競合製品リリースモニタリング
上級
これはMarket Research, AI Summarization分野の自動化ワークフローで、18個のノードを含みます。主にSet, Code, Gmail, GoogleSheets, McpClientToolなどのノードを使用。 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
前提条件
- •Googleアカウント + Gmail API認証情報
- •Google Sheets API認証情報
- •OpenAI API Key
使用ノード (18)
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": "uYgR0foKaUfC5jnc",
"meta": {
"instanceId": "60046904b104f0f72b2629a9d88fe9f676be4035769f1f08dad1dd38a76b9480",
"templateCredsSetupCompleted": true
},
"name": "26 Monitor Competitor Product Launches",
"tags": [],
"nodes": [
{
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"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
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"parameters": {
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"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
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"credentials": {
"openAiApi": {
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"name": "OpenAi account"
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{
"id": "811e3e3e-27b0-4a2c-b1ee-423e4945b2a9",
"name": "MCP Client",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
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],
"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
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{
"id": "1caf6cda-6cdc-4a2a-88be-a19d4ee3db62",
"name": "⏰ 毎日チェック (7AM)",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
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"parameters": {
"rule": {
"interval": [
{
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}
},
"typeVersion": 1.2
},
{
"id": "8cca72fa-6a09-42b5-93a7-3a5cd166fd5c",
"name": "🛠 スクレイピング対象設定 (Verge Reviews)",
"type": "n8n-nodes-base.set",
"position": [
160,
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],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "1b2cc621-f0c5-43e1-bcd4-72850ac2bc57",
"name": "url",
"type": "string",
"value": "https://www.theverge.com/reviews"
}
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}
},
"typeVersion": 3.4
},
{
"id": "fa11746e-f206-4053-9709-863aa79f968c",
"name": "🤖 Bright Data スクレイパーエージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
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],
"parameters": {
"text": "=Use Bright Data Web Unlocker to scrape the latest product titles, release dates, and brief summaries from the following url.\n\nURL: {{ $json.url }}",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2
},
{
"id": "db8d08ef-9521-4fc1-a8c9-96a1f848e7db",
"name": "🧾 各レビューの分割・フォーマット",
"type": "n8n-nodes-base.code",
"position": [
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"parameters": {
"jsCode": "// Sample input data from previous node\nconst items = $json[\"output\"];\n\n// Emit each review as a single item\nreturn items.map(review => {\n return {\n json: {\n title: review.title,\n url: \"https://www.theverge.com\" + review.url,\n release_date: review.release_date,\n summary: review.summary\n }\n };\n});\n"
},
"typeVersion": 2
},
{
"id": "7d8d4349-8f85-42ce-9bf4-bf44da983838",
"name": "📤 R&D宛メール: 製品アラート",
"type": "n8n-nodes-base.gmail",
"position": [
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"webhookId": "f47cb615-dd7d-47f1-900e-f069ef22e344",
"parameters": {
"sendTo": "shahkar.genai@gmail.com",
"message": "=🚀 New Product Launch Spotted!\n\n📦 Product: {{ $json.title }}\n🗓 Release Date: {{ $json.release_date }}\n📝 Summary: {{ $json.summary }}\n🔗 Read Full Review → {{ $json.url }}",
"options": {},
"subject": "=🆕 New Product Review: {{ $json.title }}",
"emailType": "text"
},
"credentials": {
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{
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"name": "📊 Google シートに記録 (レビュー履歴)",
"type": "n8n-nodes-base.googleSheets",
"position": [
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"parameters": {
"columns": {
"value": {
"URL": "={{ $('🧾 Split & Format Each Review').item.json.url }}",
"TItle": "={{ $('🧾 Split & Format Each Review').item.json.title }}",
"Summary": "={{ $('🧾 Split & Format Each Review').item.json.summary }}",
