25 Gather Feature Requests

## 🤖 **Section 2: Scrape and Structure User Reviews**

🛠️ **Core Nodes**:

* `🤖 Scrape Reviews using Agent`
* `🌐 Bright Data MCP Scraper`
* `🧠 OpenAI Chat Model (Optional)`
* `🧾 Parse Structured Agent Output`

### 🔍 What Happens Here:

This section uses **AI + Bright Data** to fetch review content, extract important insights, and prepare structured output.

* 🌐 **Agent Node**:
  Launches your custom scraper (via Bright Data MCP) to visit the site and collect reviews.

* 🧾 **Output Parser**:
  Cleans up the output to return just the **structured review objects** like:

  ```json
  {
    "title": "...",
    "username": "...",
    "review_text": "...",
    "date": "..."
  }
  ```

* 🧠 **(Optional AI Model)**:
  If used, this can:

  * Classify reviews into categories (e.g., UI issue, billing issue)
  * Summarize long reviews
  * Extract common themes or keywords

### 💡 Beginner Tip:

This is where the **heavy lifting happens** — the agent goes out and scrapes the content **so you don’t have to copy-paste reviews manually.**

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