4o

Requisitos previos
  • •Pueden requerirse credenciales de autenticación para la API de destino
  • •Cuenta de Google y credenciales de API de Gmail
  • •Credenciales de API de Google Sheets
  • •Clave de API de OpenAI

Nodos utilizados (12)

SplitOut
StickyNote
HttpRequest
GmailTrigger
GoogleSheets
SplitInBatches
Agent
LmChatOpenAi
OutputParserStructured

Categoría

Otros
Inteligencia Artificial
Operaciones de TI
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
React Flow
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
  "id": "1H8R2Hvre2Z1LuTG",
  "meta": {
    "instanceId": "",
    "templateCredsSetupCompleted": true
  },
  "name": "✈️ CO2 Emissions of Business Travels with CarbonInterface API and GPT-4o",
  "tags": [],
  "nodes": [
    {
      "id": "16cb6418-383a-409e-ac18-8ba78aba031b",
      "name": "Disparador de Gmail",
      "type": "n8n-nodes-base.gmailTrigger",
      "position": [
        -320,
        415
      ],
      "parameters": {
        "simple": false,
        "filters": {},
        "options": {
          "downloadAttachments": false
        },
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        }
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "",
          "name": ""
        }
      },
      "notesInFlow": true,
      "typeVersion": 1.2
    },
    {
      "id": "5c7c052e-9a71-4867-9d05-492dac9a8b7c",
      "name": "Structured Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        140,
        600
      ],
      "parameters": {
        "jsonSchemaExample": "{\n  \"traveler_name\": \"Samir Saci\",\n  \"trip_purpose\": \"Sustainability Client Workshop\",\n  \"trip_id\": \"LG-TRIP-2025-0624\",\n  \"flights\": [\n    {\n      \"type\": \"departure\",\n      \"from\": \"Paris Charles de Gaulle (CDG)\",\n      \"to\": \"Toronto Pearson International (YYZ)\",\n      \"from_code\": \"CDG\",\n      \"to_code\": \"YYZ\",\n      \"date\": \"2025-06-24\",\n      \"flight_number\": \"AF356\"\n    },\n    {\n      \"type\": \"return\",\n      \"from\": \"Toronto Pearson International (YYZ)\",\n      \"to\": \"Paris Charles de Gaulle (CDG)\",\n      \"from_code\": \"YYZ\",\n      \"to_code\": \"CDG\",\n      \"date\": \"2025-06-28\",\n      \"flight_number\": \"AC880\"\n    }\n  ],\n  \"hotel_booked\": false,\n  \"ground_transport_booked\": false\n}\n"
      },
      "typeVersion": 1.2
    },
    {
      "id": "c0eeae42-d3dd-400e-8d19-1068f4ab999d",
      "name": "Agente IA Parser",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -100,
        415
      ],
      "parameters": {
        "text": "=Extract the structured trip details from the following email:\n\n{{ $json.text }}\n",
        "options": {
          "systemMessage": "=You are a travel assistant. When provided with the body of a business trip confirmation email, extract the following structured JSON object.\n\nReturn **only** a JSON object with the following fields:\n\n{\n  \"traveler_name\": string,\n  \"trip_purpose\": string,\n  \"trip_id\": string,\n  \"flights\": [\n    {\n      \"type\": \"departure\" or \"return\",\n      \"from\": string,\n      \"from_code\": string (e.g., \"CDG\"),\n      \"to\": string,\n      \"to_code\": string (e.g., \"YYZ\"),\n      \"date\": string (ISO 8601, e.g., \"2025-06-24\"),\n      \"flight_number\": string\n    }\n  ],\n  \"hotel_booked\": boolean,\n  \"ground_transport_booked\": boolean\n}\n\n- Extract the 3-letter airport codes (IATA format) from the airport names and populate `from_code` and `to_code`.\n- If hotel or ground transport is marked “Not booked,” return `false`, otherwise `true`.\n- Always include both departure and return flights as separate items in the \"flights\" array.\n- Return only the JSON object, no extra text.\n"
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.9
    },
    {
      "id": "2a30a34e-76d2-4d89-a5f9-cf48f97f490e",
      "name": "Modelo de chat OpenAI2",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -100,
        620
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "",
          "name": ""
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "f0eb3490-4f5f-42ca-83fa-0a562a08d630",
      "name": "Split Out",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        320,
        420
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "output.flights"
      },
      "typeVersion": 1
    },
    {
      "id": "c7bb9d8b-a972-4d53-8217-8e77c29dda81",
      "name": "Record Flights Information",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        840,
        360
      ],
      "parameters": {
        "columns": {
          "value": {
            "To": "={{ $json.to }}",
            "From": "={{ $json.from }}",
            "To Code": "={{ $json.to_code }}",
            "Trip ID": "={{ $('AI Agent Parser').item.json.output.trip_id }}_{{ $json.type }}",
            "From Code": "={{ $json.from_code }}",
            "Flight Date": "={{ $json.date }}",
            "Flight Type": "={{ $json.type }}",
            "Hotel Booked": "={{ $('AI Agent Parser').item.json.output.hotel_booked }}",
            "Trip Purpose": "={{ $('AI Agent Parser').item.json.output.trip_purpose }}",
            "Flight Number": "={{ $json.flight_number }}",
            "Traveler Name": "={{ $('AI Agent Parser').item.json.output.traveler_name }}",
            "Ground Transport Booked": "={{ $('AI Agent Parser').item.json.output.ground_transport_booked }}"
          },
          "schema": [
            {
              "id": "Traveler Name",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Traveler Name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Trip Purpose",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Trip Purpose",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Trip ID",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Trip ID",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Hotel Booked",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Hotel Booked",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Ground Transport Booked",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Ground Transport Booked",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Flight Type",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Flight Type",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "From",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "From",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "From Code",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "From Code",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "To",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "To",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "To Code",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "To Code",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Flight Date",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Flight Date",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Flight Number",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Flight Number",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "append",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "",
          "cachedResultName": "Flight"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1Unyl-tEDYwtrILjNLOX7IbBP-TAYy8gcmqcZahPpiEI",
          "cachedResultUrl": "",
          "cachedResultName": "Carbon Emissions"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "",
          "name": ""
        }
      },
      "notesInFlow": true,
      "typeVersion": 4.6
    },
    {
      "id": "9a3da134-6af3-4130-9420-7efbd4d47d17",
      "name": "Loop Over Flights",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        540,
        420
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "8fa6af96-da24-449f-ab07-7c26eebf82e1",
      "name": "Collect CO2 Emissions",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1040,
        360
      ],
      "parameters": {
        "url": "https://www.carboninterface.com/api/v1/estimates",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"type\": \"flight\",\n  \"passengers\": 1,\n  \"legs\": [\n    {\n      \"departure_airport\": \"{{ $json['From Code'] }}\",\n      \"destination_airport\": \"{{ $json['To Code'] }}\"\n    }\n  ]\n}\n",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "Bearer YOUR_API_LEY"
