Automatisation de la surveillance de forums_via_Bright_data

• •Peut nécessiter les informations d'identification d'authentification de l'API cible
• •Informations d'identification Google Sheets API
• •Clé API OpenAI

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              "cssSelector": "=<span style=\"font-weight: normal; font-style: normal; background: none;\">Well, from what I know, it depends what you're hoping to get out of it . Like , honestly, if your 15 is working fine , why bother ? I mean , my brother just got the 15 and he's already talking about the 16 , it's crazy . He's always gotta have the newest thing, you know ? Waste of money, probably . Unless there's something *really* different, a game changer , a must-have feature.. . which there probably isnt, but marketing makes you think there is! I upgraded from a 13 to a 14, and honestly? Didn't notice much difference . The camera was *slightly* better, I guess , but not a huge jump. Maybe </span>",
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        "content": "### 🔹 **SECTION 1: Define and Trigger the Search**\n\n**🕒 Trigger + ✏️ Input Field**\n\n| Node | Name                           | Icon | Purpose                                                                                 |\n| ---- | ------------------------------ | ---- | --------------------------------------------------------------------------------------- |\n| 🕒   | `Trigger: Run Periodically`    | ⏰    | This node starts the workflow automatically based on a schedule (e.g., every 24 hours). |\n| ✏️   | `Input: Define Search Keyword` | 📝   | Manually input the product name or topic to monitor (e.g., \"iPhone 16\").                |\n\n#### 💡 Why it's useful:\n\nThis section ensures your automation runs regularly and searches for the **right product/topic** you’re interested in monitoring.\n\n---\n\n"
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        "content": "### 🔹 **SECTION 2: Scrape Quora Discussion Links via Google**\n\n**🌐 Scrape Google → 🧾 Extract Links → 🔧 Clean Links**\n\n| Node | Name                              | Icon | Purpose                                                                                   |\n| ---- | --------------------------------- | ---- | ----------------------------------------------------------------------------------------- |\n| 🌐   | `Scrape: Google Search Results`   | 🌍   | Performs a Google search using Bright Data's Web Unlocker (`site:quora.com {{keyword}}`). |\n| 📄   | `Extract: Links from Google HTML` | 🧩   | Extracts thread URLs from Google’s search result HTML using an HTML Extractor.            |\n| 🔧   | `Code: Format Thread URLs`        | 🛠️  | Cleans up and structures the extracted thread links into usable format for next steps.    |\n\n#### 💡 Why it's useful:\n\nThis part **finds actual Quora discussions** relevant to your keyword (like “iPhone 16”), even bypassing limitations like logins or anti-bot measures using Bright Data.\n\n---\n\n"
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        "content": "### 🔹 **SECTION 3: Scrape Actual Quora Answers**\n\n**🌐 Scrape Threads → 📄 Extract Answer Content**\n\n| Node | Name                               | Icon | Purpose                                                   |\n| ---- | ---------------------------------- | ---- | --------------------------------------------------------- |\n| 🌐   | `Scrape: Individual Quora Threads` | 🌐   | Fetches full HTML of each Quora thread using Bright Data. |\n| 📄   | `Extract: Answers from Threads`    | 📑   | Extracts useful answers/comments from each thread’s HTML. |\n\n#### 💡 Why it's useful:\n\nThis section dives deep into each Quora thread and **extracts actual user feedback**, questions, and opinions — the real goldmine for consumer insights.\n\n---\n\n"
