Twitter 브랜드 자동 홍보
고급
이것은Social Media, Multimodal AI분야의자동화 워크플로우로, 26개의 노드를 포함합니다.주로 Set, Code, Wait, Merge, Twitter 등의 노드를 사용하며. 사용Anthropic Claude AI및Google Sheets보고서자동进行Twitter品牌推广
사전 요구사항
- •Twitter API 인증 정보
- •대상 API의 인증 정보가 필요할 수 있음
- •Google Sheets API 인증 정보
- •Anthropic API Key
사용된 노드 (26)
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
{
"meta": {
"instanceId": "76f89f83c161d3dc4a2a2307b8474c26e91222cc4714d0dbc0ef5a91b47e83d1"
},
"nodes": [
{
"id": "2c0b215c-a4a7-4262-8c34-9f027656eee7",
"name": "'워크플로우 테스트' 클릭 시",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-1056,
752
],
"parameters": {},
"typeVersion": 1
},
{
"id": "1d7bf16c-e641-4fd0-bbb0-c1837280e310",
"name": "Twitter 키워드 검색",
"type": "n8n-nodes-base.httpRequest",
"position": [
32,
912
],
"parameters": {
"url": "https://api.twitterapi.io/twitter/tweet/advanced_search",
"options": {
"redirect": {
"redirect": {
"maxRedirects": 5
}
}
},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "query",
"value": "={{ $json.keyword }} within_time:4h"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "e4055a63-bce0-4e1e-a574-c51f0361e40e",
"name": "트윗 분할",
"type": "n8n-nodes-base.code",
"position": [
240,
912
],
"parameters": {
"jsCode": "const out = [];\nlet passed = 0;\nconst postsCount = $('Code').first().json.postsCount\nconst limit = postsCount && postsCount == 15 ? 2 : 3\nfor (const item of items) {\n\tif (passed >= limit) break;\n\n\tconst tweets = Array.isArray(item.json.tweets) ? item.json.tweets : [];\n\n\tfor (const tweet of tweets) {\n\t\tif (passed >= limit) break;\n\n\t\tout.push({ json: tweet });\n\t\tpassed++;\n\t}\n}\n\nreturn out;"
},
"typeVersion": 2
},
{
"id": "5028b80c-05e3-4e92-b835-be6bd700e993",
"name": "Anthropic 채팅 모델",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
432,
1072
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-sonnet-4-20250514",
"cachedResultName": "Claude Sonnet 4"
},
"options": {
"thinking": true
}
},
"typeVersion": 1.3
},
{
"id": "59d75362-f229-4b3a-a7c9-127b71a5ca01",
"name": "메모7",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1104,
384
],
"parameters": {
"width": 936,
"height": 292,
"content": "## How to configure the workflow\n- Connect your Google Account to all the Google Spreadsheets nodes (Tutorial: https://www.youtube.com/watch?v=pWGXlZBGu4k)\n- In Google Sheets, create Spreadsheet and select it in 'Document' field in n8n Google Sheets nodes\n- Connect your Twitter account to 'Post on Twitter' node (Tutorial: https://www.youtube.com/watch?v=jxKKwYZQF7Q)\n- Connect your twitterapi.io account to 'Twitter Search by Keyword' node (Tutorial: https://www.youtube.com/watch?v=lEo7IAgj0UY)\n- Connect your Anthropic account (Tutorial: https://www.youtube.com/watch?v=1jl_vBoVvq0)\n- In 'Compose Comment' node, change all the [PLACEHOLDERS] with your company/brand/platform info. That would be used to write a good promotion\n\n## Starting the workflow\nAfter all services are connected - make sure to enter your keyword into 'SET KEYWORD' node and activate the workflow!"
