LinkedIn Lead-Personalisierung (Google Drive, Apify und KI)

Experte

Dies ist ein Content Creation, Multimodal AI-Bereich Automatisierungsworkflow mit 25 Nodes. Hauptsächlich werden If, Set, Code, DateTime, Telegram und andere Nodes verwendet. Personalisierung von LinkedIn-Leads (Google Drive, Apify und KI)

Voraussetzungen
  • Telegram Bot Token
  • Google Drive API-Anmeldedaten
  • Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
  • Google Sheets API-Anmeldedaten
  • OpenAI API Key
  • Anthropic API Key
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
  "meta": {
    "instanceId": "0862f70dc42e115052f6a2d4c2b6537665b4361a614cec7cd17d1c45c8868621",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "7452bd6f-2ff8-45bf-a617-6471f97b94ab",
      "name": "Anthropic Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "position": [
        1360,
        1008
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "claude-sonnet-4-20250514",
          "cachedResultName": "Claude Sonnet 4"
        },
        "options": {
          "temperature": 0.7
        }
      },
      "credentials": {
        "anthropicApi": {
          "id": "LS0BBfEu5Na7rs9Z",
          "name": "Anthropic_mariela"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "827ba763-e599-4f7b-aed0-6e55961dd76f",
      "name": "Haftnotiz10",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1328,
        784
      ],
      "parameters": {
        "color": 3,
        "width": 420,
        "height": 340,
        "content": "## Personalization based on LinkedIn Profile \n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "4688d3a9-8f3d-4433-9a81-6aa74ee4468f",
      "name": "Ende der Schleifen",
      "type": "n8n-nodes-base.code",
      "position": [
        48,
        128
      ],
      "parameters": {
        "jsCode": "// Get items from previous nodes\nconst items = $input.all();\n\n// Create a message for Telegram\nlet message = \"📊 *Lead Enrichment Results:*\\n\\n\";\n\n// Add Google Sheet information using the provided syntax\nconst sheetName = $('Google Drive Trigger1').first().json.name;\nconst sheetUrl = $('Google Drive Trigger1').first().json.webViewLink;\n\n// Add sheet name and URL to message\nmessage += `*Sheet Name:* ${sheetName}\\n`;\nmessage += `*URL:* ${sheetUrl}\\n\\n`;\n\n// Process all items\nitems.forEach((item, index) => {\n  \n  // Check if item has json data\n  if (item.json) {\n    // Add score and status if available\n    if (item.json.score) message += `*Score:* ${item.json.score}\\n`;\n    if (item.json.status) message += `*Status:* ${item.json.status}\\n`;\n  }\n  \n  message += \"\\n\";\n});\n\n// Log for debugging\nconsole.log(\"Message prepared:\", message);\n\n// Return the message to be sent to Telegram\nreturn [{ json: { message } }];"
      },
      "typeVersion": 2
    },
    {
      "id": "cb164d0f-899c-4279-9ba8-d41af5fca8bb",
      "name": "Haftnotiz",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1888,
        368
      ],
      "parameters": {
        "color": 5,
        "width": 420,
        "height": 360,
        "content": "## Update Google Sheet\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "f1a71d1e-cccc-4420-8394-6f8799c463db",
      "name": "Lead-Anreicherung bereit",
      "type": "n8n-nodes-base.telegram",
      "position": [
        272,
        128
      ],
      "webhookId": "926455ab-cd7e-4cde-99f0-b1e160ac3be6",
      "parameters": {
        "text": "={{ $json.message }}",
        "chatId": "[put your Telegram Bot Chat ID here]",
        "additionalFields": {}
      },
      "credentials": {
        "telegramApi": {
          "id": "xgqzwFjcXCMustjr",
          "name": "Telegram_MarinextAI"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "d5cc7599-1aa1-491e-ae20-086c15c752e2",
      "name": "Haftnotiz3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        0,
        0
      ],
      "parameters": {
        "color": 7,
        "width": 420,
        "height": 360,
        "content": "## Send Message to Telegram Bot\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "926d15a6-d8e6-451b-a234-ac709b1e0423",
      "name": "Personalisierung",
      "type": "n8n-nodes-base.set",
      "position": [
        1968,
        480
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "a9fff8dc-60fe-4f51-84c1-9b942deeb3a7",
              "name": "personalization",
              "type": "string",
              "value": "={{ $json.output }}"
            },
            {
              "id": "bc443ef4-6be5-4f90-93bc-c4c8ee3502db",
              "name": "sheetId",
              "type": "string",
              "value": "={{ $('Google Drive Trigger1').first().json.id }}"
            },
            {
              "id": "557dc3cb-f021-4d93-94b4-bc3f47760ce8",
              "name": "FileName",
              "type": "string",
              "value": "={{ $('Google Drive Trigger1').first().json.name }}"
            },
            {
              "id": "ce35648a-c08b-4f22-b825-adb077faa8fe",
              "name": "SheetName",
              "type": "string",
              "value": "="
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "f605f00d-d973-4919-859d-7475fb81662f",
      "name": "LinkedIn-Daten sammeln",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1104,
        864
      ],
      "parameters": {
        "url": "https://api.apify.com/v2/acts/dev_fusion~linkedin-profile-scraper/run-sync-get-dataset-items?token=[put your token here]",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"profileUrls\": [\"{{ $('Loop Over Items1').item.json.linkedinUrl }}\"]\n}",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            },
