8
n8n 한국어amn8n.com

Arunava의 다중 에이전트 지능형 Reddit 자동화

고급

이것은Social Media, Multimodal AI분야의자동화 워크플로우로, 35개의 노드를 포함합니다.주로 If, Set, Code, Wait, Reddit 등의 노드를 사용하며. AI 브랜드 언급 및 Baserow 추적으로 Reddit 게시물 자동 댓글 작성

사전 요구사항
  • 대상 API의 인증 정보가 필요할 수 있음
  • Anthropic 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": "tMStkA8LDIhkaCcF",
  "meta": {
    "instanceId": "f72cde31dbc45f25c4862cabd0d3f8e8f469ec75575f9316329a5ee265ad866e",
    "templateCredsSetupCompleted": true
  },
  "name": "Multi-agent Intelligent Reddit Automation by Arunava",
  "tags": [
    {
      "id": "DDbFuPgB9dn2WGr3",
      "name": "Reddit",
      "createdAt": "2025-08-10T11:38:34.764Z",
      "updatedAt": "2025-08-10T11:38:34.764Z"
    },
    {
      "id": "g7moK2McYEReOutq",
      "name": "GEO",
      "createdAt": "2025-08-16T09:26:24.096Z",
      "updatedAt": "2025-08-16T09:26:24.096Z"
    }
  ],
  "nodes": [
    {
      "id": "0a3f4382-7dae-4199-87ad-a0048c8359c6",
      "name": "스케줄 트리거",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        -16,
        16
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "hours",
              "hoursInterval": 12
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "042435f1-9561-4b6b-85cc-032ca94324f0",
      "name": "게시물 검색",
      "type": "n8n-nodes-base.reddit",
      "position": [
        240,
        16
      ],
      "parameters": {
        "limit": 25,
        "keyword": "{your keyword here}",
        "location": "allReddit",
        "operation": "search",
        "additionalFields": {
          "sort": "new"
        }
      },
      "credentials": {
        "redditOAuth2Api": {
          "id": "FbATabVyPwbmtHgg",
          "name": "Reddit account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "5576d6c4-eac2-4655-b2cb-264305a798ad",
      "name": "AI 에이전트",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "onError": "continueRegularOutput",
      "position": [
        1808,
        16
      ],
      "parameters": {
        "text": "=You are an intelligent post analysis agent helping a brand discover conversations around AI-based design tools.\n\nYou will be given a social media post (e.g., Reddit, Threads, X) and your job is to analyze whether it is relevant for us to engage in a reply.\n\n🔍 You must check if the post is:\n1. Asking for recommendations for an AI design tool.\n2. Expressing pain, frustration, or dissatisfaction with their current design tool or workflow.\n3. Sharing a personal use case, problem, or requirement around AI-assisted or generative design (images, UI/UX, ad creatives, mockups, branding etc).\n\n📌 Ignore posts that:\n- Are general news or announcements with no personal pain point or query.\n- Are about completely unrelated fields (AI music, coding tools, crypto, etc).\n\n🧾 Input Post:\n---\n{{ $('Loop Over Items').item.json.selftext }}\n\nOutput must be in json and must have:\n\n{\n  \"is_relevant\": \"true/false\",\n  \"reason\": \"Short explanation why you think it is or isn't relevant\",\n  \"relevance_type\": \"tool_request | frustration | use_case | not_relevant\",\n  \"title\": \"{{ $('Loop Over Items').item.json.title }}\",\n  \"selftext\": \"{{ $('Loop Over Items').item.json.selftext }}\",\n  \"subreddit\": \"{{ $('Loop Over Items').item.json.subreddit }}\",\n  \"postid\": \"{{ $('Loop Over Items').item.json.name }}\"\n}",
        "options": {},
        "promptType": "define"
      },
      "typeVersion": 2
    },
    {
      "id": "8fef64ee-96ca-4a30-8342-66f9a9f9d929",
      "name": "Google Gemini 채팅 모델",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1792,
        256
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "googlePalmApi": {
          "id": "nFdyAhBTBIH3W2LS",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "8a0c0fc0-cfd7-47a3-8c54-31411e77c68b",
      "name": "구조화된 출력 파서",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        2112,
        256
      ],
      "parameters": {
        "jsonSchemaExample": "{\n  \"is_relevant\": \"true/false\",\n  \"reason\": \"Short explanation why you think it is or isn't relevant\",\n  \"relevance_type\": \"tool_request | frustration | use_case | not_relevant\",\n  \"title\": \"NST using an AI image for an article\",\n  \"selftext\": \"Personally I feel like a news organization should not be going anywhere near AI given what AI can be used for in generating fake\",\n  \"subreddit\": \"malaysia\",\n  \"postid\": \"t3_1mlrgyz\"\n}"
      },
      "typeVersion": 1.3
