AI 인공지능 셀프러언치아이 블록체인
고급
이것은AI, Marketing분야의자동화 워크플로우로, 29개의 노드를 포함합니다.주로 Set, Switch, HttpRequest, Agent, OpenAi 등의 노드를 사용하며인공지능 기술을 결합하여 스마트 자동화를 구현합니다. AI 인공지능 셀프아이디언으로 YouTube 댓글을 추출하고 분석하여 통찰력을 얻습니다.
사전 요구사항
- •대상 API의 인증 정보가 필요할 수 있음
- •OpenAI API Key
- •PostgreSQL 데이터베이스 연결 정보
사용된 노드 (29)
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": "6a2a7715680b8313f7cb4676321c5baa46680adfb913072f089f2766f42e43bd"
},
"nodes": [
{
"id": "f4b3833b-cf25-4bbc-927c-080586c5713c",
"name": "메모9",
"type": "n8n-nodes-base.stickyNote",
"position": [
700,
760
],
"parameters": {
"color": 7,
"width": 330.5152611046425,
"height": 239.5888196628349,
"content": "### ... or watch set up video [13 min]\n[](https://youtu.be/6RmLZS8Yl4E)\n"
},
"typeVersion": 1
},
{
"id": "64d96c53-b3e2-4aea-9a29-9b9e5c729f4f",
"name": "메모7",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
240
],
"parameters": {
"color": 7,
"width": 636.2128494576581,
"height": 497.1532689930921,
"content": "\n## AI Agent To Chat With Youtube\n**Made by [Mark Shcherbakov](https://www.linkedin.com/in/marklowcoding/) from community [5minAI](https://www.skool.com/5minai)**\n\nNavigating the content generation and optimization process can be complex, especially without significant audience insight. This workflow automates insights extraction from YouTube videos and comments, empowering users to create more engaging and relevant content effectively.\n\nThe workflow integrates various APIs to gather insights from YouTube videos, enabling automated commentary analysis, video transcription, and thumbnail evaluation. The main functionalities include:\n- Extracting user preferences from comments.\n- Transcribing video content for enhanced understanding.\n- Analyzing thumbnails via AI for maximum viewer engagement insights.\n\n"
},
"typeVersion": 1
},
{
"id": "57d2ede9-1bf9-4449-9dc9-af1ccee763b6",
"name": "메모6",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
760
],
"parameters": {
"color": 7,
"width": 280.2462120317618,
"height": 545.9087885077763,
"content": "### Set up steps\n\n1. **API Setup**:\n - Create a [Google Cloud](https://console.cloud.google.com/apis/dashboard) project and enable the YouTube Data API.\n - Generate an API key for [Apify](https://www.apify.com?fpr=ujogj).\n - Generate API key for [OpenAI](https://platform.openai.com)\n - Create all credentials in N8N - OpenAI, Apify, Google Cloud.\n\n2. **YouTube Creator and Video Selection**:\n - Start by defining a request to identify top creators based on their video views.\n - Capture the YouTube video IDs for further analysis of comments and other video metrics.\n\n3. **Comment Analysis**:\n - Gather comments associated with the selected videos and analyze them for user insights.\n - Implement pagination to handle the maximum comment retrieval limits in API requests.\n\n4. **Video Transcription**:\n - Request transcriptions for videos of interest, ensuring to manage potential costs associated with longer video processing.\n - Utilize the insights from transcriptions to formulate content plans.\n\n5. **Thumbnail Analysis**:\n - Evaluate your video thumbnails by submitting the URL through the OpenAI API to gain insights into their effectiveness.\n\n6. **Data Management**:\n - Incorporate a database agent to organize video data and metrics, allowing efficient record management and future content planning."
