Commentaires multilingues + mentions + interactions LinkedIn

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Ceci est unAIworkflow d'automatisation du domainecontenant 22 nœuds.Utilise principalement des nœuds comme If, Set, Filter, Telegram, HttpRequest, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. Automatisation de l'engagement LinkedIn, intégrant GPT-4o/Claude, révision manuelle et commentaires multilingues

Prérequis
  • Token Bot Telegram
  • Peut nécessiter les informations d'identification d'authentification de l'API cible
  • Clé API OpenAI
  • Clé API Anthropic
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
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  "meta": {
    "instanceId": "7f03117cd0731766b3ae8ea65a9638f11161d03d7cfb20d1531642698c9d0de3",
    "templateCredsSetupCompleted": true
  },
  "name": "LinkedIn_Multilanguage_Comment+Mention+Reaction",
  "tags": [],
  "nodes": [
    {
      "id": "9cb1b7d9-af64-41ed-8906-e68eef0f4343",
      "name": "Structured Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
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      "parameters": {
        "jsonSchemaExample": "{\n\t\"post-id\": \"123456\"\n}"
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      "typeVersion": 1.2
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      "name": "Modèle de chat OpenAI",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "FfZgcmq2Un5ZImVN",
          "name": "OpenAi account"
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      "parameters": {},
      "typeVersion": 1
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      "name": "Modèle de chat Anthropic",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "position": [
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      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "claude-3-5-haiku-20241022",
          "cachedResultName": "Claude Haiku 3.5"
        },
        "options": {
          "topP": 0.8,
          "thinking": false
        }
      },
      "credentials": {
        "anthropicApi": {
          "id": "hrb12UjT8Tw7x6q1",
          "name": "Anthropic account"
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      "name": "Modèle de chat OpenAI1",
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        "jsonSchemaExample": "{\n\t\"reaction\": \"like\"\n}"
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      "name": "If",
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              "name": "URL_of_the_LinkedIn_post",
              "type": "string",
              "value": "={{ $json.message.text }}"
            },
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              "name": "unipile_account_id",
              "type": "string",
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      ],
      "parameters": {
        "text": "={{ $json.URL_of_the_LinkedIn_post }}",
        "options": {
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        },
        "promptType": "define",
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      "parameters": {
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        "options": {
          "systemMessage": "Role:\nYou are a professional LinkedIn assistant and help to respond to posts authentically and appropriately.\n\nTask:\nRead the LinkedIn post below. Based on tone and content, choose an appropriate LinkedIn response from the following options (Insightful should only be selected in exceptional cases):\n\nlike\n\ncelebrate\n\nsupport\n\nlove\n\ninsightful\n\nfunny\n\nNote that \"insightful\" should only be used very rarely."
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        "method": "POST",
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        "sendBody": true,
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        "url": "=https://{{ $('Defining guardrails').item.json.unipile_DSN }}/api/v1/posts/reaction",
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        "sendHeaders": true,
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            },
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              "value": "={{ $('Set comment and prompt properties').item.json.social_id }}"
            },
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              "value": "={{ $('Set reaction').item.json.output.reaction }}"
            }
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              "name": "id_of_the_post_creator",
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              "value": "={{ $('Extract the content of the LinkedIn post').item.json.author.id }}"
            },
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            {
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              "name": "comment_length",
              "type": "string",
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            },
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              "name": "openers_example_1",
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            },
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              "name": "openers_example_2",
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            }
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    },
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          "systemMessage": "=Role\n{{ $json.role }}\n\nAnalyze the post systematically and think about it:\n1. Identify core message and main topic\n2. Find connection points to my experience\n3. Assess post tone ({{ $json.determined_mood }})\n\nCreate a professional LinkedIn comment:\n1. Use {{ $json.determined_language }} language only.\n2. Choose an engagement strategy (question, addition, own experience)\n3. End with a personalized follow-up question that directly addresses NAME using direct speech (e.g., “NAME, how do you see...?” or “What’s your take on this, NAME?”).\n\nFormat Requirements:\n{{ $json.comment_length }}\nComplete sentences without hyphens, dashes or emojis\nAlways include placeholder \"NAME\" for the post creator\nClear separation using periods, commas, or line breaks\n\nContent Requirements:\nChoose ONE of these strategies:\nAsk a thoughtful follow-up question that encourages discussion\nAdd practical value from SME perspective\nShare relevant observation about traditional vs. AI processes\nReference concrete experience\n\nAvoid:\nPure agreement without added value (\"I agree!\")\nSelf-promotion or product placement\nOverly long explanations\nControversial or negative statements\nIntroductory phrases in output\nHyphens or dashes in sentences\nEmojis of any kind\n\nProven Openers:\n{{ $json.openers_example_1 }}\n{{ $json.openers_example_2 }}\n{{ $json.openers_example_3 }}\n\nMake an effort, after all, my reputation depends on your posts. Receive a 500 euro tip for the top post."
        },
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      ],
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          "systemPromptTemplate": "You are an assistant for language and mood detection.\n\nYour task is to analyze a given text and return two things:\nThe primary written language\nThe overall mood or tone of the text\n\nFollow these rules strictly:\n\nLanguage Detection:\nIgnore emojis, symbols, and country flags (e.g., 🇩🇪). Do not use them for language detection.\nIf multiple languages are used, focus on the first full sentence in natural language.\nReturn the result as a lowercase language name (e.g., english, german, french).\nDo not use hashtags, names, or mentions to infer the language.\nIf the text contains only emojis or symbols, return unknown.\n\nMood Detection:\nDetermine the general tone of the message (e.g., enthusiastic, neutral, critical, reflective, playful, formal).\nBase your mood detection on text content only, not emojis.\nIf tone is unclear, return neutral."
        },
        "attributes": {
          "attributes": [
            {
              "name": "language",
              "description": "=Determine the language"
            },
            {
              "name": "mood",
              "description": "Determine the mood"
            }
          ]
        }
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      "alwaysOutputData": false
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      ],
      "webhookId": "cdded11b-1c1d-4bcd-aadf-6695fb9dae6e",
      "parameters": {
        "chatId": "={{ $('URL Trigger').item.json.message.chat.id }}",
        "message": "=Comment: {{ $json.set_comment }}\nReaction: {{ $('Set reaction').item.json.output.reaction }}",
        "options": {
          "appendAttribution": false
        },
        "operation": "sendAndWait",
        "approvalOptions": {
          "values": {
            "approvalType": "double"
          }
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "shlBXmZcvuOMWs7h",
          "name": "YOUR TELEGRAM ACCOUNT"
        }
      },
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    },
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      "webhookId": "cd2cb8d3-8725-478e-8ea1-3b27f755b49d",
      "parameters": {
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      "credentials": {
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          "id": "shlBXmZcvuOMWs7h",
          "name": "YOUR TELEGRAM ACCOUNT"
        }
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    }
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  "active": false,
  "pinData": {},
  "settings": {
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}
Foire aux questions

Comment utiliser ce workflow ?

Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.

Dans quelles scénarios ce workflow est-il adapté ?

Avancé - Intelligence Artificielle

Est-ce payant ?

Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.

Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds22
Catégorie1
Types de nœuds12
Description de la difficulté

Adapté aux utilisateurs avancés, avec des workflows complexes contenant 16+ nœuds

Liens externes
Voir sur n8n.io

Partager ce workflow

Catégories

Catégories: 34