    },
    {
      "id": "0d6b0645-34c0-44b0-b056-e7708c35952b",
      "name": "항목 루프",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        512,
        16
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "5a3c7d24-b2ca-49a7-bbeb-0211078b2832",
      "name": "조건문",
      "type": "n8n-nodes-base.if",
      "position": [
        256,
        304
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "df1d3d2e-7acf-49b6-800a-067c8f00e325",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.output.is_relevant }}",
              "rightValue": "true"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "9c557675-1d51-429d-abe1-671e10f8b7c3",
      "name": "AI 에이전트1",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        544,
        304
      ],
      "parameters": {
        "text": "=You are a genuine Reddit user who cares about helping OP.\nWrite a concise, honest, non-promotional comment that directly solves the poster’s need.\n\nRules:\n\nSound like a real person. No “as an AI”, no hype, no emojis, no salesy tone.\n\nStart by acknowledging the ask in 1 short line.\n\nGive 1–2 specific, actionable suggestions or steps based on the post (not generic advice).\n\nIf and only if it’s clearly relevant to what OP is asking, softly mention {your.brand} as an option: say it’s free to try and the founder is very active on support. Do not push or overpromise. One short clause is enough.\n\nIf it’s not relevant or would violate subreddit norms, don’t mention it.\n\nNo DMs, emails, or link spam. Use the plain domain {your.domain} (no http).\n\nKeep it under 110 words. 3–5 short sentences max.\n\nBe respectful; invite follow-ups in-thread.\n\nOutput: plain text only (the final comment).\n\nUser (template – fill with n8n expressions)\nSubreddit: {{ $json.output.subreddit }}\nPost title: {{ $json.output.title }}\nself text: {{ $json.output.selftext }}\nSummary of the ask (from your analyzer): {{ $json.output.reason }}\n\nWrite the comment now.\n\nOptional soft-mention about a tool:\n“You could also try {your.brand} — free to start, and the founder is very responsive on support.”\n\n“If you need exactly that feature, {your.brand} might be worth a quick try; it’s free and the founder is super active in support threads.”\n\nInstructions:\n\nStart with the recommendation/answer immediately. Do not rephrase the title/body or add any opener.\n\nBanned openers & fillers: “AI image tools…”, “For X…”, “You can try…”, “solid option”, “totally get it”, “as an AI”, “hey”, “hope this helps”, “consider using”, “there are many”.\n\nLength: 2–4 sentences, ≤90 words, plain text (no bullets/markdown/emojis).\n\nActionability: include one concrete next step (what to click/try/change).\n\n{your.brand} mention (only if relevant): If the requested feature clearly matches, add one soft clause:\n“{your.brand} is free to try and the founder is very active on support.”\nUse the plain domain; no links, DMs, or email. If not relevant or against sub rules, don’t mention it.\n\nRespect subreddit norms. No sales tone.",
        "options": {},
        "promptType": "define"
      },
      "typeVersion": 2
    },
    {
      "id": "b2d82149-f64e-4d1d-9d64-a7130058f2d0",
      "name": "Google Gemini 채팅 모델1",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        544,
        528
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "googlePalmApi": {
          "id": "nFdyAhBTBIH3W2LS",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "1c24e125-87d3-4cac-a20b-287359e26986",
      "name": "단순 메모리",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        848,
        544
      ],
      "parameters": {
        "sessionKey": "rustic",
        "sessionIdType": "customKey"
      },
      "typeVersion": 1.3
    },
    {
      "id": "37c357e1-0e13-4537-b28c-6b655f797f9a",
      "name": "HTTP 요청",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1072,
        304
      ],
      "parameters": {
        "url": "https://oauth.reddit.com/api/comment",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "contentType": "form-urlencoded",
        "sendHeaders": true,
        "authentication": "genericCredentialType",
        "bodyParameters": {
          "parameters": [
            {
              "name": "api_type",
              "value": "json"
            },
            {
              "name": "thing_id",
              "value": "={{ $('If').item.json.output.postid }}"
            },
            {