},
"typeVersion": 1
},
{
"id": "ca0fd549-88a7-44fd-ab81-7fd5ca140dae",
"name": "OpenAI 채팅 모델",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1540,
820
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "zJhr5piyEwVnWtaI",
"name": "OpenAi club"
}
},
"typeVersion": 1
},
{
"id": "7f2cf209-2e9d-4d6a-bc9e-d1bfd6df7266",
"name": "get_channel_details",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
1900,
820
],
"parameters": {
"name": "get_channel_details",
"fields": {
"values": [
{
"name": "command",
"stringValue": "=get_channel_details"
}
]
},
"schemaType": "manual",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "FgknOUpOBkpY85NX",
"cachedResultName": "Youtube parser - tools"
},
"description": "Get channel_id, title and description by handle/username.\nChannel_id is required to find videos and details about this channel.\nIf Youtube link to channel provided - parse handle from there or return channel_id. (e.g. https://www.youtube.com/@example_handle - example_handle)\n\n\nExample Input:\nexample_handle\n\nExample Output:\nid:UCOgz_YflAsYnGbdvzXuKNCA\ntitle:Daniel Simmons\ndescription:Digital Diary 🤎\\n\\n\\nWeekly videos around fashion...",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"handle\": {\n \"type\": \"string\",\n \"description\": \"Handle/username of channel\"\n }},\n \"required\": [\"handle\"]\n}",
"specifyInputSchema": true
},
"typeVersion": 1.2
},
{
"id": "c02f5c19-6e50-4a06-95b9-eceb3eec1012",
"name": "get_video_description",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
2020,
820
],
"parameters": {
"name": "get_video_description",
"fields": {
"values": [
{
"name": "command",
"stringValue": "video_details"
}
]
},
"schemaType": "manual",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "FgknOUpOBkpY85NX",
"cachedResultName": "Youtube parser - tools"
},
"description": "Fetch video details - the full description, title, and publish date of a video using its video_id.\n\nExample input:\nvideo_id:dQw4w9WgXcQ\n\nExample Output:\ntitle:Never Gonna Give You Up\ndescription: \"The official video for “Never Gonna Give You Up” by Rick Astley.\nduration:4 min\nviewCount:154\nlikeCount:6\nthumbnails: urls",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"video_id\": {\n \"type\": \"string\",\n \"description\": \"The ID of the video to fetch details for\"\n }\n },\n \"required\": [\"video_id\"]\n}",
"specifyInputSchema": true
},
"typeVersion": 1.2
},
{
"id": "2d61160b-3a65-4766-ace6-947a7c5de6e5",
"name": "get_list_of_videos",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
2140,
820
],
"parameters": {
"name": "get_list_of_videos",
"fields": {
"values": [
{
"name": "command",
"stringValue": "videos"
}
]
},
"schemaType": "manual",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "FgknOUpOBkpY85NX",
"cachedResultName": "Youtube parser - tools"
},
"description": "Retrieve a list of videos from a channel using channel_id. Supports sorting by date, relevance, or view count.\n\nExample Input:\nchannel_id\": \"UCxxxxxxxxxxxxxxxx\"\nnumber_of_videos\": 5\norder: \"date\"\npublishedAfter: \"timestamp\"\n\nExample Output:\nvideo_id:abc123\ntitle:Latest Video\nshort cut description:Latest Video\npublished_at:2023-12-05T10:00:00Z",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"channel_id\": {\n \"type\": \"string\",\n \"description\": \"The ID of the channel to fetch videos from\"\n },\n \"number_of_videos\": {\n \"type\": \"integer\",\n \"description\": \"The maximum number of videos to retrieve (max 50)\"\n },\n \"order\": {\n \"type\": \"string\",\n \"enum\": [\"date\", \"relevance\", \"viewCount\"],\n \"description\": \"Order in which to fetch videos\"\n },\n \"publishedAfter\": {\n \"type\": \"string\",\n \"description\": \"Timestamp for filtering like 2023-11-03T15:28:05Z.\"\n }\n },\n \"required\": [\"channel_id\", \"number_of_videos\", \"order\"]\n}",
