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✈️ Utiliser l'API CarbonInterface et GPT-4o pour calculer les émissions de CO2 des voyages d'affaires

Intermédiaire

Ceci est unOther, AI, IT Opsworkflow d'automatisation du domainecontenant 12 nœuds.Utilise principalement des nœuds comme SplitOut, HttpRequest, GmailTrigger, GoogleSheets, SplitInBatches, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. ✈️ viaCarbon Interface APIetGPT-4o计算商务旅行二氧化碳排放

Prérequis
  • •Peut nécessiter les informations d'identification d'authentification de l'API cible
  • •Compte Google et informations d'identification Gmail API
  • •Informations d'identification Google Sheets API
  • •Clé API OpenAI

Nœuds utilisés (12)

SplitOut
StickyNote
HttpRequest
GmailTrigger
GoogleSheets
SplitInBatches
Agent
LmChatOpenAi
OutputParserStructured

Catégorie

Autres
Intelligence Artificielle
Opérations IT
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
React Flow
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
  "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": "Déclencheur 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": "Agent 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": "Modèle 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": "Note adhésive1",
      "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": "Note adhésive2",
      "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": "Note adhésive",
      "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": {
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            "type": "main",
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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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    },
    "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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}
Foire aux questions

Comment utiliser ce workflow ?

Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.

Dans quelles scénarios ce workflow est-il adapté ?

Intermédiaire - Autres, Intelligence Artificielle, Opérations IT

Est-ce payant ?

Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.

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Http Request
Gmail Trigger
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+
Http Request
Gmail Trigger
Google Sheets
10 NœudsSamir Saci
Intelligence Artificielle
🤖🚚 Agent IA de gestion des commandes de transport basé sur GPT-4o et Open Route API
🤖🚚 Agent IA pour la gestion des commandes de transport basé sur GPT-4o et Open Route API
Set
Wait
Gmail
+
Set
Wait
Gmail
26 NœudsSamir Saci
Intelligence Artificielle
🗞️ Brief marketing de durabilité piloté par l'IA (utilise Gmail, GPT-4o)
🗞️ Brief marketing durable IA (utilisant Gmail, GPT-4o)
If
Set
Code
+
If
Set
Code
21 NœudsSamir Saci
Intelligence Artificielle
🉑 Utiliser Google Translate et GPT-4o pour générer des cartes flash de langage d'apprentissage Anki
🉑 utilisationGoogle TranslateetGPT-4ogénération语言学习Anki闪卡
If
Set
Merge
+
If
Set
Merge
21 NœudsSamir Saci
Autres
Explorer les nœuds n8n dans la bibliothèque de références visuelles
Explorer les nœuds n8n dans la base de références visuelles
If
Ftp
Set
+
If
Ftp
Set
113 NœudsI versus AI
Autres
🌲 Agent IA pour l'audit de rapports de durabilité en utilisant Gmail et GPT-40
🌲 utilisationGmailetGPT-40进行可持续发展rapport审计deAIagent
If
Code
Gmail
+
If
Code
Gmail
14 NœudsSamir Saci
Autres
Informations sur le workflow
Niveau de difficulté
Intermédiaire
Nombre de nœuds12
Catégorie3
Types de nœuds9
Description de la difficulté

Adapté aux utilisateurs expérimentés, avec des workflows de complexité moyenne contenant 6-15 nœuds

Auteur
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

Liens externes
Voir sur n8n.io →

Partager ce workflow

Catégories

IA Multimodale
1540
Intelligence Artificielle
1108
Création de contenu
695
Résumé IA
516
Marketing
419
Chatbot IA
251
Ingénierie
241
Étude de marché
203
Divers
193
Autres
176
Ventes
162
Opérations IT
156
Extraction de documents
147
RAG IA
146
Blocs de construction
144
Réseaux sociaux
137
Génération de leads
125
Productivité personnelle
117
DevOps
111
Ressources Humaines
101
Support
97
Nurturing de leads
87
CRM
82
Finance
81
Produit
77
Chatbot de support
76
Design
70
Gestion des tickets
67
Opérations de sécurité
57
Traitement des factures
53
Trading crypto
49
Gestion de fichiers
39
Gestion de projet
35
Wiki interne
32

Catégories: 34