              "name": "text",
              "value": "={{ $json.output || $json.reply || $json.text }}"
            }
          ]
        },
        "genericAuthType": "oAuth2Api",
        "headerParameters": {
          "parameters": [
            {
              "name": "User-Agent",
              "value": "n8n:reddit-autoreply:1.0 (by /u/{reddit-username})"
            }
          ]
        }
      },
      "credentials": {
        "oAuth2Api": {
          "id": "P0CrKMqafUlJb7iy",
          "name": "Unnamed credential"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "222787a5-bc2d-44ba-824c-66dabfdadd6b",
      "name": "대기",
      "type": "n8n-nodes-base.wait",
      "position": [
        1520,
        16
      ],
      "webhookId": "2c3ccf1f-2972-4bb8-9655-a7827deabdd8",
      "parameters": {
        "unit": "minutes"
      },
      "typeVersion": 1.1
    },
    {
      "id": "7db2aef6-1152-469a-bc32-5d915c73822f",
      "name": "스티키 노트",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -80,
        -80
      ],
      "parameters": {
        "color": 3,
        "width": 224,
        "height": 256,
        "content": "## Check for New Posts"
      },
      "typeVersion": 1
    },
    {
      "id": "8c4ae7d0-1ee0-4a22-85b0-d36dcdb9530f",
      "name": "스티키 노트1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        176,
        -80
      ],
      "parameters": {
        "height": 256,
        "content": "## Fetch Posts from Reddit"
      },
      "typeVersion": 1
    },
    {
      "id": "9a715e10-04bf-4575-8ddc-80eaa3e301a8",
      "name": "스티키 노트2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        448,
        -80
      ],
      "parameters": {
        "color": 6,
        "height": 256,
        "content": "## Split into Single Posts"
      },
      "typeVersion": 1
    },
    {
      "id": "facd9195-a1aa-4618-a33e-efaf2be0cf52",
      "name": "스티키 노트3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        720,
        -80
      ],
      "parameters": {
        "color": 4,
        "width": 432,
        "height": 256,
        "content": "## Check duplicate row in Baserow"
      },
      "typeVersion": 1
    },
    {
      "id": "418a4931-dbf9-4c4d-8fa9-6255d240f743",
      "name": "스티키 노트4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1184,
        -80
      ],
      "parameters": {
        "color": 3,
        "height": 256,
        "content": "## Filter Replied Posts"
      },
      "typeVersion": 1
    },
    {
      "id": "75be2c15-0fea-481d-8e63-7c870f22650f",
      "name": "스티키 노트5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1728,
        -80
      ],
      "parameters": {
        "color": 5,
        "width": 512,
        "height": 544,
        "content": "## Analyse Post Relevance & Sentiment"
      },
      "typeVersion": 1
    },
    {
      "id": "5ceb4549-6687-43ac-b4f3-36221a84dddb",
      "name": "스티키 노트6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -80,
        208
      ],
      "parameters": {
        "height": 256,
        "content": "## Structure Output"
      },
      "typeVersion": 1
    },
    {
      "id": "b5feaa38-8db8-4297-9340-2dc1d2447b16",
      "name": "스티키 노트7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        192,
        208
      ],
      "parameters": {
        "color": 3,
        "height": 256,
        "content": "## Filter Relevant Post"
      },
      "typeVersion": 1
    },
    {
      "id": "10426aa7-cb96-4091-8240-714bbbec6990",
      "name": "스티키 노트8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        464,
        208
      ],
      "parameters": {
        "color": 5,
        "width": 512,
        "height": 544,
        "content": "## Write Reddit Comment using AI"
      },
      "typeVersion": 1
    },
    {
      "id": "7d5cc545-e944-486b-b6d2-cf5121c45843",
      "name": "스티키 노트9",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1008,
        208
      ],
      "parameters": {
        "color": 4,
        "height": 256,
        "content": "## Post Reddit Comment"
      },
      "typeVersion": 1
    },
    {
      "id": "3a227d99-013d-4983-9e8d-f5f1b3094891",
      "name": "스티키 노트10",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1280,
        208
      ],
      "parameters": {
        "color": 6,
        "height": 256,
        "content": "## Structure Output"
      },
      "typeVersion": 1
    },
    {
      "id": "f961314a-20b5-45b8-acdc-31a5e0fe4440",
