AI를 사용하여 유인물을 풍부화하고 평점을 매기기
고급
이것은자동화 워크플로우로, 28개의 노드를 포함합니다.주로 Code, Gmail, Merge, Slack, Switch 등의 노드를 사용하며. Claude AI, PDL, Perplexity를 통해 유인물을 자동으로 풍부화하고 평가
사전 요구사항
- •Google 계정 및 Gmail API 인증 정보
- •Slack Bot Token 또는 Webhook URL
- •HubSpot API Key
- •HTTP Webhook 엔드포인트(n8n이 자동으로 생성)
- •대상 API의 인증 정보가 필요할 수 있음
- •Anthropic API Key
사용된 노드 (28)
카테고리
-
워크플로우 미리보기
노드 연결 관계를 시각적으로 표시하며, 확대/축소 및 이동을 지원합니다
워크플로우 내보내기
다음 JSON 구성을 복사하여 n8n에 가져오면 이 워크플로우를 사용할 수 있습니다
{
"id": "RGhbI0ICGWVFNcVv",
"meta": {
"instanceId": "42b2652ebb0a87755df4710a5630695eec8e35cb0ce04a63b0e25751b1f044f1",
"templateCredsSetupCompleted": true
},
"name": "Enrich and score leads with AI",
"tags": [],
"nodes": [
{
"id": "b66eb945-3521-4613-948d-a75c36ad09c4",
"name": "입력 검증 및 구문 분석",
"type": "n8n-nodes-base.code",
"position": [
-784,
480
],
"parameters": {
"jsCode": "const chatInput = $json.chatInput ? $json.chatInput.trim() : '';\n\nif (!chatInput) {\n return [{json: {error: 'No input provided', validationPassed: false}}];\n}\n\nconst parts = chatInput.split(',').map(p => p.trim());\nlet email, name;\n\nif (parts.length === 2) {\n email = parts[0].toLowerCase().replace(/['\"]/g, '');\n name = parts[1].replace(/['\"]/g, '');\n} else if (parts.length === 1) {\n email = parts[0].toLowerCase().replace(/['\"]/g, '');\n name = null;\n} else {\n return [{json: {error: 'Invalid format. Use: email or email, name', validationPassed: false}}];\n}\n\nconst emailRegex = new RegExp('^[^\\\\s@]+@[^\\\\s@]+\\\\.[^\\\\s@]+$');\nif (!emailRegex.test(email)) {\n return [{json: {error: 'Invalid email format: ' + email, validationPassed: false}}];\n}\n\nconst domain = email.split('@')[1];\nconst isFreeEmail = ['gmail.com', 'yahoo.com', 'hotmail.com', 'outlook.com'].includes(domain);\n\nreturn [{\n json: {\n email: email,\n name: name,\n domain: domain,\n isFreeEmail: isFreeEmail,\n originalInput: chatInput,\n timestamp: new Date().toISOString(),\n validationPassed: true\n }\n}];"
},
"typeVersion": 2
},
{
"id": "13770db8-7d8e-477f-ba58-6996ad31fc9a",
"name": "PDL 풍부화",
"type": "n8n-nodes-base.httpRequest",
"position": [
-608,
384
],
"parameters": {
"url": "https://api.peopledatalabs.com/v5/person/enrich",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "email",
"value": "={{ $json.email }}"
},
{
"name": "pretty",
"value": "true"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "ueZhQQeVyWm8j5Wb",
"name": "Zoom"
}
},
"typeVersion": 4.2,
"continueOnFail": true
},
{
"id": "0d603f14-9665-4563-aa6c-3f48f1b9d57e",
"name": "개인 리서치",
"type": "n8n-nodes-base.perplexity",
"position": [
-368,
272
],
"parameters": {
"options": {},
"messages": {
"message": [
{
"content": "=Research {{ $json.data.full_name }} at {{ $json.data.job_company_name }} for B2B sales context.\n\nFocus on:\n1. Recent career moves or promotions (last 6 months)\n2. Professional achievements and thought leadership\n3. Speaking engagements or publications\n4. Relevant timing signals for outreach\n\nProvide ONLY actionable insights for sales in under 150 words.\n\nFormat:\nRECENT ACTIVITY: [Key recent developments]\nEXPERTISE: [Professional focus areas]\nOUTREACH ANGLE: [Best conversation starter]\nTIMING: [High/Medium/Low urgency]"
}
]
},
"requestOptions": {}
},
"credentials": {
"perplexityApi": {
"id": "zcUXOu9Mm9oaXJep",
"name": "Perplexity account"
}
},
"typeVersion": 1,
"continueOnFail": true
},
{
"id": "e40a3d01-cf95-4a7e-818c-3df1609c2b61",
"name": "회사 리서치",
"type": "n8n-nodes-base.perplexity",
"position": [
-368,
416
],
"parameters": {
"options": {},
"messages": {
"message": [
{