"specifyInputSchema": true
},
"typeVersion": 1.2
},
{
"id": "c5aa2f7c-7748-4f88-abb6-fd274ad1295a",
"name": "get_list_of_comments",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
2260,
820
],
"parameters": {
"name": "get_list_of_comments",
"fields": {
"values": [
{
"name": "command",
"stringValue": "comments"
}
]
},
"schemaType": "manual",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "FgknOUpOBkpY85NX",
"cachedResultName": "Youtube parser - tools"
},
"description": "Retrieve a list of comments from a video using video_id.\n\nInput:\n \"video_id\": \"dQw4w9WgXcQ\"\n\nOutput:\n \"author\": \"John Doe\",\n \"comment\": \"This is an amazing video!\",\n \"published_at\": \"2023-12-04T12:00:00Z\"",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"video_id\": {\n \"type\": \"string\",\n \"description\": \"The ID of the video to fetch comments from\"\n }\n },\n \"required\": [\"video_id\"]\n}",
"specifyInputSchema": true
},
"typeVersion": 1.2
},
{
"id": "c68cad77-1d71-45a3-b94b-8f7c701f56fb",
"name": "search",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
2380,
820
],
"parameters": {
"name": "search",
"fields": {
"values": [
{
"name": "command",
"stringValue": "search"
}
]
},
"schemaType": "manual",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "FgknOUpOBkpY85NX",
"cachedResultName": "Youtube parser - tools"
},
"description": "Search for videos or channels using a query. Supports filtering by type (video or channel) and sorting (date, viewCount, relevance). Use | for OR and - to exclude terms in the query.\n\nInput:\ntype: video or channel\nquery: search query\nsorting: date, viewCount, relevance\npublishedAfter: timestamp\n\nOutput:\n- id, title, short cut description, and published_at.",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"type\": {\n \"type\": \"string\",\n \"enum\": [\"video\", \"channel\"],\n \"description\": \"Type of results to retrieve: video or channel\"\n },\n \"query\": {\n \"type\": \"string\",\n \"description\": \"Search query. Supports | for OR and - to exclude terms\"\n },\n \"sorting\": {\n \"type\": \"string\",\n \"enum\": [\"date\", \"viewCount\", \"relevance\"],\n \"description\": \"Sorting criteria for search results\"\n },\n \"publishedAfter\": {\n \"type\": \"string\",\n \"description\": \"Timestamp for filtering like 2023-11-03T15:28:05Z\"\n }\n },\n \"required\": [\"type\", \"query\", \"sorting\"]\n}",
"specifyInputSchema": true
},
"typeVersion": 1.2
},
{
"id": "c87d5392-8a5c-4999-9e58-89a5e0700c40",
"name": "analyze_thumbnail",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
2500,
820
],
"parameters": {
"name": "analyze_thumbnail",
"fields": {
"values": [
{
"name": "command",
"stringValue": "analyze_thumbnail"
}
]
},
"schemaType": "manual",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "FgknOUpOBkpY85NX",
"cachedResultName": "Youtube parser - tools"
},
"description": "Analyze a thumbnail image based on a given prompt. The prompt can be customized for specific analysis needs, such as design critique, color scheme evaluation, or content assessment.\nUse link of maxRes thumbnail. \n\nInput:\n- url: URL of the thumbnail image.\n- prompt: Customizable instruction for the analysis.\n\nOutput:\n- Results of the analysis based on the given prompt.",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"url\": {\n \"type\": \"string\",\n \"description\": \"URL of the thumbnail image to analyze\"\n },\n \"prompt\": {\n \"type\": \"string\",\n \"description\": \"Customizable instruction to guide the image analysis\"\n }\n },\n \"required\": [\"url\", \"prompt\"]\n}",
