リードをAIで補完してスコアリング
上級
これは自動化ワークフローで、28個のノードを含みます。主にCode, Gmail, Merge, Slack, Switchなどのノードを使用。 Claude AI、PDL、そしてPerplexityを使ってリードを自動のに豊富にしてスコアリングする
前提条件
- •Googleアカウント + Gmail API認証情報
- •Slack Bot Token または Webhook URL
- •HubSpot API Key
- •HTTP Webhookエンドポイント（n8nが自動生成）
- •ターゲットAPIの認証情報が必要な場合あり
- •Anthropic API Key
使用ノード (28)
カテゴリー
-
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"id": "RGhbI0ICGWVFNcVv",
"meta": {
"instanceId": "42b2652ebb0a87755df4710a5630695eec8e35cb0ce04a63b0e25751b1f044f1",
"templateCredsSetupCompleted": true
},
"name": "Enrich and score leads with AI",
"tags": [],
"nodes": [
{
"id": "b66eb945-3521-4613-948d-a75c36ad09c4",
"name": "入力の検証と解析",
"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による充実化",
"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": "個人調査",
"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": "企業調査",
"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": "充実化データの統合",
"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": "全情報源の統合",
"type": "n8n-nodes-base.merge",
"position": [
32,
368
],
"parameters": {
"numberInputs": 5
},
"typeVersion": 3.2
},
{
"id": "51e743be-5ec5-4de3-9dfb-0e4ef85f511a",
"name": "出力の解析と構造化",
"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": "スコアによる振り分け",
"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": "ホットリード Slack アラート送信",
"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": "メール JSON の解析",
"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": "ホットリードメール送信",
"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": "ウォームリードをダイジェストへ送信",
"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": "CRM用にフォーマット",
"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 CRMへアップサート",
"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": "={{ $json.lifecyclestage }}",
"property": "lifecyclestage"
}
]
}
}
},
"typeVersion": 2
},
{
"id": "c87419fe-28ab-45cf-89c3-b9f9d9de3efd",
"name": "AIエージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
384,
416
],
"parameters": {
"text": "=You are a B2B lead scoring AI with access to ICP rules stored in a Google Doc.\n\nCRITICAL FIRST STEP: Use the available Google Docs tool to fetch the ICP scoring rules document before analyzing the lead.\n\nLead Data:\n{{ JSON.stringify($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 チャットモデル",
"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": "ホットリード Slack のフォーマット",
"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($json, null, 2) }}\n\nUsing the data above, create a Slack message in mrkdwn format with this structure:\n\nHOT LEAD ALERT\n\n[name] | [title] at [companyName]\nScore: [leadScore]/10 | [confidenceLevel] confidence\n[email]\n\nKey Insights:\n- [First 3-4 items from keyInsights array as bullets]\n\nWhy This Matters:\n[Pull from timingOpportunities - 1-2 sentences on urgency]\n\nRecommended Approach:\n[outreachRecommendation - keep concise]\n\nConversation Starters:\n- [First 2 from conversationStarters array]\n\nNote: [First redFlag if exists]\n\nNext Action: [nextAction]\n\nKeep it under 300 words and extremely scannable. Use actual values from the JSON data."
}
]
}
},
"credentials": {
"googlePalmApi": {
"id": "d8ipU9ibs2OJxC51",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "4de89a82-f720-4ee6-88f5-fa35006e4f29",
"name": "ホットリードメールのフォーマット",
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"position": [
1552,
320
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "models/gemini-2.5-flash",
"cachedResultName": "models/gemini-2.5-flash"
},
"options": {},
"messages": {
"values": [
{
"content": "=Create a personalized welcome email for a HOT LEAD.\n\nLead Data:\n{{ JSON.stringify($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": "ウォームリード Slack のフォーマット",
"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 プロファイルスクレイパー",
"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 & ユースケース",
"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": "付箋1",
"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": "付箋2",
"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": "付箋3",
"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": "付箋4",
"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": "付箋5",
"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推論",
"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": [
[
{
"node": "51e743be-5ec5-4de3-9dfb-0e4ef85f511a",
"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
},
{
"node": "e40a3d01-cf95-4a7e-818c-3df1609c2b61",
"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": {
"main": [
[
{
"node": "c23aed66-e846-4781-a030-6cfb42b397ef",
"type": "main",
"index": 2
}
]
]
},
"261f7748-68b5-4839-9df4-128af5724b6c": {
"main": [
[
{
"node": "7435b309-71ef-447f-b90d-0024e576a6a2",
"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": {
"main": [
[
{
"node": "7ed0a825-6e4c-49ef-92b7-3f1ec790beb0",
"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": {
"main": [
[
{
"node": "bf14b094-a26d-4eac-882c-f4255b4907e8",
"type": "main",
"index": 0
}
]
]
},
"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
}
]
]
}
}
}よくある質問
このワークフローの使い方は？
上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか？
上級
有料ですか？
このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス（OpenAI APIなど）は別途料金が発生する場合があります。
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