顧客サポートフォーラムを監視
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, Gmail, McpClientTool, ManualTrigger, Agentなどのノードを使用。 サポートフォーラムから顧客の課題をBright DataとGPT-4で抽出する
前提条件
- •Googleアカウント + Gmail 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": "PYTm8uU9m0FN8tG9",
"meta": {
"instanceId": "c38e3b8a7e4240e6cdca062743f016c1029f385bf40345b6291939dfd83bfd77",
"templateCredsSetupCompleted": true
},
"name": "9 Monitor Customer Support Forums",
"tags": [],
"nodes": [
{
"id": "4830a8a6-6e76-47e0-abdc-7c72ebfda985",
"name": "🚦 ワークフロー開始 (手動トリガー)",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-440,
-80
],
"parameters": {},
"typeVersion": 1
},
{
"id": "8d2279c3-8d49-4dc1-87df-47e3e077b2d5",
"name": "🔗 フォーラムURL入力",
"type": "n8n-nodes-base.set",
"position": [
-240,
-80
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "e53f8457-1c2c-41ff-8621-4f7ebee981a8",
"name": "URL",
"type": "string",
"value": "https://api.stackexchange.com/2.3/search?order=desc&sort=activity&intitle=openai&site=superuser"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "8f3b47c7-1a6e-4084-91ce-f805b75146d2",
"name": "🧠 チャットモデル推論1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
0,
200
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "kmqnyfHdWfA8k1KC",
"name": "OpenAi account 3"
}
},
"typeVersion": 1.2
},
{
"id": "a98d95c6-67f7-49b3-8a25-45a08576ee5e",
"name": "🤖 エージェント: フォーラムスクレイピング&インサイト抽出",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
60,
-80
],
"parameters": {
"text": "=scrape the question and answers forum about openAi from this below URL:\n{{ $json.URL }}\nand i want to include in my output are platform name , author name , question , answer_snippet , link , pain point\ncheck if any question have no answer than dont scrape it search for those which have question , its answer_snippet and also customer pain point\n",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2
},
{
"id": "a3ea338d-cf2b-4399-92f6-5865a9a725c7",
"name": "🌐 Webスクレイパーツール",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
160,
200
],
"parameters": {
"toolName": "scrape_as_markdown",
"operation": "executeTool",
"toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', ``, 'json') }}"
},
"credentials": {
"mcpClientApi": {
"id": "dGu6Ys11ijXSTxcV",
"name": "MCP Client (STDIO) account"
}
},
"typeVersion": 1
},
{
"id": "8bf7a8cd-ae02-4aa6-a7bf-e8aee16ce3ea",
"name": "✉️ 製品チームへのインサイト送信 (Gmail)",
"type": "n8n-nodes-base.gmail",
"position": [
580,
-80
],
"webhookId": "6531f16e-ae66-4e1f-bc87-fd87863c6f96",
"parameters": {
"sendTo": "shahkar.genai@gmail.com",
"message": "=Hello Product Team,\n\nHere are recent customer pain points and technical discussions about OpenAI from the SuperUser forum:\n\nQuestion: {{$json[\"output\"][0][\"question\"]}}\nAsked by: {{$json[\"output\"][0][\"author_name\"]}}\nLink: {{$json[\"output\"][0][\"link\"]}}{{$json[\"output\"][0] [\"link\"]}}\nAnswer Snippet: {{$json[\"output\"][0][\"answer_snippet\"]}}\nPain Point: {{$json[\"output\"][0][\"pain_point\"]}}\n \nQuestion: {{$json[\"output\"][1][\"question\"]}}\nAsked by: {{$json[\"output\"][1][\"author_name\"]}}\nLink: {{$json[\"output\"][1][\"link\"]}}{{$json[\"output\"][1] [\"link\"]}}\nAnswer Snippet: {{$json[\"output\"][1][\"answer_snippet\"]}}\nPain Point: {{$json[\"output\"][1][\"pain_point\"]}}\n\nBest regards,\nYour Automation Workflow\n",
"options": {
"appendAttribution": false
},
"subject": "=Customer Forum Insights: OpenAI Pain Points from {{ $json.output[0].platform_name }}",
"emailType": "text"
},
"credentials": {
"gmailOAuth2": {
