27 시장 공백 분석
고급
이것은Market Research, AI Summarization분야의자동화 워크플로우로, 16개의 노드를 포함합니다.주로 Set, Code, GoogleSheets, McpClientTool, Agent 등의 노드를 사용하며. 사용OpenAI와Bright Data로 시장 공백에서 SaaS 제품 아이디어 생성
사전 요구사항
- •Google Sheets API 인증 정보
- •OpenAI API Key
사용된 노드 (16)
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": "vrH9xsqMNkN1dmSN",
"meta": {
"instanceId": "60046904b104f0f72b2629a9d88fe9f676be4035769f1f08dad1dd38a76b9480",
"templateCredsSetupCompleted": true
},
"name": "27 Analyze Market Gaps",
"tags": [],
"nodes": [
{
"id": "149811e9-798b-413b-a159-5e07bb541fd0",
"name": "Trigger: 주간 점검 실행",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
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"parameters": {
"rule": {
"interval": [
{
"field": "weeks",
"triggerAtDay": [
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],
"triggerAtHour": 9
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]
}
},
"typeVersion": 1.2
},
{
"id": "d175072a-abba-4e05-8262-0a7991d1fc66",
"name": "Set: 대상 주제 또는 URL",
"type": "n8n-nodes-base.set",
"position": [
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"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "f4de0d45-1ec2-4582-afa8-0f10fea9dd57",
"name": "url",
"type": "string",
"value": "https://medium.com/@moneytent/how-i-generate-100-saas-ideas-from-market-gap-to-product-market-fit-f05ee5d539ee"
}
]
}
},
"typeVersion": 3.4
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{
"id": "4a88bcd9-e0ab-4fe1-a84b-29e6276d9812",
"name": "AI Agent: 시장 공백 분석",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
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0
],
"parameters": {
"text": "=Screpe the url below and look market gaps to build a product on.\n\nURL: {{ $json.url }}",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2
},
{
"id": "589342ae-282d-47e9-9ec4-7df88812952e",
"name": "Code: 기회 분할",
"type": "n8n-nodes-base.code",
"position": [
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],
"parameters": {
"jsCode": "// Sample input data from previous node\nconst items = $json[\"output\"][\"productOpportunities\"];\n\n// Emit each opportunity as a single item\nreturn items.map(opportunity => {\n return {\n json: {\n name: opportunity.name,\n description: opportunity.description\n }\n };\n});\n"
},
"typeVersion": 2
},
{
"id": "3e349bd0-3e28-4a09-b1df-4bac44406ede",
"name": "Google Sheets: SaaS 아이디어 기록",
"type": "n8n-nodes-base.googleSheets",
"position": [
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"parameters": {
"columns": {
"value": {
"Name": "={{ $json.name }}",
"Description": "={{ $json.description }}"
},
"schema": [
{
"id": "Name",
"type": "string",
"display": true,
"required": false,
"displayName": "Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Description",
"type": "string",
"display": true,
"required": false,
"displayName": "Description",
"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/1I2tG3DCCcMyoKtMIW6ALkp9KAgyndiik0YfWRaSWb2w/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1I2tG3DCCcMyoKtMIW6ALkp9KAgyndiik0YfWRaSWb2w",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1I2tG3DCCcMyoKtMIW6ALkp9KAgyndiik0YfWRaSWb2w/edit?usp=drivesdk",
"cachedResultName": "Market Gaps"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "r2mDaisH6e9VkwHl",
"name": "Google Sheets account"
}
},
"typeVersion": 4.6
},
{
"id": "bfb80b71-c78b-46f5-a5a2-24911e747519",
"name": "LLM: 인사이트 생성기",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
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"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
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"options": {}
},
"credentials": {
"openAiApi": {
"id": "8sEyPDkC5p4w4Jha",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "630647dc-c0de-4165-a776-603de4c2aee3",
"name": "Bright Data: 스크레이퍼 에이전트",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
560,
280
],
"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": "5aac989c-f503-4e72-b2da-a3db5e9be6a0",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-20,
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],
"parameters": {
"color": 6,
"width": 360,
"height": 860,
"content": "## 🟩 **SECTION 1: Define What to Analyze**\n\n### 🔁 Nodes: `Schedule Trigger` + `Edit Fields`\n\n| 🔧 Node | Name | Purpose |\n| -------------------- | ----------------------------- | ---------------------------------------------------------------------------------------------------------------------------- |\n| ⏰ `Schedule Trigger` | **Trigger: Run Weekly Check** | Starts this automation on a schedule (e.g., every Monday at 9 AM). |\n| 📝 `Edit Fields` | **Set: Target Topic or URL** | Manually input the industry, keyword, or trend you want to explore (like *\"AI in Healthcare\"* or *\"Sustainable Packaging\"*). |\n\n### 🧠 Beginner Tip:\n\n> This section is where **you control the topic**. You don’t need to write code — just input a keyword, and the system will go fetch all the useful insights for you later.\n\n---\n\n"
