Automate Pinterest Analysis & AI-Powered Content Suggestions With Pinterest API
工作流概述
这是一个包含13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": "gP9EsxKN5agUGzDS",
"meta": {
"instanceId": "73d9d5380db181d01f4e26492c771d4cb5c4d6d109f18e2621cf49cac4c50763",
"templateCredsSetupCompleted": true
},
"name": "Automate Pinterest Analysis & AI-Powered Content Suggestions With Pinterest API",
"tags": [],
"nodes": [
{
"id": "7f582bb4-97cd-458e-a7b7-b518c5b8a4ca",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
540,
-260
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "95QGJD3XSz0piaNU",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "c6772882-468c-4391-a259-93e52daf49d4",
"name": "Airtable2",
"type": "n8n-nodes-base.airtableTool",
"position": [
700,
-260
],
"parameters": {
"id": "=",
"base": {
"__rl": true,
"mode": "list",
"value": "appfsNi1QEhw6WvXK",
"cachedResultUrl": "https://airtable.com/appfsNi1QEhw6WvXK",
"cachedResultName": "Pinterest_Metrics"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tbl9Dxdrwx5QZGFnp",
"cachedResultUrl": "https://airtable.com/appfsNi1QEhw6WvXK/tbl9Dxdrwx5QZGFnp",
"cachedResultName": "Pinterest_Organic_Data"
},
"options": {}
},
"credentials": {
"airtableTokenApi": {
"id": "0ApVmNsLu7aFzQD6",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "85ea8bec-14c8-4277-b2e3-eb145db0713a",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
920,
-280
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "95QGJD3XSz0piaNU",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "b8f7d0d6-b58f-4a41-a15d-99f4d838bb8c",
"name": "8:00am Morning Scheduled Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-660,
-140
],
"parameters": {
"rule": {
"interval": [
{
"daysInterval": 7,
"triggerAtHour": 8
}
]
}
},
"typeVersion": 1.2
},
{
"id": "593a320d-825e-42f9-8ab6-adafd5288fa5",
"name": "Pull List of Pinterest Pins From Account",
"type": "n8n-nodes-base.httpRequest",
"position": [
-340,
-140
],
"parameters": {
"url": "https://api.pinterest.com/v5/pins",
"options": {
"redirect": {
"redirect": {}
}
},
"sendBody": true,
"sendHeaders": true,
"bodyParameters": {
"parameters": [
{}
]
},
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": " "
}
]
}
},
"typeVersion": 4.2
},
{
"id": "1e6d00fe-2b32-4d46-a230-063254ebab74",
"name": "Update Data Field To Include Organic",
"type": "n8n-nodes-base.code",
"position": [
-20,
-140
],
"parameters": {
"jsCode": "// Initialize an array to hold the output formatted for Airtable
const outputItems = [];
for (const item of $input.all()) {
if (item.json.items && Array.isArray(item.json.items)) {
for (const subItem of item.json.items) {
// Construct an object with only the required fields for Airtable
outputItems.push({
id: subItem.id || null,
created_at: subItem.created_at || null,
title: subItem.title || null,
description: subItem.description || null,
link: subItem.link || null,
type: \"Organic\" // Assign the value \"Organic\" to the 'Type' field
});
}
}
}
// Return the structured output
return outputItems;
"
},
"typeVersion": 2
},
{
"id": "539de144-dc67-4b14-b58e-2896edb1c3e6",
"name": "Create Record Within Pinterest Data Table",
"type": "n8n-nodes-base.airtable",
"position": [
260,
-140
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appfsNi1QEhw6WvXK",
"cachedResultUrl": "https://airtable.com/appfsNi1QEhw6WvXK",
"cachedResultName": "Pinterest_Metrics"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tbl9Dxdrwx5QZGFnp",
"cachedResultUrl": "https://airtable.com/appfsNi1QEhw6WvXK/tbl9Dxdrwx5QZGFnp",
"cachedResultName": "Pinterest_Organic_Data"
},
"columns": {
"value": {
"link": "={{ $json.link }}",
"type": "={{ $json.type }}",
"title": "={{ $json.title }}",
"pin_id": "={{ $json.id }}",
"created_at": "={{ $json.created_at }}",
"description": "={{ $json.description }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "pin_id",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "pin_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "created_at",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "created_at",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"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": "link",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "link",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "type",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "type",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "active7DayUsers",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "active7DayUsers",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "sessions",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "sessions",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "userEngagementDuration",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "userEngagementDuration",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "upsert"
},
"credentials": {
"airtableTokenApi": {
"id": "0ApVmNsLu7aFzQD6",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "250f5121-437e-4bff-82af-95a156126127",
"name": "Pinterest Analysis AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
540,
-440
],
"parameters": {
"text": "You are a data analysis expert. You will pull data from the table and provide any information in regards to trends in the data.
