ProspectLens company research
工作流概述
这是一个包含7个节点的中等工作流，主要用于自动化处理各种任务。
工作流源代码
{
"id": "wwvUsosYUyMfpGbB",
"meta": {
"instanceId": "5b860a91d7844b5237bb51cc58691ca8c3dc5b576f42d4d6bbedfb8d43d58ece",
"templateCredsSetupCompleted": true
},
"name": "ProspectLens company research",
"tags": [],
"nodes": [
{
"id": "fd68acdf-ed1e-4f69-a046-fcdaa626acca",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
720,
400
],
"parameters": {},
"typeVersion": 1
},
{
"id": "d4e4875a-e41f-4248-937a-a4658c23eb5e",
"name": "Filter",
"type": "n8n-nodes-base.filter",
"notes": "Only process rows which have empty processed_at field",
"position": [
1160,
400
],
"parameters": {
"options": {
"looseTypeValidation": true
},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "5aca0836-4797-41d3-8094-f3a170e5a3c9",
"operator": {
"type": "string",
"operation": "empty",
"singleValue": true
},
"leftValue": "={{ $json.processed_at }}",
"rightValue": ""
}
]
}
},
"notesInFlow": true,
"typeVersion": 2
},
{
"id": "e12c1846-dd38-414c-8e2e-8d0834ad8668",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
880,
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],
"parameters": {
"width": 725,
"height": 316.25,
"content": "## Company research via Google Sheets and ProspectLens
Get your API key:
https://apiroad.net/marketplace/apis/prospectlens
Copy Google Sheet template:
https://docs.google.com/spreadsheets/d/1S2S18hvfBoFsUgRYPyizH6uv7WwI218frvOqu2bV3wk/edit?gid=0#gid=0"
},
"typeVersion": 1
},
{
"id": "b0385041-92c4-41a4-b0e8-9f2a7cc6fd56",
"name": "Save company data into Sheets",
"type": "n8n-nodes-base.googleSheets",
"position": [
2000,
380
],
"parameters": {
"columns": {
"value": {
"data": "={{ JSON.stringify($json.data).substr(0, 2000) }}",
"name": "={{ $json.data.properties.title }}",
"funds": "={{ $json.data.info.funding_rounds_summary.funding_total.value }}",
"domain": "={{ $('Filter').item.json.domain }}",
"traffic": "={{ $json.data.info.semrush_summary.semrush_visits_latest_month }}",
"location": "={{ $json.data.info.semrush_location_list[0].location_identifiers[0].value }}",
"description": "={{ $json.data.properties.short_description }}",
"domain_name": "={{ $json.data.info.company_about_fields.website.hostname }}",
"processed_at": "={{ (new Date).toISOString() }}",
"year_founded": "={{ $json.data.info.overview_fields_extended.founded_on.value }}",
"funding_round": "={{ $json.data.info.funding_rounds_summary.last_funding_type }}",
"last_funding_at": "={{ $json.data.info.funding_rounds_summary.last_funding_at }}"
},
"schema": [
{
"id": "domain",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "domain",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "description",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "description",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "processed_at",
"type": "string",
"display": true,
"required": false,
"displayName": "processed_at",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "data",
"type": "string",
"display": true,
"required": false,
"displayName": "data",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "domain_name",
"type": "string",
"display": true,
"required": false,
"displayName": "domain_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "traffic",
"type": "string",
"display": true,
"required": false,
"displayName": "traffic",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "location",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "location",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "funds",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "funds",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "year_founded",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "year_founded",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "funding_round",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "funding_round",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "last_funding_at",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "last_funding_at",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "row_number",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "row_number",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"domain"
]
},
"options": {},
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1X2hKT8cD6fTQUdALg91EwQDCM58YNY4pHe-7rmESzlk/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1X2hKT8cD6fTQUdALg91EwQDCM58YNY4pHe-7rmESzlk",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1X2hKT8cD6fTQUdALg91EwQDCM58YNY4pHe-7rmESzlk/edit?usp=drivesdk",
"cachedResultName": "n8n_prospectlens"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "vowsrhMIxy2PRDbH",
"name": "Google Sheets account"
}
},
"typeVersion": 4.4
},
{
"id": "e048f8d0-57c2-43ac-bedf-1a517b203df3",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"notes": "Used to keep low concurrency (1 thread)",
"position": [
1400,
380
],
"parameters": {
"options": {}
},
"notesInFlow": true,
"typeVersion": 3
},
{
"id": "b6898b5e-dba5-425d-8f9b-d996dcb6cff2",
"name": "ProspectLens API call",
"type": "n8n-nodes-base.httpRequest",
"notes": "ProspectLens API",
"onError": "continueErrorOutput",
"maxTries": 2,
"position": [
1680,
380
],
"parameters": {
"url": "=https://prospectlens.apiroad.net/lookup?domain={{ $json.domain }}",
"options": {
"response": {
"response": {}
}
},
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "tcCkO83Qn399Hizf",
"name": "APIRoad auth"
}
},
"notesInFlow": true,
"retryOnFail": true,
"typeVersion": 4.2
},
{
"id": "4c625e34-728c-49ae-8e22-4b4a343354cb",
"name": "Get all rows from Sheets",
"type": "n8n-nodes-base.googleSheets",
"position": [
940,
400
],
"parameters": {
"options": {},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1X2hKT8cD6fTQUdALg91EwQDCM58YNY4pHe-7rmESzlk/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1X2hKT8cD6fTQUdALg91EwQDCM58YNY4pHe-7rmESzlk",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1X2hKT8cD6fTQUdALg91EwQDCM58YNY4pHe-7rmESzlk/edit?usp=drivesdk",
"cachedResultName": "n8n_prospectlens"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "vowsrhMIxy2PRDbH",
"name": "Google Sheets account"
}
},
"typeVersion": 4.4
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "ea844f9f-c06e-4a0c-98db-a670709c2025",
"connections": {
"Filter": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "ProspectLens API call",
"type": "main",
"index": 0
}
]
]
},
"ProspectLens API call": {
"main": [
[
{
"node": "Save company data into Sheets",
"type": "main",
"index": 0
}
],
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Get all rows from Sheets": {
"main": [
[
{
"node": "Filter",
"type": "main",
"index": 0
}
]
]
},
"Save company data into Sheets": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Get all rows from Sheets",
"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
- Filter
- Stickynote
- Googlesheets
- Splitinbatches
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