Real Estate Market Scanning
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": "WUFuYk56jNNpjfZm",
"meta": {
"instanceId": "bb9853d4d7d87207561a30bc6fe4ece20b295264f7d27d4a62215de2f3846a56"
},
"name": "Real Estate Market Scanning",
"tags": [],
"nodes": [
{
"id": "db8f34be-8475-4be6-b070-79a8185fad69",
"name": "Schedule Market Scan",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-1580,
260
],
"parameters": {
"rule": {
"interval": [
{
"field": "hours"
}
]
}
},
"typeVersion": 1.1
},
{
"id": "36f4babd-3441-4da7-b485-3f9f561cb929",
"name": "BatchData API Configuration",
"type": "n8n-nodes-base.set",
"position": [
-1380,
260
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "f44f6a90-6de5-4c02-909d-73cfce0c0c9a",
"name": "apiKey",
"type": "string",
"value": "YOUR_BATCHDATA_API_KEY"
},
{
"id": "9356ff74-9783-40cf-a8af-94e45f1ac83e",
"name": "searchParameters",
"type": "object",
"value": "={
\"city\": \"Austin\",
\"state\": \"TX\",
\"minimumMarketValue\": 250000,
\"maximumMarketValue\": 600000,
\"minimumEquity\": 30,
\"propertyType\": [\"SFR\"],
\"limit\": 100
}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "e34c4c84-4b31-451f-ad16-11db76f67dce",
"name": "Query BatchData Properties",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1180,
260
],
"parameters": {
"url": "https://api.batchdata.com/api/v1/properties/search",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "city",
"value": "={{ $json.searchParameters.city }}"
},
{
"name": "state",
"value": "={{ $json.searchParameters.state }}"
},
{
"name": "minimumMarketValue",
"value": "={{ $json.searchParameters.minimumMarketValue }}"
},
{
"name": "maximumMarketValue",
"value": "={{ $json.searchParameters.maximumMarketValue }}"
},
{
"name": "minimumEquity",
"value": "={{ $json.searchParameters.minimumEquity }}"
},
{
"name": "propertyType",
"value": "={{ $json.searchParameters.propertyType }}"
},
{
"name": "limit",
"value": "={{ $json.searchParameters.limit }}"
}
]
},
"genericAuthType": "httpHeaderAuth"
},
"typeVersion": 4.1
},
{
"id": "c6d4c4ee-51d4-41f5-a975-e979785e9166",
"name": "Get Previous Results",
"type": "n8n-nodes-base.code",
"position": [
-980,
260
],
"parameters": {
"jsCode": "// Get the stored data from previous runs
const workflowStaticData = getWorkflowStaticData('global');
// If no previous data exists, initialize it
if (!workflowStaticData.hasOwnProperty('previousProperties')) {
workflowStaticData.previousProperties = [];
}
// Add the previous properties data to the current item
return [
{
json: {
...items[0].json,
previousProperties: workflowStaticData.previousProperties,
currentProperties: items[0].json.data.properties || [],
}
}
];"
},
"typeVersion": 2
},
{
"id": "a77dfe55-8a01-4b83-9395-ab533e1b7b24",
"name": "Compare Results",
"type": "n8n-nodes-base.code",
"position": [
-780,
260
],
"parameters": {
"jsCode": "// Get the current and previous property lists
const currentProperties = items[0].json.currentProperties;
const previousProperties = items[0].json.previousProperties;
// Create a map of previous properties by their ID for easier comparison
const previousPropertiesMap = {};
for (const property of previousProperties) {
previousPropertiesMap[property.id] = property;
}
// Find new properties (those in current but not in previous)
const newProperties = currentProperties.filter(property =>
!previousPropertiesMap[property.id]
);
// Find changed properties (those in both but with different values)
const changedProperties = currentProperties.filter(property => {
const previousProperty = previousPropertiesMap[property.id];
if (!previousProperty) return false;
// Check if important values changed (price, status, etc.)
