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간단한 LinkedIn 정보 수집기

고급

이것은Sales, AI, Marketing분야의자동화 워크플로우로, 23개의 노드를 포함합니다.주로 Set, Merge, NocoDb, SplitOut, HttpRequest 등의 노드를 사용하며인공지능 기술을 결합하여 스마트 자동화를 구현합니다. SerpAPI, OpenAI, NocoDB를 사용하여 LinkedIn 개인 프로필을 수집하고 AI 처리합니다.

사전 요구사항
  • 대상 API의 인증 정보가 필요할 수 있음
  • OpenAI API Key
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
{
  "id": "W5cevjhP3xIQdMhT",
  "meta": {
    "instanceId": "b8ef33547995f2a520f12118ac1f7819ea58faa7a1096148cac519fa08be8e99",
    "templateCredsSetupCompleted": true
  },
  "name": "Simple LinkedIn profile collector",
  "tags": [
    {
      "id": "DDb2eQi5fXOMcVD6",
      "name": "LinkedIn",
      "createdAt": "2025-04-27T16:44:17.404Z",
      "updatedAt": "2025-04-27T16:44:17.404Z"
    },
    {
      "id": "WvVrZMOsmCMjmf8G",
      "name": "leads",
      "createdAt": "2025-05-05T13:14:14.918Z",
      "updatedAt": "2025-05-05T13:14:14.918Z"
    },
    {
      "id": "hIooJnHTaPcNsX7s",
      "name": "SERP",
      "createdAt": "2025-05-05T13:14:29.068Z",
      "updatedAt": "2025-05-05T13:14:29.068Z"
    }
  ],
  "nodes": [
    {
      "id": "6a120c5d-3405-467e-8073-80bf30f2f0fc",
      "name": "Manual Trigger",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -580,
        160
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "5a4cb9af-faff-4fba-a5ce-d2c9bc25a070",
      "name": "Google search w/ SerpAPI",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -100,
        160
      ],
      "parameters": {
        "url": "https://serpapi.com/search",
        "options": {},
        "sendQuery": true,
        "authentication": "predefinedCredentialType",
        "queryParameters": {
          "parameters": [
            {
              "name": "q",
              "value": "=site:{{ $json.site }} {{ $json.Keyword }} {{ $json.Location }}"
            },
            {
              "name": "hl",
              "value": "={{ $json['Host langauge'] }}"
            },
            {
              "name": "gl",
              "value": "={{ $json.Geolocation }}"
            },
            {
              "name": "num",
              "value": "={{ $json['Number of search results to be returned'] }}"
            },
            {
              "name": "engine",
              "value": "={{ $json['Search engine'] }}"
            }
          ]
        },
        "nodeCredentialType": "serpApi"
      },
      "credentials": {
        "serpApi": {
          "id": "mL117f55z8IG4i1V",
          "name": "SerpAPI account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "300e3483-0f7b-427d-9f95-bf631dbda3d3",
      "name": "필드 편집",
      "type": "n8n-nodes-base.set",
      "position": [
        340,
        160
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "ab7399a3-8fe8-447b-b9c6-33240e07e2b6",
              "name": "NameInLinkedinProfile",
              "type": "string",
              "value": "={{ $json.title }}"
            },
            {
              "id": "6f9a2bd6-e46d-4294-adbf-29aec0b8b2eb",
              "name": "linkedinUrl",
              "type": "string",
              "value": "={{ $json.link }}"
            },
            {
              "id": "e1e87eb4-ecc8-4b50-ab74-4c0a0016f84d",
              "name": "Snippet",
              "type": "string",
              "value": "={{ $json.snippet }}"
            },
            {
              "id": "632ee133-06be-4730-9178-6edde40e087a",
              "name": "linkedinUrl",
              "type": "string",
              "value": "={{ $json.link }}"
            },
            {
              "id": "9ce26329-eedf-47ae-815b-f19fc34b2e83",
              "name": "Followers",
              "type": "string",
              "value": "={{ $json.displayed_link }}"
            },
            {
              "id": "39b81062-afd1-468d-95aa-e158bd34b773",
              "name": "Keyword",
              "type": "string",
              "value": "={{ $('Search parameter').item.json.Keyword }}"
            },
            {
              "id": "9e1ab1fc-86eb-44c0-bdcb-bc5dc63f069c",
              "name": "Location",
              "type": "string",
              "value": "={{ $('Search parameter').item.json.Location }}"
            },
            {
              "id": "f9e0eb5e-e81d-4cd3-8b47-d301ae7920e8",
              "name": "Rich snippet",
              "type": "string",
              "value": "={{ $json.rich_snippet.top.extensions }}"
            },
            {
              "id": "fca0eaa4-70e0-4c1e-99a9-bf66477aad0f",
              "name": "snippet_highlighted_words",
              "type": "string",
              "value": "={{ $json.snippet_highlighted_words }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "ca824e0a-dddd-401a-a48a-debe4821d24e",
      "name": "메모1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -160,
        -200
