8
n8n 한국어amn8n.com

Excel, Outlook, AI를 사용하는 매일 뉴스 요약 서비스

고급

이것은AI, Marketing분야의자동화 워크플로우로, 33개의 노드를 포함합니다.주로 If, Set, Html, Merge, SplitOut 등의 노드를 사용하며인공지능 기술을 결합하여 스마트 자동화를 구현합니다. Excel, Outlook, AI를 사용한 매일 뉴스 요약 서비스

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
{
  "meta": {
    "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "c3a9ba81-3a7e-4afe-be8b-cf482cbb88c2",
      "name": "일정 트리거",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        -1040,
        -540
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "triggerAtHour": 6
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "f63d035c-5a7b-4cf4-8730-5fa7dff6f94b",
      "name": "Get Subscribers",
      "type": "n8n-nodes-base.microsoftExcel",
      "position": [
        -860,
        -540
      ],
      "parameters": {
        "options": {},
        "resource": "worksheet",
        "workbook": {
          "__rl": true,
          "mode": "id",
          "value": "="
        },
        "operation": "readRows",
        "worksheet": {
          "__rl": true,
          "mode": "id",
          "value": "="
        }
      },
      "credentials": {
        "microsoftExcelOAuth2Api": {
          "id": "56tIUYYVARBe9gfX",
          "name": "Microsoft Excel account"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "e93aa8de-5c68-4a01-ae60-beb141e0a430",
      "name": "Get Unique Categories",
      "type": "n8n-nodes-base.set",
      "position": [
        -400,
        -160
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "fe138128-50d5-469f-8c0b-0af8c873f198",
              "name": "categories",
              "type": "array",
              "value": "={{ $input.all().flatMap(item => item.json.categories).unique() }}"
            }
          ]
        }
      },
      "executeOnce": true,
      "typeVersion": 3.4
    },
    {
      "id": "a874ae4e-d67e-4019-9e5c-03ea677468ae",
      "name": "OpenAI 채팅 모델",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        760,
        80
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "8gccIjcuf3gvaoEr",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "bc9c7578-3b6f-45fb-9f93-94637774d125",
      "name": "집계",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        1180,
        40
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData"
      },
      "typeVersion": 1
    },
    {
      "id": "ae83c9e2-a267-463c-a606-b4d101f93f92",
      "name": "Collect Fields",
      "type": "n8n-nodes-base.set",
      "position": [
        980,
        -60
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "4a266505-4b88-41cf-bf22-f38c705c27e5",
              "name": "workflow_id",
              "type": "number",
              "value": "={{ $('Workflows to Items').item.json.workflow.id }}"
            },
            {
              "id": "df3348e2-b6ec-4c38-a146-c38be9b830bc",
              "name": "workflow_name",
              "type": "string",
              "value": "={{ $('Workflows to Items').item.json.workflow.name }}"
            },
            {
              "id": "b4646059-748f-407a-b829-d6605d5ab683",
              "name": "workflow_desc",
              "type": "string",
              "value": "={{ $json.response.text }}"
            },
            {
              "id": "eac0d9ab-9445-4bc2-9e64-160fe44b9ace",
              "name": "workflow_created_at",
              "type": "string",
              "value": "={{ $('Workflows to Items').item.json.workflow.createdAt }}"
            },
            {
              "id": "24a3c0cb-224c-4ce6-b59e-38b10ab2c02f",
              "name": "author_id",
              "type": "number",
              "value": "={{ $('Workflows to Items').item.json.workflow.user.id }}"
            },
            {
              "id": "a2b8a52f-be72-484c-aa86-582b73be1859",
              "name": "author_name",
              "type": "string",
              "value": "={{ $('Workflows to Items').item.json.workflow.user.name }}"
            },
            {
              "id": "ae735511-8c7c-4bef-b6ac-cfe3d4b87b4f",
              "name": "author_username",
              "type": "string",
              "value": "={{ $('Workflows to Items').item.json.workflow.user.username }}"
            },
            {
              "id": "2dc1f59f-a854-4322-85df-c5998f782dcd",
              "name": "category",
              "type": "string",
