Linkedin Auto Claude

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

{
  "updatedAt": "2026-05-11T22:05:23.000Z",
  "createdAt": "2026-05-11T17:13:49.118Z",
  "id": "RHiufL0e6mCunYHx",
  "name": "LinkedIn auto Claude",
  "description": null,
  "active": false,
  "isArchived": true,
  "nodes": [
    {
      "parameters": {
        "promptType": "define",
        "text": "=Offre d'emploi : {{ $json.content }}",
        "hasOutputParser": true,
        "options": {
          "systemMessage": "=# Identity & Tone\nTu es l'assistant 'Jobby 2.0' de Julien. Ton ton est professionnel, encourageant et surtout d'une honn\u00eatet\u00e9 radicale. Tu ne survends pas le profil, tu observes les \"abysses\" (les \u00e9carts) avec pr\u00e9cision.\n\n# Purpose\nAnalyser le fit entre le CV de Julien (Ultra-Traileur, Solutions Engineer) et l'opportunit\u00e9 fournie.\n\n# Analysis Rules\n1. Be Honest: Donne un score de 1 \u00e0 10. Si le fit est mauvais, explique pourquoi sans d\u00e9tour.\n2. Strengths & Weaknesses: Identifie clairement ce qui matche et ce qui manque.\n3. \"CONTRAINTE DE TAILLE : Ton analyse doit \u00eatre extr\u00eamement concise. Vise 1500 caract\u00e8res maximum. Si tu d\u00e9passes, le syst\u00e8me rejettera ta r\u00e9ponse.\"\n\n# Output Format (STRICT JSON)\nR\u00e9ponds UNIQUEMENT par un objet JSON respectant ces cl\u00e9s pour Notion :\n{\n  \"domain\": \"Generative AI, Automation, Management, null\",\n  \"job_title\": \"string (Titre exact de l'offre)\",\n  \"category\": \"string (Posture du r\u00f4le, ex: Strategic Pre-sales)\",\n  \"company\": \"string\",\n  \"link\": \"string (URL de l'offre)\",\n  \"match_score\": 0,\n  \"status\": \"To review, Shortlisted, Applied, No response\",\n  \"quick_summary\": \"string (MAX 150 caract\u00e8res, catchy)\",\n  \"full_analysis\": \"string (Bullet points, max 1200 caract\u00e8res)\",\n  \"response_date\": \"YYYY-MM-DD\"\n}\n\n## CV de Julien \n{{ $json.content }}"
        }
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 3.1,
      "position": [
        336,
        144
      ],
      "id": "612bbf4b-8954-4b83-840f-c33cc7c2f51a",
      "name": "AI Agent",
      "onError": "continueErrorOutput"
    },
    {
      "parameters": {
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "typeVersion": 1.1,
      "position": [
        336,
        352
      ],
      "id": "35f54581-9214-41c0-99ab-2ea9ca47b006",
      "name": "Google Gemini Chat Model",
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "jsCode": "// 1. R\u00e9cup\u00e9ration s\u00e9curis\u00e9e (Webhook ou fallback)\nconst body = $json.body || {};\nconst fallbackUrl = body.job_url || \"N/A\";\nconst text = $json.output || \"\"; // L'output qui vient de Gemini\n\n// 2. Extraction du bloc JSON\nconst regex = /\\{[\\s\\S]*\\}/;\nconst match = text.match(regex);\n\nif (match) {\n  try {\n    const data = JSON.parse(match);\n\n    // 3. Transformation en Tableaux de cha\u00eenes [ \"A\", \"B\" ]\n    const toSimpleArray = (val) => {\n      if (!val) return [];\n      let rawItems = Array.isArray(val) ? val : val.toString().split(/[|,\\/&]|\\band\\b/);\n      return rawItems.map(i => i.trim()).filter(i => i.length > 1);\n    };\n\n    // 4. Reconstruction de l'objet pour Notion\n    return {\n      domain: toSimpleArray(data.domain || data.Domain),\n      category: toSimpleArray(data.category || data.Category),\n      job_title: data.job_title || body.job_title || \"Unknown Position\",\n      company: data.company || body.company || \"Unknown Company\",\n      link: data.link || data.url || fallbackUrl,\n      score: parseInt(data.match_score) || 0,\n      status: data.status || \"To review\",\n      summary: data.quick_summary || \"Analysis ready\",\n      analysis: (data.full_analysis || \"\").substring(0, 1900)\n    };\n\n  } catch (e) {\n    return { error: \"JSON Parsing Error\", message: e.message, raw: text.substring(0, 100) };\n  }\n}\n\nreturn { error: \"No JSON found in AI output\" };"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        688,
        0
      ],
      "id": "dcc2707a-59e7-4e7c-9bc7-080a78cd5924",
      "name": "Code in JavaScript",
      "onError": "continueErrorOutput"
    },
    {
      "parameters": {
        "resource": "databasePage",
        "databaseId": {
          "__rl": true,
          "value": "127bad1f-b25a-4b6b-8eec-7b342e3aa504",
          "mode": "list",
          "cachedResultName": "Linked Detector",
          "cachedResultUrl": "https://www.notion.so/127bad1fb25a4b6b8eec7b342e3aa504"
        },
        "title": "LinkedIn Detector",
        "simple": false,
        "propertiesUi": {
          "propertyValues": [
            {
              "key": "Job Title|title",
              "title": "={{ $json.job_title }}"
            },
            {
              "key": "category|multi_select",
              "multiSelectValue": "={{ $json.category }}"
            },
            {
              "key": "URL|url",
              "urlValue": "={{ $json.link }}"
            },
            {
              "key": "Match Score|number",
              "numberValue": "={{ $json.score }}"
            },
            {
              "key": "Status|status",