      ],
      "parameters": {
        "width": 220,
        "height": 520,
        "content": "### Adaptation required\nGet a free tier for serpAPI (Google Search) at serpapi.com\n\nSet up the credentials for serpAPI\n\nExplanations in the [n8n docs](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolserpapi/)"
      },
      "typeVersion": 1
    },
    {
      "id": "b8feccbd-6d14-4838-afc3-7fb9a1cd4f04",
      "name": "메모2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        80,
        -200
      ],
      "parameters": {
        "width": 180,
        "height": 520,
        "content": "### NO adaptation required\nThe search metadata is being discarded and only the \"organic results\" being preserved as individual list items as they are containing the relevant data\n"
      },
      "typeVersion": 1
    },
    {
      "id": "a5eb2f30-37e1-43b9-8e2c-dde0227908c5",
      "name": "메모3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        300,
        -200
      ],
      "parameters": {
        "width": 180,
        "height": 520,
        "content": "### NO adaptation required\nDiscard irrelevant search result (meta)data\n"
      },
      "typeVersion": 1
    },
    {
      "id": "94232837-e5b8-484e-b453-17952b3d8fbe",
      "name": "메모4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        500,
        -200
      ],
      "parameters": {
        "width": 520,
        "height": 520,
        "content": "### Adaptation required\n\n**This node does the following**:\n- Identify where possible the company name the LinkedIn profile is working in.\n- Turn the number of followers into a real number, e.g. \"3.3k+\" → 3300\n\n\n\n**Set up**\n- Get API credentials from openai.com\n- Set up credentials in n8n\n- Select the OpenAI model you want to use, e.g. GPT-4o\n- The prompt is already included but can be improved\n\n\n[n8n documentation](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/) for more explanations"
      },
      "typeVersion": 1
    },
    {
      "id": "3e3214b0-ace5-47e2-bb17-2db3c3db1de3",
      "name": "메타데이터 삭제",
      "type": "n8n-nodes-base.set",
      "position": [
        1080,
        160
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "a821b4a3-d4e2-4f37-a154-8606426078ef",
              "name": "followers_number",
              "type": "number",
              "value": "={{ $json.message.content.followers }}"
            },
            {
              "id": "e1ac8cc3-4a51-4c01-9e75-8d92dff3b70d",
              "name": "NameOfCompany",
              "type": "string",
              "value": "={{ $json.message.content.company_name }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "2b1a66c3-be8a-4b00-86ee-3438022ad775",
      "name": "LinkedIn profiles in Excel for download",
      "type": "n8n-nodes-base.convertToFile",
      "position": [
        1600,
        160
      ],
      "parameters": {
        "options": {},
        "operation": "xlsx"
      },
      "typeVersion": 1.1
    },
    {
      "id": "b1b982f2-eeb7-4816-be25-aee5568d2283",
      "name": "메모12",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1220,
        -200
      ],
      "parameters": {
        "color": 4,
        "width": 540,
        "height": 260,
        "content": "## What problem does this solve? \n\nIt fetches **LinkedIn profiles** based on a keyword and location via Google search and stores them in an Excel file for download and in a NocoDB database.\nIt tries to avoid using costly services and should be n8n **beginner friendly**.\nIt uses the SerpAPI.com to avoid being blocked by Google Search and to process the data in an easier way.\n"
      },
      "typeVersion": 1
    },
    {
      "id": "15340d73-272d-45a1-b96f-b75569bae0b5",
      "name": "메모",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1040,
        -200
      ],
      "parameters": {
        "width": 180,
        "height": 520,
        "content": "### NO adaption required\nThis node discards irrelevant OpenAI metadata"
      },
      "typeVersion": 1
    },
    {
      "id": "da183064-0eb2-4e7d-ad83-7aca8f9b9e36",
      "name": "메모10",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -420,
        120
      ],
      "parameters": {
        "height": 760,
        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Setting the parameters for Google search via SerpAPI\n\nSearching **LinkedIn profiles** by setting the following **parameters** for the Google query in the next node\n\n- Keyword on what to look for \n- Location or region to look into\n- Number of search results\n- Host language\n- Geolocation\n- Search engine\n\n\nMore on search parameters: https://serpapi.com/blog/google-search-parameters/ or in the [n8n docs](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolserpapi/)"
      },
      "typeVersion": 1
    },
    {
