Extraction, résumé et analyse de sentiment de contenu de marque avec Bright Data

Name: Extraction, résumé et analyse de sentiment de contenu de marque avec Bright Data
Rating: 4.5 (10 reviews)
Author: Ranjan Dailata

Avancé

Ceci est unAI, Marketingworkflow d'automatisation du domainecontenant 23 nœuds.Utilise principalement des nœuds comme Set, Function, HttpRequest, ManualTrigger, ReadWriteFile, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. Extraire et analyser le contenu de marque avec Bright Data et Google Gemini

Prérequis

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

Nœuds utilisés (23)

Catégorie

Intelligence Artificielle

Marketing

Aperçu du workflow

Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement

Lors du clic sur 'Tester le workflow'

Extracteur de Données Textuelles depuis Markdown

Définir l'URL et la Zone Bright Data

Analyseur de Sentiment IA avec réponse structurée

Lancer une Notification Webhook pour l'Extraction de Données Textuelles depuis Markdown

Lancer une Notification Webhook pour l'Analyseur de Sentiment IA

Modèle de Chat Google Gemini pour le Résumé

Modèle de Chat Google Gemini pour l'Extraction de Données

Modèle de Chat Google Gemini pour l'Analyseur de Sentiment

Lancer une Notification Webhook pour le Résumé

Exécuter la Requête Web Bright Data

Résumer le Contenu

Créer des données binaires pour les données textuelles

Créer des données binaires pour l'analyse de sentiment

Écrire le fichier d'analyse de sentiment IA sur le disque

Écrire le fichier textuel sur le disque

Créer des données binaires pour le résumé

Écrire le fichier de résumé sur le disque

React Flow

Exporter le workflow

Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow

{
  "id": "wTI77cpLkbxsRQat",
  "meta": {
    "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
    "templateCredsSetupCompleted": true
  },
  "name": "Brand Content Extract, Summarize & Sentiment Analysis with Bright Data",
  "tags": [
    {
      "id": "Kujft2FOjmOVQAmJ",
      "name": "Engineering",
      "createdAt": "2025-04-09T01:31:00.558Z",
      "updatedAt": "2025-04-09T01:31:00.558Z"
    },
    {
      "id": "ddPkw7Hg5dZhQu2w",
      "name": "AI",
      "createdAt": "2025-04-13T05:38:08.053Z",
      "updatedAt": "2025-04-13T05:38:08.053Z"
    }
  ],
  "nodes": [
    {
      "id": "646ef542-c601-4103-87e6-6fa9616d8c52",
      "name": "Lors du clic sur 'Tester le workflow'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        120,
        -560
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "00b4ce90-c4f2-41c4-8943-7db3d0c3f81a",
      "name": "Note autocollante",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        100,
        -320
      ],
      "parameters": {
        "width": 400,
        "height": 300,
        "content": "## Note\n\nThis workflow deals with the brand content extraction by utilizing the Bright Data Web Unlocker Product.\n\nThe Basic LLM Chain, Information Extraction, Summarization Chain are being used to demonstrate the usage of the N8N AI capabilities.\n\n**Please make sure to set the web URL of your interest within the \"Set URL and Bright Data Zone\" node and update the Webhook Notification URL**"
      },
      "typeVersion": 1
    },
    {
      "id": "5cc35b9b-7483-404e-96a3-1688f7b9078b",
      "name": "Note autocollante1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        540,
        -320
      ],
      "parameters": {
        "width": 480,
        "height": 300,
        "content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nBasic LLM Chain Data Extractor.\n\nInformation Extraction is being used for the handling the custom sentiment analysis with the structured response.\n\nSummarization Chain is being used for the creation of a concise summary of the extracted brand content."
      },
      "typeVersion": 1
    },
    {
      "id": "e15f32de-58d9-4ea6-9d5c-f63975d1090d",
      "name": "Extracteur de Données Textuelles depuis Markdown",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        1240,
        -440
      ],
      "parameters": {
        "text": "=You need to analyze the below markdown and convert to textual data. Please do not output with your own thoughts. Make sure to output with textual data only with no links, scripts, css etc.\n\n{{ $json.data }}",
        "messages": {
          "messageValues": [
            {
              "message": "You are a markdown expert"
            }
          ]
        },
        "promptType": "define"
      },
      "typeVersion": 1.6
    },
    {
      "id": "1462cd3b-b1d5-4ddf-9f1e-2b8f20faa19c",
      "name": "Définir l'URL et la Zone Bright Data",
      "type": "n8n-nodes-base.set",