"content": "=Research {{ $json.data.job_company_name }} for B2B sales intelligence.\n\nFocus ONLY on last 90 days:\n1. Funding rounds, acquisitions, or financial news\n2. Executive changes or restructuring\n3. New product launches or market expansion\n4. Technology stack changes or digital transformation\n5. Growth signals (hiring, new offices, partnerships)\n\nProvide under 150 words.\n\nFormat:\nRECENT DEVELOPMENTS: [Key changes]\nBUYING SIGNALS: [What suggests they're in market]\nCOMPANY HEALTH: [Financial/growth status]\nPRIORITY: [High/Medium/Low for sales timing]"
}
]
},
"requestOptions": {}
},
"credentials": {
"perplexityApi": {
"id": "zcUXOu9Mm9oaXJep",
"name": "Perplexity account"
}
},
"typeVersion": 1,
"continueOnFail": true
},
{
"id": "13eb8525-4863-4b36-8291-1dc811314255",
"name": "풍부화 데이터 병합",
"type": "n8n-nodes-base.code",
"position": [
224,
416
],
"parameters": {
"jsCode": "const inputs = $input.all();\n\nconst enrichedData = {\n contact: {\n email: null,\n name: null\n },\n enrichment: {\n pdl: {},\n individual: {},\n company: {},\n linkedin: {}\n },\n metadata: {\n enrichmentTimestamp: new Date().toISOString(),\n sourcesSuccessful: [],\n sourcesFailed: []\n }\n};\n\ninputs.forEach((input, index) => {\n const data = input.json;\n \n if (index === 0 && data.choices && data.choices[0] && data.choices[0].message && data.choices[0].message.content) {\n const content = data.choices[0].message.content;\n enrichedData.enrichment.individual = {\n rawResearch: content,\n recentActivity: extractSection(content, 'RECENT ACTIVITY'),\n expertise: extractSection(content, 'EXPERTISE'),\n outreachAngle: extractSection(content, 'OUTREACH ANGLE'),\n timing: extractSection(content, 'TIMING')\n };\n enrichedData.metadata.sourcesSuccessful.push('Individual Research');\n }\n \n else if (index === 1 && data && !data.error) {\n const pdl = data.data || data;\n enrichedData.enrichment.pdl = {\n fullName: pdl.full_name,\n jobTitle: pdl.job_title,\n companyName: pdl.job_company_name,\n companySize: pdl.job_company_size,\n industry: pdl.job_company_industry,\n seniorityLevel: pdl.job_title_levels,\n linkedinUrl: pdl.linkedin_url,\n location: pdl.location_name,\n skills: pdl.skills\n };\n enrichedData.contact.name = pdl.full_name;\n enrichedData.metadata.sourcesSuccessful.push('PDL');\n }\n \n else if (index === 2 && data.choices && data.choices[0] && data.choices[0].message && data.choices[0].message.content) {\n const content = data.choices[0].message.content;\n enrichedData.enrichment.company = {\n rawResearch: content,\n developments: extractSection(content, 'RECENT DEVELOPMENTS'),\n buyingSignals: extractSection(content, 'BUYING SIGNALS'),\n companyHealth: extractSection(content, 'COMPANY HEALTH'),\n priority: extractSection(content, 'PRIORITY')\n };\n enrichedData.metadata.sourcesSuccessful.push('Company Research');\n }\n \n else if (index === 3 && data && Array.isArray(data) && data.length > 0) {\n const profile = data[0];\n enrichedData.enrichment.linkedin = {\n headline: profile.headline,\n summary: profile.summary,\n recentPosts: profile.posts ? profile.posts.slice(0, 5) : [],\n connectionsCount: profile.connectionsCount,\n postsAnalyzed: true\n };\n enrichedData.metadata.sourcesSuccessful.push('LinkedIn');\n }\n \n else if (index === 4 && data.validationPassed) {\n enrichedData.contact.email = data.email;\n enrichedData.contact.domain = data.domain;\n enrichedData.contact.isFreeEmail = data.isFreeEmail;\n }\n});\n\nconst qualityScore = calculateQuality(enrichedData);\nenrichedData.metadata.dataQualityScore = qualityScore;\n\nfunction extractSection(text, header) {\n const pattern = header + ': ';\n const startIdx = text.indexOf(pattern);\n if (startIdx === -1) return 'N/A';\n const afterHeader = text.substring(startIdx + pattern.length);\n const endIdx = afterHeader.search(/\\n[A-Z]/);\n return endIdx === -1 ? afterHeader.trim() : afterHeader.substring(0, endIdx).trim();\n}\n\nfunction calculateQuality(data) {\n let score = 0;\n if (data.enrichment.pdl.fullName) score += 25;\n if (data.enrichment.individual.recentActivity !== 'N/A') score += 25;\n if (data.enrichment.company.developments !== 'N/A') score += 25;\n if (data.enrichment.linkedin.postsAnalyzed) score += 25;\n return score;\n}\n\nreturn [{ json: enrichedData }];"
