키워드 분류
고급
이것은자동화 워크플로우로, 40개의 노드를 포함합니다.주로 Set, Filter, Airtable, SplitOut, Aggregate 등의 노드를 사용하며. AI와 Airtable를 사용하여 SEO 키워드를 분류하고 내용 전략을 생성합니다.
사전 요구사항
- •Airtable API Key
- •OpenAI API Key
카테고리
-
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": "mGgSDkJTDBI4mq1J",
"meta": {
"instanceId": "642e489d8be5ef18e94f4513d3dbcdb97cfdc6b36fc67668bf60c866346c5a09",
"templateCredsSetupCompleted": true
},
"name": "Categorize Keywords",
"tags": [
{
"id": "AZvUGDdqsfK0AaPB",
"name": "Content Creation",
"createdAt": "2025-09-09T14:22:23.903Z",
"updatedAt": "2025-09-09T14:22:23.903Z"
}
],
"nodes": [
{
"id": "478452bb-0bf2-46c0-8644-d4f9bd2e31c7",
"name": "'워크플로 테스트' 클릭 시",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-1024,
864
],
"parameters": {},
"typeVersion": 1
},
{
"id": "95bd2d16-c8eb-4841-8a89-61f60bb111ac",
"name": "스티키 노트",
"type": "n8n-nodes-base.stickyNote",
"position": [
48,
224
],
"parameters": {
"width": 520,
"height": 540,
"content": "## Gets KWs from Master List and Categorizes\nCategorizes keywords as Quick Wins, Authority Builders, Emerging Topics, and Unknown."
},
"typeVersion": 1
},
{
"id": "c222ee7d-0791-40ad-9780-e3d067d01ffa",
"name": "스티키 노트1",
"type": "n8n-nodes-base.stickyNote",
"position": [
848,
144
],
"parameters": {
"width": 520,
"height": 260,
"content": "## Send All Categorized Keywords to Airtable\n"
},
"typeVersion": 1
},
{
"id": "b99967c3-a895-47bf-9b57-cbdde4f3394b",
"name": "스티키 노트2",
"type": "n8n-nodes-base.stickyNote",
"position": [
640,
448
],
"parameters": {
"width": 1720,
"height": 460,
"content": "## Creates Title and Description for each categorized keyword.\nSends to Airtable"
},
"typeVersion": 1
},
{
"id": "4d98bb25-96b6-4e2c-8e1d-1b9929259ea5",
"name": "에이전트 콘텐츠 기회 생성",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1440,
1504
],
"parameters": {
"text": "=For each of the {{ $('Edit Fields2').item.json.number_of_clusters }} clusters, consider its:\n- cluster_name: {{ $json.cluster_name }}\n- core_topic: {{ $json.core_topic }}\n- intent_pattern:{{ $json.intent_pattern }}\n- keywords: {{ $json.keywords }}\n- reasoning: {{ $json.reasoning }}\n- primary_keyword: {{ $json.primary_keyword }}\nTo create one hub article and 5 spoke articles.\n\nYou are creating a hub and spoke content strategy. For each hub and spoke article, you will create:\n- title: an seo-optimized title that is engaging and reflects the article content. It is around 60 characters long.\n- description: 3 to 5 paragraphs desribing the article\n- keyword: the primary keyword of the article\n\nTo create the clusters group all keywords with the same cluster_name. Give each cluster a name and type of either hub or spoke. There will be one hub article and up to 5 spoke articles per cluster.\n\nThe hub article serves as the central piece of content that provides a broad overview of a main topic. The spoke articles are detailed content pieces that branch out from the hub, each focusing on specific subtopics.\n\nImportant: Each cluster as defined above should have one hub article and up to 5 spoke articles. Always make sure that hub and spoke articles are created for each cluster.\nConsider the following when creating the hub and spoke articles.\n1. cluster_name\n2. title\n- SEO-optimized\n- Under 62 characters\n3. description\n- 3-5 paragraphs desribing the article\n4. type \n- hub or spoke\n\nReturn a single-line JSON object with this structure for each cluster (no line breaks). \n {\n \"cluster_name\": \"descriptive name\",\n \"title\": \"the title\",\n \"description\": \"the description\",\n \"type\": \"either hub or spoke\",\n \"keyword\": \"the primary keyword\"\n \"reasoning\": \"reasoning for the cluster\"\n }\n\nImportant: Return ONLY the JSON array with NO line breaks (\\n), NO extra quotations, NO extra spaces, and NO additional text.\n\n\n\n",
"options": {
"systemMessage": "You are an AI content strategist specializing in creating seo-optimized hub and spoke content structures. For each cluster, create one main hub article and up to 5 supporting spoke articles that comprehensively cover the topic while maintaining SEO best practices and user intent.\n"
},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "88679472-31f9-499f-86f0-7b06fa058f0b",
"name": "스티키 노트4",
"type": "n8n-nodes-base.stickyNote",
"position": [
32,
1072
],
"parameters": {
"width": 800,
"height": 520,
"content": "## Clusters KWs from Master KW All Variations List\nCreates clusters based on semantic similarity and search intent."
