完成YouTube
高级
这是一个AI, Marketing领域的自动化工作流，包含 18 个节点。主要使用 If, Set, Code, YouTube, HttpRequest 等节点，结合人工智能技术实现智能自动化。 基于细分领域的AI YouTube趋势发现器
前置要求
- •可能需要目标 API 的认证凭证
- •OpenAI API Key
使用的节点 (18)
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"id": "XSyVFC1tsGSxNwX9",
"meta": {
"instanceId": "60ad864624415060d2d0a0e71acd8b3b40e4ee2e9ef4b439d9937d3d33537a96"
},
"name": "完成 Youtube",
"tags": [],
"nodes": [
{
"id": "fd74706b-609b-4723-b4a4-067e1b064194",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
300,
60
],
"parameters": {
"options": {
"systemMessage": "=You help youtube creators find trending videos based on a specific niche.\n\nVerify if the user informed a niche before doing anything. If not, then ask him for one by giving him suggestions for him to select from.\n\nAfter you know what type of content the user might produce, use the \"youtube_search\" tool up to 3 times with different search terms based on the user's content type and niche.\n\nThe tool will answer with a list of videos from the last 2 days that had the most amount of relevancy. It returns a list of json's covering each video's id, view count, like count, comment count, description, channel title, tags and channel id. Each video is separated by \"### NEXT VIDEO FOUND: ###\".\n\nYou should then proceed to understand the data received then provide the user with insightful data of what could be trending from the past 2 days. Provide the user links to the trending videos which should be in this structure:\n\nhttps://www.youtube.com/watch?v={video_id}\n\nto reach the channel's link you should use:\n\nhttps://www.youtube.com/channel/{channel_id}\n\nFind patterns in the tags, titles and especially in the related content for the videos found.\n\nYour mission isn't to find the trending videos. It's to provide the user with valuable information of what is trending in that niche in terms of content news. Remember to provide the user with the numbers of views, likes and comments while commenting about any video. So you should not talk about any particular video, focus rather in explaining the overall senario of all that was found.\n\nExample of response:\n\n\"It seems like what is trending in digital marketing right now is talking about mental triggers, since 3 of the most trending videos in the last 2 days were about...\""
}
},
"typeVersion": 1.6
},
{
"id": "ced4b937-b590-4727-b1f2-a5e88b96091a",
"name": "收到聊天消息",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
80,
60
],
"webhookId": "ff9622a4-a6ec-4396-b9de-c95bd834c23c",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "35a91359-5007-407d-a750-d6642e595690",
"name": "youtube 搜索",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
540,
180
],
"parameters": {
"name": "youtube_search",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "N9DveO781xbNf8qs",
"cachedResultName": "Youtube Search Workflow"
},
"description": "调用此工具根据查询搜索热门视频。",
"jsonSchemaExample": "{\n\t\"search_term\": \"some_value\"\n}",
"specifyInputSchema": true
},
"typeVersion": 1.2
},
{
"id": "42f41096-531d-4587-833a-6f659ef78dd0",
"name": "openai_llm",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
260,
180
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "e4bda5b9-abd4-4cd6-8c95-126a01aa6e21",
"name": "窗口缓冲内存",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
400,
180
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "f6d86c5a-393a-4bcf-bdaf-3b06c79fa51d",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
0
],
"parameters": {
"color": 7,
"width": 693.2572054941234,
"height": 354.53098948245656,
"content": "主工作流"
},
"typeVersion": 1
},
{
"id": "4ddbc3f0-e3d7-4ce4-a732-d731c05024d2",
"name": "查找视频数据1",
"type": "n8n-nodes-base.httpRequest",
