Linkedin to Airtable
工作流概述
这是一个包含10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
{
"id": "ift5iHQG9G2lzJzP",
"meta": {
"instanceId": "558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a",
"templateCredsSetupCompleted": true
},
"name": "Linkedin to Airtable",
"tags": [
{
"id": "1iR8rLF2nlFdk8Iy",
"name": "Tool",
"createdAt": "2025-04-10T20:38:51.198Z",
"updatedAt": "2025-04-10T20:38:51.198Z"
},
{
"id": "kY9rLUshnq9TIJVU",
"name": "Freebie",
"createdAt": "2025-04-11T17:35:46.605Z",
"updatedAt": "2025-04-11T17:35:46.605Z"
}
],
"nodes": [
{
"id": "623c5cf2-0c16-47fe-8ec0-fa66e7c32576",
"name": "Schedule Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-980,
-520
],
"parameters": {
"rule": {
"interval": [
{}
]
}
},
"typeVersion": 1.2
},
{
"id": "f09f752b-162b-4d9d-a397-69f3ead78e45",
"name": "Fetch LinkedIn Likes",
"type": "n8n-nodes-base.httpRequest",
"position": [
-780,
-520
],
"parameters": {
"url": "https://linkedin-api8.p.rapidapi.com/get-profile-likes",
"options": {},
"sendQuery": true,
"sendHeaders": true,
"queryParameters": {
"parameters": [
{
"name": "username",
"value": "< YOUR LINKEDIN USERNAME >"
},
{
"name": "start",
"value": "0"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "x-rapidapi-host",
"value": "linkedin-api8.p.rapidapi.com"
},
{
"name": "x-rapidapi-key",
"value": "< YOUR RAPID API KEY >"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "f3f64d75-550e-4a32-99ea-ccea7d14694f",
"name": "Split Liked Posts",
"type": "n8n-nodes-base.splitOut",
"position": [
-560,
-520
],
"parameters": {
"options": {},
"fieldToSplitOut": "data.items"
},
"typeVersion": 1
},
{
"id": "40cc1e38-c564-45ac-b150-58bf2d42353d",
"name": "Filter Insightful & Recent",
"type": "n8n-nodes-base.filter",
"position": [
-340,
-520
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "a1ee03bc-55c0-4e62-af66-280df7e24824",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json.action }}",
"rightValue": "insightful"
},
{
"id": "9b7fcecb-09c0-45f2-bb30-9b6ab565695c",
"operator": {
"type": "number",
"operation": "gt"
},
"leftValue": "={{ new Date($json.postedDate).getTime() }}",
"rightValue": "={{ new Date().getTime() - (7 * 24 * 60 * 60 * 1000) }}"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "e56f96db-7179-4c48-bf2b-a8153c5ae623",
"name": "Format Content Idea",
"type": "n8n-nodes-base.set",
"position": [
-120,
-520
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "93ebd033-743a-4f8c-837c-ed619d14895d",
"name": "Title",
"type": "string",
"value": "=I just liked a linkedin post of {{ $json.author.username }}"
},
{
"id": "fdbde792-1dba-46e2-9c3a-2daf629151e3",
"name": "description",
"type": "string",
"value": "={{ $json.text }}"
},
{
"id": "ecf9aca8-45ae-4037-8f78-06a2a7b5d076",
"name": "source",
"type": "string",
"value": "={{ $json.postUrl }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "364eba33-3b3a-44c7-af0f-bab130ea7193",
"name": "Prepare for Airtable",
"type": "n8n-nodes-base.splitOut",
"position": [
100,
-520
],
"parameters": {
"options": {},
"fieldToSplitOut": "Title, description, source"
},
"typeVersion": 1
},
{
"id": "0f029e8e-0a82-49be-ae77-40bbb02088ab",
"name": "Save to Airtable",
"type": "n8n-nodes-base.airtable",
"position": [
320,
-520
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appgNpFtbtaGHM4g0",
"cachedResultUrl": "https://airtable.com/appgNpFtbtaGHM4g0",
"cachedResultName": "Content Hub"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblwBVudDpOMkUGKL",
"cachedResultUrl": "https://airtable.com/appgNpFtbtaGHM4g0/tblwBVudDpOMkUGKL",
"cachedResultName": "Ideas"
},
"columns": {
"value": {
"Type": "Linkedin",
"Title": "={{ $json.Title }}",
"Source": "={{ $json.source }}",
"Status": false,
"Description": "={{ $json.description }}"
},
"schema": [
{
"id": "Title",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Description",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Description",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Main Idea",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Main Idea",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Takeaways",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Takeaways",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Status",