},
"typeVersion": 1
},
{
"id": "b482852c-8502-4b0d-b42e-819a1cb02e9a",
"name": "스티키 노트5",
"type": "n8n-nodes-base.stickyNote",
"position": [
880,
1072
],
"parameters": {
"width": 1120,
"height": 260,
"content": "## Adds Cluster and Keywords to Clusters Sheet\n"
},
"typeVersion": 1
},
{
"id": "1bb158eb-5092-4aa9-be97-98c3fd8a4125",
"name": "스티키 노트6",
"type": "n8n-nodes-base.stickyNote",
"position": [
880,
1360
],
"parameters": {
"width": 1600,
"height": 460,
"content": "## Create Hub and Spoke Content Opportunities\nCreates title and description for Hub and Spoke content opportunities.\nPrompted (at the moment) to create 5 supporting articles for each pillar."
},
"typeVersion": 1
},
{
"id": "a52ef80c-284c-491b-a4c5-509748fffd10",
"name": "스티키 노트7",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
0
],
"parameters": {
"color": 3,
"width": 2544,
"height": 920,
"content": "## Categorize and Create Content Opportunities\n"
},
"typeVersion": 1
},
{
"id": "656ea262-9516-4ef9-9ac7-3748d18d0ae9",
"name": "스티키 노트8",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
960
],
"parameters": {
"color": 3,
"width": 2540,
"height": 920,
"content": "## Cluster and Create Content Opportunities\n"
},
"typeVersion": 1
},
{
"id": "85391b1c-4813-4466-a710-4055f8788421",
"name": "미확인 항목 필터링",
"type": "n8n-nodes-base.filter",
"position": [
880,
560
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "fa613938-57a8-49f6-a01b-723028c6cbf3",
"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{ $json.fields.Category }}",
"rightValue": "Unknown"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "7ad32cab-aa16-4f85-ac97-9b4c395ef649",
"name": "카테고리 테이블 필드 설정",
"type": "n8n-nodes-base.set",
"position": [
944,
240
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3f1f38b9-8941-4047-8904-270b17bfc2ed",
"name": "keyword",
"type": "string",
"value": "={{ JSON.parse($json.output).keyword }}"
},
{
"id": "849f572c-1339-4a83-bd4c-2b4c13cd80d4",
"name": "category",
"type": "string",
"value": "={{ JSON.parse($json.output).category }}"
},
{
"id": "5909d7fe-6050-490d-bf90-ad0817d882a0",
"name": "reasoning",
"type": "string",
"value": "={{ JSON.parse($json.output).reasoning }}"
},
{
"id": "aeb81379-fba7-483d-828c-427f2851ee87",
"name": "msv",
"type": "number",
"value": "={{ JSON.parse($json.output).msv }}"
},
{
"id": "3b7b8188-de51-4a6b-95cb-73a8de200996",
"name": "kw_difficulty",
"type": "number",
"value": "={{ JSON.parse($json.output).kw_difficulty }}"
},
{
"id": "013f802d-6c2e-4519-8104-5d3951f845cd",
"name": "search_intent",
"type": "string",
"value": "={{ JSON.parse($json.output).search_intent }}"
},
{
"id": "a2799b9e-8c28-4c02-8162-2874cae2bf2b",
"name": "competition",
"type": "string",
"value": "={{ JSON.parse($json.output).competition }}"
},
{
"id": "7929eaff-788c-43fa-899f-cd04953f8f7f",
"name": "cpc",
"type": "number",
"value": "={{ JSON.parse($json.output).cpc }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "43bb97fe-3742-4f59-a010-6f62e78015f7",
"name": "카테고리 테이블",
"type": "n8n-nodes-base.airtable",
"position": [
1168,
240
],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": "={{ $('Set Airtable Fields').item.json.airtable_base_id }}"
},
"table": {
"__rl": true,
"mode": "id",
"value": "={{ $('Set Airtable Fields').item.json.categories_table_id }}"
},
"columns": {
"value": {
"CPC": "={{ $json.cpc }}",
"MSV": "={{ $json.msv }}",
"Keyword": "={{ $json.keyword }}",
"Category": "={{ $json.category }}",
"Reasoning": "={{ $json.reasoning }}",
"Competition": "={{ $json.competition }}",
"KW Difficulty": "={{ $json.kw_difficulty }}",
"Search Intent": "={{ $json.search_intent }}"
},
"schema": [
{