},
"typeVersion": 1
},
{
"id": "f1d0b207-c0bc-4166-8f75-a0500f350532",
"name": "스케줄 트리거 (4시간마다)",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-1056,
912
],
"parameters": {
"rule": {
"interval": [
{
"field": "cronExpression",
"expression": "0 */4 * * *"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "59da790b-ea84-499d-96d7-268d1eae8ba2",
"name": "병합",
"type": "n8n-nodes-base.merge",
"position": [
2048,
928
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineAll"
},
"typeVersion": 3.1
},
{
"id": "ee824981-b9ad-4a9a-8f7a-6a260b52d206",
"name": "대기",
"type": "n8n-nodes-base.wait",
"position": [
1264,
1008
],
"webhookId": "b0b4e954-1996-46a5-b079-03514fa527b1",
"parameters": {
"unit": "minutes",
"amount": 8
},
"typeVersion": 1.1
},
{
"id": "b9276e2c-91e3-4b5b-bca2-b1890bb764c4",
"name": "항목별 반복",
"type": "n8n-nodes-base.splitInBatches",
"position": [
848,
1008
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "17bc3f5d-d4d5-4312-9b14-3597325cdce4",
"name": "코드",
"type": "n8n-nodes-base.code",
"position": [
-416,
912
],
"parameters": {
"jsCode": "return [\n {\n json: {\n postsCount: items.length\n }\n }\n];\n"
},
"typeVersion": 2
},
{
"id": "556854ab-18e1-40dd-ab1a-3dcbcc4eefef",
"name": "메모8",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1104,
688
],
"parameters": {
"color": 2,
"width": 1460,
"height": 524,
"content": "## Search twitter posts by keyword\n"
},
"typeVersion": 1
},
{
"id": "cb922ea9-28fd-4d6f-b3f4-aafdd3e8d4bb",
"name": "메모9",
"type": "n8n-nodes-base.stickyNote",
"position": [
384,
688
],
"parameters": {
"width": 360,
"height": 524,
"content": "## Generate comments"
},
"typeVersion": 1
},
{
"id": "6fd07700-e18c-456d-90f9-66b720f543bc",
"name": "메모10",
"type": "n8n-nodes-base.stickyNote",
"position": [
768,
960
],
"parameters": {
"color": 4,
"width": 680,
"height": 252,
"content": "## Post comments"
},
"typeVersion": 1
},
{
"id": "3e0109da-83dd-474d-8e7f-8bf40606f7f5",
"name": "메모11",
"type": "n8n-nodes-base.stickyNote",
"position": [
768,
688
],
"parameters": {
"color": 5,
"width": 1200,
"height": 252,
"content": "## Add post URL and our response to Google Sheets or create a new Google Sheet"
},
"typeVersion": 1
},
{
"id": "033377fd-96f1-44f9-b233-f95f3a6ffba2",
"name": "메모12",
"type": "n8n-nodes-base.stickyNote",
"position": [
1984,
688
],
"parameters": {
"color": 6,
"width": 500,
"height": 524,
"content": "## Add post URL and our response to new Google Sheet"
},
"typeVersion": 1
},
{
"id": "217c57d4-ef8a-4bd8-b910-d410481e67c7",
"name": "병합2",
"type": "n8n-nodes-base.merge",
"position": [
1632,
1008
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3.1
},
{
"id": "83734eeb-360c-46f2-af58-2a4adebeb674",
"name": "오늘 날짜 자동 설정",
"type": "n8n-nodes-base.set",
"position": [
-864,
912
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "8f57bd63-358c-4739-963f-0af7acdf8f49",
"name": "date",
"type": "string",
"value": "={{ $now.format('dd-MM-yyyy') }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "22c76bb7-c638-4e0d-99fe-96a90bf045d2",
"name": "오늘 날짜의 Google 시트 존재 여부 확인",
"type": "n8n-nodes-base.googleSheets",
"onError": "continueErrorOutput",
"position": [
-640,
912
],
"parameters": {
"options": {
"dataLocationOnSheet": {
"values": {
"rangeDefinition": "detectAutomatically"
}
}
},
"sheetName": {
"__rl": true,
"mode": "name",
"value": "={{ $json.date }}"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": ""
}
},
"typeVersion": 4.5
},
{
"id": "fdbf65b5-4bb2-42f7-9d98-560db70832b3",
"name": "키워드 설정",
"type": "n8n-nodes-base.set",
"position": [
-208,
912
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "a2458504-ece3-425b-8338-17a197d7bd07",
"name": "keyword",
"type": "string",
"value": "=ENTER YOU KEYWORD HERE"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "4bd14543-f50b-4c3f-ab96-31e1ed3c2412",
"name": "댓글 작성",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
464,
912
],
"parameters": {
