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비정형 데이터에서 정형 데이터로

고급

이것은Document Extraction, AI Summarization분야의자동화 워크플로우로, 16개의 노드를 포함합니다.주로 DataTable, GmailTrigger, DataTableTool, EmailReadImap, Agent 등의 노드를 사용하며. 行动计划:사용OpenAI模型처리이메일源및데이터表

사전 요구사항
  • Google 계정 및 Gmail API 인증 정보
  • OpenAI API Key
  • Google Gemini 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": "zGGBdrGLXA50cO1A",
  "meta": {
    "instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
    "templateCredsSetupCompleted": true
  },
  "name": "From Unstructured Data To Structured Data",
  "tags": [],
  "nodes": [
    {
      "id": "97cce9f4-cb8e-4ea7-872b-e1f8054afc3a",
      "name": "Gmail 트리거",
      "type": "n8n-nodes-base.gmailTrigger",
      "position": [
        -480,
        -224
      ],
      "parameters": {
        "filters": {},
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        }
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "nyuHvSX5HuqfMPlW",
          "name": "Gmail account (n3w.it)"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "13fffb5b-724c-4adf-8c99-5e16f10a5324",
      "name": "OpenAI 채팅 모델",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -112,
        160
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "TefveNaDaMERl1hY",
          "name": "OpenAi account (Eure)"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "90d9983b-b4a6-427f-970c-388bae72fb1f",
      "name": "Structured Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        128,
        160
      ],
      "parameters": {
        "autoFix": true,
        "schemaType": "manual",
        "inputSchema": "{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"from\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n\t\t\"to\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n        \"subject\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n        \"summarize\": {\n\t\t\t\"type\": \"string\"\n\t\t}\n\t}\n}"
      },
      "typeVersion": 1.3
    },
    {
      "id": "1165ea37-01f5-4835-b04d-c91395519e04",
      "name": "OpenAI 채팅 모델1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        80,
        336
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "TefveNaDaMERl1hY",
          "name": "OpenAi account (Eure)"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "481c0914-84c3-4c5f-9247-ec709bf18e53",
      "name": "행 삽입",
      "type": "n8n-nodes-base.dataTable",
      "position": [
        288,
        -64
      ],
      "parameters": {
        "columns": {
          "value": {
            "To": "={{ $json.output.to }}",
            "From": "={{ $json.output.from }}",
            "Subject": "={{ $json.output.subject }}",
            "Summary": "={{ $json.output.summarize }}"
          },
          "schema": [
            {
              "id": "From",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "From",
              "defaultMatch": false
            },
            {
              "id": "Subject",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "Subject",
              "defaultMatch": false
            },
            {
              "id": "Summary",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "Summary",
              "defaultMatch": false
            },
            {
              "id": "To",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "To",
              "defaultMatch": false
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "dataTableId": {
          "__rl": true,
          "mode": "list",
          "value": "LZKeHWCZU60XbKyM",
          "cachedResultUrl": "/projects/mfFxBtuhQcXKlWHw/datatables/LZKeHWCZU60XbKyM",
          "cachedResultName": "Email output parser"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "ca682a7e-9630-4c8b-b8eb-17f557354eb8",
      "name": "이메일 트리거 (IMAP)",
      "type": "n8n-nodes-base.emailReadImap",
      "position": [
        -480,
        -64
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "imap": {
          "id": "k31W9oGddl9pMDy4",
          "name": "IMAP info@n3witalia.com"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "15c2dbd5-6e23-4920-843a-7ce7a43fdcf5",
      "name": "Microsoft Outlook 트리거",
      "type": "n8n-nodes-base.microsoftOutlookTrigger",
      "position": [
        -480,
        80
      ],
      "parameters": {
        "filters": {},
        "options": {},
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        }
      },
      "credentials": {
        "microsoftOutlookOAuth2Api": {
          "id": "oYlYok8LYOhL04rM",
          "name": "Microsoft Outlook account (dave85heat@hotmail.it)"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "04dc1bd7-6ecb-457f-835b-e67b910e30ad",
      "name": "파싱 에이전트",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -64,
        -64
      ],
      "parameters": {
        "text": "={{JSON.stringify($json)}}",
        "options": {
          "systemMessage": "=**Role:**\nYou are a data extraction and parsing agent integrated in an n8n workflow.\n\n**Goal:**\nGiven a JSON input containing one or more emails , your task is to parse and extract structured information from the email content.\n\n**Instructions:**\n\n1. Carefully read the email content provided in the `body` field of the JSON input.\n2. Identify and extract key entities and data points mentioned in the text \n3. Return the extracted data in a **clean, structured JSON format**.\n4. If specific data cannot be found, return the field as `null` instead of omitting it.\n5. Preserve the original structure of the input email list, so that each parsed result corresponds to the same email in the input array.\n6. Do not include any explanations, reasoning, or text outside of JSON.\n\n**Important:**\n\n* Be consistent with field names and data formats (use ISO 8601 for dates, plain strings for text).\n* Never return unstructured text or commentary — only valid JSON.\n* Output should always be a JSON array of parsed objects."
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 2.2
    },
    {
      "id": "b0d03646-57f1-4eb0-8f1c-3c27c3900466",
      "name": "스티커 노트",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -512,
        -928
      ],
      "parameters": {
        "color": 3,
        "width": 976,
        "height": 400,
        "content": "## How to Transform Unstructured Email Data into Structured Format Using an AI Agent\n\nThis workflow leverages artificial intelligence to automatically transform **unstructured email data** from multiple sources — including **Gmail**, **Outlook**, and **IMAP** — into **structured** and summarized information.\n\nThe workflow retrieves incoming emails and sends their content to an **AI agent** specifically designed to parse and interpret unstructured text. The agent extracts key metadata and insights from each message, including:\n\n* **From** – the sender’s email address\n* **To** – the recipient’s email address\n* **Subject** – the subject line of the email\n* **Summarize** – a concise summary of the email body generated by the AI\n\nOnce processed, the structured output is stored in a **database table**. This allows for easy indexing, reporting, and integration with other business systems.\n\nBy automating this process, the flow ensures consistent, searchable, and easily digestible information from diverse email sources significantly reducing manual review and improving workflow efficiency."
