Extraction de données Google Trends, résumé généré avec Bright Data et Google Gemini

Name: Extraction de données Google Trends, résumé généré avec Bright Data et Google Gemini
Rating: 4.5 (10 reviews)
Author: Ranjan Dailata

Avancé

Ceci est unEngineering, AI, Marketingworkflow d'automatisation du domainecontenant 16 nœuds.Utilise principalement des nœuds comme Set, Gmail, Function, HttpRequest, ManualTrigger, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. Extraction et génération de résumés de données Google Trends avec Bright Data et Gemini

Prérequis

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

Nœuds utilisés (16)

Catégorie

Ingénierie

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

Initier une notification Webhook pour l'extraction de données textuelles depuis Markdown

Modèle de chat Google Gemini pour l'extraction de données

Exécuter une requête web Bright Data

Créer des données binaires

Extracteur de données structurées

Synthétiser les tendances Google

Initier une notification Webhook pour la synthèse

Écrire le fichier sur le disque

Modèle de chat Google Gemini pour la synthèse

Modèle de chat Google Gemini pour l'extraction de données structurées

Envoyer la synthèse à Gmail

React Flow

Exporter le workflow

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

{
  "id": "9Or3kzIEI2tskRyR",
  "meta": {
    "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
    "templateCredsSetupCompleted": true
  },
  "name": "Google Trend Data Extract, Summarization with Bright Data & Google Gemini",
  "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": "29e6ce01-c42f-4155-add1-8a5cfff56967",
      "name": "Lors du clic sur 'Tester le workflow'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        200,
        -420
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "6abf0439-8286-4198-9b5e-226a7bf805dc",
      "name": "Note adhésive",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        200,
        -780
      ],
      "parameters": {
        "width": 400,
        "height": 300,
        "content": "## Note\n\nThis workflow deals with the structured data extraction by utilizing 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": "6443bdea-4577-4983-adb7-0f52d6eb3825",
      "name": "Note adhésive 1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        620,
        -780
      ],
      "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 structured data extraction.\n\nSummarization Chain is being used for building the summary."
      },
      "typeVersion": 1
    },
    {
      "id": "31280203-1ab1-4fb5-862f-e9c4f2969436",
      "name": "Extracteur de données textuelles depuis Markdown",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        860,
        -420
      ],
      "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": "80e40926-aff3-4512-ad1e-61b3741b2387",
      "name": "Définir l'URL et la zone Bright Data",
      "type": "n8n-nodes-base.set",
      "position": [
        420,
        -420
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "3aedba66-f447-4d7a-93c0-8158c5e795f9",
              "name": "url",
              "type": "string",
              "value": "https://trends.google.com/trends/explore?gprop=youtube&hl=en-US"
            },
            {
              "id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba",
              "name": "zone",
              "type": "string",
              "value": "web_unlocker1"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "a60b2ac6-42c9-42af-a7fe-9cf570fcd017",
      "name": "Initier une notification Webhook pour l'extraction de données textuelles depuis Markdown",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1320,
        -720
      ],
      "parameters": {
        "url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "content",
              "value": "={{ $json.text }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "c8f9b2ad-8e66-43d0-aeb5-3f5e202910d3",
      "name": "Modèle de chat Google Gemini pour l'extraction de données",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        948,
        -200
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "30d3b080-d35a-422d-990d-0df0d73b96a8",
      "name": "Exécuter une requête web Bright Data",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        640,
        -420
      ],
      "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": "18acbc0a-f0e2-4f5b-b98c-dec69c656a7e",
      "name": "Créer des données binaires",
      "type": "n8n-nodes-base.function",
      "position": [
        1980,
        -640
      ],
      "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": "1c386966-85ae-4b30-a485-259f1eb0727b",
      "name": "Extracteur de données structurées",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        1280,
        -420
      ],
      "parameters": {
        "text": "=Extract the Google Trend Data in JSON.\n\nHere's the content:\n\n {{ $json.text }}",
        "options": {},
        "schemaType": "manual",
