Boletín de noticias por correo electrónico de Bright Data con palabras clave y resumen de IA

Intermedio

Este es unAI, Marketingflujo de automatización del dominio deautomatización que contiene 13 nodos.Utiliza principalmente nodos como If, Code, Wait, Markdown, EmailSend, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Boletín de noticias de correo electrónico con palabras clave de Bright Data y resumen de IA

Requisitos previos
  • Pueden requerirse credenciales de autenticación para la API de destino
  • Clave de API de Google Gemini
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
  "meta": {
    "instanceId": "71eb5622cf8abac565805540c0900dbae437dddbda45bf1b87bf3bfeea26393c"
  },
  "nodes": [
    {
      "id": "78600483-749e-452c-a1e0-cde275f2656c",
      "name": "Progreso de Snapshot",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        220,
        0
      ],
      "parameters": {
        "url": "=https://api.brightdata.com/datasets/v3/progress/{{ $('HTTP Request- Post API call to Bright Data').item.json.snapshot_id }}",
        "options": {},
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "Bearer YOUR_API_KEY"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "2dbd6ad2-bcd7-4753-a150-6a4bff419d76",
      "name": "HTTP Solicitud - Llamada POST a API en Bright Data",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -280,
        260
      ],
      "parameters": {
        "url": "https://api.brightdata.com/datasets/v3/trigger",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "sendQuery": true,
        "sendHeaders": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "keyword",
              "value": "={{ $json[\"Keyword\"] }}"
            },
            {
              "name": "sort",
              "value": "relevance"
            }
          ]
        },
        "queryParameters": {
          "parameters": [
            {
              "name": "dataset_id",
              "value": "gd_lyptx9h74wtlvpnfu"
            },
            {
              "name": "type",
              "value": "discover_new"
            },
            {
              "name": "discover_by",
              "value": "keyword"
            },
            {
              "name": "include_errors",
              "value": "true"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "Bearer YOUR_API_KEY"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "dfd7a841-be32-4ea4-954c-95e24b6bb46a",
      "name": "Espera - Sondeo a Bright Data",
      "type": "n8n-nodes-base.wait",
      "position": [
        0,
        0
      ],
      "webhookId": "8005a2b3-2195-479e-badb-d90e4240e699",
      "parameters": {
        "amount": 15
      },
      "executeOnce": false,
      "typeVersion": 1.1
    },
    {
      "id": "f9f032aa-5128-4705-94ab-af93965159fb",
      "name": "Si - Verificar estado de Snapshot - si los datos están listos o no",
      "type": "n8n-nodes-base.if",
      "position": [
        440,
        0
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "7932282b-71bb-4bbb-ab73-4978e554de7e",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.status }}",
              "rightValue": "running"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "e5b658cd-c7df-4b17-ac1d-378cd58a1197",
      "name": "HTTP Solicitud - Obtener datos de Bright Data",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        660,
        0
      ],
      "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 YOUR_API_KEY"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "d2aa4201-f58c-4d63-81ae-ebb721297c31",
      "name": "Cuando el Usuario Completa el Formulario",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        -500,
        260
      ],
      "webhookId": "41d0bffa-f5ca-4df7-b757-ca5a1e472b8a",
      "parameters": {
        "options": {
          "ignoreBots": true
        },
        "formTitle": "Search from Reuters by keyword",
        "formFields": {
          "values": [
            {
              "fieldLabel": "Keyword",
              "placeholder": "e.g. \"energy shutdown\"",
              "requiredField": true
            }
          ]
        },
        "responseMode": "lastNode",
        "formDescription": "Provide a keyword to search and summarize relevant news"
      },
      "typeVersion": 2.2
    },
    {
      "id": "f45da408-0497-45ad-ace6-bef91660f8b3",
      "name": "Nota Adhesiva",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -340,
        440
      ],
      "parameters": {
        "height": 220,
        "content": "## Note\nYou can customize the sorting filter to \"newest\" or \"oldest\" if you prefer. However, it's recommended to keep it set to \"relevance\" - the results will be sorted by the most recent founding dates in the next steps anyway."
      },
      "typeVersion": 1
    },
    {
      "id": "9038d986-d23a-4f83-87c0-9ce213aa7021",
      "name": "Código - Analizar y Limpiar Datos JSON",
      "type": "n8n-nodes-base.code",
      "position": [
        880,
        0
      ],
      "parameters": {
        "language": "python",
