Durch den BrightData-Trend-Tracker

• •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
• •Google Sheets API-Anmeldedaten

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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": "## 🚀 **Monthly Viral Trend Tracker Workflow**\n\nThis automation helps you track viral posts on **Quora** around specific topics (like *marketing* or *design*) every month. It scrapes trending content, extracts useful data (titles, URLs, stats), and saves it into a Google Sheet for later use — perfect for trend research, reporting, or content inspiration.\n\n---\n\n### 🧠 **SECTION 1: Trend Trigger & Scraper**\n\n> **Purpose:** Automate the scraping of viral content from Quora every month.\n\n#### ⏰ `Node 1: Monthly Trend Trigger`\n\n**🔗 Type:** Cron Scheduler\n**🧩 What it does:**\nThis node is like your personal assistant — it **automatically starts the workflow on the 1st day of every month** without you lifting a finger.\n\n* 🗓 Trigger schedule: Monthly (e.g., `0 0 1 * *`)\n* 📈 Use Case: Keeps your trend tracking consistent and timely\n\n> 🧠 *Why it matters:* Instead of manually checking viral trends, this node ensures it’s **fully automated**, perfect for monthly reports or trend tracking dashboards.\n\n---\n\n#### 🌐 `Node 2: Scrape Quora Trends (Bright Data)`\n\n**🔗 Type:** HTTP Request\n**🧩 What it does:**\nThis node sends a **POST request to Bright Data** to scrape trending Quora results for a given topic (like `\"https://www.quora.com/search?q=marketing\"`).\n\n* 🔒 Uses **Bright Data Web Unlocker** to bypass restrictions\n* 🧠 Intelligent scraping with full HTML + rendering\n* 🔍 Targets specific search terms (e.g., `marketing`, `UX`, `AI in marketing`)\n\n> 💡 *Why it matters:* You can collect **real trending content** from Quora without opening your browser. Bright Data handles the hard stuff like JavaScript, proxies, and blocks.\n\n---\n\n### 🧾 **SECTION 2: Extract & Save Insights**\n\n> **Purpose:** Process the scraped data and store it in a usable format (Google Sheets).\n\n#### 🧱 `Node 3: Extract Post Titles & Stats`\n\n**🔗 Type:** HTML Extract\n**🧩 What it does:**\nTakes the raw HTML from Quora and pulls out the meaningful information you care about:\n\n* 📝 Question titles or post headlines\n* 🔗 URLs\n* 👍 Vote count or engagement\n* 🧑 Author or answer snippet (if desired)\n\nYou use **CSS Selectors or XPath** to tell n8n what to extract. For example:\n\n```css\na.q-box.qu-mb--tiny  →  Post links  \ndiv.q-relative  →  Snippets or text  \n```\n\n> 🧠 *Why it matters:* This is where raw data becomes structured. You’re now transforming messy HTML into useful, clean trend info.\n\n---\n\n#### 📊 `Node 4: Save Trends to Sheet`\n\n**🔗 Type:** Google Sheets\n**🧩 What it does:**\nTakes the structured trend data and **appends it to a Google Sheet** for archiving, analysis, or sharing.\n\n* 🔄 Keeps data centralized in Google Drive\n* 🧾 Every entry becomes part of a monthly trend log\n* 📤 Can be exported, visualized, or emailed later\n\n> 💡 *Why it matters:* This gives you a **living database of viral content** that you can reference later for reports, content ideas, social strategy, or client insights.\n\n---\n\n### 📦 **Workflow Summary**\n\n| Section                              | What's Happening                                                                  | Icons    |\n| ------------------------------------ | --------------------------------------------------------------------------------- | -------- |\n| **🧠 Section 1**<br>Trigger & Scrape | Automatically triggers each month → sends request to scrape Quora via Bright Data | ⏰ 🌐 🔍  |\n| **🧾 Section 2**<br>Extract & Store  | Parses HTML → extracts question titles, votes, links → saves to Google Sheets     | 🧾 🧪 📊 |\n\n---\n\n### 💼 How a Beginner Can Use This\n\n1. **No Code Needed:** All steps use visual nodes in n8n.\n2. **Customizable Topics:** Change `\"url\"` in the HTTP node to track any niche.\n3. **Scalable:** Duplicate the scraping node to include Reddit, Twitter, or LinkedIn later.\n4. **Google Sheets Ready:** Easy to share or use in reporting tools like Looker Studio or Excel.\n\n---\n"
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        "content": "### 🧠 **SECTION 1: Trend Trigger & Scraper**\n\n> **Purpose:** Automate the scraping of viral content from Quora every month.\n\n#### ⏰ `Node 1: Monthly Trend Trigger`\n\n**🔗 Type:** Cron Scheduler\n**🧩 What it does:**\nThis node is like your personal assistant — it **automatically starts the workflow on the 1st day of every month** without you lifting a finger.\n\n* 🗓 Trigger schedule: Monthly (e.g., `0 0 1 * *`)\n* 📈 Use Case: Keeps your trend tracking consistent and timely\n\n> 🧠 *Why it matters:* Instead of manually checking viral trends, this node ensures it’s **fully automated**, perfect for monthly reports or trend tracking dashboards.\n\n---\n\n#### 🌐 `Node 2: Scrape Quora Trends (Bright Data)`\n\n**🔗 Type:** HTTP Request\n**🧩 What it does:**\nThis node sends a **POST request to Bright Data** to scrape trending Quora results for a given topic (like `\"https://www.quora.com/search?q=marketing\"`).\n\n* 🔒 Uses **Bright Data Web Unlocker** to bypass restrictions\n* 🧠 Intelligent scraping with full HTML + rendering\n* 🔍 Targets specific search terms (e.g., `marketing`, `UX`, `AI in marketing`)\n\n> 💡 *Why it matters:* You can collect **real trending content** from Quora without opening your browser. Bright Data handles the hard stuff like JavaScript, proxies, and blocks.\n\n---\n\n"
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        "content": "### 🧾 **SECTION 2: Extract & Save Insights**\n\n> **Purpose:** Process the scraped data and store it in a usable format (Google Sheets).\n\n#### 🧱 `Node 3: Extract Post Titles & Stats`\n\n**🔗 Type:** HTML Extract\n**🧩 What it does:**\nTakes the raw HTML from Quora and pulls out the meaningful information you care about:\n\n* 📝 Question titles or post headlines\n* 🔗 URLs\n* 👍 Vote count or engagement\n* 🧑 Author or answer snippet (if desired)\n\nYou use **CSS Selectors or XPath** to tell n8n what to extract. For example:\n\n```css\na.q-box.qu-mb--tiny  →  Post links  \ndiv.q-relative  →  Snippets or text  \n```\n\n> 🧠 *Why it matters:* This is where raw data becomes structured. You’re now transforming messy HTML into useful, clean trend info.\n\n---\n\n#### 📊 `Node 4: Save Trends to Sheet`\n\n**🔗 Type:** Google Sheets\n**🧩 What it does:**\nTakes the structured trend data and **appends it to a Google Sheet** for archiving, analysis, or sharing.\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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