"position": [
700,
720
],
"parameters": {
"url": "https://www.googleapis.com/youtube/v3/videos?",
"options": {},
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "key",
"value": "={{ $env[\"GOOGLE_API_KEY\"] }}"
},
{
"name": "id",
"value": "={{ $json.id.videoId }}"
},
{
"name": "part",
"value": "contentDetails, snippet, statistics"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "fdb28635-801d-4ce0-8919-11446c6a7a82",
"name": "获取视频1",
"type": "n8n-nodes-base.youTube",
"position": [
280,
560
],
"parameters": {
"limit": 3,
"filters": {
"q": "={{ $json.query.search_term }}",
"regionCode": "US",
"publishedAfter": "={{ new Date(Date.now() - 2 * 24 * 60 * 60 * 1000).toISOString() }}"
},
"options": {
"order": "relevance",
"safeSearch": "moderate"
},
"resource": "video"
},
"credentials": {
"youTubeOAuth2Api": {
"id": "dCyrga3t1tlgQQy0",
"name": "YouTube account"
}
},
"typeVersion": 1
},
{
"id": "60e9e61d-0e5e-4212-8b55-71299aeec4d5",
"name": "响应1",
"type": "n8n-nodes-base.set",
"position": [
1100,
500
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b9b9117b-ea14-482e-a13b-e68b8e6b441d",
"name": "response",
"type": "string",
"value": "={{ $input.all() }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "254a6740-8b25-4898-9795-4c3f0009471f",
"name": "分组数据1",
"type": "n8n-nodes-base.set",
"position": [
1160,
700
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "47c172ad-90c8-4cf6-a9f5-50607e04cc90",
"name": "id",
"type": "string",
"value": "={{ $json.items[0].id }}"
},
{
"id": "9e639efa-0714-4b06-9847-f7b4b2fbef59",
"name": "viewCount",
"type": "string",
"value": "={{ $json.items[0].statistics.viewCount }}"
},
{
"id": "93328f00-91b8-425b-ad0f-a330b2f95242",
"name": "likeCount",
"type": "string",
"value": "={{ $json.items[0].statistics.likeCount }}"
},
{
"id": "015b0fb2-2a98-464c-a21b-51100616f26a",
"name": "commentCount",
"type": "string",
"value": "={{ $json.items[0].statistics.commentCount }}"
},
{
"id": "cf1e1ec3-a138-42b8-8747-d249afa58dd3",
"name": "description",
"type": "string",
"value": "={{ $json.items[0].snippet.description }}"
},
{
"id": "c5c9a3a2-b820-4932-a38a-e21102992215",
"name": "title",
"type": "string",
"value": "={{ $json.items[0].snippet.title }}"
},
{
"id": "38216ead-1f8d-4f93-b6ad-5ef709a1ad2a",
"name": "channelTitle",
"type": "string",
"value": "={{ $json.items[0].snippet.channelTitle }}"
},
{
"id": "ff34194d-3d46-43a8-9127-84708987f536",
"name": "tags",
"type": "string",
"value": "={{ $json.items[0].snippet.tags.join(', ') }}"
},
{
"id": "e50b0f7b-3e37-4557-8863-d68d4fa505c8",
"name": "channelId",
"type": "string",
"value": "={{ $json.items[0].snippet.channelId }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "124c19a9-cbbd-4010-be37-50523c05f64b",
"name": "保存数据到内存1",
"type": "n8n-nodes-base.code",
"position": [
1360,
700
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "const workflowStaticData = $getWorkflowStaticData('global');\n\nif (typeof workflowStaticData.lastExecution !== 'object') {\n workflowStaticData.lastExecution = {\n response: \"\"\n };\n}\n\nfunction removeEmojis(text) {\n return text.replace(/[\\u{1F600}-\\u{1F64F}|\\u{1F300}-\\u{1F5FF}|\\u{1F680}-\\u{1F6FF}|\\u{2600}-\\u{26FF}|\\u{2700}-\\u{27BF}]/gu, '');\n}\n\nfunction cleanDescription(description) {\n return description\n .replace(/https?:\\/\\/\\S+/g, '')\n .replace(/www\\.\\S+/g, '')\n .replace(/ +/g, ' ')\n .trim();\n}\n\nconst currentItem = { ...$input.item };\n\nif (currentItem.description) {\n currentItem.description = cleanDescription(currentItem.description);\n}\n\nlet sanitizedItem = JSON.stringify(currentItem)\n .replace(/\\\\r/g, ' ')\n .replace(/https?:\\/\\/\\S+/g, '')\n .replace(/www\\.\\S+/g, '')\n .replace(/\\\\n/g, ' ')\n .replace(/\\n/g, ' ')\n .replace(/\\\\/g, '')\n .replace(/ +/g, ' ')\n .trim();\n\nif (workflowStaticData.lastExecution.response) {\n workflowStaticData.lastExecution.response += ' ### NEXT VIDEO FOUND: ### ';\n}\n\nworkflowStaticData.lastExecution.response += removeEmojis(sanitizedItem);\n\nreturn workflowStaticData.lastExecution;\n"