        "pythonCode": "from datetime import datetime\n\nall_news = _input.all()\n\nvalid_news = []\nfor item in all_news:\n    news = item.json\n    date_str = news.get(\"publication_date\")\n    try:\n        date = datetime.strptime(date_str, \"%Y-%m-%dT%H:%M:%S.%fZ\")\n        valid_news.append((date, news))\n    except (TypeError, ValueError):\n        continue\n\nsorted_news = sorted(valid_news, key=lambda x: x[0], reverse=True)\n\ncleaned = []\nfor _, c in sorted_news[:10]:\n    topics = c.get(\"topics\") or []\n\n    cleaned.append({\n        \"headline\": c.get(\"headline\"),\n        \"url\": c.get(\"url\"),\n        \"author\": c.get(\"author\"),\n        \"publication_date\": c.get(\"publication_date\"),\n        \"type\": c.get(\"type\"),\n        \"content\": c.get(\"content\"),\n        \"keyword\": c.get(\"keyword\"),\n        \"topics\": \", \".join(topics)\n    })\n\nreturn [{\n    \"json\": {\n        \"news\": cleaned\n    }\n}]\n"
      },
      "typeVersion": 2,
      "alwaysOutputData": true
    },
    {
      "id": "21f43041-f540-4158-a23d-648921ac3cac",
      "name": "Google Gemini Modelo de Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        660,
        440
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash"
      },
      "typeVersion": 1
    },
    {
      "id": "90b674c1-c8f4-4256-b27c-999ea1d93ee6",
      "name": "Informe por Correo",
      "type": "n8n-nodes-base.emailSend",
      "position": [
        1480,
        260
      ],
      "webhookId": "1e6e9588-2bc6-4f05-8531-2d7ca8348d0c",
      "parameters": {
        "html": "={{ $json.html }}",
        "options": {},
        "subject": "=Your N8N report about Reuters News by keyword: {{ $('When User Completes Form').first().json['Keyword']}}",
        "toEmail": "your-mail@gmail.com",
        "fromEmail": "n8n-mail@example.com"
      },
      "typeVersion": 2.1
    },
    {
      "id": "53fc100e-a4ee-4d91-9b75-af96b6ba0fcd",
      "name": "Markdown",
      "type": "n8n-nodes-base.markdown",
      "position": [
        1040,
        260
      ],
      "parameters": {
        "mode": "markdownToHtml",
        "options": {},
        "markdown": "={{ $json.text }}",
        "destinationKey": "html"
      },
      "typeVersion": 1
    },
    {
      "id": "ba02c4c2-5b52-409b-9d83-d69ab9d762fd",
      "name": "Código - Construir HTML",
      "type": "n8n-nodes-base.code",
      "position": [
        1260,
        260
      ],
      "parameters": {
        "jsCode": "const rawHtml = $json.html;\n\nreturn [{\n  json: {\n    html: `\n      <html>\n        <head>\n          <style>\n            body { font-family: Arial, sans-serif; line-height: 1.5; font-size: 15px; }\n            h1, h2, h3 { color: #333; }\n            a { color: #1a73e8; text-decoration: none; }\n            ul { padding-left: 20px; }\n            li { margin-bottom: 6px; }\n          </style>\n        </head>\n        <body>\n          ${rawHtml}\n        </body>\n      </html>\n    `\n  }\n}];"
      },
      "typeVersion": 2
    },
    {
      "id": "a3241735-79ca-49ca-aebb-8b17b3ef9ad4",
      "name": "Google Gemini - Análisis de Resumen",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        660,
        260
      ],
      "parameters": {
        "text": "={{$json}}",
        "messages": {
          "messageValues": [
            {
              "message": "=You are tasked with creating a news briefing. I will supply latest news articles about [keyword] which is interesting to user.\n\nYour goal is to produce a consolidated summary that captures the essence of these reports. Focus on:\n- What are the most important events, announcements, or findings?\n- Are there any recurring themes or common threads across the articles?\n- What is the overall sentiment or implication, if discernible from the facts presented?\n\nBe sure that every news article you are analyzing is closely related to [keyword]. Otherwise, skip it.\nProvide a brief, integrated summary.\nAlways include date range (from - to) about these news and use source links when mention exact news topics.\nThe [keyword] user requested initially: {{ $('When User Completes Form').first().json['Keyword']}}.\nDon't start your answer with 'Okay'."
            }
          ]
        },
        "promptType": "define"
      },
      "typeVersion": 1.6
    }
  ],
  "pinData": {},
  "connections": {
    "53fc100e-a4ee-4d91-9b75-af96b6ba0fcd": {
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    },
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    },
    "21f43041-f540-4158-a23d-648921ac3cac": {
      "ai_languageModel": [
        [
          {
            "node": "a3241735-79ca-49ca-aebb-8b17b3ef9ad4",
            "type": "ai_languageModel",
            "index": 0
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  }
}
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?

Intermedio - 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.

Información del flujo de trabajo
Nivel de dificultad
Intermedio
Número de nodos13
Categoría2
Tipos de nodos10
Descripción de la dificultad

Adecuado para usuarios con experiencia intermedia, flujos de trabajo de complejidad media con 6-15 nodos

Enlaces externos
Ver en n8n.io

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Categorías

Categorías: 34