8
n8n Françaisamn8n.com

Convertisseur de contenu Wikipédia en contenu LinkedIn AI avec images via Bright Data

Avancé

Ceci est unSocial Media, Multimodal AIworkflow d'automatisation du domainecontenant 19 nœuds.Utilise principalement des nœuds comme If, Code, Wait, LinkedIn, FormTrigger. Générer des publications LinkedIn à partir de Wikipédia avec résumés GPT-4 et images Ideogram

Prérequis
  • •Informations d'identification LinkedIn API
  • •Peut nécessiter les informations d'identification d'authentification de l'API cible
  • •Clé API OpenAI
  • •Clé API Anthropic

Nœuds utilisés (19)

If
Code
Wait
LinkedIn
StickyNote
FormTrigger
HttpRequest
Agent
LmChatOpenAi
LmChatAnthropic
OutputParserAutofixing
OutputParserStructured

Catégorie

Réseaux sociaux
IA Multimodale
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
React Flow
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
  "id": "jYtmNu9biqEaTS14",
  "meta": {
    "instanceId": "bc8ca75c203589705ae2e446cad7181d6f2a7cc1766f958ef9f34810e53b8cb2",
    "templateCredsSetupCompleted": true
  },
  "name": "Wikipedia to LinkedIn AI Content Poster with Image via Bright Data",
  "tags": [],
  "nodes": [
    {
      "id": "9b8ad45f-4bd8-4eb9-a9f1-9a0f869205a0",
      "name": "Attendre le statut",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        80,
        48
      ],
      "parameters": {
        "url": "=https://api.brightdata.com/datasets/v3/progress/{{ $json.snapshot_id }}",
        "options": {},
        "sendQuery": true,
        "sendHeaders": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "format",
              "value": "json"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "Bearer BRIGHT_DATA_API_KEY"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "1d74b201-ff92-475e-badf-3adcdfc88149",
      "name": "Vérifier le statut final",
      "type": "n8n-nodes-base.if",
      "position": [
        272,
        48
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "or",
          "conditions": [
            {
              "id": "35ed620d-b5d5-4e97-bcc5-52b283d85616",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.status }}",
              "rightValue": "ready"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "78c09194-2899-4b0b-b00a-dd35f85b95c4",
      "name": "Récupération d'article Wikipédia",
      "type": "n8n-nodes-base.httpRequest",
      "onError": "continueRegularOutput",
      "position": [
        512,
        32
      ],
      "parameters": {
        "url": "=https://api.brightdata.com/datasets/v3/snapshot/{{ $json.snapshot_id }}",
        "options": {},
        "sendQuery": true,
        "sendHeaders": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "format",
              "value": "json"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "Bearer BRIGHT_DATA_API_KEY"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "2f36e8a4-4c76-4b32-8519-56e16e26f349",
      "name": "Agent IA",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        736,
        32
      ],
      "parameters": {
        "text": "=here is the title:-  {{ $json.cataloged_text[0].title }}\nhere is the article of my title :- {{ $json.cataloged_text[0].text }}",
        "options": {
          "systemMessage": "=Task:- \nSummarize the following article in under 2000 characters, keeping it professional, informative, and engaging enough for a LinkedIn audience.\n\nUse bullet points if helpful. Avoid repetition. Remove any unnecessary fluff.\n\nTone should be confident, insightful, and thought-leadership oriented — ideal for busy professionals who want quick understanding.\n\nHere's the content:\n---\n{{ $json.cataloged_text[0].text }}\n---\n"
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 2.1
    },
    {
      "id": "776e4ef3-61f8-4a31-aff3-550ff32861c8",
      "name": "Modèle de chat OpenAI",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        720,
        272
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_CREDENTIAL_ID",
          "name": "OpenAI Account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "79f161a8-325c-47f1-8f83-541db9b922dc",
      "name": "Analyseur de sortie structurée",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        880,
        608
      ],
      "parameters": {
        "jsonSchemaExample": "{\n\t\"text\": \"California\"\n\n}"
      },
      "typeVersion": 1.3
    },
    {
      "id": "ce3f23b3-aa8f-479c-b50b-8b7811c98ae5",
      "name": "Analyseur de sortie auto-corrigé",
      "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
      "position": [
        816,
        368
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "a7c51767-3fb8-4931-9316-8ada84ced20c",
      "name": "Génération d'image",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1120,
        32
      ],
      "parameters": {
        "url": "https://api.ideogram.ai/v1/ideogram-v3/generate",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "contentType": "multipart-form-data",
        "sendHeaders": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "=prompt",
              "value": "={{ $json.output.text }}"
