LinkedInの投稿の反応をAIとApifyを使用して有効なリードに変換
上級
これはLead Generation, AI Summarization分野の自動化ワークフローで、26個のノードを含みます。主にIf, Set, Code, Wait, Airtableなどのノードを使用。 AIとApifyを使用してLinkedIn投稿の相互作用を有効なリードに転換
前提条件
- •Airtable API Key
- •ターゲットAPIの認証情報が必要な場合あり
使用ノード (26)
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
{
"meta": {
"instanceId": "8d70623c0c9f4448eda9626cd8185192c28447e191325b0c0d94d3f40d23be3a"
},
"nodes": [
{
"id": "89ac2fe8-a5df-4150-b921-318e641b429c",
"name": "If3",
"type": "n8n-nodes-base.if",
"position": [
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],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "fe7ae37d-2d50-4308-b340-b3cfed20a2f0",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json && Object.keys($json).length > 0 }}",
"rightValue": ""
}
]
},
"looseTypeValidation": true
},
"typeVersion": 2.2
},
{
"id": "2cc1a9bb-8b33-4af5-83ac-5af7906f778b",
"name": "フィールド編集1",
"type": "n8n-nodes-base.set",
"position": [
1960,
440
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "a8672809-182b-4e13-96e4-7a2550c8f796",
"name": "linkedin_scraper_out",
"type": "string",
"value": "={{ $('Aggregate').item.json.fullName[0] }}\n{{ $('Aggregate').item.json.jobTitle[0] }}\n{{ $('Aggregate').item.json.companyName[0] }}\n{{ $('Aggregate').item.json.companyIndustry[0] }}\n{{ $('Aggregate').item.json.companyWebsite[0] }}\n{{ $('Aggregate').item.json.topSkillsByEndorsements[0] }}\n{{ $('Aggregate').item.json.about[0] }}\n{{ $('Aggregate').item.json.title[0] }}\n{{ $('Aggregate').item.json.description[0] }}\n{{ $('Aggregate').item.json.text[0] }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "198608d6-f63c-41d1-b612-161c208a8514",
"name": "構造化出力パーサー1",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
2340,
660
],
"parameters": {
"jsonSchemaExample": "{\n \"icp\": \"true/false\",\n \"reasoning\": \"Brief explanation of classification decision based on the data analysis\"\n}"
},
"typeVersion": 1.2
},
{
"id": "f48f1abd-b702-451f-8e75-4aabe1e3515f",
"name": "ワークフローテストクリック時",
"type": "n8n-nodes-base.manualTrigger",
"position": [
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],
"parameters": {},
"typeVersion": 1
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{
"id": "1124ab40-bbe3-4202-a16f-61228dbdb728",
"name": "集計",
"type": "n8n-nodes-base.aggregate",
"position": [
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],
"parameters": {
"options": {},
"fieldsToAggregate": {
"fieldToAggregate": [
{
"fieldToAggregate": "fullName"
},
{
"fieldToAggregate": "jobTitle"
},
{
"fieldToAggregate": "companyName"
},
{
"fieldToAggregate": "companyIndustry"
},
{
"fieldToAggregate": "companyWebsite"
},
{
"fieldToAggregate": "topSkillsByEndorsements"
},
{
"fieldToAggregate": "about"
},
{
"fieldToAggregate": "experiences[0].title"
},
{
"fieldToAggregate": "experiences[0].subComponents[0].description"
},
{
"fieldToAggregate": "experiences[1].title"
},
{
"fieldToAggregate": "experiences[1].subComponents[0].description[0].text"
}
]
}
},
"typeVersion": 1
},
{
"id": "25405123-3526-43b6-811e-afafb3796a39",
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
-160,
140
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "b7097e6a-a156-41ad-b506-ebcb78a1538c",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json && Object.keys($json).length > 0 }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "a22810dc-dee3-4e34-8f64-85e4026785fa",
"name": "操作なし（何もしない）",
"type": "n8n-nodes-base.noOp",
"position": [
0,
0
],
"parameters": {},
"typeVersion": 1
},
{
"id": "cae1c603-11e7-4c83-bac1-008690c56a09",
"name": "重複チェック",
"type": "n8n-nodes-base.airtable",
"position": [
-380,
140
],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": ""
},
"table": {
"__rl": true,
"mode": "id",
"value": ""
},
"options": {},
"operation": "search",
"authentication": "airtableOAuth2Api",
"filterByFormula": "=({Name} = \"{{ $json.profile_name }}\")"
},
"typeVersion": 2.1,
"alwaysOutputData": true
},
{
"id": "fd30b54c-a01a-4db5-8556-7ca3605b47d4",
"name": "データクレンジング",
"type": "n8n-nodes-base.set",
"position": [
-640,
140
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "28682a76-7670-4af5-a3c8-b85d485dcad8",
"name": "profile_urn",
"type": "string",
"value": "={{ $json.reactor.urn }}"
},
{
"id": "7bc40d85-d383-4b27-a89b-dc8607adc40a",
"name": "profile_name",
"type": "string",