"specifyInputSchema": true
},
"typeVersion": 1.2
},
{
"id": "1be2fa35-9091-4db8-a8eb-50f822d618d3",
"name": "video_transcription",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
2620,
820
],
"parameters": {
"name": "video_transcription",
"fields": {
"values": [
{
"name": "command",
"stringValue": "video_transcription"
}
]
},
"schemaType": "manual",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "FgknOUpOBkpY85NX",
"cachedResultName": "Youtube parser - tools"
},
"description": "Transcribe a video and retrieve its text transcription. Useful for analyzing video content or repurposing it for other formats.\n\nInput:\n- video_url: URL of the video to transcribe.\n\nOutput:\n- The text transcription of the video.",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"video_url\": {\n \"type\": \"string\",\n \"description\": \"URL of the video to transcribe\"\n }\n },\n \"required\": [\"video_url\"]\n}",
"specifyInputSchema": true
},
"typeVersion": 1.2
},
{
"id": "fbfcd82f-e247-4a21-be12-339df7afe681",
"name": "Postgres 채팅 메모리",
"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
"position": [
1700,
820
],
"parameters": {
"sessionKey": "={{ $('When chat message received').item.json.sessionId }}",
"sessionIdType": "customKey"
},
"credentials": {
"postgres": {
"id": "AO9cER6p8uX7V07T",
"name": "Postgres 5minai"
}
},
"typeVersion": 1.3
},
{
"id": "6a4bbad9-27ab-448b-9222-2c8843fe241a",
"name": "AI 에이전트",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1760,
560
],
"parameters": {
"text": "={{ $('When chat message received').item.json.chatInput }}",
"agent": "openAiFunctionsAgent",
"options": {
"systemMessage": "You are Youtube assistant. \nYou need to process user's requests and run relevant tools for that. \n\nPlan and execute in right order runs of tools to get data for user's request.\n\nIMPORTANT Search query and list of videos for channel tools returns all videos including shorts - use Get Video description tool to identify shorts (less than minute) and filter them out if needed.\n\nFeel free to ask questions before do actions - especially if you noticed some inconcistency in user requests that might be error/misspelling. "
},
"promptType": "define"
},
"typeVersion": 1.6
},
{
"id": "739cc12a-27d1-48e9-b124-7f83fb372514",
"name": "채팅 메시지 수신 시",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
1460,
600
],
"webhookId": "6e95bc27-99a6-417c-8bf7-2831d7f7a4be",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "613af9f2-77fa-42c4-86d3-87e20f2c0c89",
"name": "메모",
"type": "n8n-nodes-base.stickyNote",
"position": [
1380,
500
],
"parameters": {
"width": 1430.34590072234,
"height": 588.1344471094899,
"content": "## Scenario 1: AI agent"
},
"typeVersion": 1
},
{
"id": "54116346-bc73-4a6a-8bca-f2a6e6699374",
"name": "Get Comments",
"type": "n8n-nodes-base.httpRequest",
"position": [
2064,
1598
],
"parameters": {
"url": "=https://www.googleapis.com/youtube/v3/commentThreads",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "part",
"value": "id,snippet,replies"
},
{
"name": "videoId",
"value": "={{ $('Execute Workflow Trigger').item.json.query.video_id }}"
},
{
"name": "maxResults",
"value": "100"
}
]
}
},
"credentials": {
"httpQueryAuth": {
"id": "1DXeuNaLSixqGPaU",
"name": "Query Auth account Youtube"
}
},
"typeVersion": 4.2
},
{
"id": "faabf71a-69f2-4113-802e-124a09fa9a0a",
"name": "워크플로우 실행 트리거",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