"id": "Category",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Category",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Keyword",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Keyword",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Reasoning",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Reasoning",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "MSV",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "MSV",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "KW Difficulty",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "KW Difficulty",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Search Intent",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Search Intent",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Competition",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Competition",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "CPC",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "CPC",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "create"
},
"credentials": {
"airtableTokenApi": {
"id": "IdMuG6Ja3xc0kVnw",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "e20decb0-fd75-4cd4-8b4c-3143d2dd9217",
"name": "카테고리 필드에서 콘텐츠 설정",
"type": "n8n-nodes-base.set",
"position": [
1104,
560
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "cae1e309-cab6-472a-9bfc-75448a504455",
"name": "keyword",
"type": "string",
"value": "={{ $json.fields.Keyword }}"
},
{
"id": "1c725316-fa66-401c-b028-6039c7845540",
"name": "category",
"type": "string",
"value": "={{ $json.fields.Category }}"
},
{
"id": "328a070b-312e-4c39-bacb-970d0e485e7a",
"name": "reasoning",
"type": "string",
"value": "={{ $json.fields.Reasoning }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "852c9c71-f2bd-4aa6-abed-5f6a4aee633d",
"name": "카테고리 AI 에이전트",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
192,
368
],
"parameters": {
"text": "=Please categorize the following keywords according to the rules. Ensure every keyword is processed and included in the output.\n\nKeyword to Categorize and Data for Categorization:\n {{ $json.keyword }}\n{{ $json.msv }}\n{{ $json.search_intent }}\n{{ $json.kw_difficulty }}\n{{ $json.competition }}\n{{ $json.cpc }}\n",
"options": {
"systemMessage": "You are an AI agent specialized in analyzing and categorizing SEO keywords and search intent signals.\n\nCategorization Rules:\n1. Quick Wins:\n - MSV > 100 AND KW Difficulty < 30\n - These are opportunities for relatively fast ranking\n\n2. Authority Builders:\n - KW Difficulty > 50 AND MSV > 200\n - High-value terms worth investing in for authority building\n\n3. Emerging Topics:\n - MSV < 100 OR (doesn't fit Quick Wins AND shows future potential)\n - Focus on search intent and growth potential\n- Represent trends or novel concepts that are likely to grow in popularity\n\n4. Intent Signals:\n - People Also Ask questions\n - Direct user questions that show search intent\n - Good opportunities for featured snippets and AI results\n - Categorize here even if metrics are missing\n\n5. Semantic Topics:\n - Autocomplete suggestions and semantic subtopics\n - Related concepts that build topic authority\n - Categorize here even if metrics are missing\n\n6. Unknown:\n - Keywords that don't fit other categories\n - Or have insufficient data and aren't questions/semantic topics\n\nReturn only a JSON object for each keyword with these exact fields:\n{\n \"keyword\": \"exact keyword text\",\n \"category\": \"Quick Wins|Authority Builders|Emerging Topics|Intent Signals|Semantic Topics|Unknown\",\n \"reasoning\": \"brief explanation of categorization\",\n \"msv\": number or null,\n \"kw_difficulty\": number or null,\n \"search_intent\": \"original intent or null\",\n \"competition\": \"original competition or null\",\n \"cpc\": number or null\n}\n\n\nImportant: Return ONLY the JSON object with NO line breaks (\\n), NO extra spaces, and NO additional text.\n\nImportant:\n- Process EVERY keyword in the input\n- Preserve all original data\n- Ensure total_processed matches input count\n- Provide brief reasoning for each categorization\n- please be accurate with the language, if the researches are made in Dutch, write in Dutch"
