自动化应用分析与ASO报告生成器

• •Telegram Bot Token
• •可能需要目标 API 的认证凭证

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  "name": "自动化应用分析与 ASO 报告生成器",
  "tags": [],
  "nodes": [
    {
      "id": "04d002d6-cae7-45ed-9e6d-983aa5126767",
      "name": "表单提交时",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
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      "parameters": {
        "options": {},
        "formTitle": "ASO Report",
        "formFields": {
          "values": [
            {
              "fieldLabel": "Play Store URL",
              "requiredField": true
            }
          ]
        }
      },
      "typeVersion": 2.2
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      "name": "HTTP 请求",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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      "parameters": {
        "url": "=https://app.sensortower.com/api/android/apps/{{ $json.packageName }}?country=US",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
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      "name": "基础LLM链",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
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      "parameters": {
        "text": "=Create an ASO Report based on the following data. \n\nThe report must include:\n📱 App Overview (Name, Publisher, Category, Installs, Rating, In-app purchases, Last update)  \n⭐ User Ratings & Reviews (average rating, rating count, summary of featured reviews with sentiment highlights)  \n📊 Competitor Analysis (App Name, Publisher, Rating, Installs)  \n📈 Market Insights (downloads & revenue last month, top countries if available)  \n💡 Recommendations (actionable suggestions to improve monetization, retention, competitiveness)  \n\n---\n\n### Input Data:\n\nApp Name: {{ $json.appInfo.name }}\nApp ID: {{ $json.appInfo.app_id }}\nPublisher: {{ $json.appInfo.publisher }}\nCategory: {{ $json.appInfo.category }}\nInstalls: {{ $json.appInfo.installs }}\nRating: {{ $json.appInfo.rating }}\nRating Count: {{ $json.appInfo.rating_count }}\nIn-App Purchases: {{ $json.appInfo.in_app_purchases }}\nLast Update: {{ $json.appInfo.last_update }}\n\nFeatured Reviews:\n{{ $json.reviewsText }}\n\nCompetitors:\n{{ $json.competitorsText }}\n\nMarket Insights:\nDownloads Last Month: {{ $json.market.downloads }}\nRevenue Last Month: {{ $json.market.revenue }} {{ $json.market.currency }}\n",
        "batching": {},
        "messages": {
          "messageValues": [
            {
              "message": "=You are an ASO (App Store Optimization) Analyst. \nGenerate an executive report in plain text only.\nDo not use HTML or Markdown. \nFormat the report neatly using emojis as section headers and bullet points. \nAlways write in business English.\n"
            }
          ]
        },
        "promptType": "define"
      },
      "typeVersion": 1.7
    },
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      "type": "n8n-nodes-base.code",
      "position": [
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      ],
      "parameters": {
        "jsCode": "// n8n Code Node: Parse + Format App Intelligence Data\n// Input: JSON from HTTP Request (SensorTower / similar API)\n// Output: Summary data ready for LLM (formatted text)\n\nconst data = items[0].json;\n\n// --- Get basic info ---\nconst appInfo = {\n  name: data.name,\n  app_id: data.app_id,\n  publisher: data.publisher_name,\n  rating: data.rating,\n  rating_count: data.rating_count,\n  installs: data.installs,\n  category: data.categories?.map(c => c.name).join(\", \") || \"N/A\",\n  in_app_purchases: data.top_in_app_purchases?.US || \"None\",\n  last_update: data.current_version,\n};\n\n// --- Get 3 latest featured reviews ---\nconst reviews = (data.featured_reviews || [])\n  .slice(0, 3)\n  .map(r => ({\n    user: r.username,\n    date: r.date,\n    rating: r.rating,\n    content: r.content,\n    tags: r.tags || []\n  }));\n\n// Format reviews into clean string\nconst reviewsText = reviews.map(r => \n  `- User: ${r.user}\\n  Date: ${r.date}\\n  Rating: ${r.rating}\\n  Content: ${r.content}\\n  Tags: ${r.tags.join(\", \")}`\n).join(\"\\n\\n\");\n\n// --- Get top 3 competitors ---\nconst competitors = (data.related_apps || [])\n  .slice(0, 3)\n  .map(app => ({\n    name: app.name,\n    publisher: app.publisher_name,\n    rating: app.rating,\n    installs: app.rating_count,\n  }));\n\n// Format competitors into clean string\nconst competitorsText = competitors.map(c => \n  `- Name: ${c.name}\\n  Publisher: ${c.publisher}\\n  Rating: ${c.rating}\\n  Installs: ${c.installs}`\n).join(\"\\n\\n\");\n\n// --- Get market data (downloads & revenue last month) ---\nconst market = {\n  downloads: data.worldwide_last_month_downloads?.value || 0,\n  revenue: data.worldwide_last_month_revenue?.value || 0,\n  currency: data.worldwide_last_month_revenue?.currency || \"USD\"\n};\n\n// --- Return final data for LLM ---\nreturn [\n  {\n    json: {\n      appInfo,\n      reviewsText,\n      competitorsText,\n      market\n    }\n  }\n];\n"
