使用n8n的航空公司网上值机抓取器与AI和向量数据库存储

• •可能需要目标 API 的认证凭证
• •Google Sheets API 凭证

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  "name": "使用 n8n 的航空公司网上值机抓取器与 AI 和向量数据库存储",
  "tags": [],
  "nodes": [
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      "typeVersion": 3
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    {
      "id": "049cfbd5-bbc7-483c-964e-a32cdab1e6b8",
      "name": "获取航空公司 URL",
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      ],
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        "options": {},
        "sheetName": {
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          "mode": "list",
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      "name": "聊天触发器 - 开始",
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      "webhookId": "6c85024c-928b-4f43-82b3-d1469283586f",
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    {
      "id": "c11c66ea-3e36-4c12-a263-109d03d8be1a",
      "name": "抓取航空公司网页",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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      ],
      "parameters": {
        "url": "=https://r.jina.ai/{{ $json['WEB CHECK IN URL'] }}",
        "method": "POST",
        "options": {},
        "jsonHeaders": "{\n  \"Cookie\": \"cookie-keyname1=cookie-value1; cookie-keyname2=cookie-value2; cookie-keyname3=cookie-value3\"\n}\n",
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        "genericAuthType": "httpHeaderAuth"
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        "httpHeaderAuth": {
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    {
      "id": "27072e20-58dc-49e2-ae6b-1053750607f9",
      "name": "使用 LLM 提取信息",
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      "position": [
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      "parameters": {
        "text": "={{ $json.data }}",
        "messages": {
          "messageValues": [
            {
              "message": "=You are an intelligent parser trained to extract structured data from messy airline webpages.\n\nYour task is to extract and return well-structured airline check-in and policy details from raw text. Always return the result as a clean, valid JSON object using the exact schema described below.\n\n---\n\nExtraction Guidelines:\n\n* Ensure consistent JSON structure for every airline.\n* If a key has no value or content, **remove it** (do not return null, empty arrays, or empty objects).\n* Include any other useful data under `\"additional_info\"` if it doesn’t fit existing keys.\n* Always extract **direct URLs** wherever available.\n* Your output should be compact, valid, and readable JSON.\n\n---\n\nJSON Structure Format:\n\n1. Web Check-in Details\n\n* \"web\\_checkin\\_available\": true/false\n* \"checkin\\_url\": \"<URL>\"\n* \"checkin\\_methods\": \\[\"Online\", \"Mobile App\", \"Kiosk\", \"Airport Counter\"]\n* \"checkin\\_start\": \"<Start Time>\"\n* \"checkin\\_deadline\": \"<Deadline Time>\"\n* \"boarding\\_pass\\_options\":\n\n  * \"mobile\\_boarding\\_pass\\_available\": true/false\n  * \"printed\\_boarding\\_pass\\_required\": true/false\n  * \"additional\\_checkin\\_info\": \"<Extra instructions>\"\n\n2. Customer Support\n\n* \"customer\\_support\":\n\n  * \"phone\": \"<Phone Number>\"\n  * \"email\": \"<Email>\"\n  * \"support\\_url\": \"<Support URL>\"\n  * \"chat\\_url\": \"<Chat URL>\"\n  * \"operating\\_hours\": \"<Hours>\"\n  * \"additional\\_help\\_channels\": \\[\"WhatsApp\", \"Twitter Support\", \"Chatbot\"]\n\n3. Baggage Allowance\n\n* \"baggage\\_allowance\":\n\n  * \"hand\\_baggage\":\n\n    * \"weight\\_limit\": \"<Weight Limit>\"\n    * \"size\\_limit\": \"<Size Limit>\"\n    * \"additional\\_items\\_allowed\": \\[\"Handbag\", \"Laptop\", \"Baby Items\", \"Medical Equipment\"]\n    * \"special\\_conditions\": \"<Any special baggage conditions>\"\n  * \"checked\\_baggage\":\n\n    * \"general\\_rules\": \"<Baggage Rules>\"\n    * \"class\\_specific\\_limits\": \"<Limits for different travel classes>\"\n    * \"baggage\\_calculator\\_url\": \"<URL>\"\n    * \"oversized\\_special\\_baggage\": \"\\<Details on sports/music equipment>\"\n\n4. Refund & Cancellation Policy\n\n* \"refund\\_policy\":\n\n  * \"conditions\": \"<Refund conditions>\"\n  * \"processing\\_time\": \"<Processing Time>\"\n  * \"refund\\_policy\\_url\": \"<URL>\"\n* \"cancellation\\_policy\":\n\n  * \"conditions\": \"<Cancellation conditions>\"\n  * \"fees\\_or\\_penalties\": \"<Cancellation Fees>\"\n  * \"cancellation\\_policy\\_url\": \"<URL>\"\n\n5. Airport & Travel Guidelines\n\n* \"airport\\_travel\\_guidelines\":\n\n  * \"security\\_immigration\\_rules\": \"\\<Security & Immigration Rules>\"\n  * \"airport\\_checkin\\_requirements\": \"<Check-in document requirements>\"\n  * \"special\\_services\": \\[\"Priority Boarding\", \"Lounge Access\", \"Wheelchair Assistance\"]\n\n6. Frequently Asked Questions (FAQ)\n\n* \"faq\":\n\n  * \"faq\\_url\": \"<FAQ Page URL>\"\n  * \"questions\\_answers\": \\[\n    {\"question\": \"<Q1>\", \"answer\": \"<A1>\"},\n    {\"question\": \"<Q2>\", \"answer\": \"<A2>\"}\n    ]\n\n7. Additional Details\n\n* \"additional\\_info\": \"<Any extra info from the page not captured above>\"\n\n---\n\nOutput Rules Summary:\n\n* Always return valid JSON.\n* Do **not** include empty fields or structures (null, {}, or \\[]).\n* Place unrelated or extra info under \"additional\\_info\".\n\nUse this structure for every page, even if some values are missing. Just remove the missing fields completely in the output.\n\n\n"
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        "columns": {
