Monitoreo de lanzamientos de productos de la competencia

• •Cuenta de Google y credenciales de API de Gmail
• •Credenciales de API de Google Sheets
• •Clave de API de OpenAI

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        "content": "## 🔶 **SECTION 1: Schedule & Scrape Target Configuration**\n\n🧩 **Nodes:**\n\n* ⏰ `Daily Check (7AM)`\n* 🛠 `Set Scrape Target (Verge Reviews)`\n\n---\n\n### 🧠 What’s Happening:\n\nThis section controls **when** and **what** to scrape.\n\n#### ⏰ `Schedule Trigger`\n\n* Automatically runs the workflow **every morning at 7AM**.\n* No manual checking needed!\n\n#### 🛠 `Edit Fields`\n\n* Sets the target scraping page:\n  `https://www.theverge.com/reviews`\n* You can easily switch this to other competitor sites (like TechCrunch or Wired) later.\n\n---\n\n### 💡 Why it matters:\n\nThis is where you **customize your intelligence source**. Just change the URL or keyword once — no coding needed.\n\n---\n\n"
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        "content": "## 🤖 **SECTION 2: Agent-Powered Scraping with Bright Data**\n\n🧩 **Node:**\n\n* 🤖 `Bright Data Scraper Agent`\n  🔗 Sub-nodes:\n* 🔮 OpenAI Chat Model\n* 🧩 MCP Client (Bright Data Tool)\n* 📦 Structured Output Parser\n\n---\n\n### 🧠 What’s Happening:\n\nThis is the **heart of the automation** — using a powerful AI agent connected to Bright Data’s scraping infrastructure.\n\n#### 🤖 `AI Agent`\n\n* Uses an **OpenAI agent** that understands your instructions.\n* Connects to **Bright Data MCP** to bypass anti-bot systems and extract clean product data.\n* Scrapes:\n\n  * 📦 Product Title\n  * 📅 Release Date\n  * 📝 Short Summary\n  * 🔗 URL (relative, so we'll fix that later)\n\n#### 📦 `Structured Output Parser`\n\n* Parses the AI agent’s response into structured JSON — ready for automation.\n\n---\n\n### 💡 Why it matters:\n\nEven a beginner can now use **AI + Bright Data** to scrape dynamic sites that normally block scrapers.\n\n---\n\n"
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        "content": "## 🧾 **SECTION 3: Split & Format Each Review**\n\n🧩 **Node:**\n\n* 🧾 `Split & Format Each Review`\n\n---\n\n### 🧠 What’s Happening:\n\nThis Code Node takes the array of product reviews and **splits them into one item each**.\n\n#### Code Features:\n\n* Converts relative URLs to full links (e.g., `/xyz` → `https://www.theverge.com/xyz`)\n* Outputs 10 clean JSON objects, one per review.\n\n```javascript\nreturn items.map(review => {\n  return {\n    json: {\n      title: review.title,\n      url: \"https://www.theverge.com\" + review.url,\n      release_date: review.release_date,\n      summary: review.summary\n    }\n  };\n});\n```\n\n---\n\n### 💡 Why it matters:\n\nThis lets you send **individual emails** and store **individual entries** — great for reporting, filtering, and team alerts.\n\n---\n\n"
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        "content": "## ✉️📊 **SECTION 4: Notify & Log the Insights**\n\n🧩 **Nodes:**\n\n* ✉️ `Email R&D: Product Alerts`\n* 📄 `Log to Google Sheet (Review History)`\n\n---\n\n### 🧠 What’s Happening:\n\nNow that the data is cleaned and structured, we act on it:\n\n#### ✉️ Gmail Node\n\n* Sends **one beautiful email per product** to the R\\&D team.\n* Contains:\n\n  * Product title\n  * Release date\n  * Summary\n  * Link to full article\n* Uses HTML formatting for clarity.\n\n#### 📄 Google Sheets Node\n\n* Appends each product to a sheet.\n* Serves as a **history log** to:\n\n  * Track past launches\n  * Prevent duplicate alerts\n  * Enable analysis later\n\n---\n\n### 💡 Why it matters:\n\nYour R\\&D team gets **instant alerts** about what competitors are launching — and you get a **central record** to refer to anytime.