            {
              "name": "Accept",
              "value": "application/json"
            },
            {
              "name": "Authorization",
              "value": "Bearer [put your token here]"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "1b80dfc6-a55c-4ca9-a19d-7c97ba84f051",
      "name": "KI-Agent1",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1328,
        368
      ],
      "parameters": {
        "text": "=I need to create a personalized outreach message for a prospect. Please use this recent LinkedIn post from their profile and generate a single personalized sentence I can use in my outreach email.\n\nLinkedIn Post:\n{{ $('Scrape LinkedIn Profile Post').item.json.text }}\n\nContext: I own an AI automation agency focused on building Lead Generation Outreach and Lead Enrichment Systems. I'm reaching out to this person because their work appears relevant to our services.\n\nGenerate a single personalized sentence that references their LinkedIn activity in a natural, non-intrusive way that I can include in my outreach email. ",
        "options": {
          "systemMessage": "You are a LinkedIn Post Analyzer specialized in creating personalized outreach sentences. Your purpose is to examine the most recent LinkedIn posts from a prospect's profile and generate a single, authentic engagement sentence that can be used in cold email outreach.\n\nTASK:\n1. Use the most recent LinkedIn post provided in the user prompt.\n2. From the selected post, craft ONE personalized sentence (25-30 words maximum) that:\n   - References specific content from the post without appearing stalkerish\n   - Creates a genuine connection based on the post's content\n   - Uses conversational language that sounds natural in an email\n   - Avoids generic compliments or obvious flattery\n   - Maintains a professional tone while being personable\n\nIMPORTANT: Your output must ONLY contain the single personalized sentence with no labels or prefixes. Do not include \"Personalized Sentence:\" or any other text before your response. Do not include greetings, introductions, or closings. Focus solely on creating a natural reference to their LinkedIn post that demonstrates genuine interest in their professional perspective.\n\nThe output will be inserted directly into a CRM system with no human review, so it must be ready to use without any additional formatting or labels."
        },
        "promptType": "define"
      },
      "typeVersion": 1.8
    },
    {
      "id": "2b9bb8f4-0ec5-4712-a181-2eab3c3f50e0",
      "name": "Anthropic Chat Model3",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "position": [
        1328,
        528
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "claude-sonnet-4-20250514",
          "cachedResultName": "Claude Sonnet 4"
        },
        "options": {}
      },
      "credentials": {
        "anthropicApi": {
          "id": "LS0BBfEu5Na7rs9Z",
          "name": "Anthropic_mariela"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "5a811cc3-b9f4-47a4-b2ad-a94aa0ffd50a",
      "name": "LinkedIn Profilbeiträge scrapen",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        128,
        528
      ],
      "parameters": {
        "url": "https://api.apify.com/v2/acts/apimaestro~linkedin-profile-posts/run-sync-get-dataset-items?token=[put your token here]",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"limit\": 1,\n  \"username\": \"{{ $json.linkedinUrl }}\"\n}",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            },
            {
              "name": "Accept",
              "value": "application/json"
            },
            {
              "name": "Authorization",
              "value": "Bearer [put your token here]"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "ccaa40f8-f471-4f6b-9cae-3a6a4383282a",
      "name": "Über Elemente iterieren1",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        -96,
        512
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "db8d44e4-a0ce-4db2-b660-62043fc06101",
      "name": "Google Drive Trigger1",
      "type": "n8n-nodes-base.googleDriveTrigger",
      "position": [
        -1008,
        512
      ],
      "parameters": {
        "event": "fileCreated",
        "options": {},
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        },
        "triggerOn": "specificFolder",
        "folderToWatch": {
          "__rl": true,
          "mode": "list",
          "value": "1-b1yzCQA8RzQmG4vOaGKzYY8iZQxKpvf",
          "cachedResultUrl": "https://drive.google.com/drive/folders/1-b1yzCQA8RzQmG4vOaGKzYY8iZQxKpvf",
          "cachedResultName": "Clean Leads_Enrichment"
        }
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "JMOSxEuHpRTROOex",
          "name": "Google_marinextai"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "0fe1577c-db15-4973-968c-e8c9a5cf244b",
      "name": "Google Drive_DownLoad1",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        -800,
        512
      ],
      "parameters": {
        "fileId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $json.id }}"
        },
        "options": {},
        "operation": "download"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "JMOSxEuHpRTROOex",
          "name": "Google_marinextai"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "b20613a4-b475-4a1d-b146-723816431def",
      "name": "OpenAI",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "position": [
