Revolut 지출 자동 분류
고급
이것은Content Creation, Multimodal AI분야의자동화 워크플로우로, 19개의 노드를 포함합니다.주로 Set, Code, Merge, Crypto, Supabase 등의 노드를 사용하며. GPT-4와 Supabase를 사용하여 Revolut 거래를 자동으로 분류합니다.
사전 요구사항
- •Supabase URL과 API Key
- •Google Drive API 인증 정보
- •OpenAI API Key
사용된 노드 (19)
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": "qfdeygimBULYjsqJ",
"meta": {
"instanceId": "c9b372d6af59e3f6d8835345664babb3bd2c029f9d3764b59df1829e2ae18ec7",
"templateCredsSetupCompleted": true
},
"name": "Revolut Expenses Manual",
"tags": [
{
"id": "ea4Bb1csGvuESWWb",
"name": "Revolut",
"createdAt": "2025-08-11T13:32:47.326Z",
"updatedAt": "2025-08-11T13:32:47.326Z"
}
],
"nodes": [
{
"id": "44cf1317-7bac-45f6-a139-6979e1923496",
"name": "워크플로우 실행 시",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-2352,
16
],
"parameters": {},
"typeVersion": 1
},
{
"id": "2ee0180a-e65f-4cf9-9d94-045844873105",
"name": "스티키 노트",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2960,
-352
],
"parameters": {
"width": 496,
"height": 800,
"content": "## Revolut Extracts Analyzer\n\n### This n8n template processes Revolut statements, normalizes transactions, and uses AI to categorize expenses automatically.\n### Use cases include detecting subscriptions, separating internal transfers, and building dashboards to track spending.\n---\n\n## How it works\n* **Get Categories from Supabase**\n* **Download & Transform**\n* **Loop Over Items**\n* **LLM Categorizer** \n* **Insert into Supabase**\n\n---\n\n## How to use\n* Start with the **manual trigger node** or replace it with a schedule/webhook. \n* Connect **Google Drive** to provide Revolut CSV files. \n* Ensure **Supabase** has tables for `transactions` and `categories`. \n* Extend with notifications, reports, or BI tools. \n\n---\n\n## Requirements\n* Google Drive for CSV files \n* Supabase tables for categories & transactions \n* LLM provider (OpenAI/Gemini)"
},
"typeVersion": 1
},
{
"id": "6070fcd4-1cd9-4ffe-a3d3-f7cd582ffc9d",
"name": "추출 파일 다운로드",
"type": "n8n-nodes-base.googleDrive",
"position": [
-1664,
16
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "list",
"value": "1JAb-5Y4Pi2A7LePJ9wvEWVrg6iqN7_5l",
"cachedResultUrl": "https://drive.google.com/file/d/1JAb-5Y4Pi2A7LePJ9wvEWVrg6iqN7_5l/view?usp=drivesdk",
"cachedResultName": "agosto.csv"
},
"options": {},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "ehEt6oTyXIIzKB1E",
"name": "Google Drive - kermitdev9"
}
},
"typeVersion": 3
},
{
"id": "01c41ea4-df02-41ec-965f-43a75cb018b4",
"name": "행 생성",
"type": "n8n-nodes-base.supabase",
"onError": "continueErrorOutput",
"position": [
112,
16
],
"parameters": {
"tableId": "transactions",
"fieldsUi": {
"fieldValues": [
{
"fieldId": "completed_date",
"fieldValue": "={{ $json.completed_date }}"
},
{
"fieldId": "started_date",
"fieldValue": "={{ $json.started_date }}"
},
{
"fieldId": "description_original",
"fieldValue": "={{ $json.description_original }}"
},
{
"fieldId": "description_clean",
"fieldValue": "={{ $json.description_clean }}"
},
{
"fieldId": "merchant_name",
"fieldValue": "={{ $json.output.merchant_name }}"
},
{
"fieldId": "category_name",
"fieldValue": "={{ $json.output.category }}"
},
{
"fieldId": "type",
"fieldValue": "={{ $json.type }}"
},
{
"fieldId": "state",
"fieldValue": "={{ $json.state }}"
},
{
"fieldId": "fee",
"fieldValue": "={{ $json.fee }}"
},
{
"fieldId": "currency",
"fieldValue": "={{ $json.currency }}"
},
{
"fieldId": "balance",
"fieldValue": "={{ $json.balance }}"
},
{
"fieldId": "is_subscription",
"fieldValue": "={{ $json.output.is_subscription }}"
},
{
"fieldId": "is_internal",
"fieldValue": "={{ $json.output.is_internal }}"
},
{
"fieldId": "amount",
"fieldValue": "={{ $json.amount }}"
},
{
"fieldId": "uniq_hash",
"fieldValue": "={{ $json.uniq_hash }}"
},
{
"fieldId": "user_id",
"fieldValue": "={{ $json.body?.userId || null }}"
}
]
}
},
