BuiltWith-Wochenzusammenfassung

• •Google-Konto + Gmail API-Anmeldedaten
• •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
• •Google Sheets API-Anmeldedaten
• •OpenAI API Key

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  "name": "BuiltWith Weekly Summary",
  "tags": [],
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      "name": "Technologie-Stack-Info extrahieren",
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      "parameters": {
        "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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      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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      "parameters": {
        "model": {
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      "webhookId": "05291794-346e-453c-985a-7c4fd12620f2",
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        "message": "={{ $json.output }}",
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        "subject": "Weekly BuitlWith Ecommerce Platform Summary",
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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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              "Lookup": "webflow.com",
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                    "Groups": [
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                        "Name": "Web Hosting Providers",
                        "Tech": [
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                            "LastDetected": "2025-06-06",
                            "FirstDetected": "2022-01-10"
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                            "FirstDetected": "2021-05-01"
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