},
"typeVersion": 2
},
{
"id": "c23aed66-e846-4781-a030-6cfb42b397ef",
"name": "모든 소스 병합",
"type": "n8n-nodes-base.merge",
"position": [
32,
368
],
"parameters": {
"numberInputs": 5
},
"typeVersion": 3.2
},
{
"id": "51e743be-5ec5-4de3-9dfb-0e4ef85f511a",
"name": "출력 구문 분석 및 구조화",
"type": "n8n-nodes-base.code",
"position": [
704,
416
],
"parameters": {
"jsCode": "const raw = $input.first().json.output;\n\nlet scoring;\ntry {\n let cleaned = raw.replace(/```json\\n?|```\\n?/g, '').trim();\n cleaned = cleaned.replace(/,(\\s*[}\\]])/g, '$1');\n scoring = JSON.parse(cleaned);\n \n} catch (err) {\n const extract = (field) => {\n const regex = new RegExp('\"' + field + '\":\\\\s*\"([^\"]*(?:\\\\\\\\.[^\"]*)*)\"', 's');\n const match = raw.match(regex);\n return match ? match[1].replace(/\\\\n/g, '\\n').replace(/\\\\\"/g, '\"') : null;\n };\n \n const extractArray = (field) => {\n const regex = new RegExp('\"' + field + '\":\\\\s*\\\\[([^\\\\]]+)\\\\]', 's');\n const match = raw.match(regex);\n if (!match) return [];\n return match[1].split(',').map(s => s.trim().replace(/^\"|\"$/g, ''));\n };\n \n const extractNumber = (field) => {\n const regex = new RegExp('\"' + field + '\":\\\\s*(\\\\d+)');\n const match = raw.match(regex);\n return match ? parseInt(match[1]) : 0;\n };\n \n const extractObject = (field) => {\n const regex = new RegExp('\"' + field + '\":\\\\s*({[^}]+})');\n const match = raw.match(regex);\n if (!match) return {};\n try {\n return JSON.parse(match[1]);\n } catch {\n return {};\n }\n };\n \n scoring = {\n email: extract('email'),\n name: extract('name'),\n title: extract('title'),\n companyName: extract('companyName'),\n companySize: extract('companySize'),\n industry: extract('industry'),\n seniorityLevel: extractArray('seniorityLevel'),\n linkedinUrl: extract('linkedinUrl'),\n individualResearch: extract('individualResearch'),\n companyResearch: extract('companyResearch'),\n dataQualityScore: extractNumber('dataQualityScore'),\n leadScore: extractNumber('leadScore'),\n scoreBreakdown: extractObject('scoreBreakdown'),\n icpMatch: extractObject('icpMatch'),\n keyInsights: extractArray('keyInsights'),\n outreachRecommendation: extract('outreachRecommendation'),\n conversationStarters: extractArray('conversationStarters'),\n timingOpportunities: extractArray('timingOpportunities'),\n redFlags: extractArray('redFlags'),\n nextAction: extract('nextAction'),\n confidenceLevel: extract('confidenceLevel'),\n routingCategory: extract('routingCategory')\n };\n}\n\nconst finalLead = {\n email: scoring.email,\n name: scoring.name,\n title: scoring.title,\n companyName: scoring.companyName,\n companySize: scoring.companySize,\n industry: scoring.industry,\n seniorityLevel: scoring.seniorityLevel,\n linkedinUrl: scoring.linkedinUrl,\n individualResearch: scoring.individualResearch,\n companyResearch: scoring.companyResearch,\n dataQualityScore: scoring.dataQualityScore,\n leadScore: scoring.leadScore,\n scoreBreakdown: scoring.scoreBreakdown,\n scoreReasoning: scoring.leadScore + '/10 - ' + Object.entries(scoring.scoreBreakdown || {}).map(function(pair) { return pair[0] + ': ' + pair[1]; }).join(', '),\n icpMatch: scoring.icpMatch,\n companySizeMatch: scoring.icpMatch ? scoring.icpMatch.companySizeMatch : null,\n industryMatch: scoring.icpMatch ? scoring.icpMatch.industryMatch : null,\n titleMatch: scoring.icpMatch ? scoring.icpMatch.titleMatch : null,\n keyInsights: scoring.keyInsights || [],\n outreachRecommendation: scoring.outreachRecommendation,\n conversationStarters: scoring.conversationStarters || [],\n timingOpportunities: scoring.timingOpportunities || [],\n redFlags: scoring.redFlags || [],\n nextAction: scoring.nextAction,\n confidenceLevel: scoring.confidenceLevel,\n routingCategory: scoring.routingCategory,\n processedAt: new Date().toISOString()\n};\n\nreturn [{ json: finalLead }];"