1444,
1598
],
"parameters": {},
"typeVersion": 1
},
{
"id": "4b3ec3aa-7c69-4a72-a989-02f97acdf612",
"name": "Get Channel Details",
"type": "n8n-nodes-base.httpRequest",
"position": [
2064,
1278
],
"parameters": {
"url": "=https://www.googleapis.com/youtube/v3/channels",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "part",
"value": "snippet"
},
{
"name": "forHandle",
"value": "={{ $('Execute Workflow Trigger').item.json.query.handle }}"
}
]
}
},
"credentials": {
"httpQueryAuth": {
"id": "1DXeuNaLSixqGPaU",
"name": "Query Auth account Youtube"
}
},
"typeVersion": 4.2
},
{
"id": "ed8dec73-8c50-4eb9-8efe-68ee72c4d5e6",
"name": "Get Video Description",
"type": "n8n-nodes-base.httpRequest",
"position": [
2064,
1438
],
"parameters": {
"url": "=https://www.googleapis.com/youtube/v3/videos",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "part",
"value": "snippet,contentDetails,statistics"
},
{
"name": "id",
"value": "={{ $('Execute Workflow Trigger').item.json.query.video_id }}"
}
]
}
},
"credentials": {
"httpQueryAuth": {
"id": "1DXeuNaLSixqGPaU",
"name": "Query Auth account Youtube"
}
},
"typeVersion": 4.2
},
{
"id": "c1ff3837-8d7e-49ad-a333-c177833fcd05",
"name": "Edit Fields",
"type": "n8n-nodes-base.set",
"position": [
2224,
1598
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "469d89ba-23fc-482a-b4ae-ce5d3bc13579",
"name": "response",
"type": "string",
"value": "={{ JSON.stringify(` Comments: ${$json.items.map(item => { const topLevelComment = `${item.snippet.topLevelComment.snippet.authorDisplayName}: ${item.snippet.topLevelComment.snippet.textOriginal}`; const replies = item.replies?.comments.map(reply => `${reply.snippet.authorDisplayName}: ${reply.snippet.textOriginal}` ).join('\\n') || ''; return [topLevelComment, replies].filter(Boolean).join('\\n'); }).join('\\n\\n')} `) }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5f0c44fe-2523-4170-a27d-0ccd1bef24a7",
"name": "Run Query",
"type": "n8n-nodes-base.httpRequest",
"position": [
2064,
1758
],
"parameters": {
"url": "=https://www.googleapis.com/youtube/v3/search",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "part",
"value": "snippet"
},
{
"name": "q",
"value": "={{ $('Execute Workflow Trigger').item.json.query.query }}"
},
{
"name": "order",
"value": "={{ $('Execute Workflow Trigger').item.json.query.order }}"
},
{
"name": "type",
"value": "={{ $('Execute Workflow Trigger').item.json.query.type }}"
},
{
"name": "maxResults",
"value": "={{ $('Execute Workflow Trigger').item.json.query.number_of_videos }}"
},
{
"name": "publishedAfter",
"value": "={{ $('Execute Workflow Trigger').item.json.query.publishedAfter }}"
}
]
}
},
"credentials": {
"httpQueryAuth": {
"id": "1DXeuNaLSixqGPaU",
"name": "Query Auth account Youtube"
}
},
"typeVersion": 4.2
},
{
"id": "3e192718-6710-4143-ac6e-15df79ee5363",
"name": "Get Videos by Channel",
"type": "n8n-nodes-base.httpRequest",
"position": [
2064,
1918
],
"parameters": {
"url": "=https://www.googleapis.com/youtube/v3/search",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "part",
"value": "snippet"
},
{
"name": "channelId",
"value": "={{ $('Execute Workflow Trigger').item.json.query.channel_id }}"
},
{
"name": "order",
"value": "={{ $('Execute Workflow Trigger').item.json.query.order }}"
},
{
"name": "maxResults",
"value": "={{ $('Execute Workflow Trigger').item.json.query.number_of_videos }}"
},
{
"name": "type",
"value": "video"
},
{
"name": "publishedAfter",
"value": "={{ $('Execute Workflow Trigger').item.json.query.publishedAfter }}"
}
]
}
},
"credentials": {
"httpQueryAuth": {
"id": "1DXeuNaLSixqGPaU",
"name": "Query Auth account Youtube"
