경쟁사 제품 출시 모니터링
고급
이것은Market Research, AI Summarization분야의자동화 워크플로우로, 18개의 노드를 포함합니다.주로 Set, Code, Gmail, GoogleSheets, McpClientTool 등의 노드를 사용하며. Bright Data와 OpenAI를 기반으로 실시간 경쟁사 제품 출시 모니터링, 이메일/테이블로 발송
사전 요구사항
- •Google 계정 및 Gmail API 인증 정보
- •Google Sheets API 인증 정보
- •OpenAI API Key
사용된 노드 (18)
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": "uYgR0foKaUfC5jnc",
"meta": {
"instanceId": "60046904b104f0f72b2629a9d88fe9f676be4035769f1f08dad1dd38a76b9480",
"templateCredsSetupCompleted": true
},
"name": "26 Monitor Competitor Product Launches",
"tags": [],
"nodes": [
{
"id": "4a5fffa9-521c-493a-83b1-0dce9f21ad07",
"name": "OpenAI Chat Model",
"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": "811e3e3e-27b0-4a2c-b1ee-423e4945b2a9",
"name": "MCP Client",
"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": "1caf6cda-6cdc-4a2a-88be-a19d4ee3db62",
"name": "⏰ 일일 확인 (오전 7시)",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-40,
0
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 7
}
]
}
},
"typeVersion": 1.2
},
{
"id": "8cca72fa-6a09-42b5-93a7-3a5cd166fd5c",
"name": "🛠 스크레이핑 대상 설정 (Verge Reviews)",
"type": "n8n-nodes-base.set",
"position": [
160,
0
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "1b2cc621-f0c5-43e1-bcd4-72850ac2bc57",
"name": "url",
"type": "string",
"value": "https://www.theverge.com/reviews"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "fa11746e-f206-4053-9709-863aa79f968c",
"name": "🤖 Bright Data 스크레이퍼 에이전트",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
440,
0
],
"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": "🧾 각 리뷰 분할 및 포맷팅",
"type": "n8n-nodes-base.code",
"position": [
900,
0
],
"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 이메일: 제품 알림",
"type": "n8n-nodes-base.gmail",
"position": [
1200,
0
],
"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": {
"gmailOAuth2": {
"id": "AQDSl75AdzK3vmqJ",
"name": "Gmail account"
}
},
"typeVersion": 2.1
},
{
"id": "886e4fd7-d455-4ff8-a1d2-599b36b1de84",
"name": "📊 Google 시트에 기록 (리뷰 히스토리)",
"type": "n8n-nodes-base.googleSheets",
"position": [
1400,
0
],
"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 }}"
},
"schema": [
{
"id": "TItle",
"type": "string",
"display": true,
"required": false,
"displayName": "TItle",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Release date",
"type": "string",
"display": true,
"required": false,
"displayName": "Release date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Summary",
"type": "string",
"display": true,
"required": false,
"displayName": "Summary",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "URL",
"type": "string",
"display": true,
"required": false,
"displayName": "URL",
"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/1Q6QXNKq7hFBQ18oiJwbhaOGxZqI22-rlL-Wahtxprf4/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1Q6QXNKq7hFBQ18oiJwbhaOGxZqI22-rlL-Wahtxprf4",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Q6QXNKq7hFBQ18oiJwbhaOGxZqI22-rlL-Wahtxprf4/edit?usp=drivesdk",
"cachedResultName": "Product Launches"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "r2mDaisH6e9VkwHl",
"name": "Google Sheets account"
}
},
"typeVersion": 4.6
},
{
"id": "49d63a3e-ba19-4832-a3e0-804b0b7cda1f",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-80,
-1020
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"parameters": {
"color": 2,
"width": 380,
"height": 1200,
"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"
},
"typeVersion": 1
},
{
"id": "538873a8-6b8c-4d4c-8f18-76f06608766f",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
-1260
],
"parameters": {
"color": 3,
"width": 340,
"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"
},
"typeVersion": 1
},
{
"id": "4d739fed-0ccb-4d24-ab57-a15a98cbfcdc",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
820,
-1280
],
"parameters": {
"color": 6,
"width": 260,
"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"
},
"typeVersion": 1
},
{
"id": "1f97d84b-4459-4ad2-985f-41cf54736d88",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
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"parameters": {
"color": 5,
"width": 380,
"height": 1440,
"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"
},
"typeVersion": 1
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"id": "63166a87-d9a0-48bf-8e93-e36530596a68",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1620,
-1260
],
"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": "16610325-42f6-4838-83f0-82226303a119",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
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"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"
},
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"parameters": {
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"width": 1289,
"height": 3978,
"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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"jsonSchemaExample": "[\n {\n \"title\": \"The best earbuds we’ve tested for 2025\",\n \"url\": \"https://www.theverge.com/21309820/best-wireless-earbuds\",\n \"release_date\": \"2025-07-04\",\n \"summary\": \"This review highlights the best earbuds from brands like Apple, Bose, Samsung, and Sony, suited for various preferences.\"\n },\n {\n \"title\": \"The Loop Micro is my new favorite bicycle phone mount\",\n \"url\": \"https://www.theverge.com/reviews/697356/loop-micro-best-bike-mount-review\",\n \"release_date\": \"2025-07-04\",\n \"summary\": \"The Loop Micro is praised for its design and functionality, ideally suited for cyclists wanting to mount their phones securely.\"\n },\n {\n \"title\": \"The best robot vacuum and mop to buy right now\",\n \"url\": \"https://www.theverge.com/tech/625409/best-robot-vacuum-mops\",\n \"release_date\": \"2025-07-03\",\n \"summary\": \"A comparison of the top robot vacuum and mop combos available, offering insights on their cleaning capabilities.\"\n },\n {\n \"title\": \"Whoop MG review: a big whoop for a small crowd\",\n \"url\": \"https://www.theverge.com/fitness-tracker-review/696156/whoop-mg-review-wearables-fitness-tracker-health\",\n \"release_date\": \"2025-07-03\",\n \"summary\": \"The Whoop MG wearable is evaluated, targeting athletes specifically, and the review discusses its features and effectiveness.\"\n },\n {\n \"title\": \"Nothing Headphone 1 review: head-turning\",\n \"url\": \"https://www.theverge.com/headphone-review/695609/nothing-headphone-1-review\",\n \"release_date\": \"2025-07-01\",\n \"summary\": \"This review assesses the Nothing Headphone 1, exploring its design and tech, and notes its distinctive style among Bluetooth headphones.\"\n }\n]\n"
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{
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"type": "main",
"index": 0
}
]
]
},
"db8d08ef-9521-4fc1-a8c9-96a1f848e7db": {
"main": [
[
{
"node": "7d8d4349-8f85-42ce-9bf4-bf44da983838",
"type": "main",
"index": 0
}
]
]
},
"8cca72fa-6a09-42b5-93a7-3a5cd166fd5c": {
"main": [
[
{
"node": "fa11746e-f206-4053-9709-863aa79f968c",
"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 - 시장 조사, AI 요약
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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저자
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
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