      "name": "Anthropic 채팅 모델",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "position": [
        1952,
        256
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "claude-sonnet-4-20250514",
          "cachedResultName": "Claude 4 Sonnet"
        },
        "options": {}
      },
      "credentials": {
        "anthropicApi": {
          "id": "Oo0qcgPZfQI0wJcD",
          "name": "Anthropic account"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "3804348d-1ad6-4473-80ed-9d19004d48d8",
      "name": "Anthropic 채팅 모델1",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "position": [
        704,
        528
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "claude-sonnet-4-20250514",
          "cachedResultName": "Claude 4 Sonnet"
        },
        "options": {}
      },
      "credentials": {
        "anthropicApi": {
          "id": "Oo0qcgPZfQI0wJcD",
          "name": "Anthropic account"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "de39d181-bf03-4f05-b467-1d055a734ed0",
      "name": "스티키 노트11",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1456,
        -80
      ],
      "parameters": {
        "height": 256,
        "content": "## Wait for 5mins"
      },
      "typeVersion": 1
    },
    {
      "id": "43739193-e6be-490c-b075-efdbf1c9139c",
      "name": "스티키 노트12",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1280,
        480
      ],
      "parameters": {
        "height": 256,
        "content": "## Wait for 6 hrs"
      },
      "typeVersion": 1
    },
    {
      "id": "9f862eb0-bdea-4dee-b568-7a7d412734aa",
      "name": "스티키 노트13",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1008,
        496
      ],
      "parameters": {
        "color": 6,
        "height": 256,
        "content": "## Store Comment Data on Baserow"
      },
      "typeVersion": 1
    },
    {
      "id": "da15d5d6-6c3b-4162-b157-9242b3c3f609",
      "name": "Baserow에서 중복 게시물 확인",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        784,
        16
      ],
      "parameters": {
        "url": "=https://api.baserow.io/api/database/rows/table/{table_id}/?user_field_names=true&filter__post_id__equal={{ $json.name }}&size=1",
        "options": {},
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "Token {token}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "4db24f06-eb53-480c-b667-b69180bb2dae",
      "name": "필터",
      "type": "n8n-nodes-base.code",
      "position": [
        992,
        16
      ],
      "parameters": {
        "jsCode": "const post = $items('Loop Over Items', 0, 0).json;   // current Reddit post\nconst res  = $json;                                   // HTTP response {count, results}\nreturn [{\n  json: {\n    ...post,\n    baserow_count: res.count || 0,\n    baserow_results: res.results || res.results?.results || [],\n  }\n}];\n"
      },
      "typeVersion": 2
    },
    {
      "id": "0ff2aebf-76e8-487c-b20a-35dfa8a942f0",
      "name": "답글 필터링",
      "type": "n8n-nodes-base.if",
      "position": [
        1248,
        16
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "88c84089-90f5-488e-b922-bdcb329772c5",
              "operator": {
                "type": "boolean",
                "operation": "true",
                "singleValue": true
              },
              "leftValue": "={{ ($json.baserow_count || 0) > 0 && ($json.baserow_results[0]?.status === true) }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "57565fe1-9804-4537-9396-9728494a9da6",
      "name": "구조 출력",
      "type": "n8n-nodes-base.set",
      "position": [
        -16,
        304
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "c6cfa8b4-3dc8-471c-b8b2-126f37a2ebfe",
              "name": "output.is_relevant",
              "type": "string",
              "value": "={{ $json.output.is_relevant }}"
            },
            {
              "id": "3de95d4b-f8ed-4a44-824d-145d8d568548",
              "name": "output.reason",
              "type": "string",
              "value": "={{ $json.output.reason }}"
            },
            {
              "id": "dcd0d57e-a1b7-44c3-a3d7-ca539243f19a",
              "name": "output.relevance_type",
              "type": "string",
              "value": "={{ $json.output.relevance_type }}"
            },
            {
              "id": "1bb011f7-ce48-4097-a0ca-73dc1c26907a",
              "name": "output.title",
              "type": "string",
              "value": "={{ $json.output.title }}"
