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✈️ Berechnung des CO2-Fußabdrucks von Geschäftsreisen mit CarbonInterface API und GPT-4o

Fortgeschritten

Dies ist ein Other, AI, IT Ops-Bereich Automatisierungsworkflow mit 12 Nodes. Hauptsächlich werden SplitOut, HttpRequest, GmailTrigger, GoogleSheets, SplitInBatches und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. ✈️ Berechnung von CO2-Emissionen für Geschäftsreisen über Carbon Interface API und GPT-4o

Voraussetzungen
  • •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
  • •Google-Konto + Gmail API-Anmeldedaten
  • •Google Sheets API-Anmeldedaten
  • •OpenAI API Key

Verwendete Nodes (12)

SplitOut
StickyNote
HttpRequest
GmailTrigger
GoogleSheets
SplitInBatches
Agent
LmChatOpenAi
OutputParserStructured

Kategorie

Sonstiges
Künstliche Intelligenz
IT-Betrieb
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
React Flow
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
  "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": "Gmail-Trigger",
      "type": "n8n-nodes-base.gmailTrigger",
      "position": [
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      ],
      "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
    },
    {
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      "name": "KI-Agent Parser",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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      ],
      "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": "OpenAI-Chat-Modell2",
      "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": "Haftnotiz1",
      "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": "Haftnotiz2",
      "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": "Haftnotiz",
      "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": {
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    "Gmail Trigger": {
      "main": [
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            "type": "main",
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        ]
      ]
    },
    "AI Agent Parser": {
      "main": [
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    },
    "OpenAI Chat Model2": {
      "ai_languageModel": [
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          {
            "node": "AI Agent Parser",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
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    "5c7c052e-9a71-4867-9d05-492dac9a8b7c": {
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}
Häufig gestellte Fragen

Wie verwende ich diesen Workflow?

Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.

Für welche Szenarien ist dieser Workflow geeignet?

Fortgeschritten - Sonstiges, Künstliche Intelligenz, IT-Betrieb

Ist es kostenpflichtig?

Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.

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+
Http Request
Gmail Trigger
Google Sheets
10 NodesSamir Saci
Künstliche Intelligenz
🤖🚚 KI-Agent zur Verwaltung von Transportaufträgen basierend auf GPT-4o und Open Route API
🤖🚚 KI-Agent zur Verwaltung von Transportaufträgen basierend auf GPT-4o und Open Route API
Set
Wait
Gmail
+
Set
Wait
Gmail
26 NodesSamir Saci
Künstliche Intelligenz
🗞️ KI-gestützte Nachhaltigkeits-Marketing-Briefing (mit Gmail, GPT-4o)
🗞️ KI-gesteuertes Nachhaltigkeits-Marketing-Briefing (mit Gmail, GPT-4o)
If
Set
Code
+
If
Set
Code
21 NodesSamir Saci
Künstliche Intelligenz
🉑 Generieren von Sprachlern-Anki-Karten mit Google Translate und GPT-4o
🉑 Generieren von Sprachlern-Anki-Flashcards mit Google Translate und GPT-4o
If
Set
Merge
+
If
Set
Merge
21 NodesSamir Saci
Sonstiges
n8n-Knoten in der visuellen Referenzbibliothek erkunden
Erkundung von n8n-Knoten in der visuellen Referenzbibliothek
If
Ftp
Set
+
If
Ftp
Set
113 NodesI versus AI
Sonstiges
🌲 KI-Agent zur Nachhaltigkeitsberichterstattungsprüfung mit Gmail und GPT-40
🌲 KI-Agent zur Nachhaltigkeitsberichtsrevision mit Gmail und GPT-40
If
Code
Gmail
+
If
Code
Gmail
14 NodesSamir Saci
Sonstiges
Workflow-Informationen
Schwierigkeitsgrad
Fortgeschritten
Anzahl der Nodes12
Kategorie3
Node-Typen9
Schwierigkeitsbeschreibung

Für erfahrene Benutzer, mittelkomplexe Workflows mit 6-15 Nodes

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

Externe Links
Auf n8n.io ansehen →

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Kategorien

Multimodales KI
1540
Künstliche Intelligenz
1108
Content-Erstellung
695
KI-Zusammenfassung
516
Marketing
419
KI-Chatbot
251
Engineering
241
Marktforschung
203
Verschiedenes
193
Sonstiges
176
Vertrieb
162
IT-Betrieb
156
Dokumentenextraktion
147
KI RAG
146
Bausteine
144
Soziale Medien
137
Lead-Generierung
125
Persönliche Produktivität
117
DevOps
111
Personalwesen
101
Support
97
Lead-Pflege
87
Kundenbeziehungsmanagement
82
Finanzen
81
Produkt
77
Support-Chatbot
76
Design
70
Ticketverwaltung
67
Sicherheitsbetrieb
57
Rechnungsverarbeitung
53
Krypto-Handel
49
Dateiverwaltung
39
Projektmanagement
35
Internes Wiki
32

Kategorien: 34