"type": "boolean",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Source",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Source",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Type",
"type": "options",
"display": true,
"options": [
{
"name": "Youtube Video",
"value": "Youtube Video"
},
{
"name": "Web Article",
"value": "Web Article"
},
{
"name": "Own Notes",
"value": "Own Notes"
},
{
"name": "E-Book",
"value": "E-Book"
},
{
"name": "Twitter",
"value": "Twitter"
},
{
"name": "Linkedin",
"value": "Linkedin"
}
],
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Type",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Draft",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Draft",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Attachment - Video",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Attachment - Video",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Attachment - Image",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Attachment - Image",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Created",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "Created",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Last Modified",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "Last Modified",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "create"
},
"credentials": {
"airtableTokenApi": {
"id": "g540vJVYsNT8ZS11",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "afed2086-8fc3-4a94-933f-203196413182",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-780,
-1000
],
"parameters": {
"width": 460,
"height": 180,
"content": "## 📝 Description
Automatically turn your insightful LinkedIn post reactions into structured content ideas saved in Airtable. This workflow fetches your recent *\"insightful\"* likes, filters for posts from the last 7 days, extracts relevant content, and logs it into Airtable for future content inspiration."
},
"typeVersion": 1
},
{
"id": "ecea99a8-dee2-40a9-aa4d-3616eecb6d73",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-780,
-800
],
"parameters": {
"width": 460,
"height": 180,
"content": "## ⚙️ What It Does
- **Fetches** recent liked posts from LinkedIn using RapidAPI.
- **Filters** only *insightful* reactions from the past 7 days.
- **Structures** each post into a title, description, and source URL.
- **Stores** the content in a custom Airtable base."
},
"typeVersion": 1
},
{
"id": "9279261b-acfc-4b35-ad24-8a058bf07987",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-280,
-1000
],
"parameters": {
"width": 500,
"height": 380,
"content": "## 🧰 Setup Instructions
1. Clone this template into your n8n instance.
2. Open the `Fetch LinkedIn Likes` node and enter:
- Your LinkedIn username.
- Your RapidAPI key in the headers.
3. Open the `Save to Airtable` node and:
- Connect your Airtable account.
- Link the correct base (`Content Hub`) and table (`Ideas`).
4. Set your desired schedule in the `Trigger` node.
5. Activate the workflow and you're done!
"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "623dce6f-9c95-44e7-994e-0da1f65ab1a6",
"connections": {
"Schedule Trigger": {
"main": [
[
{
"node": "Fetch LinkedIn Likes",
"type": "main",
"index": 0
}
]
]
},
"Split Liked Posts": {
"main": [
[
{
"node": "Filter Insightful & Recent",
"type": "main",
"index": 0
}
]
]
},
"Format Content Idea": {
"main": [
[
{
"node": "Prepare for Airtable",
"type": "main",
"index": 0
}
]
]
},
"Fetch LinkedIn Likes": {
"main": [
[
{
"node": "Split Liked Posts",
"type": "main",
"index": 0
}
]
]
},
"Prepare for Airtable": {
"main": [
[
{
"node": "Save to Airtable",
"type": "main",
"index": 0
}
]
]
},
"Filter Insightful & Recent": {
"main": [
[
{
"node": "Format Content Idea",
"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
- Scheduletrigger
- Httprequest
- Splitout
- Filter
- Set
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