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    "name": "Automated weekly tech stack reports with BuiltWith, GPT-4o & Gmail",
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    "createdAt": "2025-06-08T14:06:39.725Z",
    "description": "\n\nAutomated weekly report that summarizes technology stack changes, trends, and insights from your tracked companies.\n\n## 🚀 What It Does\n\n- Compiles weekly technology updates\n- Highlights significant changes\n- Identifies emerging trends\n- Provides actionable insights\n- Delivers scheduled reports\n\n## 🎯 Perfect For\n\n- CTOs and technical leaders\n- Sales and marketing teams\n- Business intelligence\n- Technology consultants\n- Market researchers\n\n## ⚙️ Key Benefits\n\n✅ Weekly digest of changes  \n✅ Trend analysis  \n✅ Competitive intelligence  \n✅ Time-saving automation  \n✅ Data-driven decisions  \n\n## 🔧 What You Need\n\n- BuiltWith API access\n- n8n instance\n- Email service (for delivery)\n- Google Sheets (for data storage)\n\n## 📊 Report Includes\n\n- New technology adoptions\n- Technology removals\n- Industry trends\n- Competitive analysis\n- Custom metrics\n\n## 🛠️ Setup & Support\n\n### Quick Setup\n\nGet your first report in 15 minutes with our step-by-step guide\n\n### 📺 Watch Tutorial\n\n[![YouTube](https://img.shields.io/badge/YouTube-Watch_Tutorial-red?style=for-the-badge&logo=youtube)](https://www.youtube.com/@YaronBeen/videos)\n\n### 💼 Get Expert Support\n\n[![LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue?style=for-the-badge&logo=linkedin)](https://www.linkedin.com/in/yaronbeen/)\n\n### 📧 Direct Help\n\n[![Email](https://img.shields.io/badge/Email-Contact%20Us-green?style=for-the-badge&logo=gmail)](mailto:Yaron@nofluff.online)\n\nStay ahead of technology trends with a comprehensive weekly digest of your industry's technology landscape.\n",
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      "name": "BuiltWith Weekly Summary",
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          "name": "Extract Tech Stack Info",
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            "jsCode": "const result = $json.Results?.[0];\nconst domain = result?.Lookup || null;\nconst path = result?.Result?.Paths?.[0];\nconst url = path?.Url || null;\n\nlet extracted = null;\n\n// Loop through Groups to find the first available Tech entry\nfor (const group of path?.Groups || []) {\n  const category = group.Name;\n  const tech = group.Tech?.[0];\n  \n  if (tech) {\n    extracted = {\n      Technology: tech.Name,\n      Category: category,\n      \"First Detected\": tech.FirstDetected,\n      \"Last Detected\": tech.LastDetected,\n      Domain: domain,\n      URL: url\n    };\n    break; // Stop after first match\n  }\n}\n\nreturn extracted ? [extracted] : [];\n"
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          "parameters": {
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            "message": "={{ $json.output }}",
            "options": {
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            "subject": "Weekly BuitlWith Ecommerce Platform Summary",
            "emailType": "text"
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            "content": "## 📦 **Section 1: Data Collection Stage**\n\n**(Nodes: 1️⃣ Schedule Trigger + 2️⃣ Fetch Domain List)**\n\n### 🔁 1. Weekly Automation Trigger\n\n🕘 **Node Name: `Weekly Summary Trigger`**\n⏰ **What it does:**\nThis node kicks off the entire workflow **automatically every Monday at 9 AM** — no manual work needed!\n\n💡 **Think of it like a morning alarm** for your workflow. Every week, it starts the process so you never forget to analyze the tech stacks again.\n\n---\n\n### 📄 2. Read Domains from Google Sheets\n\n🗂️ **Node Name: `Fetch Domain List`**\n📥 **What it does:**\nThis node goes into your **Google Sheet** and pulls a list of ecommerce **website domains** (like `nike.com`, `asos.com`, etc.)\n\n🔗 *You just need to keep updating your Google Sheet whenever you want to analyze new ecommerce websites.*\n\n---\n\n### ✅ **Summary of Section 1:**\n\nThis section **automates the start** and pulls the **input data (website list)** from a central, editable place (Google Sheets).\n\n---\n\n"
          },
