YouTube Comment Sentiment Analyzer
工作流概述
这是一个包含16个节点的复杂工作流，主要用于自动化处理各种任务。
工作流源代码
{
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"meta": {
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"name": "YouTube Comment Sentiment Analyzer",
"tags": [],
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"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
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"options": {}
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"credentials": {
"openAiApi": {
"id": "4d73v7kxEDNu3n25",
"name": "OpenAi account"
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"parameters": {},
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{
"id": "d28f3fbf-6013-47af-ba84-3bdd9800fd3b",
"name": "Get Video Urls from Google Sheet",
"type": "n8n-nodes-base.googleSheets",
"position": [
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],
"parameters": {
"options": {},
"sheetName": {
"__rl": true,
"mode": "list",
"value": 760258523,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1xoCVr_mlwn4jFcnJENtrU-_K5nkIytZ8qBXzxMq55n4/edit#gid=760258523",
"cachedResultName": "Sheet2"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1xoCVr_mlwn4jFcnJENtrU-_K5nkIytZ8qBXzxMq55n4",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1xoCVr_mlwn4jFcnJENtrU-_K5nkIytZ8qBXzxMq55n4/edit?usp=drivesdk",
"cachedResultName": "Youtube Videos Comments"
},
"authentication": "serviceAccount"
},
"credentials": {
"googleApi": {
"id": "jPoTdPxgVL0vr9SQ",
"name": "Google Sheets account"
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"typeVersion": 4.5
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{
"id": "0ac06530-cfe7-4f1c-8c0a-8def2126df0f",
"name": "check next fetch time is available or not",
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"parameters": {
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"conditions": {
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"conditions": [
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"operator": {
"type": "string",
"operation": "empty",
"singleValue": true
},
"leftValue": "={{ $json.next_fetch_time }}",
"rightValue": "={{ $now.toISO() }}"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "ba42f450-3b0c-41a3-8e72-d2a38b97cfc7",
"name": "check next fetch time is before the current time",
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"conditions": [
{
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"operator": {
"type": "dateTime",
"operation": "before"
},
"leftValue": "={{ $json.next_fetch_time }}",
"rightValue": "={{ $now.toISO() }}"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "aad11f42-b976-41d7-b771-151da60391d6",
"name": "Get Comments for video urls",
"type": "n8n-nodes-base.httpRequest",
"position": [
360,
-60
],
"parameters": {
"url": "https://www.googleapis.com/youtube/v3/commentThreads",
"options": {
"response": {
"response": {
"fullResponse": true,
"responseFormat": "json"
}
},
"pagination": {
"pagination": {
"parameters": {
"parameters": [
{
"name": "pageToken",
"value": "={{ $response.body.nextPageToken }}"
}
]
},
"completeExpression": "={{ !$response.body.nextPageToken}}",
"paginationCompleteWhen": "other"
}
}
},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "part",
"value": "snippet"
},
{
"name": "videoId",
"value": "={{ $json[\"video_urls\"].match(/(?:v=|\/)([0-9A-Za-z_-]{11})/)[1] || ''}}"
},
{
"name": "maxResults",
"value": "100"
}
]
}
},
"credentials": {
"httpQueryAuth": {
"id": "LmsYEaslJmA6CMdL",
"name": "Query Auth account 4"
}
},
"typeVersion": 4.2
},
{
"id": "4cf1ebd0-e260-4e53-bc26-be1db2f6e7f2",
"name": "Analyze sentiment of every comment",
"type": "@n8n/n8n-nodes-langchain.sentimentAnalysis",
"position": [
1060,
-40
],
"parameters": {
"options": {
"categories": "Positive, Neutral, Negative",
"systemPromptTemplate": "You are highly intelligent and accurate sentiment analyzer. Analyze the sentiment of the provided text. Categorize it into one of the following: {categories}. Use the provided formatting instructions. Only output the JSON."