},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "61240f06-f973-49de-9327-08130f0a3b39",
"name": "카테고리 AI 에이전트의 콘텐츠 아이디어",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1584,
640
],
"parameters": {
"text": "=For each keyword, analyze its category and reasoning to create:\n\n1. A title that:\n - Captures search intent\n - Is engaging and clickable\n - Includes the main keyword naturally\n - Is optimized for both search and social sharing\n - Is under 60 characters\n - Aligns with the category context: {{ $json.category }}\n \n2. A description that:\n - Clearly outlines the main topics and key points the article should cover\n - Indicates specific value readers will gain\n - Provides enough context to guide content creation\n - Naturally incorporates the keyword\n - Is concise but comprehensive (aim for 2-3 sentences)\n - Considers the categorization reasoning: {{ $json.reasoning }}\n\nInput:\n\n{{ $json.keyword }}\n\nReturn a single-line JSON object with this structure (no line breaks):\n{\"keyword\":\"input keyword\",\"title\":\"created title\",\"description\":\"article description\"}",
"options": {
"systemMessage": "You are an AI content strategist specialized in creating engaging, SEO-optimized titles and article descriptions."
},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "ccf02d2e-596b-47fa-bea5-9f5ba666c054",
"name": "워크플로 필드 설정",
"type": "n8n-nodes-base.set",
"position": [
-208,
864
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "acee4494-86dc-4f48-b5d8-e18e7db9eaaa",
"name": "keyword",
"type": "string",
"value": "={{ $json.Keyword }}"
},
{
"id": "575ec827-4dd3-4d4c-8aca-14c80f4a9015",
"name": "record_id",
"type": "string",
"value": "={{ $json.id }}"
},
{
"id": "b5d76b17-8473-4369-9c50-7c0194bce34e",
"name": "primary_keyword",
"type": "string",
"value": "={{ $json['Primary Keyword'] }}"
},
{
"id": "8e4e71d4-662f-4c59-9f01-5b0f14ffb54f",
"name": "competition",
"type": "string",
"value": "={{ $json.Competition }}"
},
{
"id": "5925b3bb-8581-4dfa-9aec-b3578cabef35",
"name": "msv",
"type": "number",
"value": "={{ $json.MSV }}"
},
{
"id": "4de58314-1701-4a95-9826-f28233c1a87d",
"name": "search_intent",
"type": "string",
"value": "={{ $json['Search Intent'] }}"
},
{
"id": "dfb906d8-3c2e-446e-bee3-d24ba4610927",
"name": "kw_difficulty",
"type": "number",
"value": "={{ $json['KW Difficulty'] }}"
},
{
"id": "2fdf1cd1-742b-418b-8966-33823c5aa90b",
"name": "type",
"type": "string",
"value": "={{ $json.Type }}"
},
{
"id": "89472023-1df7-4d64-b874-9106dee97866",
"name": "cpc",
"type": "number",
"value": "={{ $json.CPC }}"
},
{
"id": "9fdccded-22de-4daf-86bb-67ae1db5bfec",
"name": "Date Pulled from D4SEO",
"type": "string",
"value": "={{ $json['Date Pulled from D4SEO'] }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "9eb70197-dc70-4696-8c0f-3175200d2bc3",
"name": "콘텐츠 아이디어 테이블 필드 설정",
"type": "n8n-nodes-base.set",
"position": [
1952,
640
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3b11eddb-dfa2-4e28-a4e5-8cf3996e3e56",
"name": "keyword",
"type": "string",
"value": "={{ JSON.parse($json.output).keyword }}"
},
{
"id": "eaa730fd-678f-42fb-95d7-fb0210fefcd7",