      "id": "1fc2f6f8-df39-47c5-92a1-c1a14cbe0d65",
      "name": "메모13",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1220,
        100
      ],
      "parameters": {
        "color": 4,
        "width": 540,
        "height": 200,
        "content": "## What does it do?\n\n- Based on criteria input, it searches LinkedIn profiles\n- It discards unnecessary data and turns the follower count into a real number\n- The output is provided as an Excel table for download and in a NocoDB database"
      },
      "typeVersion": 1
    },
    {
      "id": "a522ed81-9d50-464e-b872-42a4c66a8584",
      "name": "메모14",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1220,
        640
      ],
      "parameters": {
        "color": 4,
        "width": 540,
        "height": 500,
        "content": "## Step-by-step instruction\n\n\n1. Import the Workflow:\nCopy the workflow JSON from the \"Template Code\" section below.\nImport it into n8n via \"Import from File\" or \"Import from URL\".\n\n2. Set up a free account at serpapi.com and get API credentials to enable good Google search results\n\n3. Set up an API account at openai.com and get API key\n\n4. Set up a nocodb.com account (or self-host) and get the API credentials\n\n4. Create the credentials for serpapi.com, opemnai.com and nocodb.com in n8n.\n\n5. Set up a table in NocoDB with the fields indicated in the note above the NocoDB node\n\n5. Follow the instructions as detailed in the notes above individual nodes \n\n6. When the workflow is finished, open the Excel node and click download if you need the Excel file\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "69696205-5ed2-4891-8cf3-1bcf9fc83ebd",
      "name": "검색 매개변수",
      "type": "n8n-nodes-base.set",
      "position": [
        -360,
        160
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "d4c0a5dc-c656-45e7-bcd1-2cee3fbc9aa5",
              "name": "Keyword",
              "type": "string",
              "value": "nocode"
            },
            {
              "id": "f5365eff-7e79-411c-8ebb-a7d244e9e1fa",
              "name": "Location",
              "type": "string",
              "value": "Germany"
            },
            {
              "id": "24b4046f-7083-416d-8ae9-bc72c5323b14",
              "name": "Number of search results to be returned",
              "type": "string",
              "value": 20
            },
            {
              "id": "25c114e6-7628-4eb9-9b3e-a6bb5fbae1dc",
              "name": "Host langauge",
              "type": "string",
              "value": "en"
            },
            {
              "id": "ac29cb67-89ec-41ae-870c-196a4bf524a6",
              "name": "Geolocation",
              "type": "string",
              "value": "de"
            },
            {
              "id": "d1e78115-f788-4ffd-9374-60b83e7e2b8a",
              "name": "Search engine",
              "type": "string",
              "value": "google"
            },
            {
              "id": "7af59bb4-548b-4061-8095-3261b2ce8227",
              "name": "site",
              "type": "string",
              "value": "linkedin.com/in"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "0b588ebc-eddf-4c4c-a0c2-81cc0e8ae9d1",
      "name": "검색 결과를 개별 항목으로 변환",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        120,
        160
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "organic_results"
      },
      "typeVersion": 1
    },
    {
      "id": "daef5714-3e40-4ac1-a02e-f3dacddeb5e8",
      "name": "회사명 및 팔로워",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "position": [
        620,
        160
      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o",
          "cachedResultName": "GPT-4O"
        },
        "options": {},
        "messages": {
          "values": [
            {
              "content": "=Transform  {{ $json.Followers }} into a number and extract where possible the name of the company in {{ $json.NameInLinkedinProfile }} or in {{ $json.Snippet }} Do not output things like location or name, only followers and company_name"
            }
          ]
        },
        "jsonOutput": true
      },
      "credentials": {
        "openAiApi": {
          "id": "0Vdk5RlVe7AoUdAM",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.8
    },
    {
      "id": "2f204f01-836c-41ab-97c1-38fee34adffc",
      "name": "병합을 통한 최종 데이터 생성",
      "type": "n8n-nodes-base.merge",
      "position": [
        1300,
        280
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "combineBy": "combineByPosition"
      },
      "typeVersion": 3.1
    },
    {
      "id": "f52e65b5-1369-4410-99fe-0cb0c11f5da5",
      "name": "메모5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1260,
        -60
      ],
      "parameters": {
        "width": 180,
        "height": 520,