return (
property.marketValue !== previousProperty.marketValue ||
property.status !== previousProperty.status ||
property.ownerStatus !== previousProperty.ownerStatus ||
property.lastSaleDate !== previousProperty.lastSaleDate
);
});
// Update the static data for the next run
const workflowStaticData = getWorkflowStaticData('global');
workflowStaticData.previousProperties = currentProperties;
// Return the combined results
return [
{
json: {
...items[0].json,
newProperties,
changedProperties,
allChanges: [...newProperties, ...changedProperties]
}
}
];"
},
"typeVersion": 2
},
{
"id": "c8c01396-58e8-4782-b1aa-0cc3059ef80f",
"name": "Split Properties",
"type": "n8n-nodes-base.splitOut",
"position": [
-560,
260
],
"parameters": {
"options": {},
"fieldToSplitOut": "allChanges"
},
"typeVersion": 1
},
{
"id": "7971a981-d2e8-4d96-b3ef-ad6e532d95fe",
"name": "Filter High Potential",
"type": "n8n-nodes-base.filter",
"position": [
-380,
260
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "83c15f54-20d9-460c-a3f5-82f6c98d3d63",
"operator": {
"type": "number",
"operation": "larger"
},
"leftValue": "={{ $json.equityPercentage || 0 }}",
"rightValue": 40
},
{
"id": "53bf77b8-4c78-4f87-a518-0e9a56c77a70",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json.ownerStatus || '' }}",
"rightValue": "absentee"
}
]
}
},
"typeVersion": 2.1
},
{
"id": "f5c20b50-d514-4d26-a3e7-874f228578e9",
"name": "Get Property Details",
"type": "n8n-nodes-base.httpRequest",
"position": [
-180,
260
],
"parameters": {
"url": "=https://api.batchdata.com/api/v1/properties/{{ $json.id }}",
"options": {},
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"typeVersion": 4.1
},
{
"id": "f83e4ccb-4457-4e00-97b7-ad411decba80",
"name": "Format Email Content",
"type": "n8n-nodes-base.set",
"position": [
20,
260
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ad37cef8-0359-4fb8-8c54-e5a5a0aa1082",
"name": "emailSubject",
"type": "string",
"value": "=New Property Opportunity: {{ $json.address.street }}, {{ $json.address.city }}, {{ $json.address.state }}"
},
{
"id": "9c1b6e34-b31e-4e46-a6b3-ea7c34b4456a",
"name": "emailContent",
"type": "string",
"value": "=<h2>High Potential Property Opportunity</h2>
<p><strong>Address:</strong> {{ $json.address.street }}, {{ $json.address.city }}, {{ $json.address.state }} {{ $json.address.zip }}</p>
<p><strong>Property Details:</strong></p>
<ul>
<li>Market Value: ${{ $json.marketValue }}</li>
<li>Equity: {{ $json.equityPercentage }}%</li>
<li>Owner Status: {{ $json.ownerStatus }}</li>
<li>Square Feet: {{ $json.squareFeet }}</li>
<li>Bedrooms: {{ $json.bedrooms }}</li>
<li>Bathrooms: {{ $json.bathrooms }}</li>
<li>Year Built: {{ $json.yearBuilt }}</li>
<li>Last Sale Date: {{ $json.lastSaleDate }}</li>
<li>Last Sale Price: ${{ $json.lastSalePrice }}</li>
</ul>
<p><strong>Owner Information:</strong></p>
<ul>
<li>Owner Name: {{ $json.owner.name }}</li>
<li>Mailing Address: {{ $json.owner.mailingAddress }}</li>
<li>Phone Numbers: {{ $json.owner.phoneNumbers ? $json.owner.phoneNumbers.join(', ') : 'N/A' }}</li>
<li>Email: {{ $json.owner.email || 'N/A' }}</li>
</ul>
<p>This property appears to be a high-potential opportunity based on:</p>
<ul>
<li>High equity percentage</li>
<li>Absentee owner</li>
</ul>
<p><a href=\"https://maps.google.com/?q={{ $json.address.street }}, {{ $json.address.city }}, {{ $json.address.state }} {{ $json.address.zip }}\">View on Google Maps</a></p>"
},
{
"id": "eac4a51e-edfe-457a-9b38-a6c6f9e17ffd",
"name": "slackMessage",
"type": "string",
"value": "=*New High Potential Property Lead*
*Address:* {{ $json.address.street }}, {{ $json.address.city }}, {{ $json.address.state }} {{ $json.address.zip }}
*Market Value:* ${{ $json.marketValue }}
*Equity:* {{ $json.equityPercentage }}%
*Owner Status:* {{ $json.ownerStatus }}
<https://maps.google.com/?q={{ $json.address.street }}, {{ $json.address.city }}, {{ $json.address.state }} {{ $json.address.zip }}|View on Google Maps>"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "3f69ccd0-24c8-490f-a1ec-305f14819d39",
"name": "Send Email Alert",
"type": "n8n-nodes-base.emailSend",
"position": [
400,
180
],
"webhookId": "efb002e7-21e3-483c-9a4f-f95f400ad203",
"parameters": {
"options": {},
"subject": "={{ $json.emailSubject }}",
"toEmail": "salesteam@yourcompany.com",
"fromEmail": "alerts@yourcompany.com"
},
"typeVersion": 2
},
{
"id": "416661ac-8068-44fd-b95f-6b978834eed9",
"name": "Post to Slack",
"type": "n8n-nodes-base.slack",
"position": [
280,
320
],
"webhookId": "b50cadef-1223-47fa-bf5f-1512b4c323f0",
"parameters": {
"text": "={{ $json.slackMessage }}",
"otherOptions": {}
},
"typeVersion": 2
},
{
"id": "f6b33048-3224-4b2d-a3e3-fd21dc1f42aa",
"name": "Sticky Note Main Flow",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1660,
120
],
"parameters": {
"width": 1040,
"height": 340,
"content": "## Main Workflow Flow
This part of the workflow handles the regular scanning and processing of property data. It runs on a schedule to detect new properties or changes to existing ones, then passes the filtered results along for detailed analysis."