"id": "fZQRQuE7FmCr9daN",
"name": "Gmail account 2"
}
},
"typeVersion": 2.1
},
{
"id": "265273a0-7996-43c2-a6e0-4515cef83b08",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
-500,
-580
],
"parameters": {
"color": 5,
"width": 420,
"height": 720,
"content": "## 1️⃣ **Section 1: Start & Input**\n\n* **🚦 Start Workflow (Manual Trigger)**\n\n * *Node: When clicking ‘Execute workflow’*\n * **What happens:**\n You begin the automation by clicking the \"Execute workflow\" button in n8n. This makes the process fully manual and secure—you decide when to run it.\n\n* **🔗 Enter Forum URL**\n\n * *Node: Edit Fields (manual)*\n * **What happens:**\n You paste the URL of the specific Superuser Q\\&A forum post you want to analyze. No coding or technical setup—just copy and paste!\n\n**🟢 Why this is great for beginners:**\nYou only need to provide the link and click a button. No scripts, no complex setup.\n"
},
"typeVersion": 1
},
{
"id": "dcabff56-7666-4e76-9032-43893588bfd6",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
480,
-520
],
"parameters": {
"color": 6,
"width": 340,
"height": 680,
"content": "## 3️⃣ **Section 3: Share Insights with Your Team**\n\n* **✉️ Send Insights to Product Team**\n\n * *Node: Gmail (send: message)*\n * **What happens:**\n The final, cleaned, and structured insights are sent as an email to your Product Team. This means the right people get the right information at the right time—automatically.\n\n**🟢 Why this is great for beginners:**\nNo more compiling or sending emails yourself! The system takes care of communicating findings—saving time and ensuring nothing is forgotten.\n\n"
},
"typeVersion": 1
},
{
"id": "beb64fb0-4b77-490d-8386-8048ba951617",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-20,
-940
],
"parameters": {
"color": 2,
"width": 460,
"height": 1080,
"content": "## 2️⃣ **Section 2: AI Agent Scrapes & Analyzes**\n\n* **🤖 Agent: Extract Forum Insights**\n\n * *Node: AI Agent*\n\n This is where all the magic happens! The AI agent coordinates a team of tools to read the forum post, pick out the most important details, and structure everything perfectly.\n\n **Sub-nodes powering the agent:**\n\n * **🧠 Chat Model Reasoning**\n *Node: OpenAI Chat Model*\n — Understands what you want and plans the scraping/analysis logic.\n * **🌐 Web Scraper Tool (scrape\\_as\\_markdown)**\n *Node: MCP Client (executeTool)*\n — Securely visits the forum page and fetches the Q\\&A content in a readable format.\n * **📦 Format Forum Data as JSON**\n *Node: Structured Output Parser*\n — Transforms messy forum data into a well-structured JSON object including:\n\n * Platform name\n * Author name\n * Question\n * Answer snippet\n * Link\n * **Identified customer pain points!**\n\n**🟢 Why this is great for beginners:**\nYou don’t have to read, sort, or copy any forum data. The agent does everything: reading, understanding, summarizing, and structuring—just like a human analyst, but automated!\n\n"
},
"typeVersion": 1
},
{
"id": "02f867d6-a2d3-4d1c-868a-674475bac53a",
"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
"position": [
860,
-520
],
"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": "3ef9e897-85d0-436a-b2c4-e9e3734a5d6b",
"name": "付箋9",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2580,
-1320
],
"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": "9b4535e8-e49b-4af2-8e18-bfbdec7db961",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2580,
-980
],
"parameters": {
"color": 4,
"width": 1300,
"height": 1880,
