Automatisierte LinkedIn-Talentanalyse und -zusammenfassung mit Decodo + Google Gemini

Name: Automatisierte LinkedIn-Talentanalyse und -zusammenfassung mit Decodo + Google Gemini
Rating: 4.5 (10 reviews)
Author: Ranjan Dailata

Fortgeschritten

Dies ist ein Automatisierungsworkflow mit 13 Nodes. Hauptsächlich werden Set, Code, Merge, GoogleSheets, ManualTrigger und andere Nodes verwendet. Automatisierte LinkedIn-Talentprofile und -Zusammenfassungen mit Decodo, Gemini und Google Sheets

Voraussetzungen

•Google Sheets API-Anmeldedaten
•Google Gemini API Key

Verwendete Nodes (13)

Kategorie

Workflow-Vorschau

Visualisierung der Node-Verbindungen, mit Zoom und Pan

Bei Klick auf 'Workflow ausführen'

Decodo

Eingabefelder setzen

Structured Data Extractor

Die JSON extrahieren

Inhalt zusammenfassen

Google Gemini Chat Model for Summary

Google Gemini Chat Model for Structured Data

Zusammenführen

Zeile in Sheet anhängen oder aktualisieren

React Flow

Workflow exportieren

Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n

{
  "id": "xJoEWpZRp13AAMki",
  "meta": {
    "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
    "templateCredsSetupCompleted": true
  },
  "name": "Automated LinkedIn Talent Profiling & Summary via Decodo + Google Gemini",
  "tags": [
    {
      "id": "ddPkw7Hg5dZhQu2w",
      "name": "AI",
      "createdAt": "2025-04-13T05:38:08.053Z",
      "updatedAt": "2025-04-13T05:38:08.053Z"
    },
    {
      "id": "ZOwtAMLepQaGW76t",
      "name": "Building Blocks",
      "createdAt": "2025-04-13T15:23:40.462Z",
      "updatedAt": "2025-04-13T15:23:40.462Z"
    },
    {
      "id": "Kujft2FOjmOVQAmJ",
      "name": "Engineering",
      "createdAt": "2025-04-09T01:31:00.558Z",
      "updatedAt": "2025-04-09T01:31:00.558Z"
    },
    {
      "id": "rKOa98eAi3IETrLu",
      "name": "HR",
      "createdAt": "2025-04-13T04:59:30.580Z",
      "updatedAt": "2025-04-13T04:59:30.580Z"
    }
  ],
  "nodes": [
    {
      "id": "4034ac8c-2f0b-492b-a59d-be1019d722f5",
      "name": "Bei Klick auf 'Workflow ausführen'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -800,
        -64
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "ce250b96-1d0f-45d6-941b-3ab1fcb5c533",
      "name": "Notizzettel",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -800,
        112
      ],
      "parameters": {
        "width": 496,
        "height": 496,
        "content": "## Purpose\n\nAutomatically extract, parse, and analyze LinkedIn profiles to generate structured talent summaries and insights.\n\n### Flow Summary:\n\n- Input: LinkedIn profile URL.\n\n- Decodo: Performs Webscraping of LinkedIn profile by URL\n\n- Google Gemini: Enriches and summarizes data into a professional candidate profile.\n\n- Output: Structured JSON or formatted report ready for ATS or Notion storage.\n\n### Use Case:\nIdeal for recruiters, HR tech apps, or AI-powered hiring agents needing quick, intelligent talent profiling of LinkedIn profile"
      },
      "typeVersion": 1
    },
    {
      "id": "98e14b64-f6c3-44cf-837f-8f220c282f47",
      "name": "Decodo",
      "type": "@decodo/n8n-nodes-decodo.decodo",
      "position": [
        -304,
        -64
      ],
      "parameters": {
        "geo": "={{ $json.geo }}",
        "url": "={{ $json.url }}"
      },
      "credentials": {
        "decodoApi": {
          "id": "7xLvINFuwxDiyBde",
          "name": "Decodo Credentials account"
        }
      },
      "retryOnFail": true,
      "typeVersion": 1
    },
    {
      "id": "3db7159a-dad0-43ab-bd29-2e08191a3457",
      "name": "Eingabefelder setzen",
      "type": "n8n-nodes-base.set",
      "position": [
        -544,
        -64
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "01a2dade-6674-4158-8303-97a1151d3965",
              "name": "url",
              "type": "string",
              "value": "https://www.linkedin.com/in/ranjan-dailata/"
            },
            {
              "id": "82a8ccde-dc3c-4ed1-b81e-bbcf44a2cf11",
              "name": "geo",
              "type": "string",
              "value": "India"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "5b443a66-7913-49f4-89c9-8a58ef762372",
      "name": "Structured Data Extractor",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        80,
        -224
      ],
      "parameters": {
        "text": "=Parse and Extract the following content  {{ $json.data.results[0].content }} in JSON Resume Schema",
        "batching": {},
        "messages": {
          "messageValues": [
            {
              "message": "You are an expert resume parser"
