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LinkedIn Profil-Extraktion und JSON-Lebenslauf-Erstellung (Bright Data und Google Gemini)

Experte

Dies ist ein HR, AI-Bereich Automatisierungsworkflow mit 19 Nodes. Hauptsächlich werden Set, Code, Function, HttpRequest, ManualTrigger und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. LinkedIn-Profil-Extraktion und JSON-Lebenslauf-Erstellung (Bright Data und Google Gemini)

Voraussetzungen
  • •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
  • •Google Gemini API Key

Verwendete Nodes (19)

Set
Code
Function
StickyNote
HttpRequest
ManualTrigger
ReadWriteFile
ChainLlm
LmChatGoogleGemini
InformationExtractor

Kategorie

Personalwesen
Künstliche Intelligenz
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
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  },
  "name": "LinkedIn Profile Extract and Build JSON Resume with Bright Data & Google Gemini",
  "tags": [
    {
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      "name": "Engineering",
      "createdAt": "2025-04-09T01:31:00.558Z",
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  ],
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      "name": "Bei Klick auf 'Workflow testen'",
      "type": "n8n-nodes-base.manualTrigger",
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      "parameters": {},
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    {
      "id": "df338f53-cb90-4529-befb-382735043ec2",
      "name": "URL und Bright Data Zone setzen",
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              "name": "url",
              "type": "string",
              "value": "https://www.linkedin.com/in/ranjan-dailata"
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      "name": "Bright Data Web-Anfrage durchführen",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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      ],
      "parameters": {
        "url": "https://api.brightdata.com/request",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "sendHeaders": true,
        "authentication": "genericCredentialType",
        "bodyParameters": {
          "parameters": [
            {
              "name": "zone",
              "value": "={{ $json.zone }}"
            },
            {
              "name": "url",
              "value": "={{ $json.url }}"
            },
            {
              "name": "format",
              "value": "raw"
            },
            {
              "name": "data_format",
              "value": "markdown"
            }
          ]
        },
        "genericAuthType": "httpHeaderAuth",
        "headerParameters": {
          "parameters": [
            {}
          ]
        }
      },
      "credentials": {
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          "id": "kdbqXuxIR8qIxF7y",
          "name": "Header Auth account"
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      "typeVersion": 4.2
    },
    {
      "id": "078d4a98-9c45-4370-a579-06450798f1a1",
      "name": "Markdown zu Textdaten-Extraktor",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
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      ],
      "parameters": {
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        "messages": {
          "messageValues": [
            {
              "message": "You are a markdown expert"
            }
          ]
        },
        "promptType": "define"
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      "name": "Skill-Extraktor",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
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      ],
      "parameters": {
        "text": "=Perform Data Mining and extract the skills from the provided resume\n\n {{ $json.text }}",
        "options": {},
        "schemaType": "manual",
        "inputSchema": "{\n\t\"type\": \"array\",\n\t\"properties\": {\n\t\t\"skill\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n        \"desc\": {\n\t\t\t\"type\": \"string\"\n\t\t}\n\t}\n}"
      },
      "retryOnFail": true,
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    },
    {
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      "name": "Google Gemini Chat-Modell für Skill-Extraktor",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
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      "position": [
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      "parameters": {
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      },
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    {
      "id": "b9e899f3-a1a4-4dce-af96-1814fb3c03b7",
      "name": "Strukturierte Inhalte auf Festplatte schreiben",
      "type": "n8n-nodes-base.readWriteFile",
      "position": [
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      "parameters": {
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    {
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      "type": "n8n-nodes-base.httpRequest",
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      "parameters": {
        "url": "={{ $('Set URL and Bright Data Zone').item.json.webhook_notification_url }}",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "json_resume",
              "value": "={{ $('JSON Resume Extractor').item.json.output.toJsonString() }}"
            }
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    {
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      "name": "Haftnotiz4",
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      "position": [
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        "color": 5,
        "width": 440,
        "height": 240,
        "content": "## LLM Usages\n\nGoogle Gemini LLM is being utilized for the structured data extraction handling."
      },
      "typeVersion": 1
    },
    {
      "id": "a100ebc9-9253-4e80-93d9-60174a08e7d9",
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      "position": [
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      "parameters": {
        "color": 7,
        "width": 400,
        "height": 340,
        "content": "## Logo\n\n\n![logo](https://images.seeklogo.com/logo-png/43/1/brightdata-logo-png_seeklogo-439974.png)\n"
      },
      "typeVersion": 1
    },
    {
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      "position": [