Your output should be suggestions of new pins that we can post to reach the target audiences.
Analyze the data and just summary of the pin suggestions that the team should build. ",
"options": {},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "181e9d89-c0f9-4de2-bdce-9359b967157c",
"name": "Pinterest Data Analysis Summary LLM",
"type": "@n8n/n8n-nodes-langchain.chainSummarization",
"position": [
900,
-440
],
"parameters": {
"options": {
"summarizationMethodAndPrompts": {
"values": {
"prompt": "=Write a concise summary of the following:
\"{{ $json.output }}\"
CONCISE SUMMARY:"
}
}
}
},
"typeVersion": 2
},
{
"id": "432e7bd7-36b4-4903-8e93-c8bd6e140a04",
"name": "Send Marketing Trends & Pinterest Analysis To Marketing Manager",
"type": "n8n-nodes-base.gmail",
"position": [
1220,
-440
],
"webhookId": "f149c1b5-c028-4dff-9d22-a72951f2ef91",
"parameters": {
"sendTo": "john.n.foster1@gmail.com",
"message": "={{ $json.response.text }}",
"options": {},
"subject": "Pinterest Trends & Suggestions"
},
"credentials": {
"gmailOAuth2": {
"id": "pIXP1ZseBP4Z5CCp",
"name": "Gmail account"
}
},
"executeOnce": true,
"typeVersion": 2.1
},
{
"id": "dadfb22a-b1d3-459d-a332-5a2c52fd4ca0",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-740,
-320
],
"parameters": {
"color": 5,
"width": 280,
"height": 440,
"content": "Scheduled trigger at 8:00am to start the workflow.
This can be updated to your schedule preference as an email with marketing trends can be sent to best fit one's schedule. "
},
"typeVersion": 1
},
{
"id": "3b156d97-11bf-4d8a-9bd9-c1e23a0592d8",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-420,
-300
],
"parameters": {
"color": 6,
"width": 860,
"height": 360,
"content": "Scheduled trigger begin process to gather Pinterest Pin data and store them within Airtable. This data can be referenced or analyzed accordingly.
*If you would like to bring in Pinterest Ads data, the data is already labeled as Organic.
This is perfect for those who are creating content calendars to understand content scheduling."
},
"typeVersion": 1
},
{
"id": "65586422-a631-477b-833d-5c445b1be744",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
480,
-580
],
"parameters": {
"color": 4,
"width": 940,
"height": 460,
"content": "AI Agent will go through Pinterest Pins and analyze any data and trends to be able to reach target audience. The data is then summarized within the Summary LLM.
The summarized results are then sent to the Marketing Manager within an email to help lead content creation efforts. "
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "d6f64ee7-ae49-4a6b-8bf8-9a709c580357",
"connections": {
"Airtable2": {
"ai_tool": [
[
{
"node": "Pinterest Analysis AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Pinterest Analysis AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "Pinterest Data Analysis Summary LLM",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Pinterest Analysis AI Agent": {
"main": [
[
{
"node": "Pinterest Data Analysis Summary LLM",
"type": "main",
"index": 0
}
]
]
},
"8:00am Morning Scheduled Trigger": {
"main": [
[
{
"node": "Pull List of Pinterest Pins From Account",
"type": "main",
"index": 0
}
]
]
},
"Pinterest Data Analysis Summary LLM": {
"main": [
[
{
"node": "Send Marketing Trends & Pinterest Analysis To Marketing Manager",
"type": "main",
"index": 0
}
]
]
},
"Update Data Field To Include Organic": {
"main": [
[
{
"node": "Create Record Within Pinterest Data Table",
"type": "main",
"index": 0
},
{
"node": "Pinterest Analysis AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Pull List of Pinterest Pins From Account": {
"main": [
[
{
"node": "Update Data Field To Include Organic",
"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
- @N8N/N8N Nodes Langchain.Lmchatopenai
- Airtabletool
- Scheduletrigger
- Httprequest
- Code
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