Matomo Analytics Report
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": "PRQhetYFkuhxntVH",
"meta": {
"instanceId": "558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a",
"templateCredsSetupCompleted": true
},
"name": "Matomo Analytics Report",
"tags": [],
"nodes": [
{
"id": "fd35d612-09a6-4dd3-836b-53d03b75f344",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
120,
360
],
"parameters": {},
"typeVersion": 1
},
{
"id": "c8169606-3abd-4dd3-bd35-fdc0296fc0e1",
"name": "Schedule Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
120,
160
],
"parameters": {
"rule": {
"interval": [
{
"field": "weeks"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "760a87e3-ed8f-4b1e-a46b-4ceb635020d4",
"name": "Get data from Matomo",
"type": "n8n-nodes-base.httpRequest",
"position": [
380,
260
],
"parameters": {
"url": "https://shrewd-lyrebird.pikapod.net/index.php",
"method": "POST",
"options": {},
"sendBody": true,
"contentType": "multipart-form-data",
"bodyParameters": {
"parameters": [
{
"name": "module",
"value": "API"
},
{
"name": "method",
"value": "Live.getLastVisitsDetails"
},
{
"name": "idSite",
"value": "3"
},
{
"name": "period",
"value": "range"
},
{
"name": "date",
"value": "last30"
},
{
"name": "format",
"value": "JSON"
},
{
"name": "segment",
"value": "visitCount>3"
},
{
"name": "filter_limit",
"value": "100"
},
{
"name": "showColumns",
"value": "actionDetails,visitIp,visitorId,visitCount"
},
{
"name": "token_auth",
"value": "{insert your auth token}"
}
]
}
},
"typeVersion": 4.1
},
{
"id": "f9e9a099-3131-4320-8a86-b9add4e43096",
"name": "Parse data from Matomo",
"type": "n8n-nodes-base.code",
"position": [
580,
260
],
"parameters": {
"jsCode": "// Get input data
const items = $input.all();
// Format the visitor data into a clear prompt
const visitorData = items.map(item => {
const visit = item.json;
const visitorActions = visit.actionDetails.map(action =>
` - Page ${action.pageviewPosition}: ${action.pageTitle}\n URL: ${action.url}\n Time Spent: ${action.timeSpentPretty}`
).join('\n');
return `- Visitor (ID: ${visit.visitorId}):\n Visit Count: ${visit.visitCount}\n${visitorActions}`;
}).join('\n\n');
// Create the prompt
const prompt = `Please analyze this visitor data:\n\n${visitorData}\n\nPlease provide insights on:\n1. Common visitor paths\n2. Popular pages\n3. User engagement patterns\n4. Recommendations for improvement`;
// Return formatted for LLaMA
return [{
json: {
messages: [
{
role: \"user\",
content: prompt
}
]
}
}];"
},
"typeVersion": 2
},
{
"id": "387832ee-8397-43f8-bf62-846e4a7a20d0",
"name": "Send data to A.I. for analysis",
"type": "n8n-nodes-base.httpRequest",
"position": [
760,
260
],
"parameters": {
"url": "https://openrouter.ai/api/v1/chat/completions",
"method": "POST",
"options": {},
"jsonBody": "={
\"model\": \"meta-llama/llama-3.1-70b-instruct:free\",
\"messages\": [
{
\"role\": \"user\",
\"content\": \"You are an SEO expert. This is data of visitors who have visited my site more then 3 times and the pages they have visited. Can you give me insights into this data:{{ encodeURIComponent($json.messages[0].content)}}\"
}
]
}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "WY7UkF14ksPKq3S8",
"name": "Header Auth account 2"
}
},
"typeVersion": 4.2,
"alwaysOutputData": false
},
{
"id": "7ee29949-550e-4f3a-8420-49ca2608bbeb",
"name": "Store results in Baserow",
"type": "n8n-nodes-base.baserow",
"position": [
1060,
260
],
"parameters": {
"tableId": 643,
"fieldsUi": {
"fieldValues": [
{
"fieldId": 6261,
"fieldValue": "={{ DateTime.now().toFormat('yyyy-MM-dd') }}"
},
{
"fieldId": 6262,
"fieldValue": "={{ $json.choices[0].message.content }}"
},
{
"fieldId": 6263,
"fieldValue": "Your blog name"
}
]
},
"operation": "create",
"databaseId": 121
},
"credentials": {
"baserowApi": {
"id": "8w0zXhycIfCAgja3",
"name": "Baserow account"
}
},
"typeVersion": 1
},
{
"id": "684ca1c9-97c3-4464-8ce6-aa6019db0c04",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
80,
-360
],
"parameters": {
"color": 5,
"width": 615,
"height": 289,
"content": "## Send Matomo analytics to A.I. and save results to baserow
This workflow will check for visitors who have visited more than 3 times. It will take this week's data and compare it to last week's data and give SEO suggestions.
[Watch youtube tutorial here](https://www.youtube.com/watch?v=hGzdhXyU-o8)
[Get my SEO A.I. agent system here](https://2828633406999.gumroad.com/l/rumjahn)
[💡 You can read more about this workflow here](https://rumjahn.com/how-to-create-an-a-i-agent-to-analyze-matomo-analytics-using-n8n-for-free/)
"
},
"typeVersion": 1
},
{
"id": "29723224-416e-46b4-a498-90888eb9a41b",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
320,
-20
],
"parameters": {
"width": 224.51612903225822,
"height": 461.4193548387107,
"content": "## Get Matomo Data
1. Enter your Matomo API key at the bottom
2. Navigate to Administration > Personal > Security > Auth tokens within your Matomo dashboard. Click on Create new token and provide a purpose for reference."
},
"typeVersion": 1
},
{
"id": "c694c855-c37a-4717-befd-d7a216f99e2d",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
700,
-20
],
"parameters": {
"color": 3,
"width": 225.99936321742769,
"height": 508.95792207792226,
"content": "## Send data to A.I.
Fill in your Openrouter A.I. credentials. Use Header Auth.
- Username: Authorization
- Password: Bearer {insert your API key}
Remember to add a space after bearer. Also, feel free to modify the prompt to A.1."
},
"typeVersion": 1
},
{
"id": "fdd12783-0456-4fc7-8030-555f058f2fd2",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
960,
-20
],
"parameters": {
"color": 6,
"width": 331.32883116883124,
"height": 474.88,
"content": "## Send data to Baserow
Create a table first with the following columns:
- Date
- Note
- Blog
Enter the name of your website under \"Blog\" field."
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "21a1d486-5bb8-40b9-9032-6ab22d8baebc",
"connections": {
"Schedule Trigger": {
"main": [
[
{
"node": "Get data from Matomo",
"type": "main",
"index": 0
}
]
]
},
"Get data from Matomo": {
"main": [
[
{
"node": "Parse data from Matomo",
"type": "main",
"index": 0
}
]
]
},
"Parse data from Matomo": {
"main": [
[
{
"node": "Send data to A.I. for analysis",
"type": "main",
"index": 0
}
]
]
},
"Send data to A.I. for analysis": {
"main": [
[
{
"node": "Store results in Baserow",
"type": "main",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Get data from Matomo",
"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
- Manualtrigger
- Scheduletrigger
- Httprequest
- Code
- Baserow
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