18 구매 트렌드 분석

• •Google Sheets API 인증 정보
• •OpenAI API Key

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        "text": "=extract the unit sold, current price, stock availability, review count & rating, sales rank and based on it's purchasing performance give it rating out of 10.\nBelow is the url of the amazon product:\n{{ $json.url }}",
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        "content": "### 🔹 **SECTION 1: Trigger & Read Product URLs**\n\n**Nodes Combined:**\n\n* `Start Workflow (Manual Trigger)`\n* `Fetch Amazon URLs from Google Sheets`\n\n📌 **What Happens Here:**\nWhen you click **\"Execute workflow\"**, the automation kicks off. It reads a list of Amazon product URLs from a connected **Google Sheet** — each URL representing a product you want to analyze.\n\n🧠 **Why This Is Useful:**\nYou don't have to input product links manually every time. Just **paste your URLs in the Google Sheet**, and this step will automatically fetch them all. Perfect for monitoring dozens (or hundreds) of products.\n\n📋 **Fields Expected in Google Sheet:**\n\n* `URL` (Amazon product link)\n* *(Other columns will be auto-filled later)*\n\n🔧 **Icons Involved:**\n\n* ⚡ `Trigger`\n* 📄 `Google Sheets`\n\n---\n\n"
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        "content": "### 🤖 **SECTION 2: AI Agent + Scraper + Parser**\n\n**Node: `Amazon Product Analyzer (AI Agent)` + Sub-nodes:**\n\n* `OpenAI Chat Model`\n* `MCP Client (Bright Data)`\n* `Structured Output Parser`\n\n📌 **What Happens Here:**\n\n1. 🔍 The **AI Agent** passes each product URL to:\n\n   * 🛰️ The **MCP Client**, which uses **Bright Data's Mobile Carrier Proxy** to scrape data safely from Amazon (bypassing detection).\n   * 📊 The **data collected** includes:\n\n     * Units sold last month\n     * Current price\n     * Stock availability\n     * Review count\n     * Average rating\n     * Sales rank\n\n2. 💬 Then, the **OpenAI Chat Model** intelligently evaluates this data and gives a **performance rating out of 10**, simulating a product analyst's decision-making.\n\n3. 📦 Finally, the **Structured Output Parser** transforms the AI’s natural language response into **clean JSON fields** that n8n can write back to your Google Sheet.\n\n🧠 **Why This Is Useful:**\nThis section automates **competitive product research**, letting you know which products are worth stocking, promoting, or avoiding — without manually checking every listing.\n\n🛠️ **Icons Involved:**\n\n* 🤖 AI Agent\n* 🧠 OpenAI Chat\n* 🌐 MCP Scraper (Bright Data)\n* 📤 JSON Parser\n\n---\n\n"
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        "content": "### 📈 **SECTION 3: Update Google Sheet with Final Data**\n\n**Node: `Update Sheet with Product Insights`**\n\n📌 **What Happens Here:**\nOnce scraping and AI evaluation are done, the workflow **updates the original Google Sheet** with all the new fields:\n\n| Column                  | Description                                        |\n| ----------------------- | -------------------------------------------------- |\n| `Units Sold`            | Estimated number of units sold in the last 30 days |\n| `Current Price`         | Latest listed price on Amazon                      |\n| `Stock Availability`    | Whether product is in stock, and how many units    |\n| `Review Count & Rating` | Total reviews and average rating                   |\n| `Sales Rank`            | Rank in overall and subcategory                    |\n| `Performance Rating`    | AI-generated score out of 10 based on all factors  |\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": "## 🚀 Amazon Product Performance Analyzer Workflow\n\n**Automate product research + scoring using AI, scraping, and Google Sheets.**\n\n---\n\n### 🔹 **SECTION 1: Trigger & Read Product URLs**\n\n**Nodes Combined:**\n\n* `Start Workflow (Manual Trigger)`\n* `Fetch Amazon URLs from Google Sheets`\n\n📌 **What Happens Here:**\nWhen you click **\"Execute workflow\"**, the automation kicks off. It reads a list of Amazon product URLs from a connected **Google Sheet** — each URL representing a product you want to analyze.\n\n🧠 **Why This Is Useful:**\nYou don't have to input product links manually every time. Just **paste your URLs in the Google Sheet**, and this step will automatically fetch them all. Perfect for monitoring dozens (or hundreds) of products.\n\n📋 **Fields Expected in Google Sheet:**\n\n* `URL` (Amazon product link)\n* *(Other columns will be auto-filled later)*\n\n🔧 **Icons Involved:**\n\n* ⚡ `Trigger`\n* 📄 `Google Sheets`\n\n---\n\n### 🤖 **SECTION 2: AI Agent + Scraper + Parser**\n\n**Node: `Amazon Product Analyzer (AI Agent)` + Sub-nodes:**\n\n* `OpenAI Chat Model`\n* `MCP Client (Bright Data)`\n* `Structured Output Parser`\n\n📌 **What Happens Here:**\n\n1. 🔍 The **AI Agent** passes each product URL to:\n\n   * 🛰️ The **MCP Client**, which uses **Bright Data's Mobile Carrier Proxy** to scrape data safely from Amazon (bypassing detection).\n   * 📊 The **data collected** includes:\n\n     * Units sold last month\n     * Current price\n     * Stock availability\n     * Review count\n     * Average rating\n     * Sales rank\n\n2. 💬 Then, the **OpenAI Chat Model** intelligently evaluates this data and gives a **performance rating out of 10**, simulating a product analyst's decision-making.\n\n3. 📦 Finally, the **Structured Output Parser** transforms the AI’s natural language response into **clean JSON fields** that n8n can write back to your Google Sheet.\n\n🧠 **Why This Is Useful:**\nThis section automates **competitive product research**, letting you know which products are worth stocking, promoting, or avoiding — without manually checking every listing.\n\n🛠️ **Icons Involved:**\n\n* 🤖 AI Agent\n* 🧠 OpenAI Chat\n* 🌐 MCP Scraper (Bright Data)\n* 📤 JSON Parser\n\n---\n\n### 📈 **SECTION 3: Update Google Sheet with Final Data**\n\n**Node: `Update Sheet with Product Insights`**\n\n📌 **What Happens Here:**\nOnce scraping and AI evaluation are done, the workflow **updates the original Google Sheet** with all the new fields:\n\n| Column                  | Description                                        |\n| ----------------------- | -------------------------------------------------- |\n| `Units Sold`            | Estimated number of units sold in the last 30 days |\n| `Current Price`         | Latest listed price on Amazon                      |\n| `Stock Availability`    | Whether product is in stock, and how many units    |\n| `Review Count & Rating` | Total reviews and average rating                   |\n| `Sales Rank`            | Rank in overall and subcategory                    |\n| `Performance Rating`    | AI-generated score out of 10 based on all factors  |\n\n📈 **Why This Is Useful:**\nNow your spreadsheet becomes a **live product intelligence dashboard**, perfect for:\n\n* 👨‍💼 Product managers deciding what to sell\n* 📦 Suppliers checking demand\n* 📊 Marketers picking hot products to promote\n\n🛠️ **Icon Involved:**\n\n* 📝 Google Sheets (Update Node)\n\n---\n\n## 💡 Final Outcome:\n\nYour workflow is now a **smart Amazon trend analyzer**, delivering:\n\n* 🔁 Repeated product evaluation at scale\n* ⏱️ Instant product scoring without manual research\n* 📊 Clean, structured data ready for decision-making\n\n---\n\n"
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