"text": "=You are an experienced social media strategist crafting authentic Twitter responses that naturally introduce [PLATFORM_NAME]. Your goal is to create genuine value while subtly building curiosity about the platform.\nAbout [PLATFORM_NAME]:\n<platform_info>\n[PLATFORM_DESCRIPTION_PLACEHOLDER - INSERT DETAILED DESCRIPTION OF THE PLATFORM, ITS FEATURES, TARGET AUDIENCE, VALUE PROPOSITION, AND KEY BENEFITS HERE]\n</platform_info>\nTwitter Post to Analyze:\n<post>\n{{ $json.text }}\n</post>\nCRITICAL INSTRUCTION: If the post content is empty, missing, unclear, or you cannot determine the context for ANY reason, you MUST still generate a response. Use this fallback response: \"Great post, thanks!\"\nStrategic Approach:\n\nDeep Psychological Analysis:\n\nIdentify the emotional state: Is the user frustrated, excited, curious, or seeking validation?\nSpot the underlying need: What are they really looking for beyond their surface question?\nApply reciprocity principle: Offer genuine value first before any mention\nUse social proof: Reference community experiences when relevant\n\nEngagement Psychology Techniques:\n\nPattern interrupt: Start with an unexpected but relevant insight\nCuriosity gap: Create intrigue without immediately satisfying it\nAuthority positioning: Share insights as someone \"in the know\"\nFear of missing out: Subtle implications of opportunity cost\nBandwagon effect: Reference what \"[TARGET_AUDIENCE_SMART_USERS]\" are doing\n\nResponse Structure (Choose ONE approach):\nOption A - Problem Agitation Solution:\n\nAcknowledge their pain point empathetically\nSlightly amplify the consequence of inaction\nIntroduce [PLATFORM_NAME] as the insider solution\nOption B - Social Proof Story:\nShare a brief, relatable \"I heard about...\" story\nConnect to their situation naturally\nMention [PLATFORM_NAME] as the source/solution\nOption C - Curiosity Hook:\nMake an intriguing observation about their situation\nDrop a hint about \"something most people don't know\"\nCasually reference [PLATFORM_NAME] discovery\n\nAdvanced Twitter Authenticity:\n\nTiming cues: Use phrases like \"just saw this\", \"been noticing\", \"recently discovered\"\nCasual errors: Occasional typos, lowercase starts, informal grammar\nTwitter vernacular: \"ngl\", \"tbh\", \"fr\", \"lowkey\", \"deadass\"\nCommunity insider language: Reference subreddit culture, memes\nVulnerable sharing: Admit small mistakes or learning moments\n\n[PLATFORM_NAME] Integration Strategies:\nStealth mentions:\n\n\"stumbled across [PLATFORM_NAME] while researching...\"\n\"someone mentioned [PLATFORM_NAME] in another thread...\"\n\"been using this thing called [PLATFORM_NAME] to...\"\nValue-first approaches:\n\"before you [RELEVANT_ACTION], maybe check if they're on [PLATFORM_NAME]?\"\n\"[PLATFORM_NAME] has saved me from [RELEVANT_PROBLEM] ngl\"\n\"[TARGET_USERS] with good [PLATFORM_NAME] [RELEVANT_METRICS] are usually worth it\"\nFOMO triggers:\n\"wish I knew about [PLATFORM_NAME] before I [RELEVANT_MISTAKE]...\"\n\"smart [TARGET_AUDIENCE] are using [PLATFORM_NAME] to [KEY_BENEFIT]\"\n\"the [TARGET_USERS] who promote their [PLATFORM_NAME] [RELEVANT_FEATURE] are usually the best\"\n\nConversion Psychology:\n\nScarcity: Imply limited time/opportunity\nAuthority: Position as coming from experience\nCommitment: Get small agreements before big asks\nSocial validation: Reference what others are doing\nFinal Output Requirements:\n1-3 sentences maximum\nNatural Twitter tone with strategic imperfections\nAddress their specific situation authentically\nPlant curiosity seeds about [PLATFORM_NAME]\nInclude ONE psychological trigger naturally\nMake them want to check it out WITHOUT asking directly\nAlways find a way to promote [PLATFORM_NAME]. There is no way you answer with \"[PLATFORM_NOT_RELEVANT_RESPONSE]\" or something similar.\nABSOLUTE RULE: You MUST ALWAYS generate a comment. Never explain that you can't see the post or need more information. If you cannot understand the post or it's empty, immediately output: \"Great post — thanks for sharing! If you'd like [KEY_VALUE_PROPOSITION], give [PLATFORM_NAME] a look!\"\nRemember: The best marketing doesn't feel like marketing. Your comment should feel like helpful advice from someone who genuinely cares about their success.\nWrite only the comment content - no explanations or meta-text.",
