スマートウェブフunnelfォーカー
中級
これはMarket Research, AI Summarization分野の自動化ワークフローで、15個のノードを含みます。主にSet, GoogleSheets, McpClientTool, Agent, ScheduleTriggerなどのノードを使用。 GPT-4o、Bright Data、Google Sheetsを使ってサイトのコンバージョンクリークルを分析
前提条件
- •Google Sheets API認証情報
- •OpenAI API Key
使用ノード (15)
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": "4A25nv05Jho7qvlD",
"meta": {
"instanceId": "60046904b104f0f72b2629a9d88fe9f676be4035769f1f08dad1dd38a76b9480",
"templateCredsSetupCompleted": true
},
"name": "12 Smart Website Funnel Analyzer",
"tags": [],
"nodes": [
{
"id": "033bde69-15e0-4518-83fb-2fa0c434e3c1",
"name": "⏰ トリガー: スケジュール実行",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-60,
0
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 9
}
]
}
},
"typeVersion": 1.2
},
{
"id": "f8f66218-4f7d-4fdf-9d43-1217923f8d69",
"name": "🛠️ ターゲットURLとコンテキストの定義",
"type": "n8n-nodes-base.set",
"position": [
160,
0
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "c0317fd3-7765-4e9d-9d10-a30184a89543",
"name": "url",
"type": "string",
"value": "https://www.shopify.com"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5aebc5c5-adf8-4bfe-9dcf-4d9dad58620d",
"name": "🤖 AIエージェント: MCPでURLをスクレイピング",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
440,
0
],
"parameters": {
"text": "=Visit the given URL and extract the following information:\n\n{{ $json.url }}\n\n1. **Page Metadata**\n - Page Title\n - Meta Description\n - Canonical URL\n\n2. **Tracking/Analytics Scripts**\n - List all script `src` that match known analytics vendors (e.g. `google-analytics.com`, `gtag`, `mixpanel`, `plausible.io`, `segment.io`, `hotjar.com`, etc.)\n\n3. **CTA Buttons and Links**\n - Extract all visible `<a>` and `<button>` elements with:\n - Inner text\n - href or onclick\n - Position in viewport (if possible)\n - Filter for CTA indicators: buttons/links with text like \"Start Free Trial\", \"Sign Up\", \"Get Started\", \"Learn More\", \"Try Now\", etc.\n\n4. **Analytics Objects**\n - Try to extract any JavaScript variables that might contain tracking data:\n - `window.dataLayer`\n - `window.analytics`\n - Any `JSON.parse(...)` content embedded in `<script>` tags\n\n5. **Page Structure Overview**\n - Count and summarize the number of:\n - Headings (`h1`, `h2`, `h3`)\n - Sections (`<section>` tags)\n - Images and media elements\n\n6. **Funnel Insight Tags (Optional for Later Use)**\n - Detect if this page likely fits a funnel stage:\n - Awareness (homepage, product overview)\n - Consideration (product detail, features)\n - Conversion (CTA, checkout, pricing)\n\nEnsure that JavaScript is rendered fully and wait for the page to become idle before extracting data. Use a mobile user-agent and viewport to simulate mobile browsing behavior accurately.\n\nReturn all data in structured JSON.\n",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2
},
{
"id": "19c9f2ea-1faf-42c5-aa6b-cc03f200d706",
"name": "🧠 LLMモデル (インストラクション・ブレイン)",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
400,
260
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "8sEyPDkC5p4w4Jha",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "4458687e-613a-4a41-823d-8f7ec7e374e8",
"name": "📡 Bright Data MCPクライアント",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
580,
260
],
"parameters": {
"toolName": "scrape_as_markdown",
"operation": "executeTool",
"toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', ``, 'json') }}"
},
"credentials": {
"mcpClientApi": {
"id": "eqq94k789oJCd6jU",
"name": "MCP Client (STDIO) account"
}
},
"typeVersion": 1
},
{
"id": "92c907a5-9ecd-4299-869e-dbcf8037fb3e",
"name": "📊 結果をGoogle Sheetsに保存",
"type": "n8n-nodes-base.googleSheets",
"position": [
980,
0
],
"parameters": {
"columns": {
"value": {
"images": "={{ $json.output.page_structure_overview.images }}",
"headings": "={{ $json.output.page_structure_overview.headings }}",