"credentials": {
"supabaseApi": {
"id": "bzLzwSBr9xr18RGW",
"name": "Kermitdev9 Supabase"
}
},
"typeVersion": 1
},
{
"id": "45650b46-adeb-4b19-a28e-166ca063f42a",
"name": "내용 정규화",
"type": "n8n-nodes-base.set",
"position": [
-1280,
16
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "42e6f2d4-7530-41ed-95a9-4f8b672e974a",
"name": "type",
"type": "string",
"value": "={{ $json[Object.keys($json)[0]] }}"
},
{
"id": "44447d5c-23b7-470f-982a-b6366035b1eb",
"name": "product",
"type": "string",
"value": "={{ $json[Object.keys($json)[1]].trim() }}"
},
{
"id": "44af0831-d9c6-4ec7-a729-58368b38fbb7",
"name": "started_date",
"type": "string",
"value": "={{ (($json[Object.keys($json)[2]]).replace(\" \", \"T\")) + \"Z\" }}"
},
{
"id": "63e4b1f0-a3b4-438c-b21d-347a8e0702c6",
"name": "completed_date",
"type": "string",
"value": "={{ (( $json[Object.keys($json)[3]]).replace(\" \", \"T\")) + \"Z\" }}"
},
{
"id": "842a5afe-7837-46e0-84cd-a894bbafa58c",
"name": "description_original",
"type": "string",
"value": "={{$json[Object.keys($json)[4]]}}"
},
{
"id": "0cdd36f6-cb48-4512-bc6a-3ce285b09aea",
"name": "description_clean",
"type": "string",
"value": "={{ ($json[Object.keys($json)[4]] || \"\").toLowerCase().replace(/\\s+/g, \" \").trim() }}"
},
{
"id": "9fbfbac5-2d02-4db6-8cb7-9177a66b1e37",
"name": "amount",
"type": "string",
"value": "={{ $json[Object.keys($json)[5]] }}"
},
{
"id": "6a6f1bf9-85ae-47fc-a25e-8c5433e6ac0d",
"name": "fee",
"type": "string",
"value": "={{ $json[Object.keys($json)[6]] }}"
},
{
"id": "8585ec37-33a1-4d4c-9b71-456809ab10da",
"name": "currency",
"type": "string",
"value": "={{ $json[Object.keys($json)[7]].toUpperCase() }}"
},
{
"id": "9b3a2caf-3548-4149-952e-86821f17361b",
"name": "state",
"type": "string",
"value": "={{ $json[Object.keys($json)[8]].toUpperCase() }}"
},
{
"id": "f2a8a409-9f3a-477c-8fe5-0eed9570071c",
"name": "balance",
"type": "string",
"value": "={{ $json[Object.keys($json)[9]] }}"
},
{
"id": "8737fc90-2cdf-4ce1-a793-308ee738bdbf",
"name": "raw",
"type": "string",
"value": "={{ $json }}"
},
{
"id": "c617cc25-10f6-47c0-84c8-06081bfe6672",
"name": "uniq_hash",
"type": "string",
"value": "={{ \n ( $json[Object.keys($json)[3]] || \"\") + \"|\" +\n Number($json[Object.keys($json)[5]]).toFixed(2) + \"|\" +\n ( $json[Object.keys($json)[7]] || \"\").toUpperCase() + \"|\" +\n ( $json[Object.keys($json)[0]] || \"\").toUpperCase()\n}}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "21ec8fe0-b1b6-404e-8e73-0501de474bb8",
"name": "가맹점 추출",
"type": "n8n-nodes-base.code",
"position": [
-672,
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],
"parameters": {
"jsCode": "// n8n Function Item\n// Entrada: $json.description_clean (minúsculas, sin espacios dobles)\n// Salida: merchant_candidate, merchant_candidate_normalized\n\nfunction norm(s = \"\") {\n return s\n .toLowerCase()\n .normalize(\"NFD\").replace(/[\\u0300-\\u036f]/g, \"\")\n .replace(/[^a-z0-9\\s]/g, \" \")\n .replace(/\\s+/g, \" \")\n .trim();\n}\n\nlet desc = String($json.description_clean || \"\").trim();\nif (!desc) return [{ ...$json, merchant_candidate: \"unknown\", merchant_candidate_normalized: \"unknown\" }];\n\n// ruido común\nconst STOP_PHRASES = [\n \"payment from\",\"payment to\",\"transfer from\",\"transfer to\",\"bank transfer\",\n \"card payment\",\"pos purchase\",\"card purchase\",\"transaction at\",\"merchant\",\n \"bill\",\"charge\",\"revolut\",\"sas\",\"sarl\",\"sa\",\"ag\",\"gmbh\",\"spa\",\"srl\",\"ltd\",\n \"limited\",\"inc\",\"corp\",\"co\",\"store\",\"shop\"\n];\n\nconst NOISE_REGEX = [\n /\\b(lu|be|fr|de|nl|es|it|uk|us)\\b/g,\n /\\bcom\\b/g,\n /\\bwww\\b/g,\n /https?:\\/\\/\\S+/g,\n /[0-9]{2,}/g\n];\n\ndesc = norm(desc);\nfor (const rx of NOISE_REGEX) desc = desc.replace(rx, \" \");\nfor (const p of STOP_PHRASES) {\n const rx = new RegExp(`\\\\b${p.replace(/[.*+?