              "value": "={{ $('For Each Category').item.json.category }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "8ca1ea7e-9098-4e82-919b-ba98ae7d7574",
      "name": "Categories to Items",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        -220,
        -160
      ],
      "parameters": {
        "options": {
          "destinationFieldName": "category"
        },
        "fieldToSplitOut": "categories"
      },
      "typeVersion": 1
    },
    {
      "id": "eb6d74b8-f1ed-4ab2-8c5f-7e6c6361b055",
      "name": "For Each Category",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        320,
        -160
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "8640ffac-9df6-4154-bcd5-dfa90c3843d4",
      "name": "Workflows to Items",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        500,
        -60
      ],
      "parameters": {
        "options": {
          "destinationFieldName": "workflow"
        },
        "fieldToSplitOut": "workflows"
      },
      "typeVersion": 1
    },
    {
      "id": "4456a43b-df26-4bb8-a62d-b9f05eff4479",
      "name": "Workflow 요약r",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        660,
        -60
      ],
      "parameters": {
        "text": "=## Description\n```\n{{ $json.workflow.description.replaceAll('#', '') }}\n```",
        "messages": {
          "messageValues": [
            {
              "message": "=You have received a description of a n8n template from the official template gallery. Your task is to summarize the description into one or two sentences. The summary should loosely follow the structure of:\n* identify the goal of the template\n* describe the method or approached implemented\n* highlight which important n8n nodes were used\n\neg. \"Obtain real-time crypto market insights using an AI-powered workflow with CoinMarketCap APIs through Telegram\""
            }
          ]
        },
        "promptType": "define"
      },
      "typeVersion": 1.5
    },
    {
      "id": "5f4a5921-c954-4523-8925-90401d8dbf22",
      "name": "병합",
      "type": "n8n-nodes-base.merge",
      "position": [
        660,
        -460
      ],
      "parameters": {
        "mode": "chooseBranch"
      },
      "typeVersion": 3.1
    },
    {
      "id": "f95fb28c-875c-4105-aa83-9fea257ea440",
      "name": "Fetch Latest 10 per Category",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -40,
        -160
      ],
      "parameters": {
        "url": "=https://n8n.io/api/product-api/workflows/search",
        "options": {},
        "sendQuery": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "category",
              "value": "={{$json.category }}"
            },
            {
              "name": "rows",
              "value": "10"
            },
            {
              "name": "sort",
              "value": "createdAt:desc"
            },
            {
              "name": "page",
              "value": "1"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "4dda6cbc-e53f-452d-b257-df9ef18abd75",
      "name": "작업 없음, do nothing",
      "type": "n8n-nodes-base.noOp",
      "position": [
        1560,
        -460
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "881337d8-3ca8-43d2-931f-9cfec16cc367",
      "name": "Get Relevant Workflows",
      "type": "n8n-nodes-base.set",
      "position": [
        1380,
        -280
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "fbd0ad94-e5aa-4082-81f5-d7b2e08dfbcf",
              "name": "workflows",
              "type": "array",
              "value": "={{\n$json.categories\n  .flatMap(cat =>\n    $('Flatten Workflows').first().json.workflows.filter(item => item.category === cat)\n  )\n}}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "b3ad0e26-e495-4dae-bfdd-f65961178acc",
      "name": "Flatten Workflows",
      "type": "n8n-nodes-base.set",
      "position": [
        500,
        -280
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "17a82dd9-3fcf-44d9-b5da-bf89a1f53d59",
              "name": "workflows",
              "type": "array",
              "value": "={{\n$input.all().flatMap(item => item.json.data)\n}}"
            }
          ]
        }
      },
      "executeOnce": true,
      "typeVersion": 3.4
    },
    {
      "id": "05f72731-f8b0-4d8f-ba78-66ef8fbaf059",
      "name": "Remove Already Seen",
      "type": "n8n-nodes-base.removeDuplicates",
      "position": [