},
"typeVersion": 1
},
{
"id": "82472e40-7132-40ac-9c9b-4635f604d92a",
"name": "Sticky Note Filter & Analyze",
"type": "n8n-nodes-base.stickyNote",
"position": [
-600,
120
],
"parameters": {
"width": 760,
"height": 340,
"content": "## Property Filtering & Analysis
Here we filter the properties based on criteria for high-potential leads (high equity %, absentee owners, etc.) and fetch detailed information about each property to prepare comprehensive reports for the sales team."
},
"typeVersion": 1
},
{
"id": "4538e728-f86c-4cf3-a69e-ce42ca5bb83e",
"name": "Sticky Note Notifications",
"type": "n8n-nodes-base.stickyNote",
"position": [
180,
-40
],
"parameters": {
"width": 440,
"height": 500,
"content": "## Notifications
This section delivers the property leads to the sales team through multiple channels:
1. Email alerts with detailed property and owner information
2. Slack notifications for quick updates
Both include Google Maps links to quickly view the property location."
},
"typeVersion": 1
},
{
"id": "4e09ea20-a6a3-4e6c-a67c-95cbd79f9151",
"name": "Sticky Note Instructions",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1660,
-220
],
"parameters": {
"width": 1040,
"height": 300,
"content": "## Setup Instructions
1. **API Keys & Credentials**:
- Add your BatchData API Key to the BatchData API Configuration node
- Set up SMTP credentials for email delivery
- Configure Slack API credentials for team notifications
2. **Customize Search Parameters**:
- Adjust property search criteria in the BatchData API Configuration node
- Modify the filtering conditions in the Filter High Potential node
3. **Notification Recipients**:
- Update email recipients in the Send Email Alert node
- Set appropriate Slack channel in the Post to Slack node"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "21dfe7cd-d858-4954-a4da-b0dd11d17aff",
"connections": {
"Compare Results": {
"main": [
[
{
"node": "Split Properties",
"type": "main",
"index": 0
}
]
]
},
"Split Properties": {
"main": [
[
{
"node": "Filter High Potential",
"type": "main",
"index": 0
}
]
]
},
"Format Email Content": {
"main": [
[
{
"node": "Send Email Alert",
"type": "main",
"index": 0
},
{
"node": "Post to Slack",
"type": "main",
"index": 0
}
]
]
},
"Get Previous Results": {
"main": [
[
{
"node": "Compare Results",
"type": "main",
"index": 0
}
]
]
},
"Get Property Details": {
"main": [
[
{
"node": "Format Email Content",
"type": "main",
"index": 0
}
]
]
},
"Schedule Market Scan": {
"main": [
[
{
"node": "BatchData API Configuration",
"type": "main",
"index": 0
}
]
]
},
"Filter High Potential": {
"main": [
[
{
"node": "Get Property Details",
"type": "main",
"index": 0
}
]
]
},
"Query BatchData Properties": {
"main": [
[
{
"node": "Get Previous Results",
"type": "main",
"index": 0
}
]
]
},
"BatchData API Configuration": {
"main": [
[
{
"node": "Query BatchData Properties",
"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
- Set
- Httprequest
- Code
- Splitout
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