8
n8n Françaisamn8n.com

Génération de récits d'entreprise à partir de LinkedIn avec Bright Data et Google Gemini

Avancé

Ceci est unSales, AI, Marketingworkflow d'automatisation du domainecontenant 19 nœuds.Utilise principalement des nœuds comme If, Set, Wait, HttpRequest, ManualTrigger, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. Utiliser Bright Data et Google Gemini pour générer l'histoire d'une entreprise à partir de LinkedIn

Prérequis
  • •Peut nécessiter les informations d'identification d'authentification de l'API cible
  • •Clé API Google Gemini

Nœuds utilisés (19)

If
Set
Wait
StickyNote
HttpRequest
ManualTrigger
ChainSummarization
LmChatGoogleGemini
InformationExtractor
DocumentDefaultDataLoader
TextSplitterRecursiveCharacterTextSplitter

Catégorie

Ventes
Intelligence Artificielle
Marketing
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": "q1DorytEoEw1QLGj",
  "meta": {
    "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
    "templateCredsSetupCompleted": true
  },
  "name": "Generate Company Stories from LinkedIn with Bright Data & Google Gemini",
  "tags": [
    {
      "id": "ddPkw7Hg5dZhQu2w",
      "name": "AI",
      "createdAt": "2025-04-13T05:38:08.053Z",
      "updatedAt": "2025-04-13T05:38:08.053Z"
    },
    {
      "id": "rKOa98eAi3IETrLu",
      "name": "HR",
      "createdAt": "2025-04-13T04:59:30.580Z",
      "updatedAt": "2025-04-13T04:59:30.580Z"
    }
  ],
  "nodes": [
    {
      "id": "1424195e-79ec-48e8-9bb6-fbae072aca81",
      "name": "Lors du clic sur 'Tester le workflow'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -1440,
        245
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "509519c2-efe9-4191-87af-9c5c782350d6",
      "name": "Google Gemini Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "notes": "Gemini Experimental Model",
      "position": [
        696,
        540
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-thinking-exp-01-21"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "notesInFlow": true,
      "typeVersion": 1
    },
    {
      "id": "3be8be65-38c2-4500-8676-925bdf7844ac",
      "name": "Chargeur de données par défaut",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        816,
        542.5
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "65b72f55-6424-487b-a622-879589d43344",
      "name": "Séparateur de texte récursif",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
        904,
        740
      ],
      "parameters": {
        "options": {},
        "chunkOverlap": 100
      },
      "typeVersion": 1
    },
    {
      "id": "4ab31927-5372-4a8f-83b5-355bcd6eaae2",
      "name": "Si",
      "type": "n8n-nodes-base.if",
      "position": [
        -340,
        170
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "6a7e5360-4cb5-4806-892e-5c85037fa71c",
              "operator": {
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $('Check Snapshot Status').item.json.status }}",
              "rightValue": "ready"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "30382d3b-6ba8-4a96-93ce-9d22fc547793",
      "name": "Définir l'ID de l'instantané",
      "type": "n8n-nodes-base.set",
      "position": [
        -780,
        245
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "2c3369c6-9206-45d7-9349-f577baeaf189",
              "name": "snapshot_id",
              "type": "string",
              "value": "={{ $json.snapshot_id }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "a4867b6f-fa91-4b83-befc-9ce97c10228c",
      "name": "Télécharger l'instantané",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        100,
        120
      ],
      "parameters": {
        "url": "=https://api.brightdata.com/datasets/v3/snapshot/{{ $json.snapshot_id }}",
        "options": {
          "timeout": 10000
        },
        "sendQuery": true,
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "queryParameters": {
          "parameters": [
            {
              "name": "format",
              "value": "json"
            }
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "kdbqXuxIR8qIxF7y",
          "name": "Header Auth account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "16580d94-23fc-45d6-a282-640148b602d3",
      "name": "Définir l'URL LinkedIn",
      "type": "n8n-nodes-base.set",
      "position": [
        -1220,
        245
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "47f839a1-df2a-4972-9dad-597a8af0bf75",
              "name": "url",
              "type": "string",
              "value": "https://il.linkedin.com/company/bright-data"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "be007904-269a-4823-bdd8-1ba5b4f69f5c",
      "name": "Google Gemini Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        408,
        340
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "56a08c75-5122-483e-af0e-da1dd3e08eaf",
      "name": "Vérifier les erreurs",
      "type": "n8n-nodes-base.if",
      "position": [
        -120,
        120
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "b267071c-7102-407b-a98d-f613bcb1a106",
              "operator": {
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.errors.toString() }}",
              "rightValue": "0"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "6925a606-1108-4605-9124-c74d3df555ac",
      "name": "Note autocollante",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1420,
        -100
      ],
      "parameters": {
        "width": 400,
        "height": 280,
        "content": "## Note\n\nDeals with the LinkedIn data extraction using the Bright Data Web Scrapper API.\n\nThe information extraction and summarization are being used to demonstrate the usage of the N8N AI capabilities.\n\n**Please make sure to set the LinkedIn URL and Webhook Notification URL**"
      },
      "typeVersion": 1
    },
    {
      "id": "a5f977db-14e5-4652-b2d3-0a1b0470be9a",
      "name": "Note autocollante1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -940,
        -100
      ],
      "parameters": {
        "width": 420,
        "height": 280,
        "content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nInformation extraction is being used for formatting the LinkedIn response to produce a story.\n\nSummarization Chain is being used for summarization of the content"
      },
      "typeVersion": 1
    },
    {
      "id": "ae6377e2-6ca0-4218-affd-d3c81c16d996",
      "name": "Effectuer une requête web LinkedIn",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -1000,
        245
      ],
      "parameters": {
        "url": "https://api.brightdata.com/datasets/v3/trigger",
        "method": "POST",
        "options": {},
        "jsonBody": "=[\n  {\n    \"url\": \"{{ $json.url }}\"\n  }\n]",
        "sendBody": true,
        "sendQuery": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "queryParameters": {
          "parameters": [
            {
              "name": "dataset_id",
              "value": "gd_l1vikfnt1wgvvqz95w"