"name": "title",
"type": "string",
"value": "={{ JSON.parse($json.output).title }}"
},
{
"id": "eb7f4d7d-c669-4f13-acfc-109e6af78f96",
"name": "description",
"type": "string",
"value": "={{ JSON.parse($json.output).description }}"
},
{
"id": "76254565-f080-41d6-b8ed-e71d22c315da",
"name": "primary_keyword",
"type": "string",
"value": "={{ $('Set WF Fields').item.json.primary_keyword }}"
},
{
"id": "619a217e-8526-499d-826a-8874364f0b3b",
"name": "reasoning",
"type": "string",
"value": "={{ $('Filter Out Unknown').item.json.fields.Reasoning }}"
},
{
"id": "74a4cb6e-8ca6-4ebe-b821-1b26d018d1b8",
"name": "category",
"type": "string",
"value": "={{ $('Filter Out Unknown').item.json.fields.Category }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "27cbaea3-5b5d-4c2c-b687-3f0784aec8a7",
"name": "카테고리별 콘텐츠 아이디어 테이블",
"type": "n8n-nodes-base.airtable",
"position": [
2160,
640
],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": "={{ $('Set Airtable Fields').item.json.airtable_base_id }}"
},
"table": {
"__rl": true,
"mode": "id",
"value": "={{ $('Set Airtable Fields').item.json.content_ideas_from_kws_table_id }}"
},
"columns": {
"value": {
"Title": "={{ $json.title }}",
"Status": "Not Started",
"Keyword": "={{ $json.keyword }}",
"Category": "={{ $json.category }}",
"Reasoning": "={{ $json.reasoning }}",
"Description": "={{ $json.description }}",
"Primary Keyword": "={{ $json.primary_keyword }}"
},
"schema": [
{
"id": "Title",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
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{
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"assignments": [
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{
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"text": "=Analyze ALL keywords as a complete dataset and identify natural semantic clusters. Let the number and size of clusters emerge from the relationships in the data. Each keyword should be assigned to its most relevant cluster based on semantic meaning and user intent.\n\nGuidelines for clustering:\n- Identify genuine thematic relationships across keywords\n- Group keywords based on semantic similarity and shared user intents\n- Consider how different keyword types complement each other in revealing topic patterns\n- Let cluster count and size be determined by the natural groupings in the data\n- Each keyword should belong to exactly one cluster\n\nReturn a single-line JSON object with this structure (no line breaks):\n{\n \"total_keywords_processed\": number,\n \"number_of_clusters\": number,\n \"clusters\": [\n {\n \"cluster_name\": \"descriptive name\",\n \"core_topic\": \"main theme or focus\",\n \"intent_pattern\": \"primary user intent pattern\",\n \"keywords\": [\"array of all keywords in this cluster\"],\n \"reasoning\": \"explanation of why these keywords form a coherent cluster\",\n \"primary_keyword\": \"the primary keyword\"\n }\n ]\n}\n\nIMPORTANT: Do not include extra spaces, backticks ```, or any comments about what you did. Do not include \\n in any part of the output.\n\nInput data:\n{{ $json.keyword_dataset }}\n\n",
"options": {
"systemMessage": "=You are an AI expert in semantic analysis and content clustering. Your task is to analyze a collection of keywords holistically and identify natural semantic clusters based on:\n- Thematic relationships\n- User intent patterns\n- Topic hierarchies\n- Search behavior signals across different keyword types (direct searches, questions, suggestions)\n\nConsider both keywords with metrics (search_intent) and those without (people also ask, subtopics, autocomplete) as they represent different aspects of user intent."