"Release date": "={{ $('🧾 Split & Format Each Review').item.json.release_date }}"
},
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{
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{
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{
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"cachedResultName": "Product Launches"
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"content": "## 🔶 **SECTION 1: Schedule & Scrape Target Configuration**\n\n🧩 **Nodes:**\n\n* ⏰ `Daily Check (7AM)`\n* 🛠 `Set Scrape Target (Verge Reviews)`\n\n---\n\n### 🧠 What’s Happening:\n\nThis section controls **when** and **what** to scrape.\n\n#### ⏰ `Schedule Trigger`\n\n* Automatically runs the workflow **every morning at 7AM**.\n* No manual checking needed!\n\n#### 🛠 `Edit Fields`\n\n* Sets the target scraping page:\n `https://www.theverge.com/reviews`\n* You can easily switch this to other competitor sites (like TechCrunch or Wired) later.\n\n---\n\n### 💡 Why it matters:\n\nThis is where you **customize your intelligence source**. Just change the URL or keyword once — no coding needed.\n\n---\n\n"
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"height": 1440,
"content": "## 🤖 **SECTION 2: Agent-Powered Scraping with Bright Data**\n\n🧩 **Node:**\n\n* 🤖 `Bright Data Scraper Agent`\n 🔗 Sub-nodes:\n* 🔮 OpenAI Chat Model\n* 🧩 MCP Client (Bright Data Tool)\n* 📦 Structured Output Parser\n\n---\n\n### 🧠 What’s Happening:\n\nThis is the **heart of the automation** — using a powerful AI agent connected to Bright Data’s scraping infrastructure.\n\n#### 🤖 `AI Agent`\n\n* Uses an **OpenAI agent** that understands your instructions.\n* Connects to **Bright Data MCP** to bypass anti-bot systems and extract clean product data.\n* Scrapes:\n\n * 📦 Product Title\n * 📅 Release Date\n * 📝 Short Summary\n * 🔗 URL (relative, so we'll fix that later)\n\n#### 📦 `Structured Output Parser`\n\n* Parses the AI agent’s response into structured JSON — ready for automation.\n\n---\n\n### 💡 Why it matters:\n\nEven a beginner can now use **AI + Bright Data** to scrape dynamic sites that normally block scrapers.\n\n---\n\n"
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"parameters": {
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"height": 1460,
"content": "## 🧾 **SECTION 3: Split & Format Each Review**\n\n🧩 **Node:**\n\n* 🧾 `Split & Format Each Review`\n\n---\n\n### 🧠 What’s Happening:\n\nThis Code Node takes the array of product reviews and **splits them into one item each**.\n\n#### Code Features:\n\n* Converts relative URLs to full links (e.g., `/xyz` → `https://www.theverge.com/xyz`)\n* Outputs 10 clean JSON objects, one per review.\n\n```javascript\nreturn items.map(review => {\n return {\n json: {\n title: review.title,\n url: \"https://www.theverge.com\" + review.url,\n release_date: review.release_date,\n summary: review.summary\n }\n };\n});\n```\n\n---\n\n### 💡 Why it matters:\n\nThis lets you send **individual emails** and store **individual entries** — great for reporting, filtering, and team alerts.\n\n---\n\n"
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"content": "## ✉️📊 **SECTION 4: Notify & Log the Insights**\n\n🧩 **Nodes:**\n\n* ✉️ `Email R&D: Product Alerts`\n* 📄 `Log to Google Sheet (Review History)`\n\n---\n\n### 🧠 What’s Happening:\n\nNow that the data is cleaned and structured, we act on it:\n\n#### ✉️ Gmail Node\n\n* Sends **one beautiful email per product** to the R\\&D team.\n* Contains:\n\n * Product title\n * Release date\n * Summary\n * Link to full article\n* Uses HTML formatting for clarity.\n\n#### 📄 Google Sheets Node\n\n* Appends each product to a sheet.\n* Serves as a **history log** to:\n\n * Track past launches\n * Prevent duplicate alerts\n * Enable analysis later\n\n---\n\n### 💡 Why it matters:\n\nYour R\\&D team gets **instant alerts** about what competitors are launching — and you get a **central record** to refer to anytime.\n\n---\n\n"
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"parameters": {
"color": 7,
"width": 380,
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"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