},
"inputText": "={{ $json.snippet.topLevelComment.snippet.textOriginal }}"
},
"typeVersion": 1
},
{
"id": "f306c5cd-6b6b-46fa-b7ef-f3ccef960931",
"name": "Format fields as required to save in google sheet",
"type": "n8n-nodes-base.set",
"position": [
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],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "25fb96a0-de38-4495-8473-0385a3fd5df9",
"name": "commentId",
"type": "string",
"value": "={{ $json.snippet.topLevelComment.id }}"
},
{
"id": "d824ecd0-89c0-4c07-992f-6a5d3421690e",
"name": "video_url",
"type": "string",
"value": "=https://www.youtube.com/watch?v={{ $json.snippet.videoId }}"
},
{
"id": "cdcbc3d9-ab3e-4d7d-80a7-bfe168b0ed27",
"name": "comment",
"type": "string",
"value": "={{ $json.snippet.topLevelComment.snippet.textOriginal }}"
},
{
"id": "20bcfe96-3904-44d2-b72a-9eb49d603c8d",
"name": "authorName",
"type": "string",
"value": "={{ $json.snippet.topLevelComment.snippet.authorDisplayName }}"
},
{
"id": "c92f56bf-8b37-4c4e-9ce7-b7a49d63deee",
"name": "likes",
"type": "string",
"value": "={{ $json.snippet.topLevelComment.snippet.likeCount }}"
},
{
"id": "7cc4fdb3-7c41-418a-bf4f-71081fe9df74",
"name": "reply",
"type": "string",
"value": "={{ $json.snippet.totalReplyCount }}"
},
{
"id": "9988ea66-7f31-4b2c-90ab-3cad8efabf95",
"name": "sentiment",
"type": "string",
"value": "={{ $json.sentimentAnalysis.category }}"
},
{
"id": "6552df27-6e04-4048-b3c2-1e1755ccac28",
"name": "published_at",
"type": "string",
"value": "={{ $json.snippet.topLevelComment.snippet.publishedAt }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "6cd20a6e-8bcc-44c7-a62d-e3c3c75e6d9a",
"name": "Insert and update comment in google sheet",
"type": "n8n-nodes-base.googleSheets",
"position": [
1720,
-40
],
"parameters": {
"columns": {
"value": {},
"schema": [
{
"id": "commentId",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "commentId",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "video_url",
"type": "string",
"display": true,
"required": false,
"displayName": "video_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "comment",
"type": "string",
"display": true,
"required": false,
"displayName": "comment",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "authorName",
"type": "string",
"display": true,
"required": false,
"displayName": "authorName",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "likes",
"type": "string",
"display": true,
"required": false,
"displayName": "likes",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "reply",
"type": "string",
"display": true,
"required": false,
"displayName": "reply",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "sentiment",
"type": "string",
"display": true,
"required": false,
"displayName": "sentiment",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "published_at",
"type": "string",
"display": true,
"required": false,
"displayName": "published_at",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "autoMapInputData",
"matchingColumns": [
"commentId"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "appendOrUpdate",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1xoCVr_mlwn4jFcnJENtrU-_K5nkIytZ8qBXzxMq55n4/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1xoCVr_mlwn4jFcnJENtrU-_K5nkIytZ8qBXzxMq55n4",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1xoCVr_mlwn4jFcnJENtrU-_K5nkIytZ8qBXzxMq55n4/edit?usp=drivesdk",
"cachedResultName": "Youtube Videos Comments"
},
"authentication": "serviceAccount"
},
"credentials": {
"googleApi": {
"id": "jPoTdPxgVL0vr9SQ",
"name": "Google Sheets account"
}
},
"typeVersion": 4.5
},
{
"id": "ea240f38-1462-402b-8db2-36b3e8664c2f",
"name": "Update last fetched time and next_fetch_time",
"type": "n8n-nodes-base.googleSheets",
"position": [
1940,
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],
"parameters": {
"columns": {
"value": {
"video_urls": "={{ $('Get Video Urls from Google Sheet').item.json.video_urls }}",
"next_fetch_time": "={{ $now.plus(5, 'min').toISO() }}",
"last_fetched_time": "={{ $now.toISO() }}"
},
"schema": [
{