            },
            {
              "name": "rendering_speed",
              "value": "TURBO"
            },
            {
              "name": "resolution",
              "value": "1280x704"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "Api-Key",
              "value": "IDEOGRAM_API_KEY"
            }
          ]
        }
      },
      "typeVersion": 4.2,
      "alwaysOutputData": true
    },
    {
      "id": "973e8cc1-c121-41d6-beb2-53ade53aaa8b",
      "name": "Créer un post",
      "type": "n8n-nodes-base.linkedIn",
      "position": [
        1648,
        32
      ],
      "parameters": {
        "text": "={{ $('AI Agent').item.json.output.text }}",
        "person": "LINKEDIN_PROFILE_ID",
        "additionalFields": {},
        "shareMediaCategory": "IMAGE"
      },
      "credentials": {
        "linkedInOAuth2Api": {
          "id": "LINKEDIN_CREDENTIAL_ID",
          "name": "LinkedIn Account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "ee187ab3-c45f-4379-925b-b35a38ae6960",
      "name": "Requête HTTP 1",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1328,
        32
      ],
      "parameters": {
        "url": "={{ $json.data[0].url }}",
        "options": {
          "response": {
            "response": {
              "responseFormat": "file"
            }
          }
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "badfa608-4dce-4d7f-bee8-b91df407daa5",
      "name": "Modèle de chat Anthropic",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "position": [
        816,
        768
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "claude-sonnet-4-20250514",
          "cachedResultName": "Claude 4 Sonnet"
        },
        "options": {}
      },
      "credentials": {
        "anthropicApi": {
          "id": "ANTHROPIC_CREDENTIAL_ID",
          "name": "Anthropic Account"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "9bc87c92-4ad5-4166-821a-908b8f21789a",
      "name": "URL LinkedIn",
      "type": "n8n-nodes-base.code",
      "onError": "continueRegularOutput",
      "position": [
        1872,
        32
      ],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "const item = $input.item;\nconst shareUrn = item.json.urn || '';\n\n// Check if it's a valid LinkedIn share URN\nif (shareUrn.startsWith('urn:li:share:')) {\n  item.json.linkedinUrl = `https://www.linkedin.com/feed/update/${shareUrn}/`;\n} else {\n  item.json.linkedinUrl = 'Invalid LinkedIn URN';\n}\n\nreturn item;\n"
      },
      "typeVersion": 2
    },
    {
      "id": "8d794457-0fda-4f5a-b104-dc1d49e3cbc9",
      "name": "Attente",
      "type": "n8n-nodes-base.wait",
      "position": [
        480,
        208
      ],
      "webhookId": "04a84ebd-34a0-4095-8cda-c1acd041c582",
      "parameters": {
        "unit": "minutes",
        "amount": 1
      },
      "typeVersion": 1.1
    },
    {
      "id": "0e4118e7-40e8-412b-bcf8-f98e313475f7",
      "name": "📝 À la soumission du formulaire",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        -368,
        48
      ],
      "webhookId": "5ca0f1b4-2957-47e5-9894-62f1d759504d",
      "parameters": {
        "options": {},
        "formTitle": "Wikipedia Search",
        "formFields": {
          "values": [
            {
              "fieldLabel": "Article Name"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "18ba69a8-bdaf-4895-8aea-332cbca7cd5e",
      "name": "Note adhésive",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -512,
        -112
      ],
      "parameters": {
        "color": 7,
        "width": 496,
        "height": 352,
        "content": "📝+🌐 Start & Submit Article\n\"User starts the flow by entering the article name in the form.\nThe system sends a scraping request with that article name to BrightData.\"\n\nCovers:\n\nOn form submission\n\nHTTP Request"
      },
      "typeVersion": 1
    },
    {
      "id": "616019f6-fd99-4688-89c6-52fb87a8d1b3",
      "name": "🌐 Requête HTTP",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -160,
        48
      ],
      "parameters": {
        "url": "https://api.brightdata.com/datasets/v3/trigger",
        "method": "POST",
        "options": {},
        "jsonBody": "=[\n  {\n    \"keyword\": \"{{ $json[\"Article Name\"] }}\",\n    \"pages_load\": 1\n  }\n] ",
        "sendBody": true,
        "sendQuery": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "queryParameters": {
          "parameters": [
            {
              "name": "dataset_id",
              "value": "gd_lr9978962kkjr3nx49"
            },
            {
              "name": "include_errors",
              "value": "true"
            },
            {
              "name": "type",
              "value": "discover_new"
            },
            {
              "name": "discover_by",
              "value": "keyword"
            },
            {
              "name": "limit_per_input",
              "value": "1"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "Bearer BRIGHT_DATA_API_KEY"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "36051a55-4361-4771-b9e8-0ec9a45d9b6b",