            }
          ]
        },
        "promptType": "define"
      },
      "retryOnFail": true,
      "typeVersion": 1.7,
      "alwaysOutputData": true
    },
    {
      "id": "5ed28ee3-0cbf-42c4-be64-d9aecb8314d6",
      "name": "Die JSON extrahieren",
      "type": "n8n-nodes-base.code",
      "position": [
        528,
        -224
      ],
      "parameters": {
        "jsCode": "let text =  $input.first().json.text;\nconst output = [];\n\n// Remove ```json ... ``` or ``` ... ``` wrappers\ntext = text\n      .replace(/```json\\s*/gi, '')\n      .replace(/```/g, '')\n      .trim();\n\n// Parse the cleaned JSON text\nconst parsed = JSON.parse(text);\noutput.push({ json: parsed });\n\nreturn output;"
      },
      "typeVersion": 2
    },
    {
      "id": "1cf7ad6b-473b-44b8-9fd7-f1107039c68e",
      "name": "Inhalt zusammenfassen",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        80,
        112
      ],
      "parameters": {
        "text": "=Analyze and Summarize the {{ $json.data.results[0].content }}\n\nDo not output your own thoughts or suggestions or recommendations. Instead, just output the summary.",
        "batching": {},
        "messages": {
          "messageValues": [
            {
              "message": "You are an expert summarizer"
            }
          ]
        },
        "promptType": "define"
      },
      "retryOnFail": true,
      "typeVersion": 1.7,
      "alwaysOutputData": true
    },
    {
      "id": "65825d65-86d5-42c5-818f-747b35407d58",
      "name": "Google Gemini Chat Model for Summary",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        80,
        272
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "3a39ce1a-9f66-425b-8c49-b22e4aae1afe",
      "name": "Google Gemini Chat Model for Structured Data",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        80,
        -64
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "420ca142-d1a2-4196-acab-1780b893c385",
      "name": "Notizzettel1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -800,
        -336
      ],
      "parameters": {
        "color": 7,
        "width": 384,
        "height": 208,
        "content": "![Logo](https://cdn.brandfetch.io/idIeG9_eXK/w/100/h/100/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1756483136894)\n\nGoogle Gemini AI for the Structured Data Extraction and Summarization purposes"
      },
      "typeVersion": 1
    },
    {
      "id": "f3c5a8d9-9f11-4f4c-936d-d3327cda88b0",
      "name": "Notizzettel2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -128,
        -304
      ],
      "parameters": {
        "color": 6,
        "width": 608,
        "height": 736,
        "content": "## Data Enrichment "
      },
      "typeVersion": 1
    },
    {
      "id": "e86ebfd4-5e9e-4883-92c4-979af93d4455",
      "name": "Zusammenführen",
      "type": "n8n-nodes-base.merge",
      "position": [
        736,
        0
      ],
      "parameters": {},
      "typeVersion": 3.2
    },
    {
      "id": "f767e615-77a1-43dc-967f-a9a74c0289e4",
      "name": "Zeile in Sheet anhängen oder aktualisieren",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        992,
        0
      ],
      "parameters": {
        "columns": {
          "value": {
            "profile": "={{ $json.toJsonString()}}"
          },
          "schema": [
            {
              "id": "profile",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "profile",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "summary",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "summary",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "profile"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "appendOrUpdate",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1nopL6tWWBydiGqRz4HuyTjbp4D_1to75QNGzLszUV-g/edit#gid=0",
          "cachedResultName": "Sheet1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1nopL6tWWBydiGqRz4HuyTjbp4D_1to75QNGzLszUV-g",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1nopL6tWWBydiGqRz4HuyTjbp4D_1to75QNGzLszUV-g/edit?usp=drivesdk",
          "cachedResultName": "LinkedIn Profiling"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "Zjoxh2BUZ6VXGQhA",
          "name": "Google Sheets account"
        }
      },
      "typeVersion": 4.7
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "cd2f9ee6-a590-4bef-8562-0bb39b5db19e",
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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

Ist es kostenpflichtig?

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