        1740,
        -280
      ],
      "parameters": {
        "options": {},
        "operation": "removeItemsSeenInPreviousExecutions",
        "dedupeValue": "={{ $('For Each Subscriber').item.json.name.toSnakeCase() }}_{{ $json.workflow_id }}"
      },
      "typeVersion": 2
    },
    {
      "id": "3904d2a2-9a95-4e11-883e-b2e88c6a884f",
      "name": "Workflow to Items",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        1560,
        -280
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "workflows"
      },
      "typeVersion": 1
    },
    {
      "id": "d416dee7-df0f-4579-a25f-6baed16453e8",
      "name": "Combine Workflows",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        1920,
        -280
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData"
      },
      "typeVersion": 1
    },
    {
      "id": "3797dd21-3144-47e8-9359-841b97073001",
      "name": "Has New Workflows?",
      "type": "n8n-nodes-base.if",
      "position": [
        1380,
        -600
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "08403b2a-4ae6-4cf5-aa88-cc49441e3c56",
              "operator": {
                "type": "array",
                "operation": "lengthGt",
                "rightType": "number"
              },
              "leftValue": "={{ $json.data }}",
              "rightValue": 0
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "0cd6ce35-c083-4db6-bc87-9d21e70a3bab",
      "name": "With User Reference",
      "type": "n8n-nodes-base.set",
      "position": [
        2100,
        -280
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "d69921eb-b518-4614-af63-e67a521ee373",
              "name": "name",
              "type": "string",
              "value": "={{ $('For Each Subscriber').item.json.name }}"
            },
            {
              "id": "01ee6e0a-9d03-42f6-ad46-68b9df861679",
              "name": "email",
              "type": "string",
              "value": "={{ $('For Each Subscriber').item.json.email }}"
            },
            {
              "id": "5263e512-1b24-43c8-9033-6547dab2811b",
              "name": "categories",
              "type": "array",
              "value": "={{ $('For Each Subscriber').item.json.categories }}"
            }
          ]
        },
        "includeOtherFields": true
      },
      "typeVersion": 3.4
    },
    {
      "id": "b3a616c7-615f-49ff-8e6f-530324a98be4",
      "name": "Generate HTML Template",
      "type": "n8n-nodes-base.html",
      "position": [
        1740,
        -720
      ],
      "parameters": {
        "html": "<h1>New Workflows for {{ $now.format('DD') }}</h1>\n{{\n$json.categories\n  .filter(cat =>\n    $json.data.filter(item => item.category === cat).length > 0\n  )\n  .map(category => `\n    <h2>${category.toSentenceCase()}</h2>\n    <ul>\n    ${$json.data\n      .filter(workflow => workflow.category === category)\n      .map(workflow => `\n      <li>\n        <a href=\"https://n8n.io/workflows/${workflow.workflow_id}\">\n          <h3>${workflow.workflow_name}</h3>\n        </a>\n        <p>\n          by\n          <a href=\"https://n8n.io/creators/${workflow.author_username}\">\n            ${workflow.author_name}\n          </a>\n          &middot;\n          created on ${DateTime.fromISO(workflow.workflow_created_at).toFormat('DD')}\n        </p>\n        <p>${workflow.workflow_desc}</p>\n      </li>\n    `).join('\\n')}\n    </ul>\n  `)\n  .join('\\n')\n}}"
      },
      "typeVersion": 1.2
    },
    {
      "id": "0c9865c7-9352-4fda-a943-34c8f524de6c",
      "name": "Parse Rows",
      "type": "n8n-nodes-base.set",
      "position": [
        -660,
        -540
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "d89dfc07-3c1f-4fbc-9a52-3748797a4840",
              "name": "name",
              "type": "string",
              "value": "={{ $json.name }}"
            },
            {
              "id": "c622ceca-2e6d-4bab-bb08-235f704c7e2f",
              "name": "email",
              "type": "string",
              "value": "={{ $json.email }}"
            },
            {
              "id": "9fca8e33-330a-4e4d-b461-251cd7e5c620",
              "name": "categories",
              "type": "array",
              "value": "={{ $json.categories.split(',') }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "f5fbd7f2-65e5-4dd7-8e43-38a8a99e3321",
      "name": "Send Daily Digest",