"value": "={{ $json.reactor.name }}"
},
{
"id": "ce4d0feb-c803-4c6e-a448-b3f6921593c4",
"name": "profile_job_title",
"type": "string",
"value": "={{ $json.reactor.headline }}"
},
{
"id": "735110e2-a403-4cf3-bac2-c2fa598b7c67",
"name": "profile_linkedin_url",
"type": "string",
"value": "={{ $json.reactor.profile_url }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "de1ccf48-08d0-4058-964c-c9e940546e42",
"name": "アイテムループ処理",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-920,
120
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "c7676bae-f6c4-4746-a88f-ed877bb09d83",
"name": "レート制限待機",
"type": "n8n-nodes-base.wait",
"position": [
-1140,
120
],
"webhookId": "1a90f5d4-c201-4866-9b46-fb99e1a0a798",
"parameters": {},
"typeVersion": 1.1
},
{
"id": "ea9be84c-663a-424b-9f82-49a1c0faad63",
"name": "新規レコード作成",
"type": "n8n-nodes-base.airtable",
"position": [
240,
140
],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": ""
},
"table": {
"__rl": true,
"mode": "id",
"value": ""
},
"columns": {
"value": {
"URN": "={{ $('Clean Data').item.json.profile_urn }}",
"Name": "={{ $('Clean Data').item.json.profile_name }}",
"Title": "={{ $('Clean Data').item.json.profile_job_title }}",
"Profile URL": "={{ $('Clean Data').item.json.profile_linkedin_url }}"
},
"schema": [
{
"id": "URN",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "URN",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Name",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Email Address",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Email Address",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Title",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Profile URL",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Profile URL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "MSP?",
"type": "boolean",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "MSP?",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Reason",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Reason",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "create",
"authentication": "airtableOAuth2Api"
},
"typeVersion": 2.1
},
{
"id": "3766e2ce-7f5f-430a-ac6d-d31c1ef595db",
"name": "ランダム遅延",
"type": "n8n-nodes-base.code",
"position": [
460,
140
],
"parameters": {
"jsCode": "// Random Time Generator - Returns single random time object\n\n// Function to generate random seconds with decimal places\nfunction generateRandomSeconds(min = 0.1, max = 60, decimalPlaces = 1) {\n const randomValue = Math.random() * (max - min) + min;\n return Number(randomValue.toFixed(decimalPlaces));\n}\n\n// Generate single random time\nconst seconds = generateRandomSeconds(0.1, 60, 1);\n\n// Return array with single object (n8n requirement)\nreturn [{\n seconds: seconds,\n formatted: `${seconds} seconds`,\n milliseconds: seconds * 1000\n}];"
},
"typeVersion": 2
},
{
"id": "03fb46da-5027-4996-87d1-511b20860f34",
"name": "ランダム遅延待機",
"type": "n8n-nodes-base.wait",
"position": [
680,
140
],
"webhookId": "73d87027-2b93-4798-a496-05090671f858",
"parameters": {
"amount": "={{ $('Random Delay').item.json.seconds }}"
},
"typeVersion": 1.1
},
{
"id": "107aee62-4ced-47a6-8063-ac0f0ecc2e49",
"name": "ランダム遅延生成器",
"type": "n8n-nodes-base.code",
"position": [
1220,
440
],
"parameters": {
"jsCode": "// Random Time Generator - Returns single random time object\n\n// Function to generate random seconds with decimal places\nfunction generateRandomSeconds(min = 0.1, max = 60, decimalPlaces = 1) {\n const randomValue = Math.random() * (max - min) + min;\n return Number(randomValue.toFixed(decimalPlaces));\n}\n\n// Generate single random time\nconst seconds = generateRandomSeconds(0.1, 60, 1);\n\n// Return array with single object (n8n requirement)\nreturn [{\n seconds: seconds,\n formatted: `${seconds} seconds`,\n milliseconds: seconds * 1000\n}];\n"
},
"typeVersion": 2
},
{
"id": "139536cf-6039-48e7-a41f-21d98171bb33",
"name": "ランダム遅延待機ノード",
"type": "n8n-nodes-base.wait",
"position": [
1440,
440
],
"webhookId": "e77b3d5b-d56f-4cba-8d79-60781a0f327e",
"parameters": {
"amount": "={{ $('Random Delay Generator').item.json.seconds }}"
},
"typeVersion": 1.1
},
{
"id": "490c6df0-e206-4673-ad2a-fbb2c50bb5ae",
"name": "レコード更新",
"type": "n8n-nodes-base.airtable",
"position": [
2560,
440
],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": ""
},