"id": "video_urls",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "video_urls",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "last_fetched_time",
"type": "string",
"display": true,
"required": false,
"displayName": "last_fetched_time",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "next_fetch_time",
"type": "string",
"display": true,
"required": false,
"displayName": "next_fetch_time",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"video_urls"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "appendOrUpdate",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 760258523,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1xoCVr_mlwn4jFcnJENtrU-_K5nkIytZ8qBXzxMq55n4/edit#gid=760258523",
"cachedResultName": "Sheet2"
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"documentId": {
"__rl": true,
"mode": "list",
"value": "1xoCVr_mlwn4jFcnJENtrU-_K5nkIytZ8qBXzxMq55n4",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1xoCVr_mlwn4jFcnJENtrU-_K5nkIytZ8qBXzxMq55n4/edit?usp=drivesdk",
"cachedResultName": "Youtube Videos Comments"
},
"authentication": "serviceAccount"
},
"credentials": {
"googleApi": {
"id": "jPoTdPxgVL0vr9SQ",
"name": "Google Sheets account"
}
},
"typeVersion": 4.5
},
{
"id": "610fa83c-a626-42c0-aa8b-1ebb1a6bcf44",
"name": "No Operation, do nothing1",
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"position": [
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],
"parameters": {},
"typeVersion": 1
},
{
"id": "30570a68-78b8-434e-bb20-ea85a0689a63",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
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],
"parameters": {},
"typeVersion": 1
},
{
"id": "4fe79a97-fc39-41c0-9d2f-f07865deef5e",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-440,
-160
],
"parameters": {
"color": 5,
"width": 2620,
"height": 480,
"content": "
# 🚀 YouTube Comment Sentiment Analyzer with Google Sheets & OpenAI"
},
"typeVersion": 1
},
{
"id": "0ccb85d8-d29e-44a7-b644-49b3dcc6ce9b",
"name": "Check Success Response",
"type": "n8n-nodes-base.if",
"position": [
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],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "bce76f94-5904-4fdb-b172-adc1134855f9",
"operator": {
"type": "number",
"operation": "equals"
},
"leftValue": "={{ $json.statusCode }}",
"rightValue": 200
}
]
}
},
"typeVersion": 2.2
},
{
"id": "880f570f-6300-4659-9dcf-d47880140131",
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"type": "n8n-nodes-base.stickyNote",
"position": [
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"parameters": {
"width": 640,
"height": 820,
"content": "### **How to Use This Workflow:**
📝 **YouTube Comment Sentiment Analyzer**
1. 🔘 **Trigger:** Click \"Execute Workflow\" to run it manually.
2. 📄 Your Google Sheet should have **2 sheets**:
- **Sheet1 (Results with Sentiment):**
- Column A: `commentId` (YouTube comment id)
- Column B: `video_url` (url of video)
- Column C: `comment` (YouTube comment)
- Column D: `authorName` (Name of author as per Youtube)
- Column E: `likes` (Number of likes on that particular comment)
- Column f: `reply` (Number of replies on that particular comment)
- Column g: `sentiment` (Analyzed sentiment of the comment)
- Column h: `published_at` (timestamp of comment published)
- **Sheet2 (Video URLs):**
- Column A: `video_urls` (list of YouTube video URLs)
- Column B: `last_fetched_time` (timestamp of the last fetch)
- Column C: `next_fetch_time` (time for the next fetch)
3. 🔐 **Make sure these credentials are set up**:
- Google Sheets (Service Account)
- YouTube Data API v3
- OpenAI API Key (for sentiment analysis)
4. ✅ **What this workflow does**:
- Reads **video URLs** from **Sheet2**.
- Checks **last fetched time** (if applicable).
- Fetches new comments from YouTube.
- Analyzes sentiment using OpenAI.
- Appends **comment**, **sentiment**, **video ID**, and **timestamp** to **Sheet1**.
- Updates **last_fetched** timestamp in **Sheet2**.
5. 💡 **Tip:**
- You can replace the **Manual Trigger** with a **Cron node** for automatic execution at specified intervals.
