Automatización inteligente de Reddit multi-agente de Arunava

Avanzado

Este es unSocial Media, Multimodal AIflujo de automatización del dominio deautomatización que contiene 35 nodos.Utiliza principalmente nodos como If, Set, Code, Wait, Reddit. Usar mención de marca de IA y Baserow para rastrear automáticamente comentarios publicados en Reddit

Requisitos previos
  • Pueden requerirse credenciales de autenticación para la API de destino
  • Clave de API de Anthropic
  • Clave de API de Google Gemini
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
  "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": "Disparador Programado",
      "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": "Buscar publicación",
      "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": "Agente de IA",
      "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 Chat Model",
      "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": "Analizador de Salida Estructurada",
      "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": "Iterar sobre Elementos",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        512,
        16
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "5a3c7d24-b2ca-49a7-bbeb-0211078b2832",
      "name": "Si",
      "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": "Agente de IA1",
      "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 Chat Model1",
      "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": "Memoria Simple",
      "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 Request",
      "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": "Esperar",
      "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": "Nota Adhesiva",
      "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": "Nota Adhesiva1",
      "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": "Nota Adhesiva2",
      "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": "Nota Adhesiva3",
      "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": "Nota Adhesiva4",
      "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": "Nota Adhesiva5",
      "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": "Nota Adhesiva6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -80,
        208
      ],
      "parameters": {
        "height": 256,
        "content": "## Structure Output"
      },
      "typeVersion": 1
    },
    {
      "id": "b5feaa38-8db8-4297-9340-2dc1d2447b16",
      "name": "Nota Adhesiva7",
      "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": "Nota Adhesiva8",
      "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": "Nota Adhesiva9",
      "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": "Nota Adhesiva10",
      "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 Chat Model",
      "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 Chat Model1",
      "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": "Nota Adhesiva11",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1456,
        -80
      ],
      "parameters": {
        "height": 256,
        "content": "## Wait for 5mins"
      },
      "typeVersion": 1
    },
    {
      "id": "43739193-e6be-490c-b075-efdbf1c9139c",
      "name": "Nota Adhesiva12",
      "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": "Nota Adhesiva13",
      "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": "Verificar duplicados en Baserow",
      "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": "Filtrar",
      "type": "n8n-nodes-base.code",
      "position": [
        992,
        16
      ],
      "parameters": {
        "jsCode": "const post = $items('Loop Over Items', 0, 0).json;   // current Reddit post\nconst res  = $json;                                   // HTTP response {count, results}\nreturn [{\n  json: {\n    ...post,\n    baserow_count: res.count || 0,\n    baserow_results: res.results || res.results?.results || [],\n  }\n}];\n"
      },
      "typeVersion": 2
    },
    {
      "id": "0ff2aebf-76e8-487c-b20a-35dfa8a942f0",
      "name": "Filtrar Publicaciones Respondidas",
      "type": "n8n-nodes-base.if",
      "position": [
        1248,
        16
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "88c84089-90f5-488e-b922-bdcb329772c5",
              "operator": {
                "type": "boolean",
                "operation": "true",
                "singleValue": true
              },
              "leftValue": "={{ ($json.baserow_count || 0) > 0 && ($json.baserow_results[0]?.status === true) }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "57565fe1-9804-4537-9396-9728494a9da6",
      "name": "Estructurar Salida",
      "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": "Agregar Detalles de Publicación en Baserow",
      "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": "Esperar para evitar límite de api",
      "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": "Mapear Salida en Estructura",
      "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
          }
        ]
      ]
    }
  }
}
Preguntas frecuentes

¿Cómo usar este flujo de trabajo?

Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.

¿En qué escenarios es adecuado este flujo de trabajo?

Avanzado - Redes sociales, IA Multimodal

¿Es de pago?

Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.

Información del flujo de trabajo
Nivel de dificultad
Avanzado
Número de nodos35
Categoría2
Tipos de nodos15
Descripción de la dificultad

Adecuado para usuarios avanzados, flujos de trabajo complejos con 16+ nodos

Autor
Arunava

Arunava

@arunava

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

Enlaces externos
Ver en n8n.io

Compartir este flujo de trabajo

Categorías

Categorías: 34