Airtable에서 다중 관계 계층 데이터 기록을 가져오기

• •Airtable API Key
• •대상 API의 인증 정보가 필요할 수 있음

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        "url": "=https://api.airtable.com/v0/{{ $('Inputs').item.json.base_id }}/{{ $json.level_3_table_id }}/listRecords",
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              "name": "level_2_table_id",
              "type": "string",
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              "type": "object",
              "value": "={{ $('Level 2 records').item.json.fields }}"
            },
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              "id": "f397d1cb-f5fa-4d9f-956b-ec665ab22992",
              "name": "level_2_field_name",
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            }
          ]
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    {
      "id": "6e45ff3e-0e31-4658-a718-51a1b580b8ef",
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        "options": {},
        "fieldsToAggregate": {
          "fieldToAggregate": [
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              "renameField": true,
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              "fieldToAggregate": "fields"
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    {
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      ],
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        "width": 2730,
        "height": 1040,
        "content": "## Level 3 children\n\nThis is an iteration on each L2 records array having level 3 children to be fetched"
      },
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    },
    {
      "id": "ec5ebe98-56f9-4568-afc7-2b5202d205b4",
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      "position": [
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      ],
      "parameters": {
        "width": 440,
        "height": 380,
        "content": "## Input\n\n```\n[\n  {\n    \"base_id\": \"appN8nPMGoLNuzUbY\",\n    \"table_id\": \"tblLVOwpYIe0fGQ52\",\n    \"record_id\": \"reczMh1Pp5l94HdYf\",\n    \"level_3\": [\n      \"fldRaFra1rLta66cD\",\n      \"fld3FxCaYk8AVaEHt\"\n    ],\n    \"to_html\": true\n  }\n]\n```"
      },
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              "name": "richTextFields",
              "type": "array",
              "value": "={{ $('Airtable Schema').all().map(\n\nx => x.json.fields.filter(x => x.type == \"richText\").map(x => x.name)\n\n).flat() }}"
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      "type": "n8n-nodes-base.code",
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        "jsCode": "const marked = require('marked');\n\nfunction convertMarkdownToHtml(obj, propertiesToConvert) {\n  // Check if the object is an array\n  if (Array.isArray(obj)) {\n    // If it's an array, loop through each item and recursively call the function\n    return obj.map(item => convertMarkdownToHtml(item, propertiesToConvert));\n  } else if (typeof obj === 'object') {\n    // If it's an object, loop through each property\n    for (const key in obj) {\n      if (Object.prototype.hasOwnProperty.call(obj, key)) {\n        const value = obj[key];\n        // Check if the property name is in the array of properties to convert\n        if (propertiesToConvert.includes(key)) {\n          // Check if the value is a string (potential markdown)\n          if (typeof value === 'string') {\n            // Convert markdown to HTML using marked library\n            obj[key] = marked.parse(value);\n          }\n        } else {\n          // If the property name is not in the array, recursively check if it's an object or array\n          if (typeof value === 'object') {\n            obj[key] = convertMarkdownToHtml(value, propertiesToConvert);\n          }\n        }\n      }\n    }\n    return obj;\n  } else {\n    // If it's not an object or array, return as is (since we can't convert it)\n    return obj;\n  }\n}\n\nreturn convertMarkdownToHtml($('Insert linked records to originRecord & Clean Field Name').first().json,$('Rich Text Fields list').first().json.richTextFields)\n\n\n\n"
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      "name": "마크다운을 HTML로 변환 여부",
      "type": "n8n-nodes-base.if",
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        680
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
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            "caseSensitive": true,
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      "typeVersion": 2.2
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      "type": "n8n-nodes-base.httpRequest",
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      "parameters": {
        "url": "=https://api.airtable.com/v0/{{ $json.base_id }}/{{ $json.table_id }}/{{ $json.record_id }}/comments",
