Rastreador de SERP de Google + Tendencias y recomendaciones (usando Bright Data y Google Gemini)

Name: Rastreador de SERP de Google + Tendencias y recomendaciones (usando Bright Data y Google Gemini)
Rating: 4.5 (10 reviews)
Author: Ranjan Dailata

Avanzado

Este es unAI, Marketingflujo de automatización del dominio deautomatización que contiene 23 nodos.Utiliza principalmente nodos como Set, Code, HttpRequest, ConvertToFile, ManualTrigger, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Seguimiento, análisis de tendencias y recomendaciones de páginas de resultados de búsqueda de Google con Bright Data y Gemini

Requisitos previos

•Pueden requerirse credenciales de autenticación para la API de destino
•Clave de API de Google Gemini

Nodos utilizados (23)

OutputParserStructured

Categoría

Inteligencia Artificial

Marketing

Vista previa del flujo de trabajo

Visualización de las conexiones entre nodos, con soporte para zoom y panorámica

Al hacer clic en 'Probar flujo de trabajo'

Establecer campos de entrada

Ejecutar solicitud web de Bright Data

Google Extractor de Datos de Búsqueda

Código

Iterar sobre elementos

Extractor de Datos de Tendencias

Google Modelo de Chat Gemini para Búsqueda Google

Analizador de Salida Estructurada para Búsqueda Google

Google Modelo de Chat Gemini para Datos de Tendencia

Extractor de Datos de Recomendación

Google Modelo de Chat Gemini para Recomendación

Analizador de Salida Estructurada para Recomendación

Analizador de Salida Estructurada para Datos de Tendencia

Código para Recomendaciones

Código para Tendencias

Convertir a archivo para Tendencias

Convertir a archivo para Recomendaciones

Escribir archivo csv de tendencias en disco

Escribir archivo csv de recomendaciones en disco

React Flow

Exportar flujo de trabajo

Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo

{
  "id": "77EZJT0bcpkDEigw",
  "meta": {
    "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
    "templateCredsSetupCompleted": true
  },
  "name": "Google SERP Tracker + Trends and Recommendations 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": "ZOwtAMLepQaGW76t",
      "name": "Building Blocks",
      "createdAt": "2025-04-13T15:23:40.462Z",
      "updatedAt": "2025-04-13T15:23:40.462Z"
    },
    {
      "id": "ddPkw7Hg5dZhQu2w",
      "name": "AI",
      "createdAt": "2025-04-13T05:38:08.053Z",
      "updatedAt": "2025-04-13T05:38:08.053Z"
    }
  ],
  "nodes": [
    {
      "id": "89c87a2f-ee34-47e4-8efd-a4a95d02b052",
      "name": "Al hacer clic en 'Probar flujo de trabajo'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -380,
        -160
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "44ede7e3-f552-4a70-a538-9d124a4df315",
      "name": "Establecer campos de entrada",
      "type": "n8n-nodes-base.set",
      "position": [
        -120,
        -160
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "0ac91db2-9848-40d4-b942-cd7288597ded",
              "name": "url",
              "type": "string",
              "value": "https://www.google.com/search"
            },
            {
              "id": "7142f0df-3c68-4ce0-8e9b-25101db31312",
              "name": "webhook_notification_url",
              "type": "string",
              "value": "https://webhook.site/c9118da2-1c54-460f-a83a-e5131b7098db"
            },
            {
              "id": "f5b7e10d-bcd8-439c-8e84-ba4af11f2cd2",
              "name": "search",
              "type": "string",
              "value": "best crm for the year 2025"
            },
            {
              "id": "3a0bcec2-ec6d-457f-87a5-b73f4d826b2a",
              "name": "zone",
              "type": "string",
              "value": "web_unlocker1"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "adb4eb44-ae8b-4a5e-bab8-afbf5b91e2a2",
      "name": "Ejecutar solicitud web de Bright Data",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        120,
        -160
      ],
      "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": "={{ $json.url }}?q={{ encodeURI($json.search) }}"
            },
            {
              "name": "format",
              "value": "raw"
            }
          ]
        },
        "genericAuthType": "httpHeaderAuth",
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "kdbqXuxIR8qIxF7y",
          "name": "Header Auth account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "97f0a53c-81cb-4593-afde-d770547b88d0",
      "name": "Nota adhesiva 4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        60,
        -440
      ],
      "parameters": {
        "color": 5,
        "width": 440,
        "height": 240,
        "content": "## LLM Usages\n\nGoogle Gemini LLM is being utilized for the structured data extraction handling."
      },
      "typeVersion": 1
    },
    {
      "id": "ca10a555-a4ef-4a2b-8ad1-9abf0e02e2d8",
      "name": "Nota adhesiva 5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
        "color": 7,
        "width": 400,
        "height": 340,
        "content": "## Logo\n\n\n![logo](https://images.seeklogo.com/logo-png/43/1/brightdata-logo-png_seeklogo-439974.png)\n"
      },
