27 市場クリームの分析
上級
これはMarket Research, AI Summarization分野の自動化ワークフローで、16個のノードを含みます。主にSet, Code, GoogleSheets, McpClientTool, Agentなどのノードを使用。 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
前提条件
- •Google Sheets API認証情報
- •OpenAI API Key
使用ノード (16)
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
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"name": "27 Analyze Market Gaps",
"tags": [],
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"parameters": {
"text": "=Screpe the url below and look market gaps to build a product on.\n\nURL: {{ $json.url }}",
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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"
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"type": "n8n-nodes-mcp.mcpClientTool",
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"toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', ``, 'json') }}"
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"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"
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"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"
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"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"
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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"
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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": "## 🌟 **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"
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"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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}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16
カテゴリー2
ノードタイプ10
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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