},
"typeVersion": 1
},
{
"id": "8a861a96-f34b-4e40-8804-04477a94f858",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
420,
-1120
],
"parameters": {
"color": 3,
"width": 300,
"height": 1300,
"content": "## 🟦 **SECTION 2: Discover Market Gaps with AI Agent**\n\n### 🧠 Node: `AI Agent`\n\nSub-nodes: `OpenAI Chat Model`, `MCP Client (Bright Data)`, `Structured Output Parser`\n\n| 🤖 Node | Name | Purpose |\n| ----------------------------- | -------------------------------- | ---------------------------------------------------------------------------------------------------- |\n| 🧠 `AI Agent` | **AI Agent: Analyze Market Gap** | Main node that coordinates the scraping and insight generation. |\n| 🌐 `MCP Client` | **Bright Data: Scraper Agent** | Scrapes websites like Statista, Reddit, G2, etc., to find pain points, trends, and missing products. |\n| 🧠 `OpenAI Chat Model` | **LLM: Insight Generator** | Summarizes scraped data and identifies potential product opportunities using GPT. |\n| 🧾 `Structured Output Parser` | **Parser: JSON Output Builder** | Converts messy AI output into clean, structured JSON (with product names and descriptions). |\n\n### 🧠 Beginner Tip:\n\n> This is the **brain** of the workflow. It does the heavy lifting — finding real problems from real users, and then generating SaaS product ideas you can build. You don’t need to write the ideas — the AI will suggest them based on actual market gaps.\n\n---\n\n"
},
"typeVersion": 1
},
{
"id": "54b0dda6-7e85-4476-98d7-e9da30ee98b3",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"color": 5,
"width": 400,
"height": 800,
"content": "## 🟨 **SECTION 3: Break Into Pieces & Save to Google Sheets**\n\n### 🔧 Nodes: `Code` + `Google Sheets`\n\n| ⚙️ Node | Name | Purpose |\n| ------------------ | --------------------------------- | -------------------------------------------------------------------------------------------------------------- |\n| 🧩 `Code` | **Code: Split Opportunities** | Takes the structured list of SaaS ideas and splits it into individual items (so they can be saved one by one). |\n| 📄 `Google Sheets` | **Google Sheets: Log SaaS Ideas** | Automatically saves each product idea (name + description) into your connected spreadsheet. |\n\n### 🧠 Beginner Tip:\n\n> This is where all your hard work **gets stored**. Every week, your sheet grows with new SaaS ideas automatically — perfect for product research, newsletters, or startup launches.\n\n---\n\n"
},
"typeVersion": 1
},
{
"id": "8c7e64de-a10b-4b9e-b3fa-fa48201322d2",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
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"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": "40cd0845-d3a7-4d31-b812-7a3c05b023f5",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1720,
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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"
},
"typeVersion": 1
},
{
"id": "685fe958-0080-4d51-84bf-7679e6b85925",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1720,
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],
"parameters": {
"color": 4,
"width": 1289,
"height": 1798,
"content": "## 🌟 **Workflow: Market Gaps → SaaS Product Ideas → Google Sheet**\n\nThis n8n automation scrapes industry insights and converts them into real SaaS product ideas using AI — and then logs them in Google Sheets. It's fully automated, smart, and scalable.\n\n---\n\n## 🟩 **SECTION 1: Define What to Analyze**\n\n### 🔁 Nodes: `Schedule Trigger` + `Edit Fields`\n\n| 🔧 Node | Name | Purpose |\n| -------------------- | ----------------------------- | ---------------------------------------------------------------------------------------------------------------------------- |\n| ⏰ `Schedule Trigger` | **Trigger: Run Weekly Check** | Starts this automation on a schedule (e.g., every Monday at 9 AM). |\n| 📝 `Edit Fields` | **Set: Target Topic or URL** | Manually input the industry, keyword, or trend you want to explore (like *\"AI in Healthcare\"* or *\"Sustainable Packaging\"*). |\n\n### 🧠 Beginner Tip:\n\n> This section is where **you control the topic**. You don’t need to write code — just input a keyword, and the system will go fetch all the useful insights for you later.