"sections": "={{ $json.output.page_structure_overview.sections }}",
"analytics": "={{ $json.output.analytics_objects.analytics }}",
"data layer": "={{ $json.output.analytics_objects.dataLayer }}",
"page title": "={{ $json.output.page_metadata.page_title }}",
"funnel stage": "={{ $json.output.funnel_stage }}",
"canonical url": "={{ $json.output.page_metadata.canonical_url }}",
"cta button links": "={{ $json.output.cta_buttons_links }}",
"meta description": "={{ $json.output.page_metadata.meta_description }}",
"json parsed content": "={{ $json.output.analytics_objects.json_parsed_content }}"
},
"schema": [
{
"id": "page title",
"type": "string",
"display": true,
"required": false,
"displayName": "page title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "meta description",
"type": "string",
"display": true,
"required": false,
"displayName": "meta description",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "canonical url",
"type": "string",
"display": true,
"required": false,
"displayName": "canonical url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cta button links",
"type": "string",
"display": true,
"required": false,
"displayName": "cta button links",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "data layer",
"type": "string",
"display": true,
"required": false,
"displayName": "data layer",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "analytics",
"type": "string",
"display": true,
"required": false,
"displayName": "analytics",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "json parsed content",
"type": "string",
"display": true,
"required": false,
"displayName": "json parsed content",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "headings",
"type": "string",
"display": true,
"required": false,
"displayName": "headings",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "sections",
"type": "string",
"display": true,
"required": false,
"displayName": "sections",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "images",
"type": "string",
"display": true,
"required": false,
"displayName": "images",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "funnel stage",
"type": "string",
"display": true,
"required": false,
"displayName": "funnel stage",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1JbTZgfXxSddks7Sx2YVW_uf-CDC6vBQ9s0nidzzxEKs/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1JbTZgfXxSddks7Sx2YVW_uf-CDC6vBQ9s0nidzzxEKs",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1JbTZgfXxSddks7Sx2YVW_uf-CDC6vBQ9s0nidzzxEKs/edit?usp=drivesdk",
"cachedResultName": "Website analytics"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "r2mDaisH6e9VkwHl",
"name": "Google Sheets account"
}
},
"typeVersion": 4.6
},
{
"id": "72c17e6e-c2f0-447e-b15c-3d974c75af85",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
-80,
-900
],
"parameters": {
"color": 6,
"width": 380,
"height": 1080,
"content": "## 🔶 **SECTION 1: Start & Define Target**\n\n### 🔹 Nodes:\n\n* `⏰ Trigger: Run on Schedule`\n* `🛠️ Define Target URL & Context`\n\n---\n\n### 🧩 What This Section Does:\n\n1. **⏰ Trigger: Run on Schedule**\n\n * This node automatically **starts the workflow at scheduled intervals** (e.g., hourly, daily).\n * You don’t need to press a button every time. Just set it once, and it runs like a robot clock.\n\n2. **🛠️ Define Target URL & Context**\n\n * Here, you **input the Shopify URL** you want to scrape.\n * You can also define **tags** like `page_type: homepage`, `funnel_stage: awareness`, etc., to help analyze which stage of the sales funnel each page belongs to.\n\n---\n\n### 💡 Beginner Benefit:\n\n> This section allows you to automate the scraping of a specific page (like the Shopify homepage) and clearly tag what you're trying to analyze — all **without coding**!\n\n---\n\n"
},
"typeVersion": 1