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            "content": "# 🧠 **Section 2: Tech Stack Intelligence Stage**\n\n**(Nodes: 3️⃣ Get Tech Stack + 4️⃣ Parse Tech Info)**\n\n### 🌐 3. Fetch Tech Stack via BuiltWith\n\n🔧 **Node Name: `Get Tech Stack (BuiltWith API)`**\n📡 **What it does:**\nThis node sends each domain from the sheet to [BuiltWith](https://builtwith.com) — a powerful tool that tells you **which technologies** a website is using.\n\n💬 For example:\n`nike.com` → Shopify, Google Analytics, Facebook Pixel, etc.\n\n📬 It does this using a GET request from BuiltWith’s API endpoint:\n\n```\nGET https://api.builtwith.com/\n```\n\n---\n\n### 🧾 4. Extract Useful Info\n\n🧮 **Node Name: `Parse Tech Stack Details`**\n📤 **What it does:**\nThe raw response from BuiltWith can be messy. This node **cleans up the data** and pulls only what’s **relevant** — like ecommerce platforms, analytics tools, and payment gateways.\n\n🔍 *It extracts only the gold from the data mine.*\n\n---\n\n### ✅ **Summary of Section 2:**\n\nThis section **fetches and organizes** advanced tech insights about each ecommerce site. No need for you to visit every site or dig through source code!\n\n---\n\n"
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            "content": "## 💌 **Section 3: Smart Summary & Delivery**\n\n**(Nodes: 5️⃣ Generate Stack Summary + 6️⃣ Send Email)**\n\n### 🤖 5. Generate Tech Summary with AI\n\n🧠 **Node Name: `Generate Stack Summary (AI)`**\n📋 **What it does:**\nThis is where the magic happens! It uses **OpenAI Chat Model** to analyze and summarize the tech stack for each domain in **clear, readable language**.\n\n🧑‍💻 Instead of showing raw JSON or tool names, it says:\n\n> *“Nike.com uses Shopify for its storefront, integrates Google Tag Manager for analytics, and uses Klarna for payment processing.”*\n\n📈 You can easily forward this to clients, managers, or teammates.\n\n---\n\n### 📬 6. Email the Summary\n\n📨 **Node Name: `Send Summary Email`**\n📧 **What it does:**\nFinally, this node **sends the generated summaries via Gmail** to a specified email address — or even multiple addresses.\n\n💡 You can customize the subject, recipient list, and message format easily.\n\n---\n\n### ✅ **Summary of Section 3:**\n\nThis section turns complex data into **natural-language insights** and delivers them **automatically** via email. It's like having your own tech intelligence assistant!\n\n---\n\n"
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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": "## 🧩 **Automated Tech Stack Reporting Workflow**\n\n🎯 *Goal: Automatically fetch and summarize the technology stacks of ecommerce domains every week and email the summary.*\n\n---\n\n## 📦 **Section 1: Data Collection Stage**\n\n**(Nodes: 1️⃣ Schedule Trigger + 2️⃣ Fetch Domain List)**\n\n### 🔁 1. Weekly Automation Trigger\n\n🕘 **Node Name: `Weekly Summary Trigger`**\n⏰ **What it does:**\nThis node kicks off the entire workflow **automatically every Monday at 9 AM** — no manual work needed!\n\n💡 **Think of it like a morning alarm** for your workflow. Every week, it starts the process so you never forget to analyze the tech stacks again.\n\n---\n\n### 📄 2. Read Domains from Google Sheets\n\n🗂️ **Node Name: `Fetch Domain List`**\n📥 **What it does:**\nThis node goes into your **Google Sheet** and pulls a list of ecommerce **website domains** (like `nike.com`, `asos.com`, etc.)\n\n🔗 *You just need to keep updating your Google Sheet whenever you want to analyze new ecommerce websites.*\n\n---\n\n### ✅ **Summary of Section 1:**\n\nThis section **automates the start** and pulls the **input data (website list)** from a central, editable place (Google Sheets).\n\n---\n\n## 🧠 **Section 2: Tech Stack Intelligence Stage**\n\n**(Nodes: 3️⃣ Get Tech Stack + 4️⃣ Parse Tech Info)**\n\n### 🌐 3. Fetch Tech Stack via BuiltWith\n\n🔧 **Node Name: `Get Tech Stack (BuiltWith API)`**\n📡 **What it does:**\nThis node sends each domain from the sheet to [BuiltWith](https://builtwith.com) — a powerful tool that tells you **which technologies** a website is using.\n\n💬 For example:\n`nike.com` → Shopify, Google Analytics, Facebook Pixel, etc.\n\n📬 It does this using a GET request from BuiltWith’s API endpoint:\n\n```\nGET https://api.builtwith.com/\n```\n\n---\n\n### 🧾 4. Extract Useful Info\n\n🧮 **Node Name: `Parse Tech Stack Details`**\n📤 **What it does:**\nThe raw response from BuiltWith can be messy. This node **cleans up the data** and pulls only what’s **relevant** — like ecommerce platforms, analytics tools, and payment gateways.\n\n🔍 *It extracts only the gold from the data mine.*\n\n---\n\n### ✅ **Summary of Section 2:**\n\nThis section **fetches and organizes** advanced tech insights about each ecommerce site. No need for you to visit every site or dig through source code!\n\n---\n\n## 💌 **Section 3: Smart Summary & Delivery**\n\n**(Nodes: 5️⃣ Generate Stack Summary + 6️⃣ Send Email)**\n\n### 🤖 5. Generate Tech Summary with AI\n\n🧠 **Node Name: `Generate Stack Summary (AI)`**\n📋 **What it does:**\nThis is where the magic happens! It uses **OpenAI Chat Model** to analyze and summarize the tech stack for each domain in **clear, readable language**.