          "value": {
            "row_number": "={{ $('Loop Over Items').item.json.row_number }}",
            "web check in details": "={{ $json.text.removeTags().replace(/^```json|```$/g, '').trim() }}"
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              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Airline",
              "defaultMatch": false,
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            {
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              "type": "string",
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              "removed": true,
              "required": false,
              "displayName": "WEB CHECK IN URL",
              "defaultMatch": false,
              "canBeUsedToMatch": true
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              "id": "output",
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              "removed": false,
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              "displayName": "output",
              "defaultMatch": false,
              "canBeUsedToMatch": true
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            {
              "id": "row_number",
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              "display": true,
              "removed": false,
              "readOnly": true,
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              "displayName": "row_number",
              "defaultMatch": false,
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          "mappingMode": "defineBelow",
          "matchingColumns": [
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          "attemptToConvertTypes": false,
          "convertFieldsToString": false
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      "name": "生成嵌入向量",
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      "name": "准备向量数据库文本",
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      },
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    },
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      "name": "保存到向量数据库",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePGVector",
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        0
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          "collection": {
            "values": {
              "useCollection": true
            }
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        "postgres": {
          "id": "4Y4qEFGqF2krfRHZ",
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        "width": 660,
        "height": 860,
        "content": ""
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  "pinData": {},
  "settings": {
    "executionOrder": "v1"
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  "versionId": "b785e5c9-19bf-42c0-8c99-1659b1c2509b",
  "connections": {
    "Chat Model": {
      "ai_languageModel": [
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          {
            "node": "Extract Info with LLM\t",
            "type": "ai_languageModel",
            "index": 0
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        ]
      ]
    },
    "Loop Over Items": {
      "main": [
        [],
        [
          {
            "node": "Scrape Airline Webpage\t",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Split Long Text\t": {
      "ai_textSplitter": [
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            "node": "Prepare Text for Vector DB\t",
            "type": "ai_textSplitter",
            "index": 0
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    "Wait for Response": {
      "main": [
        [
          {
            "node": "Store Extracted Info\t",
            "type": "main",
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        ]
      ]
    },
    "Save to Vector DB\t": {
      "main": [
        [
          {
            "node": "Wait Before Next Batch\t",
            "type": "main",
            "index": 0
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    },
    "Fetch Airline URLs\t": {
      "main": [
        [
          {
            "node": "Loop Over Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Generate Embeddings\t": {
      "ai_embedding": [
        [
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            "node": "Save to Vector DB\t",
            "type": "ai_embedding",
            "index": 0
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    "Chat Trigger - Start\t": {
      "main": [
        [
          {
            "node": "Fetch Airline URLs\t",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Store Extracted Info\t": {
      "main": [
        [
          {
            "node": "Save to Vector DB\t",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Extract Info with LLM\t": {
      "main": [
        [
          {
            "node": "Wait for Response",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Scrape Airline Webpage\t": {
      "main": [
        [
          {
            "node": "Extract Info with LLM\t",
            "type": "main",
            "index": 0
          }
        ]
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    "Wait Before Next Batch\t": {
      "main": [
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            "node": "Loop Over Items",
            "type": "main",
            "index": 0
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    "Prepare Text for Vector DB\t": {
      "ai_document": [
        [
          {
            "node": "Save to Vector DB\t",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    }
  }
}