        "inputSchema": "{\n\t\"type\": \"array\",\n\t\"properties\": {\n\t\t\"topics\": {\n\t\t\t\"type\": \"string\"\n\t\t},\"desc\": {\n\t\t\t\"type\": \"string\"\n\t\t}\n\t}\n}"
      },
      "typeVersion": 1
    },
    {
      "id": "aa7b5dd7-53c7-4197-b2e8-886832cad82e",
      "name": "Synthétiser les tendances Google",
      "type": "@n8n/n8n-nodes-langchain.chainSummarization",
      "position": [
        1760,
        -420
      ],
      "parameters": {
        "options": {},
        "chunkingMode": "advanced"
      },
      "typeVersion": 2
    },
    {
      "id": "25f0a115-ba3a-4ec6-8fe6-8e33e6302a2b",
      "name": "Initier une notification Webhook pour la synthèse",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        2200,
        -420
      ],
      "parameters": {
        "url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "content",
              "value": "={{ $json.response.text }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "50b55d73-5506-439c-8e82-e198f3b4f431",
      "name": "Écrire le fichier sur le disque",
      "type": "n8n-nodes-base.readWriteFile",
      "position": [
        2200,
        -640
      ],
      "parameters": {
        "options": {},
        "fileName": "d:\\google-trends.json",
        "operation": "write"
      },
      "typeVersion": 1
    },
    {
      "id": "a163f8d3-2b5c-48a5-8a1d-26c0caba6383",
      "name": "Modèle de chat Google Gemini pour la synthèse",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1860,
        -200
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "9e3db8e9-ad4c-4247-841e-1f5f4937b93c",
      "name": "Modèle de chat Google Gemini pour l'extraction de données structurées",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1380,
        -200
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "122d3269-e932-48e0-af01-e2c421650e16",
      "name": "Envoyer la synthèse à Gmail",
      "type": "n8n-nodes-base.gmail",
      "position": [
        2200,
        -160
      ],
      "webhookId": "a57ca2f7-42dc-4ee9-808d-85455bb7c12f",
      "parameters": {
        "sendTo": "ranjancse@gmail.com",
        "message": "={{ $json.response.text }}",
        "options": {},
        "subject": "Google Trends Summary"
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "WiMjt9PIpypF2dJF",
          "name": "Gmail account"
        }
      },
      "typeVersion": 2.1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "bc73fbca-1218-47bd-93cf-b308b424894d",
  "connections": {
    "18acbc0a-f0e2-4f5b-b98c-dec69c656a7e": {
      "main": [
        [
          {
            "node": "50b55d73-5506-439c-8e82-e198f3b4f431",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "50b55d73-5506-439c-8e82-e198f3b4f431": {
      "main": [
        []
      ]
    },
    "aa7b5dd7-53c7-4197-b2e8-886832cad82e": {
      "main": [
        [
          {
            "node": "25f0a115-ba3a-4ec6-8fe6-8e33e6302a2b",
            "type": "main",
            "index": 0
          },
          {
            "node": "122d3269-e932-48e0-af01-e2c421650e16",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "1c386966-85ae-4b30-a485-259f1eb0727b": {
      "main": [
        [
          {
            "node": "18acbc0a-f0e2-4f5b-b98c-dec69c656a7e",
            "type": "main",
            "index": 0
          },
          {
            "node": "aa7b5dd7-53c7-4197-b2e8-886832cad82e",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "80e40926-aff3-4512-ad1e-61b3741b2387": {
      "main": [
        [
          {
            "node": "30d3b080-d35a-422d-990d-0df0d73b96a8",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "30d3b080-d35a-422d-990d-0df0d73b96a8": {
      "main": [
        [
          {
            "node": "31280203-1ab1-4fb5-862f-e9c4f2969436",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "29e6ce01-c42f-4155-add1-8a5cfff56967": {
      "main": [
        [
          {
            "node": "80e40926-aff3-4512-ad1e-61b3741b2387",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "31280203-1ab1-4fb5-862f-e9c4f2969436": {
      "main": [
        [
          {
            "node": "a60b2ac6-42c9-42af-a7fe-9cf570fcd017",
            "type": "main",
            "index": 0
          },
          {
            "node": "1c386966-85ae-4b30-a485-259f1eb0727b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "c8f9b2ad-8e66-43d0-aeb5-3f5e202910d3": {
      "ai_languageModel": [
        [
          {
            "node": "31280203-1ab1-4fb5-862f-e9c4f2969436",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "a163f8d3-2b5c-48a5-8a1d-26c0caba6383": {
      "ai_languageModel": [
        [
          {
            "node": "aa7b5dd7-53c7-4197-b2e8-886832cad82e",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "9e3db8e9-ad4c-4247-841e-1f5f4937b93c": {
      "ai_languageModel": [
        [
          {
            "node": "1c386966-85ae-4b30-a485-259f1eb0727b",
            "type": "ai_languageModel",
            "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 - Ingénierie, 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.