"table": {
"__rl": true,
"mode": "id",
"value": ""
},
"columns": {
"value": {
"id": "={{ $('Create New Record').item.json.id }}",
"MSP?": "={{ $('AI ICP Classification').item.json.output.msp }}",
"Reason": "={{ $('AI ICP Classification').item.json.output.reasoning }}",
"Email Address": "={{$('Enrich LinkedIn Profile').first().json.email}}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "URN",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "URN",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Name",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Email Address",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Email Address",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Title",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Profile URL",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Profile URL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "MSP?",
"type": "boolean",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "MSP?",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Reason",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Reason",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update",
"authentication": "airtableOAuth2Api"
},
"typeVersion": 2.1
},
{
"id": "5d693aa7-79b0-4a19-b7b6-888710743617",
"name": "AI ICP分類",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
2180,
440
],
"parameters": {
"text": "=You are an AI classifier that determines if a person works for xxxx based on LinkedIn scraper data.\nTask: Analyze the provided LinkedIn data and classify the person as icp or non-icp.\n\nData input: {{ $('Edit Fields1').item.json.linkedin_scraper_out }}\n\nJob Indicators:\n\nJob titles containing: \n\nInstructions:\n\nIf scraper returns blank/no data → = false\nAnalyze job title, company name, company description, and industry\nLook for XXX-related keywords and services\nProvide classification with reasoning\n\nExamples:\nInput: No data returned from scraper\njson{\n \"icp\": false,\n \"reasoning\": \"No data returned from scraping\"\n}\nInput: Job Title: \"Senior Network Engineer at TechCorp MSP\"\njson{\n \"icp\": true,\n \"reasoning\": \"Job title indicates and company name explicitly mentions keywords\"\n}\nInput: Job Title: \"Marketing Manager at Nike\"\njson{\n \"icp\": false,\n \"reasoning\": \"Marketing role at retail company with no indication of managed keywords services\"\n} ",
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.6
},
{
"id": "623feb13-cc50-4d71-964c-e076af7f7987",
"name": "投稿リアクション取得",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1380,
120
],
"parameters": {
"url": "https://api.apify.com/v2/acts/apimaestro~linkedin-post-reactions/run-sync-get-dataset-items?token= ",
"method": "POST",
"options": {},
"jsonBody": "{\n \"post_url\": \"YOUR_POST_URN\",\n \"page_number\": 1\n}",
"sendBody": true,
"specifyBody": "json"
},
"typeVersion": 4.2
},
{
"id": "63f90fba-ffaa-434e-bdd0-b5368f35f0f2",
"name": "LinkedInプロファイル情報拡充",
"type": "n8n-nodes-base.httpRequest",
"position": [
780,
440
],
"parameters": {
"url": "https://api.apify.com/v2/acts/dev_fusion~linkedin-profile-scraper/run-sync-get-dataset-items?token=",
"method": "POST",
"options": {},
"jsonBody": "={\n \"profileUrls\": [\n \"{{ $('Clean Data').item.json.profile_linkedin_url }}\"\n ]\n}\n",
"sendBody": true,
"specifyBody": "json"
},
"typeVersion": 4.2,
"alwaysOutputData": true
},
{
"id": "a6c1e1e0-d708-42da-b234-a4cec31700e2",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2420,
-80
],
"parameters": {
"width": 640,
"height": 1040,
"content": "## 🎯 LinkedIn ICP Lead Qualification Automation\n\n### Automatically identify and qualify ideal customer prospects from LinkedIn post reactions using AI-powered analysis\n\nPerfect for sales teams, marketing professionals, and business development teams who want to turn LinkedIn engagement into qualified leads without manual research.