},
"typeVersion": 2
},
{
"id": "7589e25e-910e-4304-8449-27ace6765c1c",
"name": "스코어별 라우팅",
"type": "n8n-nodes-base.switch",
"position": [
896,
400
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Hot Lead",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "99013e96-7d32-48fc-907d-d524c3cfb81d",
"operator": {
"type": "number",
"operation": "gte"
},
"leftValue": "={{ $json.leadScore }}",
"rightValue": 8
}
]
},
"renameOutput": true
},
{
"outputKey": "Warm Lead",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "2b850a5b-5f06-482b-925c-0dee244e61ed",
"operator": {
"type": "number",
"operation": "gte"
},
"leftValue": "={{ $json.leadScore }}",
"rightValue": 5
},
{
"id": "186f945d-b433-44e4-8954-e89781754d4e",
"operator": {
"type": "number",
"operation": "lt"
},
"leftValue": "={{ $json.leadScore }}",
"rightValue": 8
}
]
},
"renameOutput": true
},
{
"outputKey": "Cold Lead",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "d54da592-8730-409e-80e1-d4550c85ae9d",
"operator": {
"type": "number",
"operation": "lt"
},
"leftValue": "={{ $json.leadScore }}",
"rightValue": 5
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "7ed0a825-6e4c-49ef-92b7-3f1ec790beb0",
"name": "핫 리드 Slack 알림 전송",
"type": "n8n-nodes-base.slack",
"position": [
2048,
144
],
"webhookId": "a387ee5b-e454-4f69-af8a-4447539ec064",
"parameters": {
"text": "={{ $json.content.parts[0].text }}",
"select": "channel",
"channelId": {
"__rl": true,
"mode": "list",
"value": "C096FHNCPUM",
"cachedResultName": "all-connors-personal-slack"
},
"otherOptions": {},
"authentication": "oAuth2"
},
"credentials": {
"slackOAuth2Api": {
"id": "WTvc9wCjXLzxylDB",
"name": "Slack account"
}
},
"typeVersion": 2.3
},
{
"id": "261f7748-68b5-4839-9df4-128af5724b6c",
"name": "이메일 JSON 구문 분석",
"type": "n8n-nodes-base.code",
"position": [
1872,
320
],
"parameters": {
"jsCode": "const inputData = $input.first().json;\n\nconst raw = inputData.content && inputData.content.parts && inputData.content.parts[0] ? inputData.content.parts[0].text : null;\n\nif (!raw) {\n return [{json: {error: 'Could not find email content in response'}}];\n}\n\nconst cleanedRaw = raw.replace(/```json\\n?|```\\n?/g, '').trim();\nconst emailData = JSON.parse(cleanedRaw);\n\nreturn [{\n json: {\n to: emailData.email,\n subject: emailData.subject,\n body: emailData.body\n }\n}];"
},
"typeVersion": 2
},
{
"id": "7435b309-71ef-447f-b90d-0024e576a6a2",
"name": "핫 리드 이메일 전송",
"type": "n8n-nodes-base.gmail",
"position": [
2048,
320
],
"webhookId": "e733042b-2ce4-45c1-805d-e956a4593d07",
"parameters": {
"sendTo": "={{ $json.to }}",
"message": "={{ $json.body }}",
"options": {
"appendAttribution": false
},
"subject": "={{ $json.subject }}"
},
"credentials": {
"gmailOAuth2": {
"id": "0YFKsvO6JXOfT7wI",
"name": "Gmail account 2"
}
},
"typeVersion": 2.1
},
{
"id": "bf14b094-a26d-4eac-882c-f4255b4907e8",
"name": "웜 리드를 다이제스트로 전송",
"type": "n8n-nodes-base.slack",
"position": [
2048,
496
],
"webhookId": "68ba787c-94c7-4833-ba59-3d03ac6510bc",
"parameters": {
"text": "={{ $json.content.parts[0].text }}",
"select": "channel",
"channelId": {
"__rl": true,
"mode": "list",
"value": "C096FHNCPUM",
"cachedResultName": "all-connors-personal-slack"
},
"otherOptions": {},
"authentication": "oAuth2"
},
"credentials": {