\n\n---\n\n## 🟦 **SECTION 2: Discover Market Gaps with AI Agent**\n\n### 🧠 Node: `AI Agent`\n\nSub-nodes: `OpenAI Chat Model`, `MCP Client (Bright Data)`, `Structured Output Parser`\n\n| 🤖 Node | Name | Purpose |\n| ----------------------------- | -------------------------------- | ---------------------------------------------------------------------------------------------------- |\n| 🧠 `AI Agent` | **AI Agent: Analyze Market Gap** | Main node that coordinates the scraping and insight generation. |\n| 🌐 `MCP Client` | **Bright Data: Scraper Agent** | Scrapes websites like Statista, Reddit, G2, etc., to find pain points, trends, and missing products. |\n| 🧠 `OpenAI Chat Model` | **LLM: Insight Generator** | Summarizes scraped data and identifies potential product opportunities using GPT. |\n| 🧾 `Structured Output Parser` | **Parser: JSON Output Builder** | Converts messy AI output into clean, structured JSON (with product names and descriptions). |\n\n### 🧠 Beginner Tip:\n\n> This is the **brain** of the workflow. It does the heavy lifting — finding real problems from real users, and then generating SaaS product ideas you can build. You don’t need to write the ideas — the AI will suggest them based on actual market gaps.\n\n---\n\n## 🟨 **SECTION 3: Break Into Pieces & Save to Google Sheets**\n\n### 🔧 Nodes: `Code` + `Google Sheets`\n\n| ⚙️ Node | Name | Purpose |\n| ------------------ | --------------------------------- | -------------------------------------------------------------------------------------------------------------- |\n| 🧩 `Code` | **Code: Split Opportunities** | Takes the structured list of SaaS ideas and splits it into individual items (so they can be saved one by one). |\n| 📄 `Google Sheets` | **Google Sheets: Log SaaS Ideas** | Automatically saves each product idea (name + description) into your connected spreadsheet. |\n\n### 🧠 Beginner Tip:\n\n> This is where all your hard work **gets stored**. Every week, your sheet grows with new SaaS ideas automatically — perfect for product research, newsletters, or startup launches.\n\n---\n\n## ✅ **End Result**\n\nAt the end of the workflow:\n\n* You get a list of *validated SaaS product ideas*.\n* Based on real-world gaps found in forums, review sites, and industry reports.\n* Neatly logged into Google Sheets without touching code.\n\n---\n\n### 💡 Bonus Ideas to Extend This:\n\n* 📧 **Send a weekly summary email** using the Email node.\n* 🔔 **Post ideas to Telegram or Slack** automatically.\n* 🧠 **Send ideas to Airtable or Notion** for team-wide collaboration.\n\n---\n\n"
},
"typeVersion": 1
},
{
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"type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
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"parameters": {
"options": {}
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"typeVersion": 1
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{
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"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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"parameters": {
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"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
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"credentials": {
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"id": "8sEyPDkC5p4w4Jha",
"name": "OpenAi account"
}
},
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{
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"name": "Structured Output Parser",
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"position": [
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"parameters": {
"jsonSchemaExample": "{\n \"productOpportunities\": [\n {\n \"name\": \"User Feedback Aggregation Tool\",\n \"description\": \"Aggregates reviews from multiple platforms and provides actionable insights for startups.\"\n },\n {\n \"name\": \"Community-Driven Ideation Platform\",\n \"description\": \"A space for users to submit ideas and feature requests, forming a feedback loop for product teams.\"\n },\n {\n \"name\": \"AI-Powered Market Research Tool\",\n \"description\": \"Synthesizes forum posts, reviews, and social media feedback to identify emerging SaaS opportunities.\"\n },\n {\n \"name\": \"SaaS Idea Validation Service\",\n \"description\": \"Offers surveys and expert guidance to help entrepreneurs validate SaaS concepts before development.\"\n },\n {\n \"name\": \"SaaS Development Accelerator\",\n \"description\": \"An incubator offering mentorship, tools, and funding to help build and scale multiple SaaS projects.\"\n },\n {\n \"name\": \"SaaS Maintenance and Refinement Tool\",\n \"description\": \"Continuously analyzes live user feedback to help existing SaaS products evolve and remain competitive.\"\n }\n ]\n}"
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"settings": {
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},
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}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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난이도
고급
노드 수16
카테고리2
노드 유형10
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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