      "name": "Note adhésive 1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        16,
        -368
      ],
      "parameters": {
        "color": 2,
        "width": 624,
        "height": 800,
        "content": "🔷 Bright Data Extraction Section:\n🔵 HTTP Request (Trigger Dataset)\nStarts the Bright Data dataset crawl using the submitted keyword.\n\n🔵 Wait for Status\nChecks crawl progress using snapshot_id.\n\n🔵 Check Final Status (IF node)\nChecks if crawl status is 'ready'. If not, it waits.\n\n🔵 Wait (1 min)\nWaits before rechecking crawl status.\n\n🔵 Wikipedia Scrap Post\nFetches scraped data (title & text) using snapshot_id."
      },
      "typeVersion": 1
    },
    {
      "id": "6fc44f9d-c523-4e5c-9aac-56ee9d186ee8",
      "name": "Note adhésive 2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        688,
        -416
      ],
      "parameters": {
        "color": 3,
        "width": 768,
        "height": 912,
        "content": "🤖 AI Summarization Section:\n🤖 AI Agent\nSummarizes the scraped Wikipedia text into 2000 characters, suitable for a LinkedIn audience.\n\n🧠 OpenAI Chat Model\nGPT-4.1-mini model that powers the AI Agent.\n\n🧠 Anthropic Chat Model (Claude)\nAlternative language model linked to autofixing output.\n\n🔧 Auto-fixing Output Parser\nImproves/fixes AI output structure if needed.\n\n📐 Structured Output Parser\nEnsures final output follows JSON format.\n\n🖼️ Image Generation Section:\n🎨 Image Generate (Ideogram API)\nCreates a relevant image based on summarized text.\n\n📦 HTTP Request1\nDownloads the generated image from Ideogram.\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "63c942b0-4dac-4414-8278-9bf91d69816a",
      "name": "Note adhésive 3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1488,
        -160
      ],
      "parameters": {
        "color": 4,
        "width": 608,
        "height": 416,
        "content": "📤 Publishing Section:\n🔗 Create a Post (LinkedIn)\nPosts summary + image to a specified LinkedIn profile.\n\n🔗 LinkedIn URL (Code node)\nGenerates public LinkedIn post URL using URN.\n\n"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "c1901b18-15a5-434b-8670-5a63f7058f34",
  "connections": {
    "8d794457-0fda-4f5a-b104-dc1d49e3cbc9": {
      "main": [
        [
          {
            "node": "9b8ad45f-4bd8-4eb9-a9f1-9a0f869205a0",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "2f36e8a4-4c76-4b32-8519-56e16e26f349": {
      "main": [
        [
          {
            "node": "a7c51767-3fb8-4931-9316-8ada84ced20c",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "973e8cc1-c121-41d6-beb2-53ade53aaa8b": {
      "main": [
        [
          {
            "node": "9bc87c92-4ad5-4166-821a-908b8f21789a",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "ee187ab3-c45f-4379-925b-b35a38ae6960": {
      "main": [
        [
          {
            "node": "973e8cc1-c121-41d6-beb2-53ade53aaa8b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "a7c51767-3fb8-4931-9316-8ada84ced20c": {
      "main": [
        [
          {
            "node": "ee187ab3-c45f-4379-925b-b35a38ae6960",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "9b8ad45f-4bd8-4eb9-a9f1-9a0f869205a0": {
      "main": [
        [
          {
            "node": "1d74b201-ff92-475e-badf-3adcdfc88149",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "776e4ef3-61f8-4a31-aff3-550ff32861c8": {
      "ai_languageModel": [
        [
          {
            "node": "2f36e8a4-4c76-4b32-8519-56e16e26f349",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "616019f6-fd99-4688-89c6-52fb87a8d1b3": {
      "main": [
        [
          {
            "node": "9b8ad45f-4bd8-4eb9-a9f1-9a0f869205a0",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "1d74b201-ff92-475e-badf-3adcdfc88149": {
      "main": [
        [
          {
            "node": "78c09194-2899-4b0b-b00a-dd35f85b95c4",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "8d794457-0fda-4f5a-b104-dc1d49e3cbc9",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "badfa608-4dce-4d7f-bee8-b91df407daa5": {
      "ai_languageModel": [
        [
          {
            "node": "ce3f23b3-aa8f-479c-b50b-8b7811c98ae5",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "78c09194-2899-4b0b-b00a-dd35f85b95c4": {
      "main": [
        [
          {
            "node": "2f36e8a4-4c76-4b32-8519-56e16e26f349",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "0e4118e7-40e8-412b-bcf8-f98e313475f7": {
      "main": [
        [
          {
            "node": "616019f6-fd99-4688-89c6-52fb87a8d1b3",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "79f161a8-325c-47f1-8f83-541db9b922dc": {
      "ai_outputParser": [
        [
          {
            "node": "ce3f23b3-aa8f-479c-b50b-8b7811c98ae5",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "ce3f23b3-aa8f-479c-b50b-8b7811c98ae5": {
      "ai_outputParser": [
        [
          {
            "node": "2f36e8a4-4c76-4b32-8519-56e16e26f349",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    }
  }
}
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 - Réseaux sociaux, IA Multimodale