      "type": "n8n-nodes-base.microsoftOutlook",
      "position": [
        1920,
        -720
      ],
      "webhookId": "8cd83f97-1e5f-4280-9a9d-26d1ee05c45e",
      "parameters": {
        "subject": "=New Workflows for {{ $now.format('DD') }}",
        "bodyContent": "={{\n$json.html\n  .replaceAll('\\n', '')\n  .replaceAll('  ', '')\n  .trim()\n}}",
        "toRecipients": "={{ $('Has New Workflows?').item.json.email }}",
        "additionalFields": {
          "from": "=no-reply <no-reply@example.com>",
          "replyTo": "=no-reply <no-reply@example.com>",
          "bodyContentType": "html"
        }
      },
      "credentials": {
        "microsoftOutlookOAuth2Api": {
          "id": "EWg6sbhPKcM5y3Mr",
          "name": "Microsoft Outlook account"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "e81ba3a0-e3f6-4231-8870-8ef03edf41e1",
      "name": "Append Category",
      "type": "n8n-nodes-base.set",
      "position": [
        140,
        -160
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "b965dee8-f3b5-419b-b39a-79bf2b7d04c1",
              "name": "category",
              "type": "string",
              "value": "={{ $('Categories to Items').item.json.category }}"
            }
          ]
        },
        "includeOtherFields": true
      },
      "typeVersion": 3.4
    },
    {
      "id": "e1c2c743-a560-47e8-b906-a2e8fd17622f",
      "name": "메모",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1060,
        -740
      ],
      "parameters": {
        "color": 7,
        "width": 440,
        "content": "## 1. Get Subscribers from Excel\n[Learn more about the Excel node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.microsoftexcel)\n\nExcel can be an easy way to store a simple list of subscribers who will receive our daily digest. We can also specify only the categories they are interested in."
      },
      "typeVersion": 1
    },
    {
      "id": "e10a23be-2af7-4b92-9b5f-df855e6ee349",
      "name": "메모1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -400,
        -420
      ],
      "parameters": {
        "color": 7,
        "width": 620,
        "height": 220,
        "content": "## 2. Fetch Latest Templates from n8n\n[Learn more about the HTTP Request node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest)\n\nUsing the HTTP request node, we can call the n8n.io template search API to the latest published templates. However, to save on resources, we only want to fetch from categories relevant to our subscribers. To do so:\n1) We only want to fetch latest templates from unique categories amongst all subscribers\n2) Do this fetching once to later reference for all subscribers"
      },
      "typeVersion": 1
    },
    {
      "id": "0ee0b2ca-0247-4471-a6f5-920fd8e67f96",
      "name": "메모2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        500,
        260
      ],
      "parameters": {
        "color": 7,
        "width": 580,
        "height": 180,
        "content": "## 3. Generate AI Summary For Each Template\n[Read more about the Basic LLM node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm)\n\nWhen building our email digest, we'd rather have a shortened and summarized version of each template's description for easier scanning and reading. We can use AI to accomplish this and merge it with the template object."
      },
      "typeVersion": 1
    },
    {
      "id": "ab234694-2878-440b-aeb5-37573ebe517e",
      "name": "메모3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1680,
        -60
      ],
      "parameters": {
        "color": 7,
        "width": 580,
        "height": 200,
        "content": "## 4. Filter Relevant Templates for Subscriber\n[Read more about the Split Out node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.splitout)\n\nFor each subscriber, we want to filter out our freshly collected n8n.io templates by the categories relevant to the subscriber as defined in the Excel sheet. A \"Remove duplicates\" node can be used to keep track of duplicate templates - as templates can have more than one category and appear twice!"
      },
      "typeVersion": 1
    },
    {
      "id": "460a8b3d-c125-41c3-95c5-afdfe63c7561",
      "name": "메모4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1740,
        -960
      ],
      "parameters": {
        "color": 7,
        "width": 580,