            },
            {
              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        }
      },
      "notesInFlow": true,
      "typeVersion": 4.2
    },
    {
      "id": "0a297fa4-3ea0-485d-901e-48f8e3d32840",
      "name": "Load Results",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        1300,
        420
      ],
      "parameters": {
        "columns": {
          "value": {
            "Trip ID": "={{ $('Record Flights Information').item.json['Trip ID'] }}",
            "CO2 (kg)": "={{ $json.data.attributes.carbon_kg }}",
            "Distance (km)": "={{ $json.data.attributes.distance_value }}",
            "Estimation Time": "={{ $json.data.attributes.estimated_at }}"
          },
          "schema": [
            {
              "id": "Traveler Name",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "Traveler Name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Trip Purpose",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "Trip Purpose",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Trip ID",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Trip ID",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Hotel Booked",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "Hotel Booked",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Ground Transport Booked",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "Ground Transport Booked",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Flight Type",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "Flight Type",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "From",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "From",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "From Code",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "From Code",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "To",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "To",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "To Code",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "To Code",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Flight Date",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "Flight Date",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Flight Number",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "Flight Number",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Distance (km)",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Distance (km)",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "CO2 (kg)",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "CO2 (kg)",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Estimation Time",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Estimation Time",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "Trip ID"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "appendOrUpdate",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "",
          "cachedResultName": "Flight"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1Unyl-tEDYwtrILjNLOX7IbBP-TAYy8gcmqcZahPpiEI",
          "cachedResultUrl": "",
          "cachedResultName": "Carbon Emissions"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "",
          "name": ""
        }
      },
      "notesInFlow": true,
      "typeVersion": 4.6
    },
    {
      "id": "943097a7-84b2-4be1-a65a-711a8350daad",
      "name": "Nota adhesiva1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -360,
        -60
      ],
      "parameters": {
        "color": 7,
        "width": 180,
        "height": 820,
        "content": "### 1. Workflow Trigger with Gmail Trigger\nThe workflow is triggered by a new email received in your Gmail mailbox dedicated to process **flight schedules**.\n\n#### How to setup?\n- **Gmail Trigger Node:** set up your Gmail API credentials\n[Learn more about the Gmail Trigger Node](https://docs.n8n.io/integrations/builtin/trigger-nodes/n8n-nodes-base.gmailtrigger)\n"
      },
      "typeVersion": 1
    },
    {
      "id": "38d4649e-87c0-4bd6-b822-b88ff68309cc",
      "name": "Nota adhesiva2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -160,
        -60
      ],
      "parameters": {
        "color": 7,
        "width": 440,
        "height": 820,
        "content": "### 2. AI Agent to trip schedule report\nThis node will analyze the content of the email to extract information about the trip including **departure** and **return** trips with **airport codes** and booking information. \n\n#### How to setup?\n- **AI Agent with the Chat Model**:\n   1. Add a **chat model** with the required credentials *(Example: Open AI 4o-mini)*\n   2. Adapt the system prompt to the format of emails you expect to receive *(type of information included)*\n  [Learn more about the AI Agent Node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent)\n"
      },
      "typeVersion": 1
    },
    {
      "id": "01acc971-5482-4e00-846b-584660ec30ab",
      "name": "Nota adhesiva",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        300,
        -60
      ],
      "parameters": {
        "color": 7,
        "width": 1180,
        "height": 820,
        "content": "### 3. Record Shipment Request Information and fetch distance and driving time using Open Route API\nThis starts by recording all the information parsed by the AI node. Then, we use the **Open Route API** to complete with **geocoding data** *(GPS Coordinates)* that will be used to fetch **driving distance and time**.\n\n#### How to setup?\n- **Setup Carbone Interface API Credentials**\n  1. Get your free API key: [Carbon Interface API Documentation](https://docs.carboninterface.com/#/)\n  2. Fill the API key in the HTTP request node\n- **Load records in the Google Sheet Node**:\n   1. Add your Google Sheet API credentials to access the Google Sheet file\n   2. Select the file using the list, an URL or an ID\n   3. Select the sheet in which you want to record your working sessions\n   4. Map the fields: **traveler_name**, **trip_purpose**, **trip_id**, **hotel_booked**, **ground_transport_booked**, **flight_type**, **from**, **from_code**, **to**, **to_code**, **flight_date**, **flight_number**, **distance_km**, **carbon_kg**, **estimated_at**\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n  [Learn more about the Google Sheet Node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets)\n\nDistance, carbon emissions and estimation time will be fetched from the **Carbone Interface API**.\n"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "8a89f371-efb3-4bd0-8909-8fb802f7826d",
  "connections": {
    "f0eb3490-4f5f-42ca-83fa-0a562a08d630": {
      "main": [
        [
          {
            "node": "9a3da134-6af3-4130-9420-7efbd4d47d17",
            "type": "main",
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        ]
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    },
    "Gmail Trigger": {
      "main": [
        [
          {
            "node": "AI Agent Parser",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "AI Agent Parser": {
      "main": [
        [
          {
            "node": "f0eb3490-4f5f-42ca-83fa-0a562a08d630",
            "type": "main",
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            "type": "main",
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          }
        ]
      ]
    },
    "OpenAI Chat Model2": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent Parser",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "8fa6af96-da24-449f-ab07-7c26eebf82e1": {
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            "index": 0
          }
        ]
      ]
    },
    "5c7c052e-9a71-4867-9d05-492dac9a8b7c": {
      "ai_outputParser": [
        [
          {
            "node": "AI Agent Parser",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "c7bb9d8b-a972-4d53-8217-8e77c29dda81": {
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}
Preguntas frecuentes