            },
            {
              "name": "include_errors",
              "value": "true"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {}
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "kdbqXuxIR8qIxF7y",
          "name": "Header Auth account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "9a1e8d92-24a9-481c-b81f-5e37bca46fe2",
      "name": "Vérifier le statut de l'instantané",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -560,
        245
      ],
      "parameters": {
        "url": "=https://api.brightdata.com/datasets/v3/progress/{{ $json.snapshot_id }}",
        "options": {},
        "sendHeaders": true,
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "headerParameters": {
          "parameters": [
            {}
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "kdbqXuxIR8qIxF7y",
          "name": "Header Auth account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "543d6087-c1d8-4f98-9b7c-fedbce9b0215",
      "name": "Extracteur de données LinkedIn",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        320,
        120
      ],
      "parameters": {
        "text": "=Write a complete story of the provided company information in JSON. Use the following Company info to produce a story or a blog post. Make sure to incorporate all the provided company context.\n\nHere's the Company Info in JSON - {{ $json.input }}",
        "options": {
          "systemPromptTemplate": "You are an expert data formatter"
        },
        "attributes": {
          "attributes": [
            {
              "name": "company_story",
              "required": true,
              "description": "Detailed Company Info"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "d07c83f0-5adf-4d5a-976a-b344aa8a853e",
      "name": "Générateur de résumé concis",
      "type": "@n8n/n8n-nodes-langchain.chainSummarization",
      "position": [
        712,
        320
      ],
      "parameters": {
        "options": {
          "summarizationMethodAndPrompts": {
            "values": {
              "prompt": "=Write a concise summary of the following:\n\n\n{{ $json.output.company_story }}\n\n",
              "combineMapPrompt": "=Write a concise summary of the following:\n\n\n\n\n\nCONCISE SUMMARY: {{ $json.output.company_story }}"
            }
          }
        },
        "operationMode": "documentLoader"
      },
      "typeVersion": 2
    },
    {
      "id": "0867753e-c3ab-473e-960a-344573cdde29",
      "name": "Notificateur Webhook pour l'extracteur de données",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        834,
        -80
      ],
      "parameters": {
        "url": "https://webhook.site/ce41e056-c097-48c8-a096-9b876d3abbf7",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "response",
              "value": "={{ $json.output }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "d666cbb8-64bf-47b9-802a-d78ed5caa128",
      "name": "Notificateur Webhook pour le générateur de résumé",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1192,
        320
      ],
      "parameters": {
        "url": "https://webhook.site/ce41e056-c097-48c8-a096-9b876d3abbf7",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "response",
              "value": "={{ $json.response.text }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "fbd962be-5003-4039-b17e-fc0f16c2edf7",
      "name": "Attendre 30 secondes",
      "type": "n8n-nodes-base.wait",
      "position": [
        -120,
        345
      ],
      "webhookId": "f2aafd71-61f2-4aa4-8290-fa3bbe3d46b9",
      "parameters": {
        "amount": 30
      },
      "typeVersion": 1.1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "0f4279a9-1593-421e-825e-850cdae1bb97",
  "connections": {
    "4ab31927-5372-4a8f-83b5-355bcd6eaae2": {
      "main": [
        [
          {
            "node": "56a08c75-5122-483e-af0e-da1dd3e08eaf",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "fbd962be-5003-4039-b17e-fc0f16c2edf7",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "30382d3b-6ba8-4a96-93ce-9d22fc547793": {
      "main": [
        [
          {
            "node": "9a1e8d92-24a9-481c-b81f-5e37bca46fe2",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "16580d94-23fc-45d6-a282-640148b602d3": {
      "main": [
        [
          {
            "node": "ae6377e2-6ca0-4218-affd-d3c81c16d996",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "a4867b6f-fa91-4b83-befc-9ce97c10228c": {
      "main": [
        [
          {
            "node": "543d6087-c1d8-4f98-9b7c-fedbce9b0215",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "56a08c75-5122-483e-af0e-da1dd3e08eaf": {
      "main": [
        [
          {
            "node": "a4867b6f-fa91-4b83-befc-9ce97c10228c",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "3be8be65-38c2-4500-8676-925bdf7844ac": {
      "ai_document": [
        [
          {
            "node": "d07c83f0-5adf-4d5a-976a-b344aa8a853e",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "fbd962be-5003-4039-b17e-fc0f16c2edf7": {
      "main": [
        [
          {
            "node": "9a1e8d92-24a9-481c-b81f-5e37bca46fe2",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "9a1e8d92-24a9-481c-b81f-5e37bca46fe2": {
      "main": [
        [
          {
            "node": "4ab31927-5372-4a8f-83b5-355bcd6eaae2",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "543d6087-c1d8-4f98-9b7c-fedbce9b0215": {
      "main": [
        [
          {
            "node": "d07c83f0-5adf-4d5a-976a-b344aa8a853e",
            "type": "main",
            "index": 0
          },
          {
            "node": "0867753e-c3ab-473e-960a-344573cdde29",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "509519c2-efe9-4191-87af-9c5c782350d6": {
      "ai_languageModel": [
        [
          {
            "node": "d07c83f0-5adf-4d5a-976a-b344aa8a853e",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "d07c83f0-5adf-4d5a-976a-b344aa8a853e": {
      "main": [
        [
          {
            "node": "d666cbb8-64bf-47b9-802a-d78ed5caa128",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "be007904-269a-4823-bdd8-1ba5b4f69f5c": {
      "ai_languageModel": [
        [
          {
            "node": "543d6087-c1d8-4f98-9b7c-fedbce9b0215",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "ae6377e2-6ca0-4218-affd-d3c81c16d996": {
      "main": [
        [
          {
            "node": "30382d3b-6ba8-4a96-93ce-9d22fc547793",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "65b72f55-6424-487b-a622-879589d43344": {
      "ai_textSplitter": [
        [
          {
            "node": "3be8be65-38c2-4500-8676-925bdf7844ac",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "1424195e-79ec-48e8-9bb6-fbae072aca81": {
      "main": [
        [
          {
            "node": "16580d94-23fc-45d6-a282-640148b602d3",
            "type": "main",
            "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 - Ventes, Intelligence Artificielle, Marketing

