8
n8n 한국어amn8n.com

랜딩 페이지 분석기

중급

이것은AI Summarization, Multimodal AI분야의자동화 워크플로우로, 10개의 노드를 포함합니다.주로 Form, Markdown, FormTrigger, HttpRequest, Agent 등의 노드를 사용하며. 랜딩 페이지 분석 대리인

사전 요구사항
  • 대상 API의 인증 정보가 필요할 수 있음
  • Google Gemini API Key
워크플로우 미리보기
노드 연결 관계를 시각적으로 표시하며, 확대/축소 및 이동을 지원합니다
워크플로우 내보내기
다음 JSON 구성을 복사하여 n8n에 가져오면 이 워크플로우를 사용할 수 있습니다
{
  "id": "YYiCCvfGPMJ8gAnt",
  "meta": {
    "instanceId": "061ca141d020a6e1355b8c7fe05f92a699e37e92079ad2e150a506ee8bbe9e11",
    "templateCredsSetupCompleted": true
  },
  "name": "Landing Page Analyzer",
  "tags": [],
  "nodes": [
    {
      "id": "950a73f5-aecb-4844-add2-c244f0a946a7",
      "name": "폼 제출 시",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        1008,
        128
      ],
      "webhookId": "57604090-1df3-41ca-8d55-1002798a1721",
      "parameters": {
        "options": {
          "appendAttribution": false
        },
        "formTitle": "Landing Page Optimizer",
        "formFields": {
          "values": [
            {
              "fieldLabel": "Your Landing Page Url",
              "placeholder": "https://example.anything",
              "requiredField": true
            }
          ]
        },
        "formDescription": "Make Your Page Convert Like a Top 1% Funnel"
      },
      "typeVersion": 2.2
    },
    {
      "id": "fcede911-8351-4b6b-9daa-3a6fa9d68473",
      "name": "HTTP 요청",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1232,
        128
      ],
      "parameters": {
        "url": "={{ $json['Your Landing Page Url'] }}",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "3f28ef06-fdbf-4488-8136-7826a1a0293a",
      "name": "마크다운",
      "type": "n8n-nodes-base.markdown",
      "position": [
        1440,
        128
      ],
      "parameters": {
        "html": "={{ $json.data }}",
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "1254e722-ebdc-4421-af8c-fa61e3096944",
      "name": "AI 에이전트",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1648,
        128
      ],
      "parameters": {
        "text": "={{ $json.data }}",
        "options": {
          "systemMessage": "=You are a world-class Conversion Rate Optimization (CRO) expert.\n\nYour mission is to analyze my landing page and return with the most important actions the business should take to improve conversions. No fluff, no filler — just what matters most.\n\n🎯 YOUR RESPONSE MUST FOLLOW THIS STRUCTURE:\n\n1) Each item should start with a strong action verb (e.g., Replace, Add, Remove, Rewrite, Rearrange, Clarify, Simplify, Make visible, etc.)\n\n2) Be specific. Tell me exactly what to do — what headline to change, what section to remove, what to add and where.\n\n3) Every recommendation must be based on the actual landing page content. No generic advice.\n\n4) Prioritize modern, high-impact CRO ideas relevant to 2024 digital audiences.\n\n5) Keep it easy to understand and implement. No heavy dev work required.\n\n6) Focus on conversion levers: clarity, relevance, trust, desire, urgency, and friction reduction.\n"
        },
        "promptType": "define"
      },
      "typeVersion": 2
    },
    {
      "id": "0d7250e0-8b9d-4626-a748-f7c056e2999b",
      "name": "폼",
      "type": "n8n-nodes-base.form",
      "position": [
        2320,
        128
      ],
      "webhookId": "a80f45af-8f8a-480b-922b-264691668bb7",
      "parameters": {
        "options": {},
        "operation": "completion",
        "completionTitle": "Here are 5 Things You Should Improve 🧐",
        "completionMessage": "=1. {{ $json.output['Improvement Tip 1'] }}\n\n2. {{ $json.output['Improvement Tip 2'] }}\n\n3. {{ $json.output['Improvement Tip 3'] }}\n\n4. {{ $json.output['Improvement Tip 4'] }} \n\n5. {{ $json.output['Improvement Tip 5'] }} "
      },
      "typeVersion": 1
    },
    {
      "id": "1db518d9-3c1f-4c20-84f4-167684f959e9",
      "name": "정보 추출기",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        1984,
        128
      ],
      "parameters": {
        "text": "={{ $json.output }}",
        "options": {},
        "attributes": {
          "attributes": [
            {
              "name": "Improvement Tip 1",
              "description": "=The 1st most important improvement tip without any symbol, add relevent Emoji"
            },
            {
              "name": "Improvement Tip 2",
              "description": "The 2nd most important improvement tip without any symbol, add relevant Emoji"
            },
            {
              "name": "Improvement Tip 3",
              "description": "The 3rd most important improvement tip without any symbol, add relevant Emoji"
            },
            {
              "name": "Improvement Tip 4",
              "description": "The 4th most important improvement tip without any symbol, add relevant Emoji"