"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "70007187-7437-4053-b909-5057bf816906",
"connections": {
"Split Out": {
"main": [
[
{
"node": "Analyze sentiment of every comment",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Analyze sentiment of every comment",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Check Success Response": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
],
[
{
"node": "No Operation, do nothing1",
"type": "main",
"index": 0
}
]
]
},
"Get Comments for video urls": {
"main": [
[
{
"node": "Check Success Response",
"type": "main",
"index": 0
}
]
]
},
"Get Video Urls from Google Sheet": {
"main": [
[
{
"node": "check next fetch time is available or not",
"type": "main",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Get Video Urls from Google Sheet",
"type": "main",
"index": 0
}
]
]
},
"Analyze sentiment of every comment": {
"main": [
[
{
"node": "Format fields as required to save in google sheet",
"type": "main",
"index": 0
}
],
[
{
"node": "Format fields as required to save in google sheet",
"type": "main",
"index": 0
}
],
[
{
"node": "Format fields as required to save in google sheet",
"type": "main",
"index": 0
}
]
]
},
"Insert and update comment in google sheet": {
"main": [
[
{
"node": "Update last fetched time and next_fetch_time",
"type": "main",
"index": 0
}
]
]
},
"check next fetch time is available or not": {
"main": [
[
{
"node": "Get Comments for video urls",
"type": "main",
"index": 0
}
],
[
{
"node": "check next fetch time is before the current time",
"type": "main",
"index": 0
}
]
]
},
"Update last fetched time and next_fetch_time": {
"main": [
[]
]
},
"check next fetch time is before the current time": {
"main": [
[
{
"node": "Get Comments for video urls",
"type": "main",
"index": 0
}
],
[
{
"node": "No Operation, do nothing",
"type": "main",
"index": 0
}
]
]
},
"Format fields as required to save in google sheet": {
"main": [
[
{
"node": "Insert and update comment in google sheet",
"type": "main",
"index": 0
}
]
]
}
}
}功能特点
- 自动检测新邮件
- AI智能内容分析
- 自定义分类规则
- 批量处理能力
- 详细的处理日志
技术分析
节点类型及作用
- Splitout
- @N8N/N8N Nodes Langchain.Lmchatopenai
- Noop
- Googlesheets
- If
复杂度评估
配置难度：
维护难度：
扩展性：
实施指南
前置条件
- 有效的Gmail账户
- n8n平台访问权限
- Google API凭证
- AI分类服务订阅
配置步骤
- 在n8n中导入工作流JSON文件
- 配置Gmail节点的认证信息
- 设置AI分类器的API密钥
- 自定义分类规则和标签映射
- 测试工作流执行
- 配置定时触发器（可选）
关键参数
| 参数名称 | 默认值 | 说明 |
|---|---|---|
| maxEmails | 50 | 单次处理的最大邮件数量 |
| confidenceThreshold | 0.8 | 分类置信度阈值 |
| autoLabel | true | 是否自动添加标签 |
最佳实践
优化建议
- 定期更新AI分类模型以提高准确性
- 根据邮件量调整处理批次大小
- 设置合理的分类置信度阈值
- 定期清理过期的分类规则
安全注意事项
- 妥善保管API密钥和认证信息
- 限制工作流的访问权限
- 定期审查处理日志
- 启用双因素认证保护Gmail账户
性能优化
- 使用增量处理减少重复工作
- 缓存频繁访问的数据
- 并行处理多个邮件分类任务
- 监控系统资源使用情况
故障排除
常见问题
邮件未被正确分类
检查AI分类器的置信度阈值设置，适当降低阈值或更新训练数据。
Gmail认证失败
确认Google API凭证有效且具有正确的权限范围，重新进行OAuth授权。
调试技巧
- 启用详细日志记录查看每个步骤的执行情况
- 使用测试邮件验证分类逻辑
- 检查网络连接和API服务状态
- 逐步执行工作流定位问题节点
错误处理
工作流包含以下错误处理机制：
- 网络超时自动重试（最多3次）
- API错误记录和告警
- 处理失败邮件的隔离机制
- 异常情况下的回滚操作