"content": "# 🚀 Monitor Customer Support Forums\n\n### Instantly turn forum questions about OpenAI into actionable product insights—delivered right to your Product Team’s inbox!\n\n---\n\n## 1️⃣ **Section 1: Start & Input**\n\n* **🚦 Start Workflow (Manual Trigger)**\n\n * *Node: When clicking ‘Execute workflow’*\n * **What happens:**\n You begin the automation by clicking the \"Execute workflow\" button in n8n. This makes the process fully manual and secure—you decide when to run it.\n\n* **🔗 Enter Forum URL**\n\n * *Node: Edit Fields (manual)*\n * **What happens:**\n You paste the URL of the specific Superuser Q\\&A forum post you want to analyze. No coding or technical setup—just copy and paste!\n\n**🟢 Why this is great for beginners:**\nYou only need to provide the link and click a button. No scripts, no complex setup.\n\n---\n\n## 2️⃣ **Section 2: AI Agent Scrapes & Analyzes**\n\n* **🤖 Agent: Extract Forum Insights**\n\n * *Node: AI Agent*\n\n This is where all the magic happens! The AI agent coordinates a team of tools to read the forum post, pick out the most important details, and structure everything perfectly.\n\n **Sub-nodes powering the agent:**\n\n * **🧠 Chat Model Reasoning**\n *Node: OpenAI Chat Model*\n — Understands what you want and plans the scraping/analysis logic.\n * **🌐 Web Scraper Tool (scrape\\_as\\_markdown)**\n *Node: MCP Client (executeTool)*\n — Securely visits the forum page and fetches the Q\\&A content in a readable format.\n * **📦 Format Forum Data as JSON**\n *Node: Structured Output Parser*\n — Transforms messy forum data into a well-structured JSON object including:\n\n * Platform name\n * Author name\n * Question\n * Answer snippet\n * Link\n * **Identified customer pain points!**\n\n**🟢 Why this is great for beginners:**\nYou don’t have to read, sort, or copy any forum data. The agent does everything: reading, understanding, summarizing, and structuring—just like a human analyst, but automated!\n\n---\n\n## 3️⃣ **Section 3: Share Insights with Your Team**\n\n* **✉️ Send Insights to Product Team**\n\n * *Node: Gmail (send: message)*\n * **What happens:**\n The final, cleaned, and structured insights are sent as an email to your Product Team. This means the right people get the right information at the right time—automatically.\n\n**🟢 Why this is great for beginners:**\nNo more compiling or sending emails yourself! The system takes care of communicating findings—saving time and ensuring nothing is forgotten.\n\n---\n\n## 🌟 **How Beginners Can Use This Workflow**\n\n| Step | What to Do | What Happens |\n| ------------------- | ---------------------------------------------- | ---------------------------------------------------------- |\n| 🚦 Start | Click **Execute workflow** in n8n | The automation begins |\n| 🔗 Input URL | Paste a Superuser Q\\&A forum link about OpenAI | The workflow targets this exact forum question |\n| 🤖 AI Agent Scrapes | (You wait for a moment) | The AI extracts question, answer, author, pain points… |\n| ✉️ Receive Insights | (No action needed) | An email with all structured insights is sent to your team |\n\n---\n\n## 💡 **Benefits**\n\n* 🕐 **Save Hours:** No manual copying or summarizing forum content\n* 📊 **Actionable Insights:** Quickly see customer pain points for product improvement\n* 📧 **Automated Communication:** Ensure your team never misses key feedback\n* 🧑💻 **Zero Coding:** Designed for anyone—no technical experience needed\n\n\n"
},
"typeVersion": 1
},
{
"id": "ac6abf38-249b-4e83-9f49-f9545e75b65b",
"name": "自動修正出力パーサー",
"type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