        "content": "### NO adaption required\nThis node creates the final data output "
      },
      "typeVersion": 1
    },
    {
      "id": "de7ace7e-ba9b-4abb-a54b-8996fc9b88a6",
      "name": "메모9",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1540,
        -60
      ],
      "parameters": {
        "width": 220,
        "height": 520,
        "content": "### NO adaption required\nThis node creates stores all the data in an Excel file which can be downloaded. \n- Open the node\n- Click on download button"
      },
      "typeVersion": 1
    },
    {
      "id": "17a32318-e1bc-4c07-b6a2-59f47a68a595",
      "name": "메모11",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1540,
        480
      ],
      "parameters": {
        "width": 780,
        "height": 920,
        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Adaption required\n\n- This node creates stores all the data in an NocoDB database for further utilization.\n- In case the database is not needed, just delete this node.\n\n\n\n**Set up part 1**\n\n- Create an NocoDB account, either via nocodb.com or self-hosted\n- Create the credentials in n8n along the [n8n documentation](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.nocodb/)\n- Set up a table with a name of your choice\n\n\n**Set up part 2**\n\nCreate the following fields in this table: \n- NameInLinkedinProfile (type: Single line text): name of the person\n- NameOfCompany: the name of the company as generated by OpenAI\n- linkedinUrl (type: url): the link to the LinkedIn profile\n- Followers: the number of followers as text and indicated by LinkedIn \n- followers_number (type: Number): the number of followers as a number\n- Keyword: the keyword used for searching LinkedIn profiles\n- Location: the location used for searching LinkedIn profiles \n- Rich snippet (type: Long text): \n- snippet_highlighted_words (type: Long text): \n\n\n**Adaptations in the node itself**\n- Make sure that the right table is selected\n- Select \"row\" in the \"Resources\" field\n- Select \"create\" in the field \"Operation\"\n- Select \"Auto map ....\" in the field \"Data to Send\""
      },
      "typeVersion": 1
    },
    {
      "id": "d41f26fe-9068-4202-9677-a355c5276999",
      "name": "NocoDB 테이블에 데이터 저장",
      "type": "n8n-nodes-base.nocoDb",
      "position": [
        1600,
        520
      ],
      "parameters": {
        "table": "mttbkp3hxy9rnwx",
        "operation": "create",
        "projectId": "puqzjel7f0swv1t",
        "dataToSend": "autoMapInputData",
        "authentication": "nocoDbApiToken"
      },
      "credentials": {
        "nocoDbApiToken": {
          "id": "gjNns0VJMS3P2RQ3",
          "name": "NocoDB Token account"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "98212dd7-5449-4fc1-b96f-3f1b94931c32",
      "name": "메모15",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1220,
        320
      ],
      "parameters": {
        "color": 4,
        "width": 540,
        "height": 280,
        "content": "## How does it do it?\n\n- Based on criteria input, it uses serpAPI.com to conduct Google search of the respective LinkedI profiles\n- With OpenAI.com the name of the respective company is being added\n- With OpenAI.com the follower number e.g., 300+ is turned into a real number: 300\n- All unnecessary metadata is being discarded\n- As an output an Excel file is being created\n- The output is stored in a nocodb.com table"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "ba732d3f-968b-445d-83cc-e58a47b97e30",
  "connections": {
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            "type": "main",
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        ]
      ]
    },
    "5a4cb9af-faff-4fba-a5ce-d2c9bc25a070": {
      "main": [
        [
          {
            "node": "0b588ebc-eddf-4c4c-a0c2-81cc0e8ae9d1",
            "type": "main",
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        ]
      ]
    },
    "2f204f01-836c-41ab-97c1-38fee34adffc": {
      "main": [
        [
          {
            "node": "2b1a66c3-be8a-4b00-86ee-3438022ad775",
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          },
          {
            "node": "d41f26fe-9068-4202-9677-a355c5276999",
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        ]
      ]
    },
    "0b588ebc-eddf-4c4c-a0c2-81cc0e8ae9d1": {
      "main": [
        [
          {
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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 - 영업, 인공지능, 마케팅

유료인가요?

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.

워크플로우 정보
난이도
고급
노드 수23
카테고리3
노드 유형9
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고급 사용자를 위한 16+개 노드의 복잡한 워크플로우

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Askan

Askan

@askans

Workflow automation enthusiast

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