      "position": [
        340,
        -560
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "3aedba66-f447-4d7a-93c0-8158c5e795f9",
              "name": "url",
              "type": "string",
              "value": "https://www.amazon.com/TP-Link-Dual-Band-Archer-BE230-HomeShield/dp/B0DC99N2T8"
            },
            {
              "id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba",
              "name": "zone",
              "type": "string",
              "value": "web_unlocker1"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "9783e878-e864-4632-9b89-d78567204053",
      "name": "Analyseur de Sentiment IA avec réponse structurée",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        1740,
        100
      ],
      "parameters": {
        "text": "=Perform the sentiment analysis on the below content and output with the structured information.\n\nHere's the content:\n\n{{ $('Perform Bright Data Web Request').item.json.data }}",
        "options": {
          "systemPromptTemplate": "You are an expert sentiment analyzer."
        },
        "schemaType": "manual",
        "inputSchema": "{\n  \"$schema\": \"http://json-schema.org/schema#\",\n  \"title\": \"SentimentAnalysisResponseArray\",\n  \"type\": \"array\",\n  \"items\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"sentiment\": {\n        \"type\": \"string\",\n        \"enum\": [\"Positive\", \"Neutral\", \"Negative\"],\n        \"description\": \"The overall sentiment of the content.\"\n      },\n      \"confidence_score\": {\n        \"type\": \"number\",\n        \"minimum\": 0,\n        \"maximum\": 1,\n        \"description\": \"Confidence score of the sentiment classification.\"\n      },\n      \"sentence\": {\n        \"type\": \"string\",\n        \"description\": \"A natural language statement explaining the sentiment.\"\n      }\n    },\n    \"required\": [\"sentiment\", \"confidence_score\", \"sentence\"],\n    \"additionalProperties\": false\n  }\n}\n"
      },
      "typeVersion": 1
    },
    {
      "id": "41352a53-7821-4247-905e-7995e1e6e382",
      "name": "Lancer une Notification Webhook pour l'Extraction de Données Textuelles depuis Markdown",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1720,
        -460
      ],
      "parameters": {
        "url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "summary",
              "value": "={{ $json.text }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "9717b5df-f148-4c8c-95d4-cb7c54837228",
      "name": "Lancer une Notification Webhook pour l'Analyseur de Sentiment IA",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        2120,
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      ],
      "parameters": {
        "url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "summary",
              "value": "={{ $json.output }}"
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          ]
        }
      },
      "typeVersion": 4.2
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    {
      "id": "88733b5f-cbb0-42a6-898c-7a1ccc94bef7",
      "name": "Modèle de Chat Google Gemini pour le Résumé",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1260,
        -780
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "560e3d33-61d8-4db6-b1df-89f4e915f3f1",
      "name": "Modèle de Chat Google Gemini pour l'Extraction de Données",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1320,
        -220
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "1b07608f-7174-46e8-af27-3abf100d9e3a",
      "name": "Modèle de Chat Google Gemini pour l'Analyseur de Sentiment",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1820,
        320
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "b6b6df94-d3fc-45ee-a339-5a368ea000eb",
      "name": "Lancer une Notification Webhook pour le Résumé",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1660,
        -820
      ],
      "parameters": {
        "url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "summary",
              "value": "={{ $json.response.text }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "f3e60ecd-5d07-4df0-a413-327b24db23ab",
      "name": "Exécuter la Requête Web Bright Data",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        560,
        -560
      ],
      "parameters": {
        "url": "https://api.brightdata.com/request",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "sendHeaders": true,
        "authentication": "genericCredentialType",
        "bodyParameters": {
          "parameters": [
            {
              "name": "zone",
              "value": "={{ $json.zone }}"
            },
            {
              "name": "url",