}
},
"typeVersion": 4.2
},
{
"id": "8bcb50a4-0cd1-4311-ac6a-2ee8653cfb71",
"name": "Response",
"type": "n8n-nodes-base.set",
"position": [
2564,
1598
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "cfdbe2f5-921e-496d-87bd-9c57fdc22a7a",
"name": "response",
"type": "object",
"value": "={{$json}}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "7f5a36d3-6710-4e69-8459-7c8c748ee7d9",
"name": "스위치",
"type": "n8n-nodes-base.switch",
"position": [
1624,
1578
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "get_channel_details",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "get_channel_details"
}
]
},
"renameOutput": true
},
{
"outputKey": "video_details",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "26a3ffe8-c8a6-4564-8d18-5494a8059372",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "video_details"
}
]
},
"renameOutput": true
},
{
"outputKey": "comments",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "0f51cc26-2e42-42e1-a5c2-cb1d2e384962",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "comments"
}
]
},
"renameOutput": true
},
{
"outputKey": "search",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "51031140-5ceb-48aa-9f33-d314131a9653",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "search"
}
]
},
"renameOutput": true
},
{
"outputKey": "videos",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "f160bf0a-423f-448d-ab80-50a0b6a177ca",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "videos"
}
]
},
"renameOutput": true
},
{
"outputKey": "analyze_thumbnail",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "29542ac4-7b9d-413f-aabb-a1cdabed2fa7",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "analyze_thumbnail"
}
]
},
"renameOutput": true
},
{
"outputKey": "video_transcription",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "35fc39b8-6cf1-4ea6-9609-4a195c5526f8",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "video_transcription"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "df432d53-33bf-4e91-9ead-7f4b36bd788a",
"name": "Get Video Transcription",
"type": "n8n-nodes-base.httpRequest",
"position": [
2064,
2238
],
"parameters": {
"url": "=https://api.apify.com/v2/acts/dB9f4B02ocpTICIEY/run-sync-get-dataset-items",
"method": "POST",
"options": {},
"jsonBody": "={\n \"startUrls\": [\n \"{{ $('Execute Workflow Trigger').item.json.query.video_url }}\"\n ]\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth"
},
"credentials": {
"httpQueryAuth": {
"id": "XDavOaI9qH5Zi3QC",
"name": "Apify"
}
},
"typeVersion": 4.2
},
{
"id": "8079e5c9-4a52-45ce-ac41-7fc707177a5a",
"name": "OpenAI",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
2064,
2078
],
"parameters": {
"text": "={{ $('Execute Workflow Trigger').item.json.query.prompt }}",
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o",
"cachedResultName": "GPT-4O"
},
"options": {},
"resource": "image",
"imageUrls": "={{ $('Execute Workflow Trigger').item.json.query.url }}",
"operation": "analyze"
},
"credentials": {
"openAiApi": {
"id": "SphXAX7rlwRLkiox",
"name": "Test club key"
}
},
"typeVersion": 1.7
},
{
"id": "7847e82a-fe82-498c-8c14-4c1c718d632c",
"name": "메모1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1380,
1140
],
"parameters": {
"width": 1427.3810326521016,
"height": 1313.2689194736308,
"content": "## Scenario 2: Agent tools"
},
"typeVersion": 1
},
{
"id": "3a0fbbb0-4c0e-41f1-abb3-c87e955ad1b3",
"name": "메모2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1540,
960
],
"parameters": {
"color": 4,
"width": 266.7375650720483,
"height": 80,
"content": "### Replace credentials"
},
"typeVersion": 1
