Linkedin Automation
工作流概述
这是一个包含15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": "yF1HNe2ucaE81fNl",
"meta": {
"instanceId": "52be616fc3b9990a95b5266574f084bd2127609e79ce7dbfc33a1224bcc79eee",
"templateCredsSetupCompleted": true
},
"name": "Linkedin Automation",
"tags": [],
"nodes": [
{
"id": "fa012332-1c95-4460-b1d1-9d54441c9179",
"name": "Get List of records used",
"type": "n8n-nodes-base.airtable",
"position": [
-40,
-80
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appt6kHkRkLlUh033",
"cachedResultUrl": "https://airtable.com/appt6kHkRkLlUh033",
"cachedResultName": "Linkdin"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tbliloartO26TD5TG",
"cachedResultUrl": "https://airtable.com/appt6kHkRkLlUh033/tbliloartO26TD5TG",
"cachedResultName": "Used Articles"
},
"options": {},
"operation": "search"
},
"credentials": {
"airtableTokenApi": {
"id": "9bPeAvakB1tkDxsW",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1,
"alwaysOutputData": true
},
{
"id": "2d99b3b7-2fcd-46bf-8859-f41e94cb5ae1",
"name": "Update the used node",
"type": "n8n-nodes-base.airtable",
"position": [
200,
600
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appt6kHkRkLlUh033",
"cachedResultUrl": "https://airtable.com/appt6kHkRkLlUh033",
"cachedResultName": "Linkdin"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tbliloartO26TD5TG",
"cachedResultUrl": "https://airtable.com/appt6kHkRkLlUh033/tbliloartO26TD5TG",
"cachedResultName": "Used Articles"
},
"columns": {
"value": {
"id": "={{ $('download image for post').item.json.id }}",
"value": "={{ $('download image for post').item.json.id }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "value",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "value",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "create"
},
"credentials": {
"airtableTokenApi": {
"id": "9bPeAvakB1tkDxsW",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "72abb016-8f58-4c4c-b492-9ba7a576441a",
"name": "map used articls ids",
"type": "n8n-nodes-base.code",
"position": [
200,
-80
],
"parameters": {
"jsCode": "let values = $input.all().map(item => item.json.value);
return [
{
json: {
values: values
}
}
];"
},
"typeVersion": 2
},
{
"id": "c49d5db2-d1c9-4444-8fa8-f39197e2a472",
"name": "filter only unused Ids",
"type": "n8n-nodes-base.filter",
"position": [
640,
-80
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "934a4ab8-bc6b-4d1b-b050-c1f19a03cc9f",
"operator": {
"type": "array",
"operation": "notContains",
"rightType": "any"
},
"leftValue": "={{ $('map used articls ids').item.json.values }}",
"rightValue": "={{ $json.articles }}"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "0b390b7d-8729-48e5-aadc-5aa9da8c7139",
"name": "get random tags",
"type": "n8n-nodes-base.code",
"position": [
-280,
-80
],
"parameters": {
"jsCode": "const devToTags = [
\"android\",
\"androiddev\",
\"kotlin\",
\"jetpack-compose\",
\"android-appdevelopment\",
\"app-development\"
];
function getRandomValuesAsObjects(list, count) {
const randomValues = [];
for (let i = 0; i < count; i++) {
const randomIndex = Math.floor(Math.random() * list.length);
randomValues.push({ json: { value: list[randomIndex] } });
}
return randomValues;
}
return getRandomValuesAsObjects(devToTags, 1);
"
},
"typeVersion": 2
},
{
"id": "6b16bc15-8d82-4aa0-9ee2-5a10f070d106",
"name": "sent the status",
"type": "n8n-nodes-base.telegram",
"position": [
520,
600
],
"webhookId": "9373d46a-d5ad-40f4-93c0-7a44ff5fea37",
"parameters": {
"text": "=Linkdin Post Sent Successfully
{{ $('If').item.json.title }}
Db Status Id {{ $json.id }}",
"chatId": "1199262493",
"replyMarkup": "inlineKeyboard",
"additionalFields": {
"appendAttribution": false
}
},
"credentials": {
"telegramApi": {
"id": "R8nJZScHqw02haLU",
"name": "Mr.4rogrammer bot"
}
},
"typeVersion": 1.2
},
{
"id": "99c5ed96-4220-46b0-9a2a-628963393894",
"name": "Morning 9 Clock",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-560,
-80
],
"parameters": {
"rule": {
"interval": [
{
"field": "cronExpression",
"expression": "0 9,19 * * *"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "c81c749a-e21b-4ba6-beae-2b8a21523c06",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-560,
-600
],
"parameters": {
"width": 920,
"height": 400,
"content": "# 📢 Auto-Post Medium Articles to LinkedIn with Telegram Alerts
This n8n workflow automates your LinkedIn posting by fetching articles from [medium.com](medium.com) twice a day (9:00 AM and 7:00 PM), ensuring consistent content sharing without manual effort.
To prevent duplicates, it stores posted article IDs in Airtable. It also sends a Telegram message after every successful post, so you stay updated.