"slackOAuth2Api": {
"id": "WTvc9wCjXLzxylDB",
"name": "Slack account"
}
},
"typeVersion": 2.3
},
{
"id": "305c329d-2e65-42e0-b165-e94001ae3b1b",
"name": "CRM용 형식 지정",
"type": "n8n-nodes-base.code",
"position": [
1552,
672
],
"parameters": {
"jsCode": "const lead = $json;\n\nreturn [{\n json: {\n email: lead.email,\n firstname: lead.name ? lead.name.split(' ')[0] : null,\n lastname: lead.name ? lead.name.split(' ').slice(1).join(' ') : null,\n jobtitle: lead.title,\n company: lead.companyName,\n linkedin_url: lead.linkedinUrl,\n lead_score: lead.leadScore,\n lead_score_reasoning: lead.scoreReasoning,\n routing_category: lead.routingCategory,\n icp_company_size_match: lead.companySizeMatch,\n icp_industry_match: lead.industryMatch,\n icp_title_match: lead.titleMatch,\n key_insights: lead.keyInsights ? lead.keyInsights.join(' | ') : null,\n conversation_starters: lead.conversationStarters ? lead.conversationStarters.join(' | ') : null,\n timing_opportunities: lead.timingOpportunities ? lead.timingOpportunities.join(' | ') : null,\n outreach_recommendation: lead.outreachRecommendation,\n red_flags: lead.redFlags ? lead.redFlags.join(' | ') : null,\n individual_research_summary: lead.individualResearch,\n company_research_summary: lead.companyResearch,\n data_quality_score: lead.dataQualityScore,\n enrichment_sources: lead.sourcesUsed ? lead.sourcesUsed.join(', ') : null,\n last_enrichment_date: lead.processedAt,\n lifecyclestage: lead.routingCategory === 'hot' ? 'salesqualifiedlead' : 'lead',\n hs_lead_status: lead.routingCategory === 'hot' ? 'OPEN' : 'NEW'\n }\n}];"
},
"typeVersion": 2
},
{
"id": "aca601b2-b493-4682-919a-88e0bd4f404f",
"name": "HubSpot CRM에 업서트",
"type": "n8n-nodes-base.hubspot",
"notes": "Enable after configuring HubSpot credentials",
"position": [
2048,
672
],
"parameters": {
"email": "={{ $json.email }}",
"options": {},
"additionalFields": {
"customPropertiesUi": {
"customPropertiesValues": [
{
"value": "={{ $json.firstname }}",
"property": "firstname"
},
{
"value": "={{ $json.lastname }}",
"property": "lastname"
},
{
"value": "={{ $json.jobtitle }}",
"property": "jobtitle"
},
{
"value": "={{ $json.company }}",
"property": "company"
},
{
"value": "={{ $json.lead_score }}",
"property": "lead_score"
},
{
"value": "={{ $json.lifecyclestage }}",
"property": "lifecyclestage"
}
]
}
}
},
"typeVersion": 2
},
{
"id": "c87419fe-28ab-45cf-89c3-b9f9d9de3efd",
"name": "AI 에이전트",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
384,
416
],
"parameters": {
"text": "=You are a B2B lead scoring AI with access to ICP rules stored in a Google Doc.\n\nCRITICAL FIRST STEP: Use the available Google Docs tool to fetch the ICP scoring rules document before analyzing the lead.\n\nLead Data:\n{{ JSON.stringify($json, null, 2) }}\n\nSCORING PROCESS:\n1. Fetch ICP rules from the doc\n2. Score each component (0-3 for company, 0-3 for title, 0-2 for signals, 0-2 for timing) based on the rules\n3. CRITICAL: Calculate leadScore by ADDING the four breakdown scores together\n leadScore equals companyFit plus titleFit plus buyingSignals plus timing\n4. Determine routing category based on total score:\n - 8-10 equals hot\n - 5-7 equals warm \n - 0-4 equals cold\n\nSCORING RULES:\n- Company Fit (0-3): Compare company size, industry, and geography against ICP criteria in doc\n- Title Fit (0-3): Match persona title against ICP persona tiers in doc\n- Buying Signals (0-2): Count strong/medium signals from research data\n- Timing (0-2): Assess urgency based on recent changes and signals\n\nReturn ONLY valid JSON (no markdown, no code blocks) with these fields: email, name, title, companyName, companySize, industry, seniorityLevel, linkedinUrl, individualResearch, companyResearch, dataQualityScore, leadScore (sum of breakdown scores), scoreBreakdown object with companyFit/titleFit/buyingSignals/timing, icpMatch object with companySizeMatch/industryMatch/titleMatch booleans, keyInsights array, outreachRecommendation string, conversationStarters array, timingOpportunities array, redFlags array, nextAction string, confidenceLevel string, routingCategory string based on score thresholds above.",