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.

Workflows recommandés

Usine de contenu LinkedIn (avec recherche OpenAI et génération d'images de marque)
Usine de contenu LinkedIn, intégrant la recherche OpenAI et la génération d'images de marque Replicate
If
Set
Code
+
If
Set
Code
23 NœudsOnur
Réseaux sociaux
Copie d'articles SEO (version publique)
Génération et publication d'articles SEO en utilisant Claude AI, Webflow et la génération d'images
If
Code
Wait
+
If
Code
Wait
30 NœudsMarko
Création de contenu
Générer des courts métrages avec Creatomate
Générez des courts vidéos IA avec Creatomate, ElevenLabs et la banque de médias Pexels
If
Code
Wait
+
If
Code
Wait
31 NœudsMatty Reed
Création de contenu
Automatisation Reddit multi-agents intelligente d'Arunava
Utiliser l'IA pour suivre les mentions de marque sur Reddit et gérer automatiquement les commentaires avec Baserow
If
Set
Code
+
If
Set
Code
35 NœudsArunava
Réseaux sociaux
Usine à publications
基于OpenAI、LinkedInetTwitter审批deautomatisationréseaux sociauxcontenu创作
If
Gmail
Slack
+
If
Gmail
Slack
22 NœudsSaloni Malhotra
Réseaux sociaux
Détection de cannibalisation de mots-clés avec GPT-4o et Google Search Console
Détection du cannibalisation de mots-clés avec GPT-4o et Google Search Console
If
Code
Merge
+
If
Code
Merge
27 NœudsIncrementors
Création de contenu
Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds19
Catégorie2
Types de nœuds12
Description de la difficulté

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

Auteur
Incrementors

Incrementors

@incrementors
Liens externes
Voir sur n8n.io →

Partager ce workflow

Catégories

IA Multimodale
1540
Intelligence Artificielle
1108
Création de contenu
695
Résumé IA
516
Marketing
419
Chatbot IA
251
Ingénierie
241
Étude de marché
203
Divers
193
Autres
176
Ventes
162
Opérations IT
156
Extraction de documents
147
RAG IA
146
Blocs de construction
144
Réseaux sociaux
137
Génération de leads
125
Productivité personnelle
117
DevOps
111
Ressources Humaines
101
Support
97
Nurturing de leads
87
CRM
82
Finance
81
Produit
77
Chatbot de support
76
Design
70
Gestion des tickets
67
Opérations de sécurité
57
Traitement des factures
53
Trading crypto
49
Gestion de fichiers
39
Gestion de projet
35
Wiki interne
32

Catégories: 34