},
{
"id": "307d8a0d-260d-433d-ae61-097992f35efe",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
-1340
],
"parameters": {
"color": 5,
"width": 340,
"height": 1520,
"content": "## 🤖 **SECTION 2: AI-Powered Scraping via Bright Data MCP**\n\n### 🔹 Nodes:\n\n* `🤖 AI Agent: Scrape Shopify with MCP`\n\n * 🧠 `LLM Model (Instruction Brain)`\n * 📡 `Bright Data MCP Client`\n * 🧾 `Output Parser: Clean Extracted Data`\n\n---\n\n### 🧩 What This Section Does:\n\n1. **🤖 AI Agent: Scrape Shopify with MCP**\n\n * This is the **smart engine** that handles all scraping tasks.\n\n2. **🧠 LLM Model (Instruction Brain)**\n\n * It tells the AI agent **what to look for**, like:\n\n * Page title, CTAs, Google Analytics scripts, section counts, etc.\n * Think of it as the “brain” of the operation.\n\n3. **📡 Bright Data MCP Client**\n\n * This node actually **loads the website like a real phone user** (mobile browser), thanks to **Bright Data's Mobile Carrier Proxy**.\n * It **bypasses blocks**, loads dynamic content, and mimics real behavior.\n\n4. **🧾 Output Parser: Clean Extracted Data**\n\n * After scraping, this node **cleans and formats the results** into a neat JSON structure.\n * It ensures that things like headings, links, CTA buttons, and analytics scripts are easy to read and store.\n\n---\n\n### 💡 Beginner Benefit:\n\n> You don't have to know how scraping or proxies work. This AI Agent + Bright Data combo does the heavy lifting: it visits the page, reads everything like a human user, and extracts key insights in a structured format. 💪\n\n---\n\n"
},
"typeVersion": 1
},
{
"id": "b4af3b43-0daf-40be-96ab-c8f706414e14",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
880,
-600
],
"parameters": {
"color": 3,
"width": 300,
"height": 780,
"content": "## ✅ **SECTION 3: Save Insights for Reporting**\n\n### 🔹 Node:\n\n* `📊 Save Results to Google Sheets`\n\n---\n\n### 🧩 What This Section Does:\n\n* This node **automatically logs all the structured results** (like title, CTAs, funnel stage, analytics scripts, etc.) into a connected Google Sheet.\n* Over time, this sheet becomes a **powerful conversion funnel tracker**, helping you identify:\n\n * Drop-off points\n * CTA effectiveness\n * Page structure evolution\n\n---\n\n"
},
"typeVersion": 1
},
{
"id": "a38a2cb0-f8e3-4892-abae-0b1f0695b328",
"name": "付箋9",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2080,
-900
],
"parameters": {
"color": 4,
"width": 1300,
"height": 320,
"content": "=======================================\n WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n - YouTube: https://www.youtube.com/@YaronBeen/videos\n - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n"
},
"typeVersion": 1
},
{
"id": "86a27ad9-d138-489c-a7de-176bd117536e",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2080,
-560
],
"parameters": {
"color": 4,
"width": 1289,
"height": 2778,
"content": "# 📊 **Workflow Title:**\n\n**Smart Website Funnel Analyzer: Scrape Shopify with Bright Data and Log Insights to Google Sheets**\n\n---\n\n## 🔶 **SECTION 1: Start & Define Target**\n\n### 🔹 Nodes:\n\n* `⏰ Trigger: Run on Schedule`\n* `🛠️ Define Target URL & Context`\n\n---\n\n### 🧩 What This Section Does:\n\n1. **⏰ Trigger: Run on Schedule**\n\n * This node automatically **starts the workflow at scheduled intervals** (e.g., hourly, daily).\n * You don’t need to press a button every time. Just set it once, and it runs like a robot clock.\n\n2. **🛠️ Define Target URL & Context**\n\n * Here, you **input the Shopify URL** you want to scrape.\n * You can also define **tags** like `page_type: homepage`, `funnel_stage: awareness`, etc., to help analyze which stage of the sales funnel each page belongs to.\n\n---\n\n### 💡 Beginner Benefit:\n\n> This section allows you to automate the scraping of a specific page (like the Shopify homepage) and clearly tag what you're trying to analyze — all **without coding**!