14 경쟁사 콘텐츠 성과 분석

• •Google 계정 및 Gmail API 인증 정보
• •OpenAI API Key

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        "content": "## ✅ **📂 SECTION 1 — Trigger & Input**\n\n### ⚡ Node 1: **Start: Execute Workflow**\n\n**Icon:** ⚡\n**What it does:** This node waits for you to **click “Execute Workflow.”** It’s like a start button.\n**Why it’s useful:** It gives you control — you can run this only when you’re ready to scrape & analyze.\n\n---\n\n### 📝 Node 2: **Input: Competitor Details**\n\n**Icon:** 📝\n**What it does:** Here you **manually enter** the competitor blog URLs, tags, or keywords you want to analyze.\n\n* Example: `https://moz.com/blog`, `https://ahrefs.com/blog`\n* You can also add extra fields like “Target Language” or “Topics of Interest.”\n\n**How this helps:**\n\n* You keep the workflow flexible.\n* You can reuse the same flow for any competitor.\n* Non-technical team members can easily update input.\n\n---\n\n**🔑 SECTION 1 Summary:**\nThis section **starts** your workflow and **feeds it the raw data**: **What do you want to scrape?** — It’s **your starting point**.\n\n---\n\n"
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        "content": "## 🤖 **📂 SECTION 2 — AI Analysis & Scraping**\n\n### 🧩 Node 3: **AI Agent: Analyze Content**\n\n**Icon:** 🤖\n**What it does:** This is the **brain**. It connects to:\n\n* OpenAI Chat Model 🧠 (for text understanding & suggestions)\n* MCP Client 🌐 (for real-time scraping)\n* Output Parser 🗂️ (for formatting results)\n\n**How it works:**\n\n* The AI Agent takes your input (competitor URLs).\n* It tells the MCP Client to scrape those sites for:\n\n  * Blog titles\n  * Publish dates\n  * Traffic stats\n* Then, OpenAI checks what your competitors cover that **you don’t**.\n* The Output Parser converts the AI output into clean, usable JSON with **subject + body** for email.\n\n---\n\n### 💬 Sub Node: **OpenAI: Generate Insights**\n\n**Icon:** 💬\n**What it does:** Creates text output:\n\n* Finds strengths\n* Spots gaps in your content\n* Writes suggestions for improvement\n\n---\n\n### 🌐 Sub Node: **MCP Scraper: Get Blog Data**\n\n**Icon:** 🌐\n**What it does:** Bright Data MCP pulls real traffic numbers, page details, etc., from competitor blogs.\n\n* Uses proxies & anti-bot tech to avoid blocks.\n* Delivers real data you couldn’t get manually.\n\n---\n\n### 🗂️ Sub Node: **Parser: Format Email JSON**\n\n**Icon:** 🗂️\n**What it does:** Takes the AI’s text output and converts it to a clean JSON with **subject** and **body** keys — perfect for sending in an email.\n\n* Ensures no messy or broken text.\n* Makes the next step (sending) easy and automated.\n\n---\n\n**🔑 SECTION 2 Summary:**\nThis section **does the heavy lifting**:\n\n* Scrapes real competitor data\n* Uses AI to **analyze & recommend**\n* Prepares the output in a format ready for your client\n\nEven a beginner can see: **You get powerful insights with zero manual scraping or writing.**\n\n---\n\n"
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        "content": "## 📧 **📂 SECTION 3 — Send Email**\n\n### 📧 Node 4: **Send Email: Client Suggestions**\n\n**Icon:** 📧\n**What it does:** Takes the **structured subject + body** from the previous step and automatically sends a beautiful email to your client via **Gmail**.\n\n* Can send to any recipient\n* Looks professional\n* No need to copy-paste anything\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: Analyze Competitor Content & Send Email**\n\nThis automation **scrapes competitor blog stats**, **analyzes them with AI**, and **emails clear improvement suggestions** — all **no-code** using **n8n**, **Bright Data MCP**, and **OpenAI**.\n\n---\n\n## ✅ **📂 SECTION 1 — Trigger & Input**\n\n### ⚡ Node 1: **Start: Execute Workflow**\n\n**Icon:** ⚡\n**What it does:** This node waits for you to **click “Execute Workflow.”