              "value": "={{ $json.url }}?product=unlocker&method=api"
            },
            {
              "name": "format",
              "value": "raw"
            },
            {
              "name": "data_format",
              "value": "markdown"
            }
          ]
        },
        "genericAuthType": "httpHeaderAuth",
        "headerParameters": {
          "parameters": [
            {}
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "kdbqXuxIR8qIxF7y",
          "name": "Header Auth account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "9030085f-5b05-41d9-94ee-668ee29df815",
      "name": "Résumer le Contenu",
      "type": "@n8n/n8n-nodes-langchain.chainSummarization",
      "position": [
        1240,
        -980
      ],
      "parameters": {
        "options": {
          "summarizationMethodAndPrompts": {
            "values": {
              "prompt": "Write a concise summary of the following:\n\n\n\"{text}\"\n\n"
            }
          }
        },
        "chunkingMode": "advanced"
      },
      "typeVersion": 2
    },
    {
      "id": "fe93c4a6-de3b-481d-ba6c-5f315f5279c4",
      "name": "Créer des données binaires pour les données textuelles",
      "type": "n8n-nodes-base.function",
      "position": [
        1720,
        -220
      ],
      "parameters": {
        "functionCode": "items[0].binary = {\n  data: {\n    data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n  }\n};\nreturn items;"
      },
      "typeVersion": 1
    },
    {
      "id": "0811c300-1302-49b5-a334-ac8f960a5b8c",
      "name": "Créer des données binaires pour l'analyse de sentiment",
      "type": "n8n-nodes-base.function",
      "position": [
        2120,
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      ],
      "parameters": {
        "functionCode": "items[0].binary = {\n  data: {\n    data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n  }\n};\nreturn items;"
      },
      "typeVersion": 1
    },
    {
      "id": "01d798b7-7c62-4240-9d5e-f2e67ca047ae",
      "name": "Écrire le fichier d'analyse de sentiment IA sur le disque",
      "type": "n8n-nodes-base.readWriteFile",
      "position": [
        2520,
        320
      ],
      "parameters": {
        "options": {},
        "fileName": "d:\\Brand-Content-Sentiment-Analysis.json",
        "operation": "write"
      },
      "typeVersion": 1
    },
    {
      "id": "f9faf283-ba8d-48e1-860e-2bb660cb9c1e",
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      "type": "n8n-nodes-base.readWriteFile",
      "position": [
        2100,
        -220
      ],
      "parameters": {
        "options": {},
        "fileName": "d:\\Brand-Content-Textual.json",
        "operation": "write"
      },
      "typeVersion": 1
    },
    {
      "id": "2c47c271-4456-4fc4-9a54-20784365a4af",
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      "type": "n8n-nodes-base.function",
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        "functionCode": "items[0].binary = {\n  data: {\n    data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n  }\n};\nreturn items;"
      },
      "typeVersion": 1
    },
    {
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      "type": "n8n-nodes-base.readWriteFile",
      "position": [
        1880,
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      ],
      "parameters": {
        "options": {},
        "fileName": "d:\\Brand-Content-Summary.json",
        "operation": "write"
      },
      "typeVersion": 1
    },
    {
      "id": "72938f7b-20c1-45d3-9348-878d6e0b8d60",
      "name": "Note autocollante2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1200,
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      ],
      "parameters": {
        "color": 4,
        "width": 1100,
        "height": 460,
        "content": "## Summarization"
      },
      "typeVersion": 1
    },
    {
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      "name": "Note autocollante3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        40
      ],
      "parameters": {
        "color": 6,
        "width": 1000,
        "height": 480,
        "content": "## Sentiment Analysis"
      },
      "typeVersion": 1
    },
    {
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      ],
      "parameters": {
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        "width": 1100,
        "height": 480,
        "content": "## Textual Data Extract"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "317a5d48-95c6-4425-a14a-6b2fec9e0802",
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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, 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.