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"assignments": [
{
"id": "99ad3918-128a-4617-a7b0-d4aac162316c",
"name": "items",
"type": "array",
"value": "={{ $json.output.parseJson().clusters }}"
},
{
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"name": "number_of_clusters",
"type": "string",
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{
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"color": 3,
"width": 540,
"height": 820,
"content": "# Setup \n\n## 1. Copy this Airtable base: [KW Research Content Ideation](https://airtable.com/apphzhR0wI16xjJJs/shrsojqqzGpgMJq9y)\n## Important: Copy the base. Please do not ask for access. \n## 2. Set Airtable Base Id\nWith your (copied) Airtable base open (to any table), copy the base id from the url.\n\nThe base id begins with app. For example: https://airtable.com/apphzhR0wI16xjJJs/tblewTSMwBdGQKUuZ/\napphzhR0wI16xjJJs is the base id. Enter this into the Set Airtable Fields node.\n\n## 3. Enter the table id of the following tables into the Set Airtable Fields node.\n- Master All KW Variations\n- Keyword Categories\n- Content Ideas for Keywords\n- Clusters\n- Content Ideas from Clusters\n\nThe table id is after the base id. For example.\nhttps://airtable.com/apphzhR0wI16xjJJs/tblD8sMi6W4EikkN4/viw8DZMvccWGY7YuO?blocks=hide\n\ntblD8sMi6W4EikkN4 is the table id.\n\n## 4. Test your automation\nSelect Test Workflow."
},
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"name": "Airtable 필드 설정",
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},
{
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"type": "string",
"value": "tblD8sMi6W4EikkN4"
},
{
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"value": "tblRDR7uE4b73ZpRt"
},
{
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{
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},
{
"id": "5bb24a3e-a434-4817-9041-b39bbe09c60b",
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},
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"value": "={{ $json.master_all_kw_variations_table_id }}"
},
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"operation": "search"
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"name": "Airtable Personal Access Token account"
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{
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"type": "n8n-nodes-base.airtable",
"position": [
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"parameters": {
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"mode": "id",
"value": "={{ $('Set Airtable Fields').item.json.airtable_base_id }}"
},
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"mode": "id",
"value": "={{ $('Set Airtable Fields').item.json.content_ideas_from_clusters_table_id }}"
},
"columns": {
"value": {
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"Title": "={{ $json.title }}",
"Status": "Not Started",
"Keyword": "={{ $json.keyword }}",
"Reasoning": "={{ $json.reasoning }}",
"Description": "={{ $json.description }}",
"Cluster Name": "={{ $json.cluster_name }}",
"Primary Keyword": "={{ $('Set WF Fields').first().json.primary_keyword }}"
},
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{
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{
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},
{
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"removed": false,
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},
{
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"required": false,
"displayName": "Reasoning",
"defaultMatch": false,
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},
{
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"display": true,
"options": [
{
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},
{
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},
{
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"value": "Complete"
},
{
"name": "Delete",
"value": "Delete"
}
],
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"displayName": "Status",
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{
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},
{
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"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
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"name": "Airtable Personal Access Token account"
}
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"typeVersion": 2.1
},
{
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"name": "클러스터 테이블",
"type": "n8n-nodes-base.airtable",
"position": [
1872,
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],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": "={{ $('Set Airtable Fields').item.json.airtable_base_id }}"
},
"table": {
"__rl": true,
"mode": "id",
"value": "={{ $('Set Airtable Fields').item.json.clusters_table_id }}"
},
"columns": {
"value": {
"Intent": "={{ $('Set Fields for Airtable').item.json.intent_pattern }}",
"Keywords": "={{ $json.keywords }}",
"Reasoning": "={{ $('Set Fields for Airtable').item.json.reasoning }}",
"Core Topic": "={{ $('Set Fields for Airtable').item.json.core_topic }}",
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"Primary Keyword": "={{ $('Set Fields for Airtable').item.json.primary_keyword }}"
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"mode": "list",
"value": "chatgpt-4o-latest",
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{
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"name": "OpenAI 채팅 모델3",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
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1392
],
"parameters": {
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"mode": "list",
"value": "chatgpt-4o-latest",
"cachedResultName": "chatgpt-4o-latest"
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},
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}
},
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}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
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"main": [
[
{
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}
}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
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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