"options": {
"systemMessage": "You are a helpful twitter user that wants to share his good experience in using mentioned platform"
},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "fd836e42-b06e-4193-b06d-cee77ec32817",
"name": "Twitter에 게시",
"type": "n8n-nodes-base.twitter",
"onError": "continueRegularOutput",
"maxTries": 2,
"position": [
1040,
1008
],
"parameters": {
"text": "={{ $json.output }}",
"additionalFields": {
"inReplyToStatusId": {
"__rl": true,
"mode": "id",
"value": "={{ $('Split tweets').item.json.id }}"
}
}
},
"retryOnFail": true,
"typeVersion": 2,
"waitBetweenTries": 5000
},
{
"id": "3d6da3a0-2d1a-44a6-8257-37a4ba58af50",
"name": "보고서 테이블에 정보 추가",
"type": "n8n-nodes-base.googleSheets",
"onError": "continueErrorOutput",
"position": [
1184,
768
],
"parameters": {
"columns": {
"value": {
"Keyword": "={{ $('SET KEYWORD').item.json.keyword }}",
"Post URL": "={{ $('Split tweets').item.json.url }}",
"Our response": "={{ $('Compose Comment').item.json.output }}"
},
"schema": [
{
"id": "Post URL",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Post URL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Our response",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Our response",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Keyword",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Keyword",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "name",
"value": "={{ $now.format('dd-MM-yyyy') }}"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": ""
}
},
"typeVersion": 4.5
},
{
"id": "3086ede8-79e3-4965-ab5f-371cb3c4674f",
"name": "새 시트 생성",
"type": "n8n-nodes-base.googleSheets",
"position": [
1408,
800
],
"parameters": {
"title": "={{ $now.format('dd-MM-yyyy') }}",
"options": {},
"operation": "create",
"documentId": {
"__rl": true,
"mode": "list",
"value": ""
}
},
"typeVersion": 4.5
},
{
"id": "73f906ac-c96e-4230-bd70-e5b91e7c0bdc",
"name": "시트 헤더 정의",
"type": "n8n-nodes-base.set",
"position": [
1632,
768
],
"parameters": {
"values": {
"string": [
{
"name": "headers",
"value": "={{ [\n \"Post URL\",\n \"Our response\",\n\"Keyword\"\n] }}"
},
{
"name": "date",
"value": "={{ $now.format('dd-MM-yyyy') }}"
}
]
},
"options": {}
},
"typeVersion": 1
},
{
"id": "c31975c8-8667-48ae-90ac-c4d25d07491b",
"name": "시트에 헤더 추가",
"type": "n8n-nodes-base.httpRequest",
"position": [
1840,
768
],
"parameters": {
"url": "=https://sheets.googleapis.com/v4/spreadsheets/{{ $('Define sheet headers').item.json.spreadsheetId }}/values/{{ $json.date }}!A:Z",
"method": "PUT",
"options": {},
"sendBody": true,
"sendQuery": true,
"authentication": "predefinedCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "range",
"value": "={{ $json.date }}!A:Z"
},
{
"name": "values",
"value": "={{ [$json.headers] }}"
}
]
},
"queryParameters": {
"parameters": [
{
"name": "valueInputOption",
"value": "RAW"
}
]
},
"nodeCredentialType": "googleSheetsOAuth2Api"
},
"typeVersion": 4.1
},
{
"id": "7b915f79-1299-4c33-a521-543bd2b1020d",
"name": "보고서 테이블에 정보 추가1",
"type": "n8n-nodes-base.googleSheets",
"position": [
2272,
928
],
"parameters": {
"columns": {
"value": {
"Keyword": "={{ $('SET KEYWORD').item.json.keyword }}",
"Post URL": "={{ $('Split tweets').item.json.url }}",
"Our response": "={{ $('Compose Comment').item.json.output }}"
},
"schema": [
{
"id": "Post URL",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Post URL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Our response",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Our response",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Keyword",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Keyword",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "name",
"value": "={{ $now.format('dd-MM-yyyy') }}"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": ""
}
},
"typeVersion": 4.5
}
],
"pinData": {},
"connections": {
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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?
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