^${}()|[\\]\\\\]/g, \"\\\\$&\")}\\\\b`, \"g\");\n desc = desc.replace(rx, \" \");\n}\ndesc = desc.replace(/\\s+/g, \" \").trim();\n\n// canónicos rápidos\nconst CANONICAL = [\n { re: /\\bamzn|amazon|prime\\s+video|amazon\\s+prime\\b/, name: \"Amazon\" },\n { re: /\\bapple|itunes|apple\\.com\\b/, name: \"Apple\" },\n { re: /\\bspotify\\b/, name: \"Spotify\" },\n { re: /\\bnetflix\\b/, name: \"Netflix\" },\n { re: /\\buber\\b/, name: \"Uber\" },\n { re: /\\bbolt\\b/, name: \"Bolt\" },\n { re: /\\bcarrefour\\b/, name: \"Carrefour\" },\n { re: /\\blidl\\b/, name: \"Lidl\" },\n { re: /\\baldi\\b/, name: \"Aldi\" },\n { re: /\\bdelhaize\\b/, name: \"Delhaize\" }\n];\n\nlet canonical = null;\nfor (const { re, name } of CANONICAL) { if (re.test(desc)) { canonical = name; break; } }\n\n// candidato por primeras palabras relevantes\nconst CONNECTORS = new Set([\"the\",\"and\",\"at\",\"for\",\"from\",\"to\",\"on\",\"in\",\"of\"]);\nlet cand = desc.split(\" \").filter(w => w && !CONNECTORS.has(w)).slice(0, 3).join(\" \").trim();\n\nconst merchant_candidate = canonical || cand || (desc || \"unknown\");\nconst merchant_candidate_normalized = norm(merchant_candidate);\n\nreturn [{\n ...$json,\n merchant_candidate: merchant_candidate_normalized\n}];\n"
},
"typeVersion": 2
},
{
"id": "51b8f681-4242-4692-8873-ea326a3dc312",
"name": "항목 루프",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-896,
16
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "48f035d1-2193-4ef1-86bf-9a385ddddadb",
"name": "카테고리 추출",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
-496,
-64
],
"parameters": {
"text": "={{ $('Normalize content').item.json.raw }}",
"batching": {},
"messages": {
"messageValues": [
{
"message": "=You are a financial transaction classifier and merchant extractor.\nYou will receive a raw financial transaction in JSON format.\nYou must return a single valid JSON object following exactly the required schema.\n\nAllowed categories:\n{{ $('Aggregate').item.json.normalized_name }}\n\nInstructions:\n1. Read the raw transaction.\n2. Extract a merchant_name: a clean, standardized version of the business or entity involved.\n - If the description clearly contains a brand or business name, return it cleaned (no codes, extra spaces, or special characters).\n - If there is no clear merchant, return \"Unknown\".\n3. Choose exactly ONE category from the allowed list based on the description, merchant, type, and amount.\n4. Set is_internal=true if the movement is between the user’s own accounts (top up, vault, transfer to self).\n5. Set is_subscription=true if the transaction appears to be a recurring service charge (streaming, memberships, etc.).\n6. Set confidence between 0.0 and 1.0 based on how certain you are about the classification.\n7. Set rule_reason as a short, clear explanation of why you chose that category and merchant.\n8. Respond only with JSON. No extra text, no explanations outside the JSON.\n\nExample output:\n{\n \"merchant_name\": \"Spotify\",\n \"category\": \"Subscriptions\",\n \"is_subscription\": true,\n \"is_internal\": false,\n \"confidence\": 0.98,\n \"rule_reason\": \"The description contains 'Spotify', which is a well-known recurring music subscription service.\"\n}\n"
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.7
},
{
"id": "dbd5bb41-b6df-4f41-a15c-356d55121ccd",
"name": "병합",
"type": "n8n-nodes-base.merge",
"position": [
-144,
16
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineAll"
},
"typeVersion": 3.2
},
{
"id": "41f70e3c-ab40-4695-af06-cc1be6672331",
"name": "출력 파서",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
-304,
112
],
"parameters": {
"jsonSchemaExample": "{\n \"merchant_name\": \"Spotify\",\n \"category\": \"Subscriptions\",\n \"is_subscription\": true,\n \"is_internal\": false,\n \"confidence\": 0.98,\n \"rule_reason\": \"The description contains 'Spotify', which is a well-known recurring music subscription service.\"\n}"