\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": "# 🛠️ Monitor Competitor Product Launches (The Verge)\n\n> 🔄 Automated n8n workflow using Bright Data MCP to scrape reviews & notify R\\&D team\n\n---\n\n## 🔶 **SECTION 1: Schedule & Scrape Target Configuration**\n\n🧩 **Nodes:**\n\n* ⏰ `Daily Check (7AM)`\n* 🛠 `Set Scrape Target (Verge Reviews)`\n\n---\n\n### 🧠 What’s Happening:\n\nThis section controls **when** and **what** to scrape.\n\n#### ⏰ `Schedule Trigger`\n\n* Automatically runs the workflow **every morning at 7AM**.\n* No manual checking needed!\n\n#### 🛠 `Edit Fields`\n\n* Sets the target scraping page:\n  `https://www.theverge.com/reviews`\n* You can easily switch this to other competitor sites (like TechCrunch or Wired) later.\n\n---\n\n### 💡 Why it matters:\n\nThis is where you **customize your intelligence source**. Just change the URL or keyword once — no coding needed.\n\n---\n\n## 🤖 **SECTION 2: Agent-Powered Scraping with Bright Data**\n\n🧩 **Node:**\n\n* 🤖 `Bright Data Scraper Agent`\n  🔗 Sub-nodes:\n* 🔮 OpenAI Chat Model\n* 🧩 MCP Client (Bright Data Tool)\n* 📦 Structured Output Parser\n\n---\n\n### 🧠 What’s Happening:\n\nThis is the **heart of the automation** — using a powerful AI agent connected to Bright Data’s scraping infrastructure.\n\n#### 🤖 `AI Agent`\n\n* Uses an **OpenAI agent** that understands your instructions.\n* Connects to **Bright Data MCP** to bypass anti-bot systems and extract clean product data.\n* Scrapes:\n\n  * 📦 Product Title\n  * 📅 Release Date\n  * 📝 Short Summary\n  * 🔗 URL (relative, so we'll fix that later)\n\n#### 📦 `Structured Output Parser`\n\n* Parses the AI agent’s response into structured JSON — ready for automation.\n\n---\n\n### 💡 Why it matters:\n\nEven a beginner can now use **AI + Bright Data** to scrape dynamic sites that normally block scrapers.\n\n---\n\n## 🧾 **SECTION 3: Split & Format Each Review**\n\n🧩 **Node:**\n\n* 🧾 `Split & Format Each Review`\n\n---\n\n### 🧠 What’s Happening:\n\nThis Code Node takes the array of product reviews and **splits them into one item each**.\n\n#### Code Features:\n\n* Converts relative URLs to full links (e.g., `/xyz` → `https://www.theverge.com/xyz`)\n* Outputs 10 clean JSON objects, one per review.\n\n```javascript\nreturn items.map(review => {\n  return {\n    json: {\n      title: review.title,\n      url: \"https://www.theverge.com\" + review.url,\n      release_date: review.release_date,\n      summary: review.summary\n    }\n  };\n});\n```\n\n---\n\n### 💡 Why it matters:\n\nThis lets you send **individual emails** and store **individual entries** — great for reporting, filtering, and team alerts.\n\n---\n\n## ✉️📊 **SECTION 4: Notify & Log the Insights**\n\n🧩 **Nodes:**\n\n* ✉️ `Email R&D: Product Alerts`\n* 📄 `Log to Google Sheet (Review History)`\n\n---\n\n### 🧠 What’s Happening:\n\nNow that the data is cleaned and structured, we act on it:\n\n#### ✉️ Gmail Node\n\n* Sends **one beautiful email per product** to the R\\&D team.\n* Contains:\n\n  * Product title\n  * Release date\n  * Summary\n  * Link to full article\n* Uses HTML formatting for clarity.\n\n#### 📄 Google Sheets Node\n\n* Appends each product to a sheet.\n* Serves as a **history log** to:\n\n  * Track past launches\n  * Prevent duplicate alerts\n  * Enable analysis later\n\n---\n\n### 💡 Why it matters:\n\nYour R\\&D team gets **instant alerts** about what competitors are launching — and you get a **central record** to refer to anytime.\n\n---\n\n## 🎯 Final Thoughts\n\nEven if you’re a complete beginner:\n\n* You don’t need to write code (just paste small pieces).\n* You’re scraping dynamic sites legally & cleanly via Bright Data.\n* You’re using AI + n8n to automate competitive intelligence.\n\n---\n\n"
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