"position": [
300,
200
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "3914b950-6f76-4304-9db3-29504051ab2d",
"name": "OpenAI チャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
300,
400
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "kmqnyfHdWfA8k1KC",
"name": "OpenAi account 3"
}
},
"typeVersion": 1.2
},
{
"id": "d050c092-20c5-469f-8922-db7e880ffed2",
"name": "📦 フォーラムデータをJSONとしてフォーマット1",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
460,
400
],
"parameters": {
"jsonSchemaExample": "{\n \"platform\": \"SuperUser\",\n \"questions\": [\n {\n \"author\": \"Tolure\",\n \"question\": \"How to use Azure OpenAI as a pseudo DB\",\n \"answer_snippet\": \"(Answer is available but not fully provided in the current data; question is marked as answered)\",\n \"link\": \"https://superuser.com/questions/1824019/how-to-use-azure-openai-as-a-pseudo-db\",\n \"pain_point\": \"Difficulty in using Azure OpenAI for database-like functionality\"\n },\n {\n \"author\": \"Point Clear Media\",\n \"question\": \"How do I use FFmpeg and OpenAI Whisper to transcribe a RTMP stream?\",\n \"answer_snippet\": \"(Answer is available but not fully provided in the current data)\",\n \"link\": \"https://superuser.com/questions/1778870/how-do-i-use-ffmpeg-and-openai-whisper-to-transcribe-a-rtmp-stream\",\n \"pain_point\": \"Challenges in setting up transcription using FFmpeg and OpenAI Whisper for streaming media\"\n }\n ]\n}\n"
},
"typeVersion": 1.3
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "2e8bc642-072c-490f-9f24-8b9e60f6a33e",
"connections": {
"3914b950-6f76-4304-9db3-29504051ab2d": {
"ai_languageModel": [
[
{
"node": "ac6abf38-249b-4e83-9f49-f9545e75b65b",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"8d2279c3-8d49-4dc1-87df-47e3e077b2d5": {
"main": [
[
{
"node": "a98d95c6-67f7-49b3-8a25-45a08576ee5e",
"type": "main",
"index": 0
}
]
]
},
"a3ea338d-cf2b-4399-92f6-5865a9a725c7": {
"ai_tool": [
[
{
"node": "a98d95c6-67f7-49b3-8a25-45a08576ee5e",
"type": "ai_tool",
"index": 0
}
]
]
},
"ac6abf38-249b-4e83-9f49-f9545e75b65b": {
"ai_outputParser": [
[
{
"node": "a98d95c6-67f7-49b3-8a25-45a08576ee5e",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"8f3b47c7-1a6e-4084-91ce-f805b75146d2": {
"ai_languageModel": [
[
{
"node": "a98d95c6-67f7-49b3-8a25-45a08576ee5e",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"d050c092-20c5-469f-8922-db7e880ffed2": {
"ai_outputParser": [
[
{
"node": "ac6abf38-249b-4e83-9f49-f9545e75b65b",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"4830a8a6-6e76-47e0-abdc-7c72ebfda985": {
"main": [
[
{
"node": "8d2279c3-8d49-4dc1-87df-47e3e077b2d5",
"type": "main",
"index": 0
}
]
]
},
"a98d95c6-67f7-49b3-8a25-45a08576ee5e": {
"main": [
[
{
"node": "8bf7a8cd-ae02-4aa6-a7bf-e8aee16ce3ea",
"type": "main",
"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?
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。
関連ワークフロー
14 競合他社コンテンツのパフォーマンスを分析する
Bright Data MCPとGPT-4oを使用して競合企業のコンテンツパフォーマンスを分析
Set
Gmail
Mcp Client Tool
+
Set
Gmail
Mcp Client Tool
15 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
If
Set
Code
+
If
Set
Code
20 ノードYaron Been
市場調査
25 機能リクエストを収集
コメントから Jira への機能リクエストの自動収集と分析を AI で行う
Set
Code
Jira
+
Set
Code
Jira
16 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
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
競合他社のリバースリンク分析
Bright Data MCPとGPTを使用して競合他社のリバースリンクデータを抽出および分析
Set
Code
Google Sheets
+
Set
Code
Google Sheets
16 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
n8n.ioで表示 →
このワークフローを共有