},
{
"id": "363eaca0-aaa5-4551-845f-528f19bba57a",
"name": "메모3",
"type": "n8n-nodes-base.stickyNote",
"position": [
2004,
1178
],
"parameters": {
"color": 4,
"width": 266.7375650720483,
"height": 80,
"content": "### Replace credentials in all nodes - Apify, OpenAI, Google"
},
"typeVersion": 1
}
],
"pinData": {
"Execute Workflow Trigger": [
{
"query": {
"type": "video",
"query": "Web scraping data with n8n and Puppeteer",
"sorting": "relevance"
},
"command": "search"
}
]
},
"connections": {
"8079e5c9-4a52-45ce-ac41-7fc707177a5a": {
"main": [
[
{
"node": "8bcb50a4-0cd1-4311-ac6a-2ee8653cfb71",
"type": "main",
"index": 0
}
]
]
},
"Switch": {
"main": [
[
{
"node": "4b3ec3aa-7c69-4a72-a989-02f97acdf612",
"type": "main",
"index": 0
}
],
[
{
"node": "ed8dec73-8c50-4eb9-8efe-68ee72c4d5e6",
"type": "main",
"index": 0
}
],
[
{
"node": "54116346-bc73-4a6a-8bca-f2a6e6699374",
"type": "main",
"index": 0
}
],
[
{
"node": "5f0c44fe-2523-4170-a27d-0ccd1bef24a7",
"type": "main",
"index": 0
}
],
[
{
"node": "3e192718-6710-4143-ac6e-15df79ee5363",
"type": "main",
"index": 0
}
],
[
{
"node": "8079e5c9-4a52-45ce-ac41-7fc707177a5a",
"type": "main",
"index": 0
}
],
[
{
"node": "df432d53-33bf-4e91-9ead-7f4b36bd788a",
"type": "main",
"index": 0
}
]
]
},
"c68cad77-1d71-45a3-b94b-8f7c701f56fb": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"5f0c44fe-2523-4170-a27d-0ccd1bef24a7": {
"main": [
[
{
"node": "8bcb50a4-0cd1-4311-ac6a-2ee8653cfb71",
"type": "main",
"index": 0
}
]
]
},
"c1ff3837-8d7e-49ad-a333-c177833fcd05": {
"main": [
[
{
"node": "8bcb50a4-0cd1-4311-ac6a-2ee8653cfb71",
"type": "main",
"index": 0
}
]
]
},
"54116346-bc73-4a6a-8bca-f2a6e6699374": {
"main": [
[
{
"node": "c1ff3837-8d7e-49ad-a333-c177833fcd05",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"c87d5392-8a5c-4999-9e58-89a5e0700c40": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"2d61160b-3a65-4766-ace6-947a7c5de6e5": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"4b3ec3aa-7c69-4a72-a989-02f97acdf612": {
"main": [
[
{
"node": "8bcb50a4-0cd1-4311-ac6a-2ee8653cfb71",
"type": "main",
"index": 0
}
]
]
},
"7f2cf209-2e9d-4d6a-bc9e-d1bfd6df7266": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"1be2fa35-9091-4db8-a8eb-50f822d618d3": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Postgres Chat Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"c5aa2f7c-7748-4f88-abb6-fd274ad1295a": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"ed8dec73-8c50-4eb9-8efe-68ee72c4d5e6": {
"main": [
[
{
"node": "8bcb50a4-0cd1-4311-ac6a-2ee8653cfb71",
"type": "main",
"index": 0
}
]
]
},
"3e192718-6710-4143-ac6e-15df79ee5363": {
"main": [
[
{
"node": "8bcb50a4-0cd1-4311-ac6a-2ee8653cfb71",
"type": "main",
"index": 0
}
]
]
},
"c02f5c19-6e50-4a06-95b9-eceb3eec1012": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"df432d53-33bf-4e91-9ead-7f4b36bd788a": {
"main": [
[
{
"node": "8bcb50a4-0cd1-4311-ac6a-2ee8653cfb71",
"type": "main",
"index": 0
}
]
]
},
"Execute Workflow Trigger": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"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 - 인공지능, 마케팅
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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저자
Mark Shcherbakov
@lowcodingdevI am a business analyst with a development background, dedicated to helping small businesses and entrepreneurs leverage cloud services for increased efficiency. My expertise lies in automating manual workflows, integrating data from multiple cloud service providers, creating insightful dashboards, and building custom CRM systems.
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