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콘텐츠 리서치 엔진

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이것은AI Summarization, Multimodal AI분야의자동화 워크플로우로, 14개의 노드를 포함합니다.주로 Set, Merge, Reddit, GoogleSheets, Agent 등의 노드를 사용하며. Reddit 크롤링, AI 분석 및 Google Sheets를 통한 콘텐츠 리서치 자동화

사전 요구사항
  • Google Sheets API 인증 정보
  • 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": "VzbX3arUtQZaRd9e",
  "meta": {
    "instanceId": "00761fd5aea81495387b0889e15912dcc912b73b7bf62f5ca3898afbd7a79723",
    "templateCredsSetupCompleted": true
  },
  "name": "Content Research Engine",
  "tags": [
    {
      "id": "j0SNhalFSbPAhdWo",
      "name": "n8n creator",
      "createdAt": "2025-09-02T01:40:23.866Z",
      "updatedAt": "2025-09-02T01:40:23.866Z"
    }
  ],
  "nodes": [
    {
      "id": "7cd98b8f-2b80-4f54-8ea1-b633810c5aec",
      "name": "스케줄 트리거1",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        -272,
        496
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "triggerAtHour": 7
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "4771abaa-5a07-426f-acb2-7163eb7b2313",
      "name": "r/smallbusiness/automation",
      "type": "n8n-nodes-base.reddit",
      "position": [
        0,
        496
      ],
      "parameters": {
        "limit": 2,
        "keyword": "Scaling Leads",
        "operation": "search",
        "subreddit": "startups",
        "additionalFields": {
          "sort": "new"
        }
      },
      "credentials": {
        "redditOAuth2Api": {
          "id": "PD9bs67DcqBKv2ZH",
          "name": "Reddit account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "69503a42-99b4-423e-ae63-1fea9aa1e7f0",
      "name": "r/smallbusiness/AI Automation",
      "type": "n8n-nodes-base.reddit",
      "position": [
        0,
        320
      ],
      "parameters": {
        "limit": 2,
        "keyword": "Lead Generation",
        "operation": "search",
        "subreddit": "marketing",
        "additionalFields": {
          "sort": "new"
        }
      },
      "credentials": {
        "redditOAuth2Api": {
          "id": "PD9bs67DcqBKv2ZH",
          "name": "Reddit account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "902e6dfc-537f-44f1-a9ab-18bc24cb2ea0",
      "name": "병합",
      "type": "n8n-nodes-base.merge",
      "position": [
        272,
        480
      ],
      "parameters": {
        "numberInputs": 3
      },
      "typeVersion": 3.1
    },
    {
      "id": "534d380c-1f70-4962-a54d-006499dc39f8",
      "name": "r/smallbusiness/automation1",
      "type": "n8n-nodes-base.reddit",
      "position": [
        0,
        688
      ],
      "parameters": {
        "limit": 2,
        "keyword": "Business Automation",
        "operation": "search",
        "subreddit": "smallbusiness",
        "additionalFields": {
          "sort": "new"
        }
      },
      "credentials": {
        "redditOAuth2Api": {
          "id": "PD9bs67DcqBKv2ZH",
          "name": "Reddit account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "78e0dc48-d2a9-4c1f-a8af-8a81f03bcdc8",
      "name": "필드 편집",
      "type": "n8n-nodes-base.set",
      "position": [
        480,
        496
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "a89f1ca3-3c1d-4c6b-933f-04dc38c2e568",
              "name": "subreddit",
              "type": "string",
              "value": "={{ $json.subreddit }}"
            },
            {
              "id": "795929f6-fb60-4e31-9a4f-2332ccfa1d8f",
              "name": "text",
              "type": "string",
              "value": "={{ $json.selftext }}"
            },
            {
              "id": "3b25b1b0-e861-4c8b-89fa-9ff625d1e37b",
              "name": "title",
              "type": "string",
              "value": "={{ $json.title }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "8ccbd0a2-aea8-4195-86c0-3aa5210d1081",
      "name": "AI 에이전트",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        688,
        496
      ],
      "parameters": {
        "text": "=Subreddit:  {{ $json.subreddit }}\nText: {{ $json.text }}\nTitle: {{ $json.title }}",
        "options": {
          "systemMessage": "You are a content research analyst AI trained to study raw Reddit posts and extract structured insights for marketing, lead generation, and business automation research.\n\nYour role is to transform messy, conversational Reddit text into short, business-ready insights that can be stored in a database and later used for content creation, strategy, or trend analysis.\n\nWhen analyzing a Reddit post (title + body):\n\t1.\tSummarize the post clearly and concisely.\n\t•\tUse neutral, plain English.\n\t•\tOne sentence, ≤20 words.\n\t•\tNo filler, no speculation beyond what is written.\n\t2.\tIdentify the core pain point.\n\t•\tExpress it in ≤15 words.\n\t•\tUse the poster’s perspective (“Can’t find…”, “Struggling with…”, “Wants to know…”).\n\t•\tBoil it down to the single biggest problem they are expressing.\n\t3.\tGenerate 2–3 actionable content angles.\n\t•\tEach ≤10 words.\n\t•\tFrame them as potential articles, guides, or content pieces someone could create.\n\t•\tThey should answer or address the pain point.\n\t•\tKeep them concrete and practical (e.g. “Best tools for automating client onboarding” vs “Automation thoughts”).\n\t4.\tOutput must be valid JSON only.\n\t•\tNo extra commentary, no markdown, no explanations.\n\t•\tFormat must exactly match the schema below."
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 2.2
    },
    {
      "id": "e1e69d68-af98-4089-965d-b814f0a9db10",
      "name": "OpenAI 채팅 모델2",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        672,
        848
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "QsPyEUltWeliSiFb",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "1ce1add4-4b05-4f55-a11e-210773d39b13",
      "name": "구조화된 출력 파서",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        816,
        704
      ],
      "parameters": {
        "autoFix": true,