        "height": 200,
        "content": "## 5. Generate Daily Digest and Send Via Outlook\n[Read more about the Outlook node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.microsoftoutlook)\n\nFinally, we can construct our digest's content using the HTML node and customise it by subscriber as necessary. The Outlook node is then used to send the digest to the subscriber."
      },
      "typeVersion": 1
    },
    {
      "id": "c79a2775-6276-41df-a9f0-64017e88a8c7",
      "name": "메모5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -500,
        0
      ],
      "parameters": {
        "color": 5,
        "width": 200,
        "height": 120,
        "content": "### Execute Once\nThis node has been set to execute once rather than for each subscriber."
      },
      "typeVersion": 1
    },
    {
      "id": "5290822e-b63b-4b73-8511-6a12e2387656",
      "name": "메모6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -940,
        -360
      ],
      "parameters": {
        "color": 5,
        "width": 280,
        "height": 120,
        "content": "### Columns\n- name *(text)*\n- email *(text)*\n- categories *(text, comma-delimited)*"
      },
      "typeVersion": 1
    },
    {
      "id": "56acbd11-7fa5-44b8-b031-fcdeb6e44839",
      "name": "For Each Subscriber",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        1180,
        -460
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "6aef7efc-1bc7-4a1d-b0cb-459484b3d179",
      "name": "메모7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1600,
        -1400
      ],
      "parameters": {
        "width": 500,
        "height": 1000,
        "content": "## Try It Out!\n### This n8n template builds a newsletter (\"daily digest\") delivery service which pulls and summarises the latest n8n.io template in select categories defined by subscribers.\n\nIt's scheduled to run once a day and sends the newsletter directly to subscriber via a nicely formatted email. If you've had trouble keeping up with the latest and greatest templates beign published daily, this workflow can save you a lot of time!\n\n### How it works\n* A scheduled trigger pulls a list of subscribers (email and category preferences) from an Excel workbook.\n* We work out unique categories amongst all subscribers and only fetch the latest n8n website templates from these categories to save on resources and optimise the number of API calls we make.\n* The fetched templates are summarised via AI to produce a short description which is more suitable for our email format.\n* For each subscriber, we filter and collect only the templates relevant to their category preferences (as defined in the Excel) and ensure that duplicate templates or those which have been \"seen before\" are omitted.\n* A HTML node is then used to generate the email newsletter. HTML emails are the perfect format since we can add links back to the template.\n* Finally, we use the Outlook node to send the email digest to the subscriber.\n\n### How to use\n* Populate your Excel sheet with 3 columns: name, email and categories. Categories is a comma-delimited list of categories which match the n8n template website. The available categories are AI, SecOps, Sales, IT Ops, Marketing, Engineering, DevOps, Building Blocks, Design, Finance, HR, Other, Product and Support.\n* To subscribe a new user, simply add their email to the Excel sheet with at least one category.\n* To unsubscribe a user, remove them from the sheet.\n* If you're not interested in paid templates, you may want to filter them out after fetching them.\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!"
      },
      "typeVersion": 1
    }
  ],
  "pinData": {},
  "connections": {
    "Merge": {
      "main": [
        [
          {
            "node": "56acbd11-7fa5-44b8-b031-fcdeb6e44839",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Aggregate": {
      "main": [
        [
          {
            "node": "eb6d74b8-f1ed-4ab2-8c5f-7e6c6361b055",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "0c9865c7-9352-4fda-a943-34c8f524de6c": {
      "main": [
        [
          {
            "node": "e93aa8de-5c68-4a01-ae60-beb141e0a430",
            "type": "main",
            "index": 0
          },
          {
            "node": "Merge",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "ae83c9e2-a267-463c-a606-b4d101f93f92": {
      "main": [