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"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"
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"content": "# 🛠️ Monitor Competitor Product Launches (The Verge)\n\n> 🔄 Automated n8n workflow using Bright Data MCP to scrape reviews & notify R\\&D team\n\n---\n\n## 🔶 **SECTION 1: Schedule & Scrape Target Configuration**\n\n🧩 **Nodes:**\n\n* ⏰ `Daily Check (7AM)`\n* 🛠 `Set Scrape Target (Verge Reviews)`\n\n---\n\n### 🧠 What’s Happening:\n\nThis section controls **when** and **what** to scrape.\n\n#### ⏰ `Schedule Trigger`\n\n* Automatically runs the workflow **every morning at 7AM**.\n* No manual checking needed!\n\n#### 🛠 `Edit Fields`\n\n* Sets the target scraping page:\n `https://www.theverge.com/reviews`\n* You can easily switch this to other competitor sites (like TechCrunch or Wired) later.\n\n---\n\n### 💡 Why it matters:\n\nThis is where you **customize your intelligence source**. Just change the URL or keyword once — no coding needed.\n\n---\n\n## 🤖 **SECTION 2: Agent-Powered Scraping with Bright Data**\n\n🧩 **Node:**\n\n* 🤖 `Bright Data Scraper Agent`\n 🔗 Sub-nodes:\n* 🔮 OpenAI Chat Model\n* 🧩 MCP Client (Bright Data Tool)\n* 📦 Structured Output Parser\n\n---\n\n### 🧠 What’s Happening:\n\nThis is the **heart of the automation** — using a powerful AI agent connected to Bright Data’s scraping infrastructure.\n\n#### 🤖 `AI Agent`\n\n* Uses an **OpenAI agent** that understands your instructions.\n* Connects to **Bright Data MCP** to bypass anti-bot systems and extract clean product data.\n* Scrapes:\n\n * 📦 Product Title\n * 📅 Release Date\n * 📝 Short Summary\n * 🔗 URL (relative, so we'll fix that later)\n\n#### 📦 `Structured Output Parser`\n\n* Parses the AI agent’s response into structured JSON — ready for automation.\n\n---\n\n### 💡 Why it matters:\n\nEven a beginner can now use **AI + Bright Data** to scrape dynamic sites that normally block scrapers.\n\n---\n\n## 🧾 **SECTION 3: Split & Format Each Review**\n\n🧩 **Node:**\n\n* 🧾 `Split & Format Each Review`\n\n---\n\n### 🧠 What’s Happening:\n\nThis Code Node takes the array of product reviews and **splits them into one item each**.\n\n#### Code Features:\n\n* Converts relative URLs to full links (e.g., `/xyz` → `https://www.theverge.com/xyz`)\n* Outputs 10 clean JSON objects, one per review.\n\n```javascript\nreturn items.map(review => {\n return {\n json: {\n title: review.title,\n url: \"https://www.theverge.com\" + review.url,\n release_date: review.release_date,\n summary: review.summary\n }\n };\n});\n```\n\n---\n\n### 💡 Why it matters:\n\nThis lets you send **individual emails** and store **individual entries** — great for reporting, filtering, and team alerts.\n\n---\n\n## ✉️📊 **SECTION 4: Notify & Log the Insights**\n\n🧩 **Nodes:**\n\n* ✉️ `Email R&D: Product Alerts`\n* 📄 `Log to Google Sheet (Review History)`\n\n---\n\n### 🧠 What’s Happening:\n\nNow that the data is cleaned and structured, we act on it:\n\n#### ✉️ Gmail Node\n\n* Sends **one beautiful email per product** to the R\\&D team.\n* Contains:\n\n * Product title\n * Release date\n * Summary\n * Link to full article\n* Uses HTML formatting for clarity.\n\n#### 📄 Google Sheets Node\n\n* Appends each product to a sheet.\n* Serves as a **history log** to:\n\n * Track past launches\n * Prevent duplicate alerts\n * Enable analysis later\n\n---\n\n### 💡 Why it matters:\n\nYour R\\&D team gets **instant alerts** about what competitors are launching — and you get a **central record** to refer to anytime.\n\n---\n\n## 🎯 Final Thoughts\n\nEven if you’re a complete beginner:\n\n* You don’t need to write code (just paste small pieces).\n* You’re scraping dynamic sites legally & cleanly via Bright Data.\n* You’re using AI + n8n to automate competitive intelligence.\n\n---\n\n"
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"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 - 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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ワークフロー情報
難易度
上級
ノード数18
カテゴリー2
ノードタイプ11
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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