---
"
},
"typeVersion": 1
},
{
"id": "61171a34-53a3-448a-886c-b0cc83b75b33",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
-520
],
"parameters": {
"width": 580,
"height": 240,
"content": "
## ✅ Features
- 🕒 Runs twice daily at 9:00 AM and 7:00 PM (customizable)
- 📰 Fetches latest medium.com articles by tag
- 📂 Uses Airtable to avoid reposting the same article
- 📢 Posts to your LinkedIn profile or company page
- 📬 Sends a Telegram notification after successful posting
- ⚙️ Fully customizable schedule, tags, and post format"
},
"typeVersion": 1
},
{
"id": "c6712f11-2852-49af-8fb9-235da0e4685c",
"name": "fetch article ids from tag",
"type": "n8n-nodes-base.httpRequest",
"position": [
420,
-80
],
"parameters": {
"url": "=https://medium2.p.rapidapi.com/search/articles?query={{ $('get random tags').first().json.value }}",
"options": {},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "x-rapidapi-host",
"value": "medium2.p.rapidapi.com"
},
{
"name": "x-rapidapi-key",
"value": ""
}
]
}
},
"typeVersion": 4.2
},
{
"id": "6382e23e-e214-48b4-8d93-06fc2c74e7cc",
"name": "Fetch Medium post using Article Id",
"type": "n8n-nodes-base.httpRequest",
"position": [
880,
-80
],
"parameters": {
"url": "=https://medium2.p.rapidapi.com/article/{{ $json.articles.randomItem() }}",
"options": {},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "x-rapidapi-host",
"value": "medium2.p.rapidapi.com"
},
{
"name": "x-rapidapi-key",
"value": ""
}
]
}
},
"typeVersion": 4.2
},
{
"id": "eb92a4b3-d468-4d0f-8488-e6edb122b1db",
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
-200,
260
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "69a60b53-f719-44e8-9ca4-97b99205a253",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json.image_url }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "792507fc-f956-4bc7-9c56-80f1078643a1",
"name": "make Linkedin post",
"type": "n8n-nodes-base.linkedIn",
"position": [
740,
240
],
"parameters": {
"text": "={{ $('Fetch Medium post content').item.json.content.substring(0, 600) }} ...
Article link : https://freedium.cfd/{{ $('If').item.json.url }}
#AndroidDevelopment #MobileAppDevelopment #AppDevelopment #Programming #SoftwareEngineering #TechCommunity #DeveloperLife #Kotlin #LinkedInDevelopers
#Mr4rogrammer #isharewhatilearn",
"person": "BQYGc4bH9N",
"additionalFields": {
"title": "=💫 {{ $('If').item.json.title }} ⭐",
"visibility": "PUBLIC"
},
"shareMediaCategory": "IMAGE"
},
"credentials": {
"linkedInOAuth2Api": {
"id": "TODMZHWKWUyYl0qb",
"name": "LinkedIn account"
}
},
"typeVersion": 1
},
{
"id": "b5026d10-0bcf-4ef4-a42e-0d8162a7eccc",
"name": "Fetch Medium post content",
"type": "n8n-nodes-base.httpRequest",
"position": [
100,
240
],
"parameters": {
"url": "=https://medium2.p.rapidapi.com/article/{{$json.id}}/content",
"options": {},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "x-rapidapi-host",
"value": "medium2.p.rapidapi.com"
},
{
"name": "x-rapidapi-key",
"value": ""
}
]
}
},
"typeVersion": 4.2
},
{
"id": "d25bf5d7-0258-4f07-b0b7-54ace75ef697",
"name": "download image for post",
"type": "n8n-nodes-base.httpRequest",
"position": [
420,
240
],
"parameters": {
"url": "={{ $('If').item.json.image_url }}",
"options": {
"allowUnauthorizedCerts": false
},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "User-Agent",
"value": "Mozilla/5.0"
}
]
}
},
"typeVersion": 4.2,
"alwaysOutputData": false
}
],
"active": false,
"pinData": {},
"settings": {
"timezone": "Asia/Kolkata",
"callerPolicy": "workflowsFromSameOwner",
"executionOrder": "v1"
},
"versionId": "cc2275e5-a8d2-468c-be91-5e14ad568e3a",
"connections": {
"If": {
"main": [
[
{
"node": "Fetch Medium post content",
"type": "main",
"index": 0
}
],
[
{
"node": "get random tags",
"type": "main",
"index": 0
}
]
]
},
"get random tags": {
"main": [
[
{
"node": "Get List of records used",
"type": "main",
"index": 0
}
]
]
},
"Morning 9 Clock": {
"main": [
[
{
"node": "get random tags",
"type": "main",
"index": 0
}
]
]
},
"make Linkedin post": {
"main": [
[
{
"node": "Update the used node",
"type": "main",
"index": 0
}
]
]
},
"Update the used node": {
"main": [
[
{
"node": "sent the status",
"type": "main",
"index": 0
}
]
]
},
"map used articls ids": {
"main": [
[
{
"node": "fetch article ids from tag",
"type": "main",
"index": 0
}
]
]
},
"filter only unused Ids": {
"main": [
[
{
"node": "Fetch Medium post using Article Id",
"type": "main",
"index": 0
}
]
]
},
"download image for post": {
"main": [
[
{
"node": "make Linkedin post",
"type": "main",
"index": 0
}
]
]
},
"Get List of records used": {
"main": [
[
{
"node": "map used articls ids",
"type": "main",
"index": 0
}
]
]
},
"Fetch Medium post content": {
"main": [
[
{
"node": "download image for post",
"type": "main",
"index": 0
}
]
]
},
"fetch article ids from tag": {
"main": [
[
{
"node": "filter only unused Ids",
"type": "main",
"index": 0
}
]
]
},
"Fetch Medium post using Article Id": {
"main": [
[
{
"node": "If",
"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
- Airtable
- Code
- Filter
- Telegram
- Scheduletrigger
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