            },
            {
              "name": "Improvement Tip 5",
              "description": "The 5th most important improvement tip without any symbol, add relevant Emoji"
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "08cf9cfe-7328-4de6-bd33-c0e2295c9e35",
      "name": "스티커 노트",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        0,
        0
      ],
      "parameters": {
        "color": 6,
        "width": 840,
        "height": 600,
        "content": "# 🛠 Setup Guide  \n## **Author:** [Rakin Jakaria](https://www.youtube.com/@rakinjakaria)\n\nFollow these steps to get your Landing Page Analyzer workflow up and running: \n\n1. **Configure Google Gemini API Credentials**  \n   - Navigate to the \"Google Gemini Chat Model\" node in your workflow.  \n   - Ensure your Google Gemini (PaLM) API credentials are properly set up in your N8N instance.  \n   - If you don't have an API key, obtain one from [Google AI Studio](https://aistudio.google.com/apikey).  \n\n2. **Test the Webhook Form (Optional)**  \n   - The workflow starts with a form submission trigger.  \n   - If you plan to embed this in a website or app, ensure the webhook URL is correctly configured and accessible.  \n\n3. **Verify HTTP Request Node**  \n   - The workflow fetches the landing page content via HTTP.  \n   - Ensure the target URLs are publicly accessible and not behind authentication.  \n\n4. **Review AI Agent Instructions**  \n   - The AI Agent node includes a system prompt for CRO analysis.  \n   - Customize the prompt if needed to align with your specific goals or industry.  \n\nOnce these steps are complete, your Landing Page Analyzer is ready to use! Submit a URL via the form to receive actionable CRO improvements. 🚀"
      },
      "typeVersion": 1
    },
    {
      "id": "938a192a-8474-4bd6-8471-e0617cdf9c74",
      "name": "스티커 노트1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        944,
        0
      ],
      "parameters": {
        "color": 6,
        "width": 1620,
        "height": 580,
        "content": "## Landing Page Analyzer"
      },
      "typeVersion": 1
    },
    {
      "id": "18698e25-23ce-4ca2-834c-e7cdd0521588",
      "name": "Gemini 2.5 플래시",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1808,
        432
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "googlePalmApi": {
          "id": "uIFmTaGcf3XXfitE",
          "name": "Google Gemini(PaLM) Api account 2"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "2f1293bc-cfef-425f-9988-161836bcf8b2",
      "name": "스티커 노트3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        208,
        -528
      ],
      "parameters": {
        "color": 6,
        "width": 480,
        "height": 464,
        "content": "## Start here: Step-by Step Youtube Tutorial :star:\n[![I Built an Auto Lead Finder AI Agent](https://img.youtube.com/vi/gsFl25jw-7I/sddefault.jpg)](https://youtu.be/gsFl25jw-7I)"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "0f6ecd02-d6ef-4d36-a122-4f8f07852ecd",
  "connections": {
    "1254e722-ebdc-4421-af8c-fa61e3096944": {
      "main": [
        [
          {
            "node": "1db518d9-3c1f-4c20-84f4-167684f959e9",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "3f28ef06-fdbf-4488-8136-7826a1a0293a": {
      "main": [
        [
          {
            "node": "1254e722-ebdc-4421-af8c-fa61e3096944",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "fcede911-8351-4b6b-9daa-3a6fa9d68473": {
      "main": [
        [
          {
            "node": "3f28ef06-fdbf-4488-8136-7826a1a0293a",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "18698e25-23ce-4ca2-834c-e7cdd0521588": {
      "ai_languageModel": [
        [
          {
            "node": "1254e722-ebdc-4421-af8c-fa61e3096944",
            "type": "ai_languageModel",
            "index": 0
          },
          {
            "node": "1db518d9-3c1f-4c20-84f4-167684f959e9",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "950a73f5-aecb-4844-add2-c244f0a946a7": {
      "main": [
        [
          {
            "node": "fcede911-8351-4b6b-9daa-3a6fa9d68473",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "1db518d9-3c1f-4c20-84f4-167684f959e9": {
      "main": [
        [
          {
            "node": "0d7250e0-8b9d-4626-a748-f7c056e2999b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
자주 묻는 질문

이 워크플로우를 어떻게 사용하나요?

위의 JSON 구성 코드를 복사하여 n8n 인스턴스에서 새 워크플로우를 생성하고 "JSON에서 가져오기"를 선택한 후, 구성을 붙여넣고 필요에 따라 인증 설정을 수정하세요.

이 워크플로우는 어떤 시나리오에 적합한가요?

중급 - AI 요약, 멀티모달 AI

유료인가요?

이 워크플로우는 완전히 무료이며 직접 가져와 사용할 수 있습니다. 다만, 워크플로우에서 사용하는 타사 서비스(예: OpenAI API)는 사용자 직접 비용을 지불해야 할 수 있습니다.

워크플로우 정보
난이도
중급
노드 수10
카테고리2
노드 유형8
난이도 설명

일정 경험을 가진 사용자를 위한 6-15개 노드의 중간 복잡도 워크플로우

외부 링크
n8n.io에서 보기

이 워크플로우 공유

카테고리

카테고리: 34