¿Cómo usar este flujo de trabajo?

Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.

¿En qué escenarios es adecuado este flujo de trabajo?

Intermedio - Otros, Inteligencia Artificial, Operaciones de TI

¿Es de pago?

Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.

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🚚 Cálculo de emisiones de CO2 de carga usando Carbon Interface API y GPT-4o
🚚 Cálculo de emisiones de CO2 de carga utilizando Carbon Interface API y GPT-4o
Http Request
Gmail Trigger
Google Sheets
+
Http Request
Gmail Trigger
Google Sheets
10 NodosSamir Saci
Inteligencia Artificial
🤖🚚 gestión de pedidos de transporte basada en GPT-4o y Open Route API
🤖🚚 gestión de pedidos de transporte AI basado en GPT-4o y Open Route API
Set
Wait
Gmail
+
Set
Wait
Gmail
26 NodosSamir Saci
Inteligencia Artificial
🗞️ Boletín de marketing sostenible impulsado por AI (usando Gmail, GPT-4o)
🗞️ Boletín de marketing sostenible impulsado por IA (usando Gmail, GPT-4o)
If
Set
Code
+
If
Set
Code
21 NodosSamir Saci
Inteligencia Artificial
🉑 Generación de tarjetas de aprendizaje de idiomas con Google Translate y GPT-4o
🉑 Generación de tarjetas de aprendizaje de idiomas con Google Translate y GPT-4o
If
Set
Merge
+
If
Set
Merge
21 NodosSamir Saci
Otros
Explorar nodos de n8n en la biblioteca de referencias visuales
Explorar nodos de n8n en la base de referencia visual
If
Ftp
Set
+
If
Ftp
Set
113 NodosI versus AI
Otros
🌲 AI proxy para auditoría de informes de sostenibilidad utilizando Gmail y GPT-40
🌲 Agente de IA para auditoría de informes de sostenibilidad utilizando Gmail y GPT-40
If
Code
Gmail
+
If
Code
Gmail
14 NodosSamir Saci
Otros
Información del flujo de trabajo
Nivel de dificultad
Intermedio
Número de nodos12
Categoría3
Tipos de nodos9
Descripción de la dificultad

Adecuado para usuarios con experiencia intermedia, flujos de trabajo de complejidad media con 6-15 nodos

Autor
Samir Saci

Samir Saci

@samirsaci

Automation, AI and Analytics for Supply Chain & Business Optimization Helping businesses streamline operations using n8n, AI agents, and data science to enhance efficiency and sustainability. Linkedin: www.linkedin.com/in/samir-saci

Enlaces externos
Ver en n8n.io →

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