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        "content": "### 🔹 **SECTION 4: Summarize & Store the Insights**\n\n**🤖 AI Summary → 📊 Google Sheet**\n\n| Node | Name                             | Icon | Purpose                                                                                        |\n| ---- | -------------------------------- | ---- | ---------------------------------------------------------------------------------------------- |\n| 🤖   | `Summarize: AI Feedback Summary` | 🤖   | Feeds all extracted text into OpenAI to generate a human-like summary of consumer feedback.    |\n| 📊   | `Store: Save to Google Sheet`    | 📈   | Saves the summarized output into Google Sheets for record-keeping, reporting, or team sharing. |\n\n#### 💡 Why it's useful:\n\nThis section **turns raw user opinions into actionable insights** and logs them automatically in a spreadsheet, making it easy for marketers, product teams, or analysts to access.\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 FORUM MONITORING & INSIGHT GENERATOR**\n\n**Powered by Bright Data, n8n, OpenAI, and Google Sheets**\n\n---\n\n### 🔹 **SECTION 1: Define and Trigger the Search**\n\n**🕒 Trigger + ✏️ Input Field**\n\n| Node | Name                           | Icon | Purpose                                                                                 |\n| ---- | ------------------------------ | ---- | --------------------------------------------------------------------------------------- |\n| 🕒   | `Trigger: Run Periodically`    | ⏰    | This node starts the workflow automatically based on a schedule (e.g., every 24 hours). |\n| ✏️   | `Input: Define Search Keyword` | 📝   | Manually input the product name or topic to monitor (e.g., \"iPhone 16\").                |\n\n#### 💡 Why it's useful:\n\nThis section ensures your automation runs regularly and searches for the **right product/topic** you’re interested in monitoring.\n\n---\n\n### 🔹 **SECTION 2: Scrape Quora Discussion Links via Google**\n\n**🌐 Scrape Google → 🧾 Extract Links → 🔧 Clean Links**\n\n| Node | Name                              | Icon | Purpose                                                                                   |\n| ---- | --------------------------------- | ---- | ----------------------------------------------------------------------------------------- |\n| 🌐   | `Scrape: Google Search Results`   | 🌍   | Performs a Google search using Bright Data's Web Unlocker (`site:quora.com {{keyword}}`). |\n| 📄   | `Extract: Links from Google HTML` | 🧩   | Extracts thread URLs from Google’s search result HTML using an HTML Extractor.            |\n| 🔧   | `Code: Format Thread URLs`        | 🛠️  | Cleans up and structures the extracted thread links into usable format for next steps.    |\n\n#### 💡 Why it's useful:\n\nThis part **finds actual Quora discussions** relevant to your keyword (like “iPhone 16”), even bypassing limitations like logins or anti-bot measures using Bright Data.\n\n---\n\n### 🔹 **SECTION 3: Scrape Actual Quora Answers**\n\n**🌐 Scrape Threads → 📄 Extract Answer Content**\n\n| Node | Name                               | Icon | Purpose                                                   |\n| ---- | ---------------------------------- | ---- | --------------------------------------------------------- |\n| 🌐   | `Scrape: Individual Quora Threads` | 🌐   | Fetches full HTML of each Quora thread using Bright Data. |\n| 📄   | `Extract: Answers from Threads`    | 📑   | Extracts useful answers/comments from each thread’s HTML. |\n\n#### 💡 Why it's useful:\n\nThis section dives deep into each Quora thread and **extracts actual user feedback**, questions, and opinions — the real goldmine for consumer insights.\n\n---\n\n### 🔹 **SECTION 4: Summarize & Store the Insights**\n\n**🤖 AI Summary → 📊 Google Sheet**\n\n| Node | Name                             | Icon | Purpose                                                                                        |\n| ---- | -------------------------------- | ---- | ---------------------------------------------------------------------------------------------- |\n| 🤖   | `Summarize: AI Feedback Summary` | 🤖   | Feeds all extracted text into OpenAI to generate a human-like summary of consumer feedback.    |\n| 📊   | `Store: Save to Google Sheet`    | 📈   | Saves the summarized output into Google Sheets for record-keeping, reporting, or team sharing. |\n\n#### 💡 Why it's useful:\n\nThis section **turns raw user opinions into actionable insights** and logs them automatically in a spreadsheet, making it easy for marketers, product teams, or analysts to access.\n\n---\n\n## 🎁 **Benefits of This Workflow**\n\n✅ Automates tracking of online discussions around product launches\n✅ Bypasses anti-bot walls using Bright Data\n✅ Uses AI to summarize user feedback — no manual reading required\n✅ Saves results to Google Sheets for easy collaboration\n✅ Fully modular — change the topic 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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