\n\n🧑‍💻 Instead of showing raw JSON or tool names, it says:\n\n> *“Nike.com uses Shopify for its storefront, integrates Google Tag Manager for analytics, and uses Klarna for payment processing.”*\n\n📈 You can easily forward this to clients, managers, or teammates.\n\n---\n\n### 📬 6. Email the Summary\n\n📨 **Node Name: `Send Summary Email`**\n📧 **What it does:**\nFinally, this node **sends the generated summaries via Gmail** to a specified email address — or even multiple addresses.\n\n💡 You can customize the subject, recipient list, and message format easily.\n\n---\n\n### ✅ **Summary of Section 3:**\n\nThis section turns complex data into **natural-language insights** and delivers them **automatically** via email. It's like having your own tech intelligence assistant!\n\n---\n\n## 🌟 **What Beginners Can Do with This Workflow**\n\n| 🛠️ Use Case            | ✅ Benefit                                         |\n| ----------------------- | ------------------------------------------------- |\n| 🧪 **Tech Analysis**    | Learn what tech stacks big ecommerce sites use    |\n| 📊 **Client Reporting** | Automatically send insights to stakeholders       |\n| 🧠 **AI Integration**   | Understand how LLMs can summarize complex data    |\n| 🧩 **Automation**       | Master scheduling, APIs, and data flows           |\n| 💼 **Freelance Growth** | Offer it as a service to marketing or dev clients |\n\n---\n\n## 🌈 **Conclusion:**\n\nThis workflow is a **zero-touch**, **AI-powered automation** for ecommerce tech stack analysis that beginners can adopt, modify, and scale for other industries too!\n\n\n"
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      "name": "Yaron Been",
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      "bio": "Building AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host\n\nIf you need any help with Automations, feel free to reach out via linkedin:\nhttps://www.linkedin.com/in/yaronbeen/\n\nAnd check out my Youtube channel:\nhttps://www.youtube.com/@YaronBeen/videos",
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        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 834,
        "icon": "file:code.svg",
        "name": "n8n-nodes-base.code",
        "codex": {
          "data": {
            "alias": [
              "cpde",
              "Javascript",
              "JS",
              "Python",
              "Script",
              "Custom Code",
              "Function"
            ],
            "details": "The Code node allows you to execute JavaScript in your workflow.",
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
                }
              ]
            },
            "categories": [
              "Development",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Code"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Code",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 839,
        "icon": "fa:clock",
        "name": "n8n-nodes-base.scheduleTrigger",
        "codex": {
          "data": {
            "alias": [
              "Time",
              "Scheduler",
              "Polling",
              "Cron",
              "Interval"
            ],
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\",\"schedule\"]",
        "defaults": {
          "name": "Schedule Trigger",
          "color": "#31C49F"
        },
        "iconData": {
          "icon": "clock",
          "type": "icon"
        },
        "displayName": "Schedule Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1119,
        "icon": "fa:robot",
        "name": "@n8n/n8n-nodes-langchain.agent",
        "codex": {
          "data": {
            "alias": [
              "LangChain",
              "Chat",
              "Conversational",
              "Plan and Execute",
              "ReAct",
              "Tools"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Agents",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "AI Agent",
          "color": "#404040"
        },
        "iconData": {
          "icon": "robot",
          "type": "icon"
        },
        "displayName": "AI Agent",
        "typeVersion": 3,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1153,
        "icon": "file:openAiLight.svg",
        "name": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Language Models",
                "Root Nodes"
              ],
              "Language Models": [
                "Chat Models (Recommended)"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "OpenAI Chat Model"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "OpenAI Chat Model",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 32,
        "name": "Market Research"
      },
      {
        "id": 49,
        "name": "AI Summarization"
      }
    ],
    "image": []
  }
}