"options": {},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"id": "cbf742e7-a18e-47e8-85e2-6537abe0b4f9",
"name": "Anthropic 채팅 모델",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
384,
608
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-sonnet-4-20250514",
"cachedResultName": "Claude 4 Sonnet"
},
"options": {}
},
"credentials": {
"anthropicApi": {
"id": "JEgF1ooDsuHYBKx5",
"name": "Anthropic account"
}
},
"typeVersion": 1.3
},
{
"id": "9c9f0f0f-b6a3-4f72-88e5-760ab64305d3",
"name": "핫 리드 Slack 형식 지정",
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"position": [
1552,
144
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "models/gemini-2.5-flash",
"cachedResultName": "models/gemini-2.5-flash"
},
"options": {},
"messages": {
"values": [
{
"content": "=Create a concise Slack alert for a HOT LEAD that requires immediate sales attention.\n\nLead Data:\n{{ JSON.stringify($json, null, 2) }}\n\nUsing the data above, create a Slack message in mrkdwn format with this structure:\n\nHOT LEAD ALERT\n\n[name] | [title] at [companyName]\nScore: [leadScore]/10 | [confidenceLevel] confidence\n[email]\n\nKey Insights:\n- [First 3-4 items from keyInsights array as bullets]\n\nWhy This Matters:\n[Pull from timingOpportunities - 1-2 sentences on urgency]\n\nRecommended Approach:\n[outreachRecommendation - keep concise]\n\nConversation Starters:\n- [First 2 from conversationStarters array]\n\nNote: [First redFlag if exists]\n\nNext Action: [nextAction]\n\nKeep it under 300 words and extremely scannable. Use actual values from the JSON data."
}
]
}
},
"credentials": {
"googlePalmApi": {
"id": "d8ipU9ibs2OJxC51",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "4de89a82-f720-4ee6-88f5-fa35006e4f29",
"name": "핫 리드 이메일 형식 지정",
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"position": [
1552,
320
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "models/gemini-2.5-flash",
"cachedResultName": "models/gemini-2.5-flash"
},
"options": {},
"messages": {
"values": [
{
"content": "=Create a personalized welcome email for a HOT LEAD.\n\nLead Data:\n{{ JSON.stringify($json, null, 2) }}\n\nRequirements:\n- Warm, professional tone\n- Reference 1-2 relevant insights naturally\n- Clear value proposition for their role/company\n- Soft CTA (calendar link or reply)\n- 100-150 words max\n- Feel human-written, not templated\n\nReturn JSON (include the email from the input) with fields: email (extract from input data), subject (engaging subject line), body (email body with paragraph tags, not HTML angle brackets)."
}
]
}
},
"credentials": {
"googlePalmApi": {
"id": "d8ipU9ibs2OJxC51",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "e6092336-93a4-402e-b38e-2b6d2a8a5792",
"name": "웜 리드 Slack 형식 지정",
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"position": [
1552,
496
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "models/gemini-2.5-flash",
"cachedResultName": "models/gemini-2.5-flash"
},
"options": {},
"messages": {
"values": [
{
"content": "=Create a Slack digest entry for a WARM LEAD.\n\nLead Data:\n{{ JSON.stringify($json, null, 2) }}\n\nUsing the data above, create a message:\n\n[name] | [title] at [companyName]\nScore: [leadScore]/10\n\nQuick Context:\n- [2-3 items from keyInsights]\n\nNext Steps: [nextAction]\n\nKeep it under 150 words. Use actual values from the JSON."
