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Bibliothek / Berichte, Analysen & Dashboards

Berichte, Analysen & Dashboards

Wöchentliche NPS-Werte aus gescrapten Umfragebewertungen verfolgen

Jede Woche scrapt ein OpenAI-Agent Umfragebewertungen über Bright Data MCP, berechnet den Net Promoter Score und protokolliert ihn in Google Sheets.

Was sie bewirkt

# 📊 Track Satisfaction Scores Workflow ### ✨ *Automatically scrape survey reviews, calculate Net Promoter Score (NPS), and log results to Google Sheets for leadership insights.* --- ## 🔶 Section 1: Set the Target Survey Page ### 🧩 Nodes: * ⏰ Run Weekly NPS Tracker *(Schedule Trigger)* * ✏️ Set Survey Page URL *(Edit Fields)* ### 📝 What This Does: This section controls when and where to begin. * The Schedule Trigger node is set to run automatically — for example, every Monday at 10 AM — to check the latest customer satisfaction reviews from a specific website like Trustpilot. * The Edit Fields node allows you to define or update the target survey/review page URL (e.g., Shopify’s Trustpilot page). You can also set any other optional config like number of reviews, date range, etc. ### 🧠 Why It Matters: * Allows automation instead of manual monitoring. * Keeps your system flexible — you can easily change the source URL without editing the rest of the workflow. --- ## 🤖 Section 2: Scrape Reviews Using AI Agent ### 🧩 Nodes: * 🧠 Scrape Reviews with Agent (MCP) *(AI Agent)* * 🔌 🎯 Prompt & Guide Agent *(OpenAI Chat Model)* * 🌐 Execute Web Scrape (Bright Data) *(MCP Client)* * 📦 Parse Agent Response *(Structured Output Parser)* ### 📝 What This Does: This is where the magic happens — using AI + Bright Data to fetch live reviews. * The AI Agent launches a headless browser via Bright Data's Mobile Carrier Proxy (MCP), mimicking a real user to visit the review site. * It’s guided by an OpenAI model that understands natural prompts, like: *“Extract customer ratings, comments, and dates from Trustpilot”.* * After scraping, the Structured Output Parser turns unstructured HTML into clean JSON data — a list of reviews like: json { "rating": 2, "comment": "..." } ### 🧠 Why It Matters: * Many review sites use JavaScript — Bright Data MCP bypasses anti-bot detection. * No need to write complex scraping code — just describe what you want in plain English. * This is your data foundation — reliable, structured, fresh. --- ## 📈 Section 3: Analyze & Log NPS Results ### 🧩 Nodes: * 📊 Calculate NPS from Ratings *(Code Function)* * 📄 Log NPS to Google Sheet *(Google Sheets)* ### 📝 What This Does: This is your data analysis and reporting layer. * The Function node receives the scraped review data, calculates Net Promoter Score (NPS) by: * Mapping 1–5 sta

Die Schritte

  1. ⏰ Run Weekly NPS Tracker
  2. ✏️ Set Survey Page URL
  3. 🧠 Scrape Reviews with Agent (MCP)
  4. 📊 Calculate NPS from Ratings
  5. 📄 Log NPS to Google Sheet
  6. 🎯 Prompt & Guide Agent
  7. 🌐 Execute Web Scrape (Bright Data)
  8. Auto-fixing Output Parser
  9. OpenAI Chat Model
  10. Structured Output Parser

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