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        "height": 240,
        "content": "## Note\n\nDeals with the LinkedIn profile data extraction by utilizing the Bright Data and Google Gemini LLM for transforming the profile into a structured JSON resume with the structured skill extraction.\n\n**Please make sure to set the input fields node with the LinkedIn profile URL, Bright Data zone name, Webhook notification URL**\n"
      },
      "typeVersion": 1
    },
    {
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      "position": [
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      "parameters": {
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        "width": 1100,
        "height": 960,
        "content": "## Structured Data Extract using LLM"
      },
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    },
    {
      "id": "e06fcc12-c264-439f-84f2-1988587e21c6",
      "name": "JSON Resume Extractor",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
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      ],
      "parameters": {
        "text": "=Extract the resume in JSON format.\n {{ $json.text }}",
        "options": {},
        "schemaType": "manual",
        "inputSchema": "{\n  \"$schema\": \"http://json-schema.org/draft-07/schema#\",\n  \"title\": \"JSON Resume\",\n  \"type\": \"object\",\n  \"properties\": {\n    \"basics\": {\n      \"type\": \"object\",\n      \"properties\": {\n        \"name\": { \"type\": \"string\" },\n        \"label\": { \"type\": \"string\" },\n        \"image\": { \"type\": \"string\", \"format\": \"uri\" },\n        \"email\": { \"type\": \"string\", \"format\": \"email\" },\n        \"phone\": { \"type\": \"string\" },\n        \"url\": { \"type\": \"string\", \"format\": \"uri\" },\n        \"summary\": { \"type\": \"string\" },\n        \"location\": {\n          \"type\": \"object\",\n          \"properties\": {\n            \"address\": { \"type\": \"string\" },\n            \"postalCode\": { \"type\": \"string\" },\n            \"city\": { \"type\": \"string\" },\n            \"countryCode\": { \"type\": \"string\" },\n            \"region\": { \"type\": \"string\" }\n          }\n        },\n        \"profiles\": {\n          \"type\": \"array\",\n          \"items\": {\n            \"type\": \"object\",\n            \"properties\": {\n              \"network\": { \"type\": \"string\" },\n              \"username\": { \"type\": \"string\" },\n              \"url\": { \"type\": \"string\", \"format\": \"uri\" }\n            }\n          }\n        }\n      }\n    },\n    \"work\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"name\": { \"type\": \"string\" },\n          \"position\": { \"type\": \"string\" },\n          \"url\": { \"type\": \"string\", \"format\": \"uri\" },\n          \"startDate\": { \"type\": \"string\", \"format\": \"date\" },\n          \"endDate\": { \"type\": \"string\", \"format\": \"date\" },\n          \"summary\": { \"type\": \"string\" },\n          \"highlights\": {\n            \"type\": \"array\",\n            \"items\": { \"type\": \"string\" }\n          }\n        }\n      }\n    },\n    \"volunteer\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"organization\": { \"type\": \"string\" },\n          \"position\": { \"type\": \"string\" },\n          \"url\": { \"type\": \"string\", \"format\": \"uri\" },\n          \"startDate\": { \"type\": \"string\", \"format\": \"date\" },\n          \"endDate\": { \"type\": \"string\", \"format\": \"date\" },\n          \"summary\": { \"type\": \"string\" },\n          \"highlights\": {\n            \"type\": \"array\",\n            \"items\": { \"type\": \"string\" }\n          }\n        }\n      }\n    },\n    \"education\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"institution\": { \"type\": \"string\" },\n          \"url\": { \"type\": \"string\", \"format\": \"uri\" },\n          \"area\": { \"type\": \"string\" },\n          \"studyType\": { \"type\": \"string\" },\n          \"startDate\": { \"type\": \"string\", \"format\": \"date\" },\n          \"endDate\": { \"type\": \"string\", \"format\": \"date\" },\n          \"score\": { \"type\": \"string\" },\n          \"courses\": {\n            \"type\": \"array\",\n            \"items\": { \"type\": \"string\" }\n          }\n        }\n      }\n    },\n    \"awards\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"title\": { \"type\": \"string\" },\n          \"date\": { \"type\": \"string\", \"format\": \"date\" },\n          \"awarder\": { \"type\": \"string\" },\n          \"summary\": { \"type\": \"string\" }\n        }\n      }\n    },\n    \"certificates\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"name\": { \"type\": \"string\" },\n          \"date\": { \"type\": \"string\", \"format\": \"date\" },\n          \"issuer\": { \"type\": \"string\" },\n          \"url\": { \"type\": \"string\", \"format\": \"uri\" }\n        }\n      }\n    },\n    \"publications\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"name\": { \"type\": \"string\" },\n          \"publisher\": { \"type\": \"string\" },\n          \"releaseDate\": { \"type\": \"string\", \"format\": \"date\" },\n          \"url\": { \"type\": \"string\", \"format\": \"uri\" },\n          \"summary\": { \"type\": \"string\" }\n        }\n      }\n    },\n    \"skills\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"name\": { \"type\": \"string\" },\n          \"level\": { \"type\": \"string\" },\n          \"keywords\": {\n            \"type\": \"array\",\n            \"items\": { \"type\": \"string\" }\n          }\n        }\n      }\n    },\n    \"languages\": {\n      \"type\": \"array\",\n      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            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
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 - Personalwesen, Künstliche Intelligenz

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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Autor
Ranjan Dailata

Ranjan Dailata

@ranjancse

A Professional based out of India specialized in handling AI-powered automations. Contact me at ranjancse@gmail.com

Externe Links
Auf n8n.io ansehen →

Diesen Workflow teilen

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