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

Extraction, résumé et analyse des baisses de prix des produits Amazon avec Bright Data
utilisationBright DataetGoogle Geminiextraction、总结etanalyse亚马逊降价信息
Set
Wait
Merge
+
Set
Wait
Merge
26 NœudsRanjan Dailata
Intelligence Artificielle
Extraction et résumé des résultats de recherche Bing Copilot via Gemini AI et Bright Data
Extraire et résumer les résultats de recherche Bing Copilot avec Gemini AI et Bright Data
If
Set
Wait
+
If
Set
Wait
19 NœudsRanjan Dailata
Intelligence Artificielle
Scraping des données d'entreprises Indeed et agrégation avec Airtable, Bright Data et Google Gemini
Extraction et résumé de données Indeed avec Airtable, Bright Data et Google Gemini
If
Set
Wait
+
If
Set
Wait
19 NœudsRanjan Dailata
Ressources Humaines
Extraction d'informations sur les best-sellers de la catégorie électronique Amazon via Bright Data et Google Gemini
Extraire les informations des best-sellers électroniques Amazon avec Bright Data et Google Gemini
Set
Http Request
Manual Trigger
+
Set
Http Request
Manual Trigger
8 NœudsRanjan Dailata
Ventes
Extraction, résumé et analyse de sentiment de contenu de marque avec Bright Data
Extraire et analyser le contenu de marque avec Bright Data et Google Gemini
Set
Function
Http Request
+
Set
Function
Http Request
23 NœudsRanjan Dailata
Intelligence Artificielle
Extraction de données Google Trends, résumé généré avec Bright Data et Google Gemini
Extraction et génération de résumés de données Google Trends avec Bright Data et Gemini
Set
Gmail
Function
+
Set
Gmail
Function
16 NœudsRanjan Dailata
Ingénierie
Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds19
Catégorie3
Types de nœuds11
Description de la difficulté

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

Auteur
Ranjan Dailata

Ranjan Dailata

@ranjancse
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