      "typeVersion": 1
    },
    {
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      "position": [
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      "parameters": {
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        "height": 240,
        "content": "## Note\n\nDeals with the Google SERP Tracker by utilizing the Bright Data and Google Gemini LLM for transforming the profile into a structured JSON response.\n\n**Please make sure to set the input fields node with the filtering criteria, Bright Data zone name, Webhook notification URL**\n\nTest Webhook using - https://webhook.site/\n"
      },
      "typeVersion": 1
    },
    {
      "id": "f9b7f382-4a5a-4ddf-a62c-ee83af913a21",
      "name": "Google Extractor de Datos de Búsqueda",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        340,
        -160
      ],
      "parameters": {
        "text": "=Extract the following:\n\nRank (position in list)\n\nTitle\n\nURL\n\nSnippet/description\n\nType (organic/ads/map)\n\n{{ $json.data }}\n\nMake sure to return the data in JSON",
        "batching": {},
        "promptType": "define",
        "hasOutputParser": true
      },
      "retryOnFail": true,
      "typeVersion": 1.7
    },
    {
      "id": "f10a9a84-3e4c-4ac0-957e-7fc7308c9fda",
      "name": "Código",
      "type": "n8n-nodes-base.code",
      "position": [
        700,
        -160
      ],
      "parameters": {
        "jsCode": "return $input.first().json.output.results"
      },
      "typeVersion": 2
    },
    {
      "id": "d3621752-4837-4e6f-82af-953e98901b24",
      "name": "Iterar sobre elementos",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
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      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "2f607774-34cf-4b0e-9384-f7214e0896e5",
      "name": "Extractor de Datos de Tendencias",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        1180,
        -140
      ],
      "parameters": {
        "text": "=Extract the trends based on the title and spippet:\n\nTitle : {{ $json.title }}\nSnippet : {{ $json.snippet }}\n\nMake sure to return the data in JSON",
        "batching": {},
        "promptType": "define",
        "hasOutputParser": true
      },
      "retryOnFail": true,
      "typeVersion": 1.7
    },
    {
      "id": "551b645b-99d7-4824-ad69-290ea8105689",
      "name": "Google Modelo de Chat Gemini para Búsqueda Google",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        340,
        20
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "9bd32bc8-9452-4e6a-ac54-e3a1317d196e",
      "name": "Analizador de Salida Estructurada para Búsqueda Google",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        520,
        20
      ],
      "parameters": {
        "schemaType": "manual",
        "inputSchema": "{\n  \"$schema\": \"http://json-schema.org/schema#\",\n  \"title\": \"Search Results Schema\",\n  \"type\": \"object\",\n  \"properties\": {\n    \"results\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"object\",\n        \"required\": [\"rank\", \"title\", \"type\"],\n        \"properties\": {\n          \"rank\": {\n            \"type\": \"integer\",\n            \"minimum\": 1\n          },\n          \"title\": {\n            \"type\": \"string\"\n          },\n          \"url\": {\n            \"type\": \"string\",\n            \"format\": \"uri\"\n          },\n          \"snippet\": {\n            \"type\": \"string\"\n          },\n          \"type\": {\n            \"type\": \"string\",\n            \"enum\": [\"organic\", \"paid\", \"featured\"]\n          }\n        },\n        \"additionalProperties\": false\n      }\n    }\n  },\n  \"required\": [\"results\"],\n  \"additionalProperties\": false\n}\n"
      },
      "typeVersion": 1.2
    },
    {
      "id": "06d01c21-4054-4879-a060-70c1a1bac559",
      "name": "Google Modelo de Chat Gemini para Datos de Tendencia",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1180,
        40
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "7c89ac87-28b1-47f3-9f04-b2c05b1a483a",
      "name": "Extractor de Datos de Recomendación",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        1180,
        -560
      ],
      "parameters": {
        "text": "=Provide recommendations based on the title and spippet:\n\nTitle : {{ $json.title }}\nSnippet : {{ $json.snippet }}\n\nMake sure to return the data in JSON",
        "batching": {},
        "promptType": "define",
        "hasOutputParser": true
      },
      "retryOnFail": true,
      "typeVersion": 1.7
    },
    {
      "id": "f1f9cfac-28d0-40a9-9287-b11689570b53",
      "name": "Google Modelo de Chat Gemini para Recomendación",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1180,
        -380
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "c008d472-0982-4970-a017-73784c6916e7",
      "name": "Analizador de Salida Estructurada para Recomendación",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        1360,
        -380
      ],
      "parameters": {
        "schemaType": "manual",