\n\n### How it works\n* Scrapes LinkedIn post reactions to identify engaged users\n* Removes duplicates by checking existing records in Airtable\n* Enriches profiles with comprehensive LinkedIn data scraping\n* Uses AI to classify prospects as ICP matches with reasoning\n* Stores qualified leads with full contact and company information\n* Implements smart rate limiting to respect API constraints\n\n### How to use\n* Set up Apify API credentials for LinkedIn scraping actors\n* Configure Airtable base with prospect tracking fields\n* Add your LinkedIn post URL to start scraping reactions\n* Customize ICP criteria in the AI classification prompt\n* Run workflow to automatically qualify and store leads\n\n### Requirements\n* Apify account with API access\n* Airtable account with OAuth2 authentication\n* OpenAI or compatible AI model for classification\n* LinkedIn post URL with reactions to analyze\n\n### Good to know\n* **LinkedIn Safety**: Use only cookie-free Apify actors to prevent account detection\n* **Daily Limits**: Process maximum 1 page of reactions per day (50-100 profiles)\n* Apify actors cost ~$0.01-0.05 per profile scraped\n* Includes random delays to prevent rate limiting and account suspension\n* AI classification requires clear ICP criteria definition\n* Excessive scraping will trigger LinkedIn's anti-scraping measures and risk account suspension\n\nHappy Prospecting!"
},
"typeVersion": 1
},
{
"id": "6323c901-a4f8-4a41-b548-fe55e4576fff",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1660,
-240
],
"parameters": {
"color": 7,
"width": 400,
"height": 300,
"content": "## 1. Extract Post Reactions\n[Read more about the HTTP Request node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest/)\n\nScrapes LinkedIn post reactions using Apify's post reaction scraper to identify users who engaged with your content. This provides the initial list of prospects who have already shown interest in your topic."
},
"typeVersion": 1
},
{
"id": "005853d9-c286-47bc-ba22-4b8dd01865be",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-660,
-220
],
"parameters": {
"color": 7,
"width": 400,
"height": 300,
"content": "## 2. Clean & Deduplicate Prospects\n[Read more about the Set node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.set/)\n\nExtracts key profile information and checks against existing Airtable records to prevent duplicate processing. This saves API costs and ensures clean data management."
},
"typeVersion": 1
},
{
"id": "691b8dee-1378-4f02-82dd-0108b6bbbaad",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
620,
680
],
"parameters": {
"color": 7,
"width": 400,
"height": 300,
"content": "## 3. Enrich LinkedIn Profiles\n[Read more about the HTTP Request node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest/)\n\nUses Apify's LinkedIn profile scraper to gather comprehensive professional information including job titles, company details, skills, and experience data for accurate ICP assessment."
},
"typeVersion": 1
},
{
"id": "50fe618e-7334-4fe0-aaf7-459d705f1e99",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
2100,
60
],
"parameters": {
"color": 7,
"width": 400,
"height": 300,
"content": "## 4. AI-Powered ICP Classification\n[Read more about the LLM Chain node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm/)\n\nAnalyzes enriched profile data using AI to determine if prospects match your Ideal Customer Profile. Provides reasoning for each classification decision to help refine your targeting criteria."
},
"typeVersion": 1
},
{
"id": "7fdca041-4a8b-4e98-b8dc-fef55ea10ee8",
"name": "付箋6",
"type": "n8n-nodes-base.stickyNote",
"position": [
940,
-360
],
"parameters": {
"color": 3,
"width": 460,
"height": 420,
"content": "### ⚠️ LinkedIn Safety & Rate Limiting Warning!\nThis workflow uses paid Apify actors and requires careful usage to avoid LinkedIn account suspension.\n\n1. **CRITICAL**: Use ONLY cookie-free Apify actors to avoid LinkedIn detection\n2. **Daily Limits**: Scrape maximum 1 page of reactions per day (typically 50-100 profiles)\n3. Process full profile enrichment in small batches to stay under LinkedIn's radar\n4. Set up Apify API credentials in both HTTP Request nodes\n5. Never run multiple instances simultaneously - LinkedIn tracks usage patterns\n6. Budget approximately $0.01-0.05 per prospect analyzed for Apify costs\n7. Monitor Apify usage dashboard and LinkedIn account health regularly\n8. Modify AI prompt to suit your need"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"25405123-3526-43b6-811e-afafb3796a39": {
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}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 - リード獲得, AI要約
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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