        "jsonSchemaExample": "{\n  \"summary\": \"<1 sentence, ≤20 words, neutral overview of what the post is about>\",\n  \"pain_point\": \"<1 short sentence, ≤15 words, the core problem the poster is facing>\",\n  \"content_angle\": [\n    \"<idea 1: ≤10 words, actionable topic framing for content/insight>\",\n    \"<idea 2: ≤10 words, actionable topic framing>\",\n    \"<idea 3: ≤10 words, optional>\"\n  ]\n}"
      },
      "typeVersion": 1.3
    },
    {
      "id": "4d7a85e6-43ad-49c2-b975-987cc3c424fd",
      "name": "시트에 행 추가",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        1120,
        496
      ],
      "parameters": {
        "columns": {
          "value": {
            "Summary": "={{ $json.output.summary }}",
            "Pain Point": "={{ $json.output.pain_point }}",
            "Content Angle": "={{ $json.output.content_angle }}"
          },
          "schema": [
            {
              "id": "Summary",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Summary",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Pain Point",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Pain Point",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Content Angle",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Content Angle",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {
          "useAppend": true
        },
        "operation": "append",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1vmLGPnlCVdSU5_3IpYVEUzhTGvUn0p6u2v_RZo7ULmk/edit#gid=0",
          "cachedResultName": "Sheet1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1vmLGPnlCVdSU5_3IpYVEUzhTGvUn0p6u2v_RZo7ULmk",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1vmLGPnlCVdSU5_3IpYVEUzhTGvUn0p6u2v_RZo7ULmk/edit?usp=drivesdk",
          "cachedResultName": "Reddit "
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "6UWtW8DQlbmfYbkk",
          "name": "Google Sheets account"
        }
      },
      "typeVersion": 4.7
    },
    {
      "id": "1be411b7-51a2-4432-b250-082792e7db39",
      "name": "스티키 노트",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1216,
        48
      ],
      "parameters": {
        "width": 768,
        "height": 912,
        "content": "\n\n\n# Setting up the workflow\n\n## 1. Select a schedule trigger time.  \n\n## 2. Connect your reddit account to n8n. Choose the subreddit's you want to scrape, with the key words you are looking for. Note: You can add more reddit nodes, and expanding the merge node. \n\n## 3. Connect your preferred LLM credentials to the AI Agent\n\n## 4. Create a copy of the Google Sheet, and connect it to the google sheet node.  \n## Google Sheet: https://docs.google.com/spreadsheets/d/1vmLGPnlCVdSU5_3IpYVEUzhTGvUn0p6u2v_RZo7ULmk/edit?usp=sharing (Make a copy)\n\n\n\n\n\n## Workflow Summary: This workflow automatically scrapes new Reddit posts from your chosen subreddits and keywords, analyzes them with AI to extract summaries, pain points, and content angles, and then saves the insights into a Google Sheet. It’s a fully automated Content Research Engine that delivers fresh marketing ideas and community pain points straight into your database."
      },
      "typeVersion": 1
    },
    {
      "id": "29dbe4f2-f5a4-48ab-9ede-34ec60479546",
      "name": "스티키 노트1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -32,
        16
      ],
      "parameters": {
        "width": 160,
        "height": 848,
        "content": "## Select the Subreddit and the keywords you would like to scrape"
      },
      "typeVersion": 1
    },
    {
      "id": "4da89c31-46c0-40ae-99e4-393b324b9a77",
      "name": "스티키 노트2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        672,
        304
      ],
      "parameters": {
        "width": 272,
        "height": 352,
        "content": "## AI Agent will go through the items to find the pain point and content angle"
      },
      "typeVersion": 1
    },
    {
      "id": "b9715a73-0155-4c44-afc2-946ba93df79a",
      "name": "스티키 노트3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1072,
        304
      ],
      "parameters": {
        "width": 192,
        "height": 352,
        "content": "## Data is stored in google sheet. \nWhenever you need content idea, you’ll find a list with great ideas inside"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "f3def437-7e43-43ca-9797-d3fb7fa52911",
  "connections": {
    "902e6dfc-537f-44f1-a9ab-18bc24cb2ea0": {
      "main": [
        [
          {
            "node": "78e0dc48-d2a9-4c1f-a8af-8a81f03bcdc8",
            "type": "main",
            "index": 0
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    },
    "8ccbd0a2-aea8-4195-86c0-3aa5210d1081": {
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    },
    "78e0dc48-d2a9-4c1f-a8af-8a81f03bcdc8": {
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    },
    "7cd98b8f-2b80-4f54-8ea1-b633810c5aec": {
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    },
    "e1e69d68-af98-4089-965d-b814f0a9db10": {
      "ai_languageModel": [
        [
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            "node": "8ccbd0a2-aea8-4195-86c0-3aa5210d1081",
            "type": "ai_languageModel",
            "index": 0
          },
          {
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            "type": "ai_languageModel",
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    "1ce1add4-4b05-4f55-a11e-210773d39b13": {
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            "type": "ai_outputParser",
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    "4771abaa-5a07-426f-acb2-7163eb7b2313": {
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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?

중급 - AI 요약, 멀티모달 AI

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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노드 수14
카테고리2
노드 유형9
난이도 설명

일정 경험을 가진 사용자를 위한 6-15개 노드의 중간 복잡도 워크플로우

저자
Michael Taleb

Michael Taleb

@michaeltaleb

n8n developer helping businesses save time and scale by automating complex business processes with n8n and smart integrations.

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카테고리

카테고리: 34