** It’s like a start button.\n**Why it’s useful:** It gives you control — you can run this only when you’re ready to scrape & analyze.\n\n---\n\n### 📝 Node 2: **Input: Competitor Details**\n\n**Icon:** 📝\n**What it does:** Here you **manually enter** the competitor blog URLs, tags, or keywords you want to analyze.\n\n* Example: `https://moz.com/blog`, `https://ahrefs.com/blog`\n* You can also add extra fields like “Target Language” or “Topics of Interest.”\n\n**How this helps:**\n\n* You keep the workflow flexible.\n* You can reuse the same flow for any competitor.\n* Non-technical team members can easily update input.\n\n---\n\n**🔑 SECTION 1 Summary:**\nThis section **starts** your workflow and **feeds it the raw data**: **What do you want to scrape?** — It’s **your starting point**.\n\n---\n\n## 🤖 **📂 SECTION 2 — AI Analysis & Scraping**\n\n### 🧩 Node 3: **AI Agent: Analyze Content**\n\n**Icon:** 🤖\n**What it does:** This is the **brain**. It connects to:\n\n* OpenAI Chat Model 🧠 (for text understanding & suggestions)\n* MCP Client 🌐 (for real-time scraping)\n* Output Parser 🗂️ (for formatting results)\n\n**How it works:**\n\n* The AI Agent takes your input (competitor URLs).\n* It tells the MCP Client to scrape those sites for:\n\n  * Blog titles\n  * Publish dates\n  * Traffic stats\n* Then, OpenAI checks what your competitors cover that **you don’t**.\n* The Output Parser converts the AI output into clean, usable JSON with **subject + body** for email.\n\n---\n\n### 💬 Sub Node: **OpenAI: Generate Insights**\n\n**Icon:** 💬\n**What it does:** Creates text output:\n\n* Finds strengths\n* Spots gaps in your content\n* Writes suggestions for improvement\n\n---\n\n### 🌐 Sub Node: **MCP Scraper: Get Blog Data**\n\n**Icon:** 🌐\n**What it does:** Bright Data MCP pulls real traffic numbers, page details, etc., from competitor blogs.\n\n* Uses proxies & anti-bot tech to avoid blocks.\n* Delivers real data you couldn’t get manually.\n\n---\n\n### 🗂️ Sub Node: **Parser: Format Email JSON**\n\n**Icon:** 🗂️\n**What it does:** Takes the AI’s text output and converts it to a clean JSON with **subject** and **body** keys — perfect for sending in an email.\n\n* Ensures no messy or broken text.\n* Makes the next step (sending) easy and automated.\n\n---\n\n**🔑 SECTION 2 Summary:**\nThis section **does the heavy lifting**:\n\n* Scrapes real competitor data\n* Uses AI to **analyze & recommend**\n* Prepares the output in a format ready for your client\n\nEven a beginner can see: **You get powerful insights with zero manual scraping or writing.**\n\n---\n\n## 📧 **📂 SECTION 3 — Send Email**\n\n### 📧 Node 4: **Send Email: Client Suggestions**\n\n**Icon:** 📧\n**What it does:** Takes the **structured subject + body** from the previous step and automatically sends a beautiful email to your client via **Gmail**.\n\n* Can send to any recipient\n* Looks professional\n* No need to copy-paste anything\n\n---\n\n**🔑 SECTION 3 Summary:**\n**Your final result — the insights become a real email.**\n\n* Saves time writing reports\n* Ensures your client sees clear recommendations\n* Automates the boring parts\n\n---\n\n## 🌟 **Benefits for Beginners**\n\n✅ **No coding needed:** You drag, drop, connect.\n✅ **Scalable:** Add more competitors anytime.\n✅ **Reusable:** Just change the input URLs.\n✅ **Professional output:** High-value insights in seconds.\n✅ **End-to-end:** From scraping to client inbox in one click.\n\n---\n\n## 🗂️ **💡 Final Tip**\n\nAdd emojis 📝 🤖 💬 🌐 🗂️ 📧 to your node names in **n8n** — it makes complex flows clear **at a glance**.\n\n---\n\n## 🔗 **Ready to Run!**\n\nYour final workflow:\n\n```\n⚡ Start → 📝 Input → 🤖 AI Agent\n         ↘️ 💬 OpenAI → 🌐 MCP → 🗂️ Parser → 📧 Send Email\n```\n\n"
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