},
"typeVersion": 2
},
{
"id": "67f92ec4-71c0-49df-a0ea-11d2e3cf0f94",
"name": "从内存检索数据1",
"type": "n8n-nodes-base.code",
"position": [
780,
500
],
"parameters": {
"jsCode": "const workflowStaticData = $getWorkflowStaticData('global');\n\nconst lastExecution = workflowStaticData.lastExecution;\n\nreturn lastExecution;"
},
"typeVersion": 2
},
{
"id": "685820ba-b089-4cdc-984d-52f134754b5c",
"name": "遍历项目1",
"type": "n8n-nodes-base.splitInBatches",
"position": [
500,
560
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "3d4d5a4b-d06b-41db-bb78-a64a266d5308",
"name": "如果长于3_",
"type": "n8n-nodes-base.if",
"position": [
880,
720
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "08ba3db9-6bcf-47f8-a74d-9e26f28cb08f",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ \n (() => {\n const duration = $json.items[0].contentDetails.duration;\n\n // Helper function to convert ISO 8601 duration to seconds\n const iso8601ToSeconds = iso8601 => {\n const match = iso8601.match(/PT(?:(\\d+)H)?(?:(\\d+)M)?(?:(\\d+)S)?/);\n const hours = parseInt(match[1] || 0, 10);\n const minutes = parseInt(match[2] || 0, 10);\n const seconds = parseInt(match[3] || 0, 10);\n return hours * 3600 + minutes * 60 + seconds;\n };\n\n // Convert duration to seconds\n const durationInSeconds = iso8601ToSeconds(duration);\n\n // Check if greater than 210 seconds (3 minutes 30 seconds)\n return durationInSeconds > 210;\n })() \n}}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "7c6b8b82-fd6c-4f44-bccf-88c5a76f0319",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
420
],
"parameters": {
"color": 5,
"width": 1607,
"height": 520,
"content": "此部分应抽象到另一个工作流中，并在主 AI Agent 的 \"youtube_search\" 工具内调用。"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "cea84238-2b82-4a32-85dd-0c71ad685d47",
"connections": {
"openai_llm": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"get_videos1": {
"main": [
[
{
"node": "loop_over_items1",
"type": "main",
"index": 0
}
]
]
},
"group_data1": {
"main": [
[
{
"node": "save_data_to_memory1",
"type": "main",
"index": 0
}
]
]
},
"youtube_search": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"find_video_data1": {
"main": [
[
{
"node": "if_longer_than_3_",
"type": "main",
"index": 0
}
]
]
},
"loop_over_items1": {
"main": [
[
{
"node": "retrieve_data_from_memory1",
"type": "main",
"index": 0
}
],
[
{
"node": "find_video_data1",
"type": "main",
"index": 0
}
]
]
},
"if_longer_than_3_": {
"main": [
[
{
"node": "group_data1",
"type": "main",
"index": 0
}
],
[
{
"node": "loop_over_items1",
"type": "main",
"index": 0
}
]
]
},
"save_data_to_memory1": {
"main": [
[
{
"node": "loop_over_items1",
"type": "main",
"index": 0
}
]
]
},
"window_buffer_memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"chat_message_received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"retrieve_data_from_memory1": {
"main": [
[
{
"node": "response1",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
高级 - 人工智能, 营销
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
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客户支持
工作流信息
难度等级
高级
节点数量18
分类2
节点类型13
作者
Leonardo Grigorio
@leonardogrigI combine my full-stack development expertise with AI automation using n8n, creating scalable workflows and seamless integrations for smarter business solutions.
外部链接
在 n8n.io 查看 →
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