},
"typeVersion": 1.3
},
{
"id": "fd6174c8-3790-447b-9223-ec575ed9d0c7",
"name": "여러 행 가져오기",
"type": "n8n-nodes-base.supabase",
"position": [
-2144,
16
],
"parameters": {
"tableId": "categories",
"operation": "getAll",
"returnAll": true
},
"credentials": {
"supabaseApi": {
"id": "bzLzwSBr9xr18RGW",
"name": "Kermitdev9 Supabase"
}
},
"typeVersion": 1
},
{
"id": "4ab626a6-ceb7-4893-b400-5fff770536c1",
"name": "집계",
"type": "n8n-nodes-base.aggregate",
"position": [
-1984,
16
],
"parameters": {
"options": {},
"fieldsToAggregate": {
"fieldToAggregate": [
{
"fieldToAggregate": "normalized_name"
}
]
}
},
"typeVersion": 1
},
{
"id": "5e9d2e5d-39ef-4de6-bc7a-fc093ae63a9e",
"name": "스티키 노트1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2192,
-192
],
"parameters": {
"color": 2,
"width": 368,
"height": 464,
"content": "## Get Categories from Supabase\nRetrieve categories from Supabase to feed into later LLM categorization phases."
},
"typeVersion": 1
},
{
"id": "01a5bac3-91ad-4d67-be6c-0379cd2b1ccd",
"name": "스티키 노트2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1776,
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],
"parameters": {
"color": 6,
"width": 832,
"height": 464,
"content": "## Download and Transform extraction\nDownload the file from Google Drive, extract and parse the CSV data, normalize and standardize its content, then generate a unique hash to ensure consistency and prevent duplicates."
},
"typeVersion": 1
},
{
"id": "c76a64ba-e9ae-4716-b11e-de03c87ee6ee",
"name": "스티키 노트3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-720,
-192
],
"parameters": {
"color": 2,
"width": 736,
"height": 464,
"content": "## LLM Categorizer\nIterate over all transactions, send each to the LLM together with the previously retrieved category list, and extract the assigned category plus flags for whether it is a subscription, an internal transfer, or other relevant markers."
},
"typeVersion": 1
},
{
"id": "1343af82-305f-488d-9de4-b878eaf95e95",
"name": "스티키 노트4",
"type": "n8n-nodes-base.stickyNote",
"position": [
96,
-192
],
"parameters": {
"color": 2,
"width": 336,
"height": 464,
"content": "## Insert into supabase\nThen insert into supabase avoiding duplicates"
},
"typeVersion": 1
},
{
"id": "af13cecf-f7a9-4ac3-aa81-420de0b26a3f",
"name": "고유 해시",
"type": "n8n-nodes-base.crypto",
"position": [
-1104,
16
],
"parameters": {
"value": "={{ $json.uniq_hash }}",
"dataPropertyName": "uniq_hash"
},
"typeVersion": 1
},
{
"id": "50638b77-608d-46be-a5fc-11983a3da235",
"name": "gpt-4.1-mini",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-496,
112
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini",
"cachedResultName": "gpt-4.1-mini"
},
"options": {
"temperature": 0.3
}
},
"credentials": {
"openAiApi": {
"id": "3X2EvLOOJbnKaXSS",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "5ecee4f9-7527-48ed-bbbb-176c19f5ef84",
"name": "파일에서 추출",
"type": "n8n-nodes-base.extractFromFile",
"position": [
-1440,
16
],
"parameters": {
"options": {}
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "363d0f72-9959-4964-b2b5-e00ff29f4690",
"connections": {
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"ai_languageModel": [
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]
},
"45650b46-adeb-4b19-a28e-166ca063f42a": {
"main": [
[
{
"node": "af13cecf-f7a9-4ac3-aa81-420de0b26a3f",
"type": "main",
"index": 0
}
]
]
},
"48f035d1-2193-4ef1-86bf-9a385ddddadb": {
"main": [
[
{
"node": "dbd5bb41-b6df-4f41-a15c-356d55121ccd",
"type": "main",
"index": 0
}
]
]
},
"44cf1317-7bac-45f6-a139-6979e1923496": {
"main": [
[
{
"node": "fd6174c8-3790-447b-9223-ec575ed9d0c7",
"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?
고급 - 콘텐츠 제작, 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.
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