        "inputSchema": "{\n  \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n  \"title\": \"CRM Recommendations Schema\",\n  \"type\": \"object\",\n  \"properties\": {\n    \"recommendations\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"type\": {\n            \"type\": \"string\",\n            \"enum\": [\"Software\", \"Action\", \"Consideration\", \"Research\", \"Focus\"],\n            \"description\": \"The category or nature of the recommendation\"\n          },\n          \"name\": {\n            \"type\": \"string\",\n            \"description\": \"The name\"\n          },\n          \"description\": {\n            \"type\": \"string\",\n            \"description\": \"Explanation or reason behind the recommendation\"\n          },\n          \"reason\": {\n            \"type\": \"string\",\n            \"description\": \"A detailed reason for recommendation (mainly used for Software type)\"\n          }\n        }\n      }\n    }\n  },\n  \"required\": [\"recommendations\"]\n}\n"
      },
      "typeVersion": 1.2
    },
    {
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      "name": "Analizador de Salida Estructurada para Datos de Tendencia",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        1360,
        40
      ],
      "parameters": {
        "schemaType": "manual",
        "inputSchema": "{\n  \"$schema\": \"https://json-schema.org/schema\",\n  \"title\": \"Trends Schema\",\n  \"type\": \"object\",\n  \"properties\": {\n    \"trends\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"trend\": {\n            \"type\": \"string\",\n            \"description\": \"The name or label of the CRM trend\"\n          },\n          \"description\": {\n            \"type\": \"string\",\n            \"description\": \"A short explanation of the trend\"\n          }\n        },\n        \"required\": [\"trend\", \"description\"],\n        \"additionalProperties\": false\n      }\n    }\n  },\n  \"required\": [\"trends\"],\n  \"additionalProperties\": false\n}\n"
      },
      "typeVersion": 1.2
    },
    {
      "id": "6b6bb9f4-2836-469d-b81b-90cddf5d0d6c",
      "name": "Código para Recomendaciones",
      "type": "n8n-nodes-base.code",
      "position": [
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        -560
      ],
      "parameters": {
        "jsCode": "return $input.first().json.output.recommendations"
      },
      "typeVersion": 2
    },
    {
      "id": "cb71a4e9-55ff-4194-8e5c-be96f3971a4e",
      "name": "Código para Tendencias",
      "type": "n8n-nodes-base.code",
      "position": [
        1600,
        -140
      ],
      "parameters": {
        "jsCode": "return $input.first().json.output.trends"
      },
      "typeVersion": 2
    },
    {
      "id": "bfdac6af-7fa9-42d9-8931-029291202a35",
      "name": "Convertir a archivo para Tendencias",
      "type": "n8n-nodes-base.convertToFile",
      "position": [
        1840,
        -140
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "28d26067-622b-4115-ab25-79bf8802acdd",
      "name": "Convertir a archivo para Recomendaciones",
      "type": "n8n-nodes-base.convertToFile",
      "position": [
        1820,
        -560
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "0fb2daca-d998-432e-901a-001f750822db",
      "name": "Escribir archivo csv de tendencias en disco",
      "type": "n8n-nodes-base.readWriteFile",
      "position": [
        2080,
        -140
      ],
      "parameters": {
        "options": {},
        "fileName": "=d:\\Google_SERP_Trends_Response_{{ new Date().toISOString().replace(/[:.]/g, '-')}}.csv",
        "operation": "write"
      },
      "typeVersion": 1
    },
    {
      "id": "b0164de9-50a4-4aba-a680-a392eaba5765",
      "name": "Escribir archivo csv de recomendaciones en disco",
      "type": "n8n-nodes-base.readWriteFile",
      "position": [
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      ],
      "parameters": {
        "options": {},
        "fileName": "=d:\\Google_SERP_Recommendations_Response_{{ new Date().toISOString().replace(/[:.]/g, '-')}}.csv",
        "operation": "write"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "7842a7f6-ab16-42c6-a209-1f313ed15376",
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    },
    "9bd32bc8-9452-4e6a-ac54-e3a1317d196e": {
      "ai_outputParser": [
        [
          {
            "node": "f9b7f382-4a5a-4ddf-a62c-ee83af913a21",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "f1f9cfac-28d0-40a9-9287-b11689570b53": {
      "ai_languageModel": [
        [
          {
            "node": "7c89ac87-28b1-47f3-9f04-b2c05b1a483a",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "c008d472-0982-4970-a017-73784c6916e7": {
      "ai_outputParser": [
        [
          {
            "node": "7c89ac87-28b1-47f3-9f04-b2c05b1a483a",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    }
  }
}

Preguntas frecuentes

¿Cómo usar este flujo de trabajo?

Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.

¿En qué escenarios es adecuado este flujo de trabajo?

Avanzado - Inteligencia Artificial, Marketing

¿Es de pago?

Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.