            },
            {
              "id": "bfb3e15b-47ad-448c-a133-5e7df407c9a4",
              "name": "output.selftext",
              "type": "string",
              "value": "={{ $json.output.selftext }}"
            },
            {
              "id": "c60a96e4-fa40-466a-82f7-4569ab062bea",
              "name": "output.subreddit",
              "type": "string",
              "value": "={{ $json.output.subreddit }}"
            },
            {
              "id": "8a3789a9-af40-48a3-ba9f-6ae9be3d12aa",
              "name": "output.postid",
              "type": "string",
              "value": "={{ $json.output.postid }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "d43bae19-6d8e-4c2f-b352-24d865173cfb",
      "name": "Baserow에 게시물 세부 정보 추가",
      "type": "n8n-nodes-base.baserow",
      "position": [
        1072,
        592
      ],
      "parameters": {
        "tableId": 637660,
        "fieldsUi": {
          "fieldValues": [
            {
              "fieldId": 5203838,
              "fieldValue": "={{ $json['Post ID'] }}"
            },
            {
              "fieldId": 5203839,
              "fieldValue": "={{ $json['Post URL'] }}"
            },
            {
              "fieldId": 5203840,
              "fieldValue": "={{ $json.Subreddit }}"
            },
            {
              "fieldId": 5203842,
              "fieldValue": "={{ $json['Post Title'] }}"
            },
            {
              "fieldId": 5203860,
              "fieldValue": "={{ $json.created_utc }}"
            },
            {
              "fieldId": 5203864,
              "fieldValue": "={{ $json['Post Reply'] }}"
            },
            {
              "fieldId": 5203866,
              "fieldValue": "={{ $json.Status }}"
            }
          ]
        },
        "operation": "create",
        "databaseId": 272214
      },
      "credentials": {
        "baserowApi": {
          "id": "JVWuLuOHC9umBOcz",
          "name": "Baserow account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "fbab05be-4b65-402f-9c3d-a8191d51cac6",
      "name": "API 제한 회피 대기",
      "type": "n8n-nodes-base.wait",
      "position": [
        1344,
        576
      ],
      "webhookId": "4e0901fb-62cf-423d-a0ed-2c8fd4608776",
      "parameters": {
        "unit": "hours",
        "amount": 6
      },
      "typeVersion": 1.1
    },
    {
      "id": "10fa6043-7b34-4f3f-8bd1-e0d15814e3bd",
      "name": "구조에서 출력 매핑",
      "type": "n8n-nodes-base.set",
      "position": [
        1344,
        304
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "c181497a-1aa0-4a50-a0a6-494ef873b121",
              "name": "Post URL",
              "type": "string",
              "value": "=https://www.reddit.com{{ $('Search for a post').item.json.permalink }}"
            },
            {
              "id": "3a098593-c054-4c12-bc7f-6cf8387ba4d5",
              "name": "Post ID",
              "type": "string",
              "value": "={{ $('If').item.json.output.postid }}"
            },
            {
              "id": "b1bed346-e795-4a85-8a2b-6c07f8dbd771",
              "name": "Subreddit",
              "type": "string",
              "value": "={{ $('If').item.json.output.subreddit }}"
            },
            {
              "id": "aaf96c11-bb74-4478-b8c1-4ad97413002c",
              "name": "Post Title",
              "type": "string",
              "value": "={{ $('If').item.json.output.title }}"
            },
            {
              "id": "a18ca3b0-1656-47dc-a837-4affc2079889",
              "name": "Post Reply",
              "type": "string",
              "value": "={{ $('AI Agent1').item.json.output }}"
            },
            {
              "id": "a6c71807-d6ae-4373-8a9b-7e5b60fe30e2",
              "name": "Status",
              "type": "boolean",
              "value": true
            },
            {
              "id": "78912b7f-d5b3-443f-b43a-d5be09dc6d0a",
              "name": "created_utc",
              "type": "number",
              "value": "={{ $('Search for a post').item.json.created_utc }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "d9e8f083-638d-4c92-a575-c096c842b0c5",
  "connections": {
    "5a3c7d24-b2ca-49a7-bbeb-0211078b2832": {
      "main": [
        [
          {
            "node": "9c557675-1d51-429d-abe1-671e10f8b7c3",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "0d6b0645-34c0-44b0-b056-e7708c35952b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "222787a5-bc2d-44ba-824c-66dabfdadd6b": {