        544,
        528
      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini",
          "cachedResultName": "GPT-4.1-MINI"
        },
        "options": {},
        "messages": {
          "values": [
            {
              "role": "system",
              "content": "You are a LinkedIn Post Analyzer that determines if a profile has posts from the current year. Your sole purpose is to examine LinkedIn post data and determine if there are any posts from 2025.\nTASK:\nAnalyze the provided LinkedIn profile post data and determine:\n\nIf the profile has ANY posts\nIf any posts are from the current year (2025)\n\nOUTPUT FORMAT:\nYou must respond with EXACTLY ONE of these values:\n\n\"true\" - If there is at least one post from 2025\n\"false\" - If there are no posts from 2025\n\nDo not include any explanations, reasoning, or additional text - ONLY return \"true\" or \"false\" based on your analysis."
            },
            {
              "content": "=Examine the following LinkedIn profile data and determine if there are any posts from the current year - 2025.\nLinkedIn Profile Data:\n\nPost: {{ $('Scrape LinkedIn Profile Post').item.json.text }}\nDate: {{ $('Scrape LinkedIn Profile Post').item.json.posted_at.date }}\nCurrent Date: {{ $json.currentDate }}\n\nIf the data contains at least one post with a timestamp or date indicating it was posted in 2025, respond with only the word \"true\".\nIf the profile has no posts OR all posts are from years prior to 2025, respond with only the word \"false\".\nYour entire response must be ONLY \"true\" or \"false\" with no additional text."
            }
          ]
        },
        "jsonOutput": true
      },
      "credentials": {
        "openAiApi": {
          "id": "OwpPpcltPaXyVklS",
          "name": "OpenAi_Mariela.b.d."
        }
      },
      "typeVersion": 1.8
    },
    {
      "id": "45996741-f4a9-4d08-b48b-eeecce5e9614",
      "name": "Haftnotiz4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        464,
        432
      ],
      "parameters": {
        "width": 420,
        "height": 340,
        "content": "## Determines if the Linked Profile has a recent post \n"
      },
      "typeVersion": 1
    },
    {
      "id": "7d1ce1ea-ef57-45a4-9593-96abc904ff05",
      "name": "Datum & Uhrzeit",
      "type": "n8n-nodes-base.dateTime",
      "position": [
        320,
        528
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 2
    },
    {
      "id": "39a45d84-4d23-46fc-9226-37fd236dc807",
      "name": "Haftnotiz11",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -160,
        400
      ],
      "parameters": {
        "color": 4,
        "width": 420,
        "height": 360,
        "content": "## Scrape LinkedIn Recent Post"
      },
      "typeVersion": 1
    },
    {
      "id": "41c6ba1b-0147-4d9e-bb80-5e83ab30af4b",
      "name": "Wenn der LN-Beitrag in den letzten 30 Tagen",
      "type": "n8n-nodes-base.if",
      "position": [
        992,
        528
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "345eb764-6267-4f0c-9147-07f827cf605b",
              "operator": {
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.message.content.result }}",
              "rightValue": "true"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "28798f9a-bd93-49f9-b8f9-54757c807ec6",
      "name": "KI-Agent_Personalisierung_kein LN-Beitrag",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1408,
        864
      ],
      "parameters": {
        "text": "=Create ONE personalized, emotional opening sentence for a cold email to {{ $json.firstName }} {{ $json.lastName }} that will compel them to read further. Focus on our Lead Generation Sales System that saves time.\nOutput only the sentence, nothing else. \n",
        "options": {
          "systemMessage": "=You are a sales development expert crafting personalized cold email opening lines without website data.\n\nYour task is to create ONE compelling opening sentence for a cold email that will grab attention immediately. focus on:\n\n1. Using the name of the lead: {{ $json.firstName }}\n2. Using their headline: {{ $json.headline }}\n3. Using their LInkedIN about section: {{ $json.about }}\n4. Current company: {{ $json.experiences[0].subtitle }}\n5. Addressing a universal pain point related to lead generation that resonates with their likely business challenges\n6. Creating curiosity about our Lead Generation Sales System\n7. Mentioning a specific benefit (saving time, reducing costs, increasing conversion rates)\n8. Making it conversational and emotionally engaging (15-25 words maximum)\n\nOUR PRODUCT: We offer a Lead Generation Sales System that automates prospect qualification, outreach sequences and lead enrichment after booking. Key benefits include:\n- 60% reduction in time spent on manual prospecting\n- 40% lower customer acquisition costs\n- 3x higher quality leads through AI-powered targeting\n- Elimination of repetitive sales tasks\n\nTONE GUIDELINES:\n- Confident but not aggressive\n- Curious rather than presumptive\n- Focused on their potential gains, not their current problems\n- Conversational, as if from one professional to another\n\nEXAMPLES OF EXCELLENT OPENERS:\n- \"What if your sales team at [Company] could focus exclusively on closing while an automated system handles all prospecting, [First Name]?\"\n- \"The companies outperforming their competitors this quarter have one thing in common, [First Name]: they've eliminated manual lead generation entirely.\"\n- \"Imagine cutting your customer acquisition costs by 40% while simultaneously improving lead quality, [First Name] - that's what our system recently did for a company similar to [Company].\"\n- \"While researching innovative companies in the [derived industry] space, [Company]'s approach stood out as perfectly positioned to benefit from automated lead generation.\"\n\nRemember: ONE sentence only. Make it compelling enough that they WANT to read the next line of the email. "
