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Decodo와 GPT-4o-mini를 사용하여 LinkedIn 인재 정보와 데이터 탐색

고급

이것은HR, AI RAG분야의자동화 워크플로우로, 19개의 노드를 포함합니다.주로 Set, Code, Merge, Function, GoogleSheets 등의 노드를 사용하며. LinkedIn, Decodo, GPT-4o-mini를 사용하여 인재 정보와 데이터 마이닝 추출 및 분석

사전 요구사항
  • Google Sheets API 인증 정보
  • OpenAI API Key

카테고리

워크플로우 미리보기
노드 연결 관계를 시각적으로 표시하며, 확대/축소 및 이동을 지원합니다
워크플로우 내보내기
다음 JSON 구성을 복사하여 n8n에 가져오면 이 워크플로우를 사용할 수 있습니다
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  "name": "LinkedIn Talent Intelligence and Data Mining using Decodo with GPT-4o-mini",
  "tags": [
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      "id": "ddPkw7Hg5dZhQu2w",
      "name": "AI",
      "createdAt": "2025-04-13T05:38:08.053Z",
      "updatedAt": "2025-04-13T05:38:08.053Z"
    },
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      "name": "Building Blocks",
      "createdAt": "2025-04-13T15:23:40.462Z",
      "updatedAt": "2025-04-13T15:23:40.462Z"
    },
    {
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      "name": "Engineering",
      "createdAt": "2025-04-09T01:31:00.558Z",
      "updatedAt": "2025-04-09T01:31:00.558Z"
    },
    {
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      "createdAt": "2025-04-13T04:59:30.580Z",
      "updatedAt": "2025-04-13T04:59:30.580Z"
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        "content": "## Purpose\n\nAdvanced talent intelligence platform that performs data mining on LinkedIn profiles to generate comprehensive recruitment insights and predictive job matching analytics.\n\n### Flow Summary:\n\n- Input: LinkedIn profile URL and Job Description.\n\n- Decodo: Performs comprehensive web scraping of LinkedIn profile data\n\n- OpenAI GPT-4o-mini: Extracts structured profile data with advanced parsing\n\n- Advanced Data Mining Engine: Performs deep analytics including skills analysis, experience intelligence, cultural fit assessment, career trajectory insights, and competitive advantage identification\n\n- Advanced Summarization Engine: Performs the comprehensive and abstraction summarization of the LinkedIn profile content\n\n- Output: Comprehensive JSON with structured profile data and advanced recruitment intelligence ready for ATS, CRM systems, or talent analytics platforms.\n\n### Use Case:\nIdeal for data-driven recruiters, talent acquisition teams, HR analytics professionals, and recruitment technology platforms requiring sophisticated candidate analysis and predictive matching capabilities"
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자주 묻는 질문

이 워크플로우를 어떻게 사용하나요?

위의 JSON 구성 코드를 복사하여 n8n 인스턴스에서 새 워크플로우를 생성하고 "JSON에서 가져오기"를 선택한 후, 구성을 붙여넣고 필요에 따라 인증 설정을 수정하세요.

이 워크플로우는 어떤 시나리오에 적합한가요?

고급 - 인사, AI RAG

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이 워크플로우는 완전히 무료이며 직접 가져와 사용할 수 있습니다. 다만, 워크플로우에서 사용하는 타사 서비스(예: OpenAI API)는 사용자 직접 비용을 지불해야 할 수 있습니다.

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저자
Ranjan Dailata

Ranjan Dailata

@ranjancse

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

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