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        "authentication": "predefinedCredentialType",
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "color": 4,
        "width": 920,
        "height": 1500,
        "content": "# Airtable Hierarchical Record Fetcher\n\n## Description\n\nThis n8n workflow retrieves an Airtable record along with its related child records in a hierarchical structure. It can fetch up to 3 levels of linked records and assembles them into a comprehensive JSON object, making it ideal for complex data relationships and nested record structures.\n\n## Features\n\n- **Multi-level Record Fetching**: Retrieves parent record, linked child records (level 2), and optionally grandchild records (level 3)\n- **Selective Level 3 Fetching**: Only fetches level 3 records for specified linked fields to optimize performance\n- **Rich Text Processing**: Converts Airtable's pseudo-markdown rich text fields to HTML format\n- **Hierarchical JSON Output**: Organizes all data in a structured, nested JSON format\n- **Flexible Configuration**: Customizable depth and field selection per execution\n\n## Input Parameters\n\nThe workflow accepts a JSON array with the following structure:\n\n```json\n[\n  {\n    \"base_id\": \"appN8nPMGoLNuzUbY\",\n    \"table_id\": \"tblLVOwpYIe0fGQ52\", \n    \"record_id\": \"reczMh1Pp5l94HdYf\",\n    \"level_3\": [\n      \"fldRaFra1rLta66cD\",\n      \"fld3FxCaYk8AVaEHt\"\n    ],\n    \"to_html\": true\n  }\n]\n```\n\n### Parameter Details\n\n| Parameter | Type | Required | Description |\n|-----------|------|----------|-------------|\n| `base_id` | string | Yes | Airtable base identifier |\n| `table_id` | string | Yes | Airtable table identifier for the main record |\n| `record_id` | string | Yes | Airtable record identifier to fetch |\n| `level_3` | array | No | Array of field IDs from level 2 records for which to fetch level 3 children |\n| `to_html` | boolean | No | Convert rich text fields from pseudo-markdown to HTML (default: false). This requires `marked` npm package. |\n\n## Output Structure\n\nThe workflow returns a hierarchical JSON object with the following structure:\n\n```json\n{\n   \"id\": \"recXXXXXXX\",\n   \"field_1\": ...,\n   \"field_2\": ...,\n   \"level2_child\": [\n      {\n         \"id\": \"recXXXXXXX\",\n         \"field_a\": ...,\n         \"field_b\": ...,\n         \"level3_child\": [\n            {\n               \"id\": \"recXXXXXXX\",\n               \"field_y\": ...,\n               \"field_z\": ...,\n            },\n            ...\n         ]\n      },\n      ...\n   ]\n}\n```"
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      "name": "스티커 노트3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        5060,
        360
      ],
      "parameters": {
        "color": 3,
        "width": 700,
        "height": 280,
        "content": "## Converts Airtable Rich Text (pseudo-markdown) to HTML\n \n**This requires `marked` npm package.** \n\nYou can delete these nodes if you don't need the feature"
      },
      "typeVersion": 1
    },
    {
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      "name": "스티커 노트4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2420,
        -120
      ],
      "parameters": {
        "width": 860,
        "height": 520,
        "content": "## Level 2 children\n\nFor each `Link to another record` fields:\n\n- We fetch the linked records array (up to 100 children) thanks to a `filterbyformula` API trick\n- In those level 2 children records, we exclude `link to another record` fields except for fields given in `level_3` workflow input\n"
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      "id": "fa4bcdc8-c977-4f4a-89e9-545a97855a38",
      "name": "L3 하위 항목이 있는 L2 레코드 배열 순회",
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      ],
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      },
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    },
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      "name": "주어진 L1 필드에 대한 L2 레코드 순회",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        4480,
        -40
      ],
      "parameters": {
        "options": {
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        }
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    },
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      "name": "스티커 노트5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
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        "width": 1820,
        "height": 740,
        "content": "## Level 3 children\n\nThis is an iteration on each record within a record array to fetch its level 3 children"
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    }
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