}
]
}
},
"credentials": {
"googlePalmApi": {
"id": "d8ipU9ibs2OJxC51",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "fc94e4bf-f9ca-45f4-85e2-4d545a76b6ad",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
-976,
480
],
"webhookId": "1d670952-c57f-4985-980a-b740fc9a5f6c",
"parameters": {
"path": "lead-intake",
"options": {},
"httpMethod": "POST"
},
"typeVersion": 2.1
},
{
"id": "55e71e16-4550-47ac-b5fb-7c903903dfa8",
"name": "LinkedIn 프로필 스크레이퍼",
"type": "@apify/n8n-nodes-apify.apify",
"position": [
-368,
560
],
"parameters": {
"memory": {},
"actorId": {
"__rl": true,
"mode": "url",
"value": "https://console.apify.com/actors/LQQIXN9Othf8f7R5n/input"
},
"timeout": {},
"operation": "Run actor",
"customBody": "={ \"username\": \"{{ $json.data.profiles[0].url }}\" }",
"actorSource": "store",
"waitForFinish": 60,
"authentication": "apifyOAuth2Api"
},
"credentials": {
"apifyOAuth2Api": {
"id": "k2EtiqJb7kjmtjRn",
"name": "Apify account"
}
},
"typeVersion": 1,
"continueOnFail": true
},
{
"id": "cca5c728-3ee5-4192-91e3-33ba69630dc9",
"name": "ICP 및 사용 사례",
"type": "n8n-nodes-base.googleDocsTool",
"position": [
528,
608
],
"parameters": {
"operation": "get",
"documentURL": "https://docs.google.com/document/d/YOUR_DOCUMENT_ID/edit"
},
"credentials": {
"googleDocsOAuth2Api": {
"id": "UxwVvTjaY2WY3bMb",
"name": "Google Docs account"
}
},
"typeVersion": 2
},
{
"id": "6d3fcf37-6aa7-45c5-ae0f-49666579be13",
"name": "스티키 노트1",
"type": "n8n-nodes-base.stickyNote",
"position": [
176,
-144
],
"parameters": {
"color": 4,
"width": 704,
"height": 528,
"content": "## Enrich and score leads with AI\n\nThis workflow automates lead qualification by enriching email addresses with firmographic data from People Data Labs, researching individuals and companies using Perplexity AI, scoring leads against your ICP criteria with Claude, and routing them to appropriate channels.\n\n### What it does:\n- Hot leads (8-10 score) get instant Slack alerts with personalized email drafts\n- Warm leads (5-7) go to a digest channel\n- Cold leads (0-4) log to your CRM only\n- Processing takes 30-60 seconds per lead versus 20 minutes manual research\n- Cost per lead: $0.08-0.15\n\n### Setup required:\n1. Configure webhook path (default: lead-intake)\n2. Add credentials for: PDL, Perplexity, Claude, Slack, Gmail, Google Docs\n3. Create ICP rules Google Doc and update URL in ICP & Use Case node\n4. Optional: Add Apify and HubSpot credentials\n\n### How to use:\nSend POST to webhook with: {\"email\": \"lead@company.com\", \"name\": \"Optional Name\"}"
},
"typeVersion": 1
},
{
"id": "f951f6b2-cae8-4287-bccc-3bcb8090287e",
"name": "스티키 노트2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-656,
256
],
"parameters": {
"width": 176,
"height": 112,
"content": "**Setup Required:**\nCreate Header Auth credential with:\n- Name: X-Api-Key\n- Value: Your PDL API key\n\nAlternative: Use Apollo or Clearbit"
},
"typeVersion": 1
},
{
"id": "d3d0ab31-2b0c-40aa-8ecf-c1c3207482c8",
"name": "스티키 노트3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-432,
704
],
"parameters": {
"content": "**Optional:**\nGet API key from:\nhttps://apify.com/curious_coder/linkedin-profile-scraper\n\nAdd OAuth2 credentials"
},
"typeVersion": 1
},
{
"id": "45baaf4f-6afa-4e21-b04e-b05d091f6e7d",
"name": "스티키 노트4",
"type": "n8n-nodes-base.stickyNote",
"position": [
496,
768
],
"parameters": {
"width": 150,
"height": 144,
"content": "**Setup Required:**\nReplace documentURL with your ICP rules Google Doc URL\n\nAdd OAuth2 credentials"
},
"typeVersion": 1
},
{
"id": "684eb148-af5f-404c-9307-d8bfe705afa6",
"name": "스티키 노트5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1856,
656
],
"parameters": {
"width": 150,
"height": 196,
"content": "**Optional:**\nEnable node and add credentials for:\n- HubSpot\n- Salesforce\n- Pipedrive\n- Or custom CRM"
},
"typeVersion": 1
},
{
"id": "21a65fe2-b9ad-4b52-ac4d-590edabd0a3f",
"name": "AI 추론",
"type": "@n8n/n8n-nodes-langchain.toolThink",
"position": [
656,
608
],
"parameters": {},