        },
        "promptType": "define"
      },
      "typeVersion": 1.8
    },
    {
      "id": "21ee9d5d-4cf7-4431-8beb-3958fbc8b039",
      "name": "Google Sheet Parse",
      "type": "n8n-nodes-base.spreadsheetFile",
      "position": [
        -608,
        512
      ],
      "parameters": {
        "options": {
          "headerRow": true
        }
      },
      "typeVersion": 1
    },
    {
      "id": "de275fe8-4798-4e48-9de0-f4d75576ea26",
      "name": "Haftnotiz12",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1232,
        288
      ],
      "parameters": {
        "color": 4,
        "width": 420,
        "height": 340,
        "content": "## Personalization based on recent LN post\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "4710c92f-74d3-49e5-abc7-ab7e5acae2d8",
      "name": "Code1",
      "type": "n8n-nodes-base.code",
      "position": [
        -384,
        512
      ],
      "parameters": {
        "jsCode": "// Process all items from Google Sheet Parse\nconst items = $input.all();\n\n// Map the items to a more usable format\nconst processedItems = items.map(item => {\n  return {\n    json: {\n      firstName: item.json['First Name'],\n      lastName: item.json['Last Name'],\n      company: item.json['Company Name for Emails'],\n      linkedinUrl: item.json['Person Linkedin Url'],\n      email: item.json['Email'],\n      website: item.json['Website'],\n      // Add any other fields you need from the sheet\n    }\n  };\n});\n\nreturn limitedItems;"
      },
      "typeVersion": 2
    },
    {
      "id": "333b7a08-15fa-406f-8474-b222bffcc165",
      "name": "Google Sheets Update mit Personalisierung",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        2192,
        480
      ],
      "parameters": {
        "columns": {
          "value": {
            "email": "={{ $('Code1').item.json.email }}",
            "personalization": "={{ $json.personalization }}"
          },
          "schema": [
            {
              "id": "First Name",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "First Name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Last Name",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Last Name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Company Name for Emails",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Company Name for Emails",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Email",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Email",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Person Linkedin Url",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Person Linkedin Url",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Website",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Website",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "email",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "email",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "username",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "username",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "domain",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "domain",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "personalization",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "personalization",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "row_number",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": true,
              "required": false,
              "displayName": "row_number",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "email"
          ],
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        "options": {},
        "operation": "update",
        "sheetName": {
          "__rl": true,
          "mode": "name",
          "value": "=Sheet1"
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        "documentId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $json.sheetId }}"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "X2AWP2SzWWzqGSUt",
          "name": "Google_marinextai"
        }
      },
      "typeVersion": 4.5
    },
    {
      "id": "77f46864-2f96-4d90-a315-e8b7c31bc249",
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "color": 4,
        "width": 300,
        "height": 280,
        "content": "## Scrape LinkedIn Profile\n"
      },
      "typeVersion": 1
    }
  ],
  "pinData": {},
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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?

Experte - Content-Erstellung, Multimodales KI

Ist es kostenpflichtig?

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

Workflow-Informationen
Schwierigkeitsgrad
Experte
Anzahl der Nodes25
Kategorie2
Node-Typen15
Schwierigkeitsbeschreibung

Für fortgeschrittene Benutzer, komplexe Workflows mit 16+ Nodes

Autor
Mariela Slavenova

Mariela Slavenova

@marielabg

🚀 Fractional Head of AI Ops | COO | CTO | I diagnose, fix & ship automations that pay for themselves | The Harden Method™ - Discover→Design→Build→Break→Harden→Launch→Monitor | Founder @ MarinextAI

Externe Links
Auf n8n.io ansehen

Diesen Workflow teilen

Kategorien

Kategorien: 34