      "main": [
        [
          {
            "node": "0d6b0645-34c0-44b0-b056-e7708c35952b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "4db24f06-eb53-480c-b667-b69180bb2dae": {
      "main": [
        [
          {
            "node": "0ff2aebf-76e8-487c-b20a-35dfa8a942f0",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "5576d6c4-eac2-4655-b2cb-264305a798ad": {
      "main": [
        [
          {
            "node": "57565fe1-9804-4537-9396-9728494a9da6",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "9c557675-1d51-429d-abe1-671e10f8b7c3": {
      "main": [
        [
          {
            "node": "37c357e1-0e13-4537-b28c-6b655f797f9a",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "37c357e1-0e13-4537-b28c-6b655f797f9a": {
      "main": [
        [
          {
            "node": "10fa6043-7b34-4f3f-8bd1-e0d15814e3bd",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "1c24e125-87d3-4cac-a20b-287359e26986": {
      "ai_memory": [
        [
          {
            "node": "9c557675-1d51-429d-abe1-671e10f8b7c3",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "0d6b0645-34c0-44b0-b056-e7708c35952b": {
      "main": [
        [],
        [
          {
            "node": "da15d5d6-6c3b-4162-b157-9242b3c3f609",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "0a3f4382-7dae-4199-87ad-a0048c8359c6": {
      "main": [
        [
          {
            "node": "042435f1-9561-4b6b-85cc-032ca94324f0",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "57565fe1-9804-4537-9396-9728494a9da6": {
      "main": [
        [
          {
            "node": "5a3c7d24-b2ca-49a7-bbeb-0211078b2832",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "042435f1-9561-4b6b-85cc-032ca94324f0": {
      "main": [
        [
          {
            "node": "0d6b0645-34c0-44b0-b056-e7708c35952b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "f961314a-20b5-45b8-acdc-31a5e0fe4440": {
      "ai_languageModel": [
        [
          {
            "node": "5576d6c4-eac2-4655-b2cb-264305a798ad",
            "type": "ai_languageModel",
            "index": 1
          }
        ]
      ]
    },
    "0ff2aebf-76e8-487c-b20a-35dfa8a942f0": {
      "main": [
        [
          {
            "node": "222787a5-bc2d-44ba-824c-66dabfdadd6b",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "5576d6c4-eac2-4655-b2cb-264305a798ad",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "3804348d-1ad6-4473-80ed-9d19004d48d8": {
      "ai_languageModel": [
        [
          {
            "node": "9c557675-1d51-429d-abe1-671e10f8b7c3",
            "type": "ai_languageModel",
            "index": 1
          }
        ]
      ]
    },
    "10fa6043-7b34-4f3f-8bd1-e0d15814e3bd": {
      "main": [
        [
          {
            "node": "d43bae19-6d8e-4c2f-b352-24d865173cfb",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "8fef64ee-96ca-4a30-8342-66f9a9f9d929": {
      "ai_languageModel": [
        [
          {
            "node": "5576d6c4-eac2-4655-b2cb-264305a798ad",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "8a0c0fc0-cfd7-47a3-8c54-31411e77c68b": {
      "ai_outputParser": [
        [
          {
            "node": "5576d6c4-eac2-4655-b2cb-264305a798ad",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "b2d82149-f64e-4d1d-9d64-a7130058f2d0": {
      "ai_languageModel": [
        [
          {
            "node": "9c557675-1d51-429d-abe1-671e10f8b7c3",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "d43bae19-6d8e-4c2f-b352-24d865173cfb": {
      "main": [
        [
          {
            "node": "fbab05be-4b65-402f-9c3d-a8191d51cac6",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "fbab05be-4b65-402f-9c3d-a8191d51cac6": {
      "main": [
        [
          {
            "node": "0d6b0645-34c0-44b0-b056-e7708c35952b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "da15d5d6-6c3b-4162-b157-9242b3c3f609": {
      "main": [
        [
          {
            "node": "4db24f06-eb53-480c-b667-b69180bb2dae",
            "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 - 소셜 미디어, 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
고급
노드 수35
카테고리2
노드 유형15
난이도 설명

고급 사용자를 위한 16+개 노드의 복잡한 워크플로우

저자
Arunava

Arunava

@arunava

Product & Growth at Testline AI | Automating the Boring Stuff with AI Agents | Ex-RecordBook (YC W22)

외부 링크
n8n.io에서 보기

이 워크플로우 공유

카테고리

카테고리: 34