"typeVersion": 1.1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "0cc18b9c-0d69-4c44-b726-b00d21fb7afd",
"connections": {
"fc94e4bf-f9ca-45f4-85e2-4d545a76b6ad": {
"main": [
[
{
"node": "b66eb945-3521-4613-948d-a75c36ad09c4",
"type": "main",
"index": 0
}
]
]
},
"c87419fe-28ab-45cf-89c3-b9f9d9de3efd": {
"main": [
[
{
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"type": "main",
"index": 0
}
]
]
},
"13770db8-7d8e-477f-ba58-6996ad31fc9a": {
"main": [
[
{
"node": "c23aed66-e846-4781-a030-6cfb42b397ef",
"type": "main",
"index": 1
},
{
"node": "0d603f14-9665-4563-aa6c-3f48f1b9d57e",
"type": "main",
"index": 0
},
{
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"type": "main",
"index": 0
},
{
"node": "55e71e16-4550-47ac-b5fb-7c903903dfa8",
"type": "main",
"index": 0
}
]
]
},
"21a65fe2-b9ad-4b52-ac4d-590edabd0a3f": {
"ai_tool": [
[
{
"node": "c87419fe-28ab-45cf-89c3-b9f9d9de3efd",
"type": "ai_tool",
"index": 0
}
]
]
},
"305c329d-2e65-42e0-b165-e94001ae3b1b": {
"main": [
[
{
"node": "aca601b2-b493-4682-919a-88e0bd4f404f",
"type": "main",
"index": 0
}
]
]
},
"cca5c728-3ee5-4192-91e3-33ba69630dc9": {
"ai_tool": [
[
{
"node": "c87419fe-28ab-45cf-89c3-b9f9d9de3efd",
"type": "ai_tool",
"index": 0
}
]
]
},
"7589e25e-910e-4304-8449-27ace6765c1c": {
"main": [
[
{
"node": "305c329d-2e65-42e0-b165-e94001ae3b1b",
"type": "main",
"index": 0
},
{
"node": "9c9f0f0f-b6a3-4f72-88e5-760ab64305d3",
"type": "main",
"index": 0
},
{
"node": "4de89a82-f720-4ee6-88f5-fa35006e4f29",
"type": "main",
"index": 0
}
],
[
{
"node": "305c329d-2e65-42e0-b165-e94001ae3b1b",
"type": "main",
"index": 0
},
{
"node": "e6092336-93a4-402e-b38e-2b6d2a8a5792",
"type": "main",
"index": 0
}
],
[
{
"node": "305c329d-2e65-42e0-b165-e94001ae3b1b",
"type": "main",
"index": 0
}
]
]
},
"e40a3d01-cf95-4a7e-818c-3df1609c2b61": {
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[
{
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"type": "main",
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}
]
]
},
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[
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"type": "main",
"index": 0
}
]
]
},
"c23aed66-e846-4781-a030-6cfb42b397ef": {
"main": [
[
{
"node": "13eb8525-4863-4b36-8291-1dc811314255",
"type": "main",
"index": 0
}
]
]
},
"0d603f14-9665-4563-aa6c-3f48f1b9d57e": {
"main": [
[
{
"node": "c23aed66-e846-4781-a030-6cfb42b397ef",
"type": "main",
"index": 0
}
]
]
},
"cbf742e7-a18e-47e8-85e2-6537abe0b4f9": {
"ai_languageModel": [
[
{
"node": "c87419fe-28ab-45cf-89c3-b9f9d9de3efd",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"4de89a82-f720-4ee6-88f5-fa35006e4f29": {
"main": [
[
{
"node": "261f7748-68b5-4839-9df4-128af5724b6c",
"type": "main",
"index": 0
}
]
]
},
"9c9f0f0f-b6a3-4f72-88e5-760ab64305d3": {
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[
{
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"type": "main",
"index": 0
}
]
]
},
"13eb8525-4863-4b36-8291-1dc811314255": {
"main": [
[
{
"node": "c87419fe-28ab-45cf-89c3-b9f9d9de3efd",
"type": "main",
"index": 0
}
]
]
},
"e6092336-93a4-402e-b38e-2b6d2a8a5792": {
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[
{
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"type": "main",
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}
]
]
},
"b66eb945-3521-4613-948d-a75c36ad09c4": {
"main": [
[
{
"node": "13770db8-7d8e-477f-ba58-6996ad31fc9a",
"type": "main",
"index": 0
},
{
"node": "c23aed66-e846-4781-a030-6cfb42b397ef",
"type": "main",
"index": 4
}
]
]
},
"55e71e16-4550-47ac-b5fb-7c903903dfa8": {
"main": [
[
{
"node": "c23aed66-e846-4781-a030-6cfb42b397ef",
"type": "main",
"index": 3
}
]
]
},
"51e743be-5ec5-4de3-9dfb-0e4ef85f511a": {
"main": [
[
{
"node": "7589e25e-910e-4304-8449-27ace6765c1c",
"type": "main",
"index": 0
}
]
]
}
}
}자주 묻는 질문
이 워크플로우를 어떻게 사용하나요?
위의 JSON 구성 코드를 복사하여 n8n 인스턴스에서 새 워크플로우를 생성하고 "JSON에서 가져오기"를 선택한 후, 구성을 붙여넣고 필요에 따라 인증 설정을 수정하세요.
이 워크플로우는 어떤 시나리오에 적합한가요?
고급
유료인가요?
이 워크플로우는 완전히 무료이며 직접 가져와 사용할 수 있습니다. 다만, 워크플로우에서 사용하는 타사 서비스(예: OpenAI API)는 사용자 직접 비용을 지불해야 할 수 있습니다.
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