      },
      "typeVersion": 1
    },
    {
      "id": "17751b90-4db6-45d7-b426-db157e1199db",
      "name": "스티커 노트1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -512,
        -512
      ],
      "parameters": {
        "width": 480,
        "height": 176,
        "content": "## STEP 1\nCreata a n8n table with the following fields:\n- From\n- To\n- Subject\n- Summary"
      },
      "typeVersion": 1
    },
    {
      "id": "fc864e0b-f04e-4996-a012-fbe7ad52dc6b",
      "name": "스티커 노트2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -16,
        -512
      ],
      "parameters": {
        "width": 480,
        "height": 176,
        "content": "## STEP 2\nConnect triggers from different sources:\n- Gmail\n- Outlook\n- Imap"
      },
      "typeVersion": 1
    },
    {
      "id": "ebabb739-ecb9-450b-abb5-1d27d6a95832",
      "name": "스티커 노트3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        112,
        96
      ],
      "parameters": {
        "width": 272,
        "height": 176,
        "content": "Set the structured data from json"
      },
      "typeVersion": 1
    },
    {
      "id": "84b10b19-a1a2-4fac-b791-8ef5aa1160c6",
      "name": "채팅 메시지 수신 시",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        576,
        -64
      ],
      "webhookId": "cd94eebb-fa9b-4b7e-b4ed-09ddfd80fbf0",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.3
    },
    {
      "id": "e846ffd6-7ee5-4486-9f6d-a73f349814b9",
      "name": "이메일 에이전트",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        880,
        -64
      ],
      "parameters": {
        "options": {
          "systemMessage": "You are a helpful assistant.\n\nUse always the \"Emails\" tool to search for the request."
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "c833e8c1-68d5-421c-9f71-0d928b14ad19",
      "name": "이메일",
      "type": "n8n-nodes-base.dataTableTool",
      "position": [
        1056,
        160
      ],
      "parameters": {
        "filters": {
          "conditions": [
            {
              "keyName": "From",
              "keyValue": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('conditions0_Value', `Search the emails sent from`, 'string') }}",
              "condition": "ilike"
            },
            {
              "keyName": "Subject",
              "keyValue": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('conditions1_Value', `Search the emails with these subject`, 'string') }}",
              "condition": "ilike"
            },
            {
              "keyName": "To",
              "keyValue": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('conditions2_Value', `Search the emails sent to`, 'string') }}",
              "condition": "ilike"
            },
            {
              "keyName": "Summary",
              "keyValue": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('conditions3_Value', `Search the emails with these summaries`, 'string') }}",
              "condition": "ilike"
            }
          ]
        },
        "operation": "get",
        "returnAll": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}",
        "dataTableId": {
          "__rl": true,
          "mode": "list",
          "value": "LZKeHWCZU60XbKyM",
          "cachedResultUrl": "/projects/mfFxBtuhQcXKlWHw/datatables/LZKeHWCZU60XbKyM",
          "cachedResultName": "Email output parser"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "16feafab-fa9e-4acb-85b5-cd04e6b621d0",
      "name": "Google Gemini 채팅 모델",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        800,
        144
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "googlePalmApi": {
          "id": "0p34rXqIqy8WuoPg",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "7527b0d6-cf52-4bd1-81d5-ad39002dda1f",
  "connections": {
    "c833e8c1-68d5-421c-9f71-0d928b14ad19": {
      "ai_tool": [
        [
          {
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            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "97cce9f4-cb8e-4ea7-872b-e1f8054afc3a": {
      "main": [
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            "type": "main",
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          }
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    },
    "04dc1bd7-6ecb-457f-835b-e67b910e30ad": {
      "main": [
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            "type": "main",
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          }
        ]
      ]
    },
    "13fffb5b-724c-4adf-8c99-5e16f10a5324": {
      "ai_languageModel": [
        [
          {
            "node": "04dc1bd7-6ecb-457f-835b-e67b910e30ad",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
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    },
    "1165ea37-01f5-4835-b04d-c91395519e04": {
      "ai_languageModel": [
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            "node": "90d9983b-b4a6-427f-970c-388bae72fb1f",
            "type": "ai_languageModel",
            "index": 0
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    "ca682a7e-9630-4c8b-b8eb-17f557354eb8": {
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            "type": "main",
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    "16feafab-fa9e-4acb-85b5-cd04e6b621d0": {
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    },
    "90d9983b-b4a6-427f-970c-388bae72fb1f": {
      "ai_outputParser": [
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          {
            "node": "04dc1bd7-6ecb-457f-835b-e67b910e30ad",
            "type": "ai_outputParser",
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          }
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    "15c2dbd5-6e23-4920-843a-7ce7a43fdcf5": {
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    "84b10b19-a1a2-4fac-b791-8ef5aa1160c6": {
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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 - 문서 추출, AI 요약

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
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카테고리2
노드 유형11
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저자

Full-stack Web Developer based in Italy specialising in Marketing & AI-powered automations. For business enquiries, send me an email at info@n3w.it or add me on Linkedin.com/in/davideboizza

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카테고리: 34