        [
          {
            "node": "Aggregate",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "e81ba3a0-e3f6-4231-8870-8ef03edf41e1": {
      "main": [
        [
          {
            "node": "eb6d74b8-f1ed-4ab2-8c5f-7e6c6361b055",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "f63d035c-5a7b-4cf4-8730-5fa7dff6f94b": {
      "main": [
        [
          {
            "node": "0c9865c7-9352-4fda-a943-34c8f524de6c",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Schedule Trigger": {
      "main": [
        [
          {
            "node": "f63d035c-5a7b-4cf4-8730-5fa7dff6f94b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "d416dee7-df0f-4579-a25f-6baed16453e8": {
      "main": [
        [
          {
            "node": "0cd6ce35-c083-4db6-bc87-9d21e70a3bab",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "b3ad0e26-e495-4dae-bfdd-f65961178acc": {
      "main": [
        [
          {
            "node": "Merge",
            "type": "main",
            "index": 1
          }
        ]
      ]
    },
    "eb6d74b8-f1ed-4ab2-8c5f-7e6c6361b055": {
      "main": [
        [
          {
            "node": "b3ad0e26-e495-4dae-bfdd-f65961178acc",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "8640ffac-9df6-4154-bcd5-dfa90c3843d4",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Workflow Summarizer",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "3904d2a2-9a95-4e11-883e-b2e88c6a884f": {
      "main": [
        [
          {
            "node": "05f72731-f8b0-4d8f-ba78-66ef8fbaf059",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "3797dd21-3144-47e8-9359-841b97073001": {
      "main": [
        [
          {
            "node": "b3a616c7-615f-49ff-8e6f-530324a98be4",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "No Operation, do nothing",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "8640ffac-9df6-4154-bcd5-dfa90c3843d4": {
      "main": [
        [
          {
            "node": "Workflow Summarizer",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "8ca1ea7e-9098-4e82-919b-ba98ae7d7574": {
      "main": [
        [
          {
            "node": "f95fb28c-875c-4105-aa83-9fea257ea440",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "56acbd11-7fa5-44b8-b031-fcdeb6e44839": {
      "main": [
        [
          {
            "node": "3797dd21-3144-47e8-9359-841b97073001",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "881337d8-3ca8-43d2-931f-9cfec16cc367",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "05f72731-f8b0-4d8f-ba78-66ef8fbaf059": {
      "main": [
        [
          {
            "node": "d416dee7-df0f-4579-a25f-6baed16453e8",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "0cd6ce35-c083-4db6-bc87-9d21e70a3bab": {
      "main": [
        [
          {
            "node": "56acbd11-7fa5-44b8-b031-fcdeb6e44839",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Workflow Summarizer": {
      "main": [
        [
          {
            "node": "ae83c9e2-a267-463c-a606-b4d101f93f92",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "e93aa8de-5c68-4a01-ae60-beb141e0a430": {
      "main": [
        [
          {
            "node": "8ca1ea7e-9098-4e82-919b-ba98ae7d7574",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "b3a616c7-615f-49ff-8e6f-530324a98be4": {
      "main": [
        [
          {
            "node": "f5fbd7f2-65e5-4dd7-8e43-38a8a99e3321",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "881337d8-3ca8-43d2-931f-9cfec16cc367": {
      "main": [
        [
          {
            "node": "3904d2a2-9a95-4e11-883e-b2e88c6a884f",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "f95fb28c-875c-4105-aa83-9fea257ea440": {
      "main": [
        [
          {
            "node": "e81ba3a0-e3f6-4231-8870-8ef03edf41e1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
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 - 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 수33
카테고리2
노드 유형16
난이도 설명

고급 사용자를 위한 16+개 노드의 복잡한 워크플로우

저자
Jimleuk

Jimleuk

@jimleuk

Freelance consultant based in the UK specialising in AI-powered automations. I work with select clients tackling their most challenging projects. For business enquiries, send me an email at hello@jimle.uk LinkedIn: https://www.linkedin.com/in/jimleuk/ X/Twitter: https://x.com/jimle_uk

외부 링크
n8n.io에서 보기

이 워크플로우 공유

카테고리

카테고리: 34