      },
      "typeVersion": 2
    },
    {
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      "name": "OpenRouter聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
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      "parameters": {
        "model": "google/gemini-2.0-flash-exp:free",
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "6e7ed502-b385-4c67-9076-45f5885321ce",
      "name": "创建文档",
      "type": "n8n-nodes-base.googleDocs",
      "position": [
        1240,
        0
      ],
      "parameters": {
        "title": "={{ $('Code').item.json.appInfo.name }}",
        "folderId": "YOUR_GOOGLE_DRIVE_FOLDER_ID"
      },
      "typeVersion": 2
    },
    {
      "id": "5042a450-3c0b-4e71-b89f-71ff8b1eba30",
      "name": "更新文档",
      "type": "n8n-nodes-base.googleDocs",
      "position": [
        1460,
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      ],
      "parameters": {
        "actionsUi": {
          "actionFields": [
            {
              "text": "={{ $('Basic LLM Chain').item.json.text }}",
              "action": "insert"
            }
          ]
        },
        "operation": "update",
        "documentURL": "={{ $json.id }}"
      },
      "typeVersion": 2
    },
    {
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      "name": "发送文本消息",
      "type": "n8n-nodes-base.telegram",
      "position": [
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      ],
      "parameters": {
        "text": "=📄 New document for app analysis: {{ $('Code').item.json.appInfo.name }}\n🔗 Document link: https://docs.google.com/document/d/{{ $json.documentId }}/edit?tab=t.0\n",
        "chatId": "YOUR_TELEGRAM_CHAT_ID",
        "additionalFields": {
          "appendAttribution": false
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      "typeVersion": 1.2
    },
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      "name": "代码1",
      "type": "n8n-nodes-base.code",
      "position": [
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      "parameters": {
        "jsCode": "// Input from form trigger\nconst url = items[0].json[\"Play Store URL\"];\n\n// Find the 'id=' parameter in the URL\nlet packageName = null;\ntry {\n  const urlObj = new URL(url);\n  packageName = urlObj.searchParams.get(\"id\");\n} catch (e) {\n  // fallback manual if not a valid URL\n  const match = url.match(/id=([^&]+)/);\n  packageName = match ? match[1] : null;\n}\n\nreturn [\n  {\n    json: {\n      packageName\n    }\n  }\n];\n"
      },
      "typeVersion": 2
    },
    {
      "id": "9b40b151-d7ab-4d27-b896-ffc51e5c3832",
      "name": "便签 1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        "width": 580,
        "height": 1160,
        "content": "# 自动化应用分析与 ASO 报告生成器"
      },
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      "id": "4f425ee1-d7e6-4b47-92ee-a80ffd58d341",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -60,
        -180
      ],
      "parameters": {
        "color": 2,
        "width": 640,
        "height": 340,
        "content": "- 当用户提交包含应用 Play 商店 URL 的表单时，工作流启动"
      },
      "typeVersion": 1
    },
    {
      "id": "97bab2dd-d3ff-435a-bdca-8a9859a92e13",
      "name": "便签 2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        620,
        -180
      ],
      "parameters": {
        "color": 4,
        "width": 760,
        "height": 540,
        "content": "- 解析原始 JSON 并将其格式化为结构化文本，包括应用详情、精选评论、竞争对手数据和市场洞察。"
      },
      "typeVersion": 1
    },
    {
      "id": "475755b2-50c1-4db7-8fca-1417cb5ce660",
      "name": "便签 3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1400,
        -180
      ],
      "parameters": {
        "color": 5,
        "width": 520,
        "height": 540,
        "content": "- 将 ASO 报告文本插入先前创建的 Google 文档中。"
      },
      "typeVersion": 1
    }
  ],
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