              "statusValue": "={{ $json.status }}"
            },
            {
              "key": "Company|select",
              "selectValue": "={{ $json.company }}"
            },
            {
              "key": "domain|multi_select",
              "multiSelectValue": "={{ $json.domain }}"
            },
            {
              "key": "analysis|rich_text",
              "textContent": "={{ $json.analysis }}"
            }
          ]
        },
        "blockUi": {
          "blockValues": [
            {
              "type": "heading_1",
              "textContent": "Analyse compl\u00e8te"
            },
            {
              "textContent": "={{ $json.analysis }}"
            }
          ]
        },
        "options": {
          "iconType": "emoji",
          "icon": "\ud83c\udd95"
        }
      },
      "type": "n8n-nodes-base.notion",
      "typeVersion": 2.2,
      "position": [
        1008,
        -16
      ],
      "id": "82beaf40-e678-48a3-97e2-a5b596d3fe09",
      "name": "Create a database page",
      "retryOnFail": false,
      "executeOnce": false,
      "credentials": {
        "notionApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "authentication": "serviceAccount",
        "operation": "get",
        "documentURL": "1_Gri6268rXvHDK__MVqT_3f7vlSR5OLEWqOJpaFwrPs"
      },
      "type": "n8n-nodes-base.googleDocs",
      "typeVersion": 2,
      "position": [
        112,
        144
      ],
      "id": "f5bc94b4-b204-4318-bcf1-69bbf2d5b59b",
      "name": "Get a document",
      "credentials": {
        "googleApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "errorMessage": "={{ $('AI Agent').item.json.error }}"
      },
      "type": "n8n-nodes-base.stopAndError",
      "typeVersion": 1,
      "position": [
        1040,
        384
      ],
      "id": "5f0179f4-ea83-40dc-86f1-80fa832a6c04",
      "name": "Stop and Error"
    },
    {
      "parameters": {
        "source": "parameter",
        "workflowJson": "=\n{{\nJSON.stringify({\n  \"workflow_name\": \"LinkedIn Auto\",\n  \"node_name\": $nodeName,\n  \"error_message\": $json.error?.message || $json.message || \"Erreur inconnue\",\n  \"timestamp\": $now.format('HH:mm:ss'),\n  \"raw_data\": JSON.stringify($json)\n})\n}}\n\n",
        "options": {
          "waitForSubWorkflow": false
        }
      },
      "type": "n8n-nodes-base.executeWorkflow",
      "typeVersion": 1.3,
      "position": [
        1200,
        176
      ],
      "id": "9e913868-c303-4591-a5ec-2b91a029fd11",
      "name": "Notion logger"
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "b5b6f70f-9a52-4430-952c-63ac4f1c4d26",
        "options": {
          "responseData": "{\"status\": \"processing\"}"
        }
      },
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2.1,
      "position": [
        -208,
        144
      ],
      "id": "625afc4f-913f-49ad-9470-7dac4a9ab14c",
      "name": "Webhook"
    }
  ],
  "connections": {
    "Google Gemini Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "AI Agent": {
      "main": [
        [
          {
            "node": "Code in JavaScript",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Stop and Error",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Code in JavaScript": {
      "main": [
        [
          {
            "node": "Create a database page",
            "type": "main",
            "index": 0
          }
        ],
        []
      ]
    },
    "Get a document": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Create a database page": {
      "main": [
        [],
        []
      ]
    },
    "Webhook": {
      "main": [
        [
          {
            "node": "Get a document",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1",
    "binaryMode": "separate",
    "timeSavedMode": "fixed",
    "timezone": "Europe/Paris",
    "callerPolicy": "workflowsFromSameOwner",
    "availableInMCP": false
  },
  "staticData": null,
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "versionId": "df36cc3f-dd3f-45cd-befc-e60138a35291",
  "activeVersionId": null,
  "versionCounter": 2,
  "triggerCount": 0,
  "shared": [
    {
      "updatedAt": "2026-05-11T17:13:49.120Z",
      "createdAt": "2026-05-11T17:13:49.120Z",
      "role": "workflow:owner",
      "workflowId": "RHiufL0e6mCunYHx",
      "projectId": "GfFdmZTqGEJQkrXG",
      "project": {
        "updatedAt": "2026-05-11T09:44:44.757Z",
        "createdAt": "2026-05-11T09:34:45.695Z",
        "id": "GfFdmZTqGEJQkrXG",
        "name": "\u00c9ole Wind <megazef@gmail.com>",
        "type": "personal",
        "icon": null,
        "description": null,
        "creatorId": "2792484d-cba3-4156-adba-fbc49134eb55"
      }
    }
  ],
  "tags": [],
  "activeVersion": null
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

• googleApi
• googlePalmApi
• notionApi

About this workflow

LinkedIn auto Claude. Uses agent, lmChatGoogleGemini, notion, googleDocs. Webhook trigger; 8 nodes.

Source: https://github.com/gnueole/jobby-md2html/blob/main/n8n/linkedin-auto-claude.json — original creator credit. Request a take-down →

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