\n\n---\n\n## 🤖 **SECTION 2: AI-Powered Scraping via Bright Data MCP**\n\n### 🔹 Nodes:\n\n* `🤖 AI Agent: Scrape Shopify with MCP`\n\n * 🧠 `LLM Model (Instruction Brain)`\n * 📡 `Bright Data MCP Client`\n * 🧾 `Output Parser: Clean Extracted Data`\n\n---\n\n### 🧩 What This Section Does:\n\n1. **🤖 AI Agent: Scrape Shopify with MCP**\n\n * This is the **smart engine** that handles all scraping tasks.\n\n2. **🧠 LLM Model (Instruction Brain)**\n\n * It tells the AI agent **what to look for**, like:\n\n * Page title, CTAs, Google Analytics scripts, section counts, etc.\n * Think of it as the “brain” of the operation.\n\n3. **📡 Bright Data MCP Client**\n\n * This node actually **loads the website like a real phone user** (mobile browser), thanks to **Bright Data's Mobile Carrier Proxy**.\n * It **bypasses blocks**, loads dynamic content, and mimics real behavior.\n\n4. **🧾 Output Parser: Clean Extracted Data**\n\n * After scraping, this node **cleans and formats the results** into a neat JSON structure.\n * It ensures that things like headings, links, CTA buttons, and analytics scripts are easy to read and store.\n\n---\n\n### 💡 Beginner Benefit:\n\n> You don't have to know how scraping or proxies work. This AI Agent + Bright Data combo does the heavy lifting: it visits the page, reads everything like a human user, and extracts key insights in a structured format. 💪\n\n---\n\n## ✅ **SECTION 3: Save Insights for Reporting**\n\n### 🔹 Node:\n\n* `📊 Save Results to Google Sheets`\n\n---\n\n### 🧩 What This Section Does:\n\n* This node **automatically logs all the structured results** (like title, CTAs, funnel stage, analytics scripts, etc.) into a connected Google Sheet.\n* Over time, this sheet becomes a **powerful conversion funnel tracker**, helping you identify:\n\n * Drop-off points\n * CTA effectiveness\n * Page structure evolution\n\n---\n\n### 💡 Beginner Benefit:\n\n> No coding. No manual copy-paste. The moment a page is analyzed, the key insights are saved into your Google Sheet — ready for reporting or optimization.\n\n---\n\n## 🎁 **Final Thoughts: Why This Workflow Is Powerful**\n\n* 📱 Uses mobile proxy scraping (MCP) for full access to dynamic web pages\n* 🤖 AI handles complex instructions and parsing\n* 📊 Google Sheets gives you instant reporting and tracking\n\n---\n\n"
},
"typeVersion": 1
},
{
"id": "0218af59-c980-495f-9546-5992ce8f399b",
"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1280,
-600
],
"parameters": {
"color": 7,
"width": 380,
"height": 240,
"content": "## I’ll receive a tiny commission if you join Bright Data through this link—thanks for fueling more free content!\n\n### https://get.brightdata.com/1tndi4600b25"
},
"typeVersion": 1
},
{
"id": "7c9b3666-f32f-49ab-be38-36b3f31a8ca0",
"name": "自動修正アウトプットパーサー",
"type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
"position": [
720,
260
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "dae3494e-25b5-4394-a9ac-d4bfcf0621a2",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
680,
520
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "8sEyPDkC5p4w4Jha",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "1ab9f312-a515-4b02-9e7f-f49e0f4c6515",
"name": "構造化アウトプットパーサー",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
860,
520
],
"parameters": {
