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Google SERP-Tracker + Trends und Empfehlungen (mit Bright Data und Google Gemini)

Experte

Dies ist ein AI, Marketing-Bereich Automatisierungsworkflow mit 23 Nodes. Hauptsächlich werden Set, Code, HttpRequest, ConvertToFile, ManualTrigger und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. Google Suchergebnisseite-Tracking, Trendanalyse und Empfehlungen mit Bright Data und Google Gemini

Voraussetzungen
  • •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
  • •Google Gemini API Key

Verwendete Nodes (23)

Set
Code
StickyNote
HttpRequest
ConvertToFile
ManualTrigger
ReadWriteFile
SplitInBatches
ChainLlm
LmChatGoogleGemini
OutputParserStructured

Kategorie

Künstliche Intelligenz
Marketing
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
React Flow
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
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  "meta": {
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    "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": "Bei Klick auf 'Workflow testen'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -380,
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      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "44ede7e3-f552-4a70-a538-9d124a4df315",
      "name": "Eingabefelder setzen",
      "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"
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    {
      "id": "adb4eb44-ae8b-4a5e-bab8-afbf5b91e2a2",
      "name": "Bright Data Web-Request ausführen",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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      "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"
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      },
      "typeVersion": 4.2
    },
    {
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      "name": "Notiz4",
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      "position": [
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      ],
      "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
    },
    {
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      "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"
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      "typeVersion": 1
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        "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"
      },
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      "name": "Google Suchdatenextraktor",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
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      ],
      "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
    },
    {
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      "name": "Code",
      "type": "n8n-nodes-base.code",
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      ],
      "parameters": {
        "jsCode": "return $input.first().json.output.results"
      },
      "typeVersion": 2
    },
    {
      "id": "d3621752-4837-4e6f-82af-953e98901b24",
      "name": "Über Elemente iterieren",
      "type": "n8n-nodes-base.splitInBatches",
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      ],
      "parameters": {
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      },
      "typeVersion": 3
    },
    {
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      "name": "Trenddatenextraktor",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
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      ],
      "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",
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        "promptType": "define",
        "hasOutputParser": true
      },
      "retryOnFail": true,
      "typeVersion": 1.7
    },
    {
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      "name": "Google Gemini Chat-Modell für Google Suche",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
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      ],
      "parameters": {
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        "modelName": "models/gemini-2.0-flash-exp"
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          "name": "Google Gemini(PaLM) Api account"
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    },
    {
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      "name": "Strukturierter Output-Parser für Google Suche",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
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      ],
      "parameters": {
        "schemaType": "manual",
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      "typeVersion": 1.2
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      "parameters": {
        "text": "=Provide recommendations based on the title and spippet:\n\nTitle : {{ $json.title }}\nSnippet : {{ $json.snippet }}\n\nMake sure to return the data in JSON",
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        "promptType": "define",
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      },
      "retryOnFail": true,
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      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
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      ],
      "parameters": {
        "schemaType": "manual",
        "inputSchema": "{\n  \"$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"
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        "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"
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      ],
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      },
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    },
    {
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            "node": "7c89ac87-28b1-47f3-9f04-b2c05b1a483a",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    }
  }
}
Häufig gestellte Fragen

Wie verwende ich diesen Workflow?

Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.

Für welche Szenarien ist dieser Workflow geeignet?

Experte - Künstliche Intelligenz, Marketing

Ist es kostenpflichtig?

Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.

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Autor
Ranjan Dailata

Ranjan Dailata

@ranjancse

A Professional based out of India specialized in handling AI-powered automations. Contact me at ranjancse@gmail.com

Externe Links
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Kategorien

Multimodales KI
1540
Künstliche Intelligenz
1108
Content-Erstellung
695
KI-Zusammenfassung
516
Marketing
419
KI-Chatbot
251
Engineering
241
Marktforschung
203
Verschiedenes
193
Sonstiges
176
Vertrieb
162
IT-Betrieb
156
Dokumentenextraktion
147
KI RAG
146
Bausteine
144
Soziale Medien
137
Lead-Generierung
125
Persönliche Produktivität
117
DevOps
111
Personalwesen
101
Support
97
Lead-Pflege
87
Kundenbeziehungsmanagement
82
Finanzen
81
Produkt
77
Support-Chatbot
76
Design
70
Ticketverwaltung
67
Sicherheitsbetrieb
57
Rechnungsverarbeitung
53
Krypto-Handel
49
Dateiverwaltung
39
Projektmanagement
35
Internes Wiki
32

Kategorien: 34