"jsonSchemaExample": "{\n \"page_metadata\": {\n \"page_title\": \"Shopify – Start your free trial today\",\n \"meta_description\": \"Start selling online today with Shopify. The easiest way to start an online store.\",\n \"canonical_url\": \"https://www.shopify.com\"\n },\n \"tracking_analytics_scripts\": [\n \"https://www.googletagmanager.com/\",\n \"https://www.google-analytics.com/\"\n ],\n \"cta_buttons_links\": [\n {\n \"inner_text\": \"Start for free\",\n \"href\": \"https://accounts.shopify.com/store-create?locale=en&language=en&signup%5Fpage=https%3A%2F%2Fwww.shopify.com%2F&signup%5Ftypes%5B%5D=paid%5Ftrial%5Fexperience\",\n \"position_in_viewport\": null\n },\n {\n \"inner_text\": \"Start for free\",\n \"href\": \"https://accounts.shopify.com/store-create?locale=en&language=en&signup%5Fpage=https%3A%2F%2Fwww.shopify.com%2F&signup%5Ftypes%5B%5D=paid%5Ftrial%5Fexperience\",\n \"position_in_viewport\": null\n },\n {\n \"inner_text\": \"Get started\",\n \"href\": \"/online\",\n \"position_in_viewport\": null\n }\n ],\n \"analytics_objects\": {\n \"dataLayer\": null,\n \"analytics\": null,\n \"json_parsed_content\": null\n },\n \"page_structure_overview\": {\n \"headings\": {\n \"h1\": 1,\n \"h2\": 10,\n \"h3\": 4\n },\n \"sections\": 15,\n \"images\": 20\n },\n \"funnel_stage\": \"Awareness\"\n}\n"
},
"typeVersion": 1.2
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "fd1b5014-94c4-4a9f-848b-d42272c68d4a",
"connections": {
"dae3494e-25b5-4394-a9ac-d4bfcf0621a2": {
"ai_languageModel": [
[
{
"node": "7c9b3666-f32f-49ab-be38-36b3f31a8ca0",
"type": "ai_languageModel",
"index": 0
}
]
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},
"1ab9f312-a515-4b02-9e7f-f49e0f4c6515": {
"ai_outputParser": [
[
{
"node": "7c9b3666-f32f-49ab-be38-36b3f31a8ca0",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"7c9b3666-f32f-49ab-be38-36b3f31a8ca0": {
"ai_outputParser": [
[
{
"node": "5aebc5c5-adf8-4bfe-9dcf-4d9dad58620d",
"type": "ai_outputParser",
"index": 0
}
]
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},
"4458687e-613a-4a41-823d-8f7ec7e374e8": {
"ai_tool": [
[
{
"node": "5aebc5c5-adf8-4bfe-9dcf-4d9dad58620d",
"type": "ai_tool",
"index": 0
}
]
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"033bde69-15e0-4518-83fb-2fa0c434e3c1": {
"main": [
[
{
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"type": "main",
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]
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},
"5aebc5c5-adf8-4bfe-9dcf-4d9dad58620d": {
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"type": "main",
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"19c9f2ea-1faf-42c5-aa6b-cc03f200d706": {
"ai_languageModel": [
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"f8f66218-4f7d-4fdf-9d43-1217923f8d69": {
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"type": "main",
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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?
中級 - 市場調査, 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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Google Sheets
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Set
Google Sheets
18 ノードYaron Been
市場調査
16 競合企業価格を監視
Bright Data MCP と Google Sheets に基づく自動化された競合他社の価格設定モニタリング
Set
Code
Gmail
+
Set
Code
Gmail
18 ノードYaron Been
市場調査
27 市場クリームの分析
市場のニッチから SaaS 製品のアイデアを生成するには、OpenAI と Bright Data を使用します
Set
Code
Google Sheets
+
Set
Code
Google Sheets
16 ノードYaron Been
市場調査
競合製品リリースモニタリング
Bright DataとOpenAIに基づく即時のな競合製品リリース監視、メール/テーブルへの送信
Set
Code
Gmail
+
Set
Code
Gmail
18 ノードYaron Been
市場調査
23 顧客生涯価値(CLV)を分析する
Bright Data MCPを使ってGPT-4で高値顧客を分析し、特定する
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Code
+
If
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Code
20 ノードYaron Been
市場調査
ローカルイベントの監視
Bright Data MCPとOpenAI分析によるローカルイベントの自動監視
Set
Code
Google Sheets
+
Set
Code
Google Sheets
18 ノードYaron Been
市場調査
ワークフロー情報
難易度
中級
ノード数15
カテゴリー2
ノードタイプ9
作成者
Yaron Been
@yaron-nofluffBuilding AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host If you need any help with Automations, feel free to reach out via linkedin: https://www.linkedin.com/in/yaronbeen/ And check out my Youtube channel: https://www.youtube.com/@YaronBeen/videos
外部リンク
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