30 Track Regional Sentiment

### 🤖 **SECTION 2: Scrape Data and Structure it**

#### 🧩 **Node:**

1. **🤖 AI Agent: Scrape Yelp Weather Posts**

   * *New Name:* `🤖 Agent: Scrape Yelp Weather Posts (Los Angeles)`

##### 🧠 **Sub-Nodes Inside the Agent:**

* **🧠 OpenAI Chat Model**

  * *New Name:* `💬 AI Model: Process Weather Data`

* **🌐 MCP Client: Scrape Weather Posts**

  * *New Name:* `🌐 MCP Client: Scrape Weather Posts from Yelp`

* **🧾 Structured Output Parser**

  * *New Name:* `📝 Parse Scraped Data into JSON`

#### 💡 **What Happens:**

* **AI Agent**:
  The **AI agent** uses the **Bright Data MCP Client** to **scrape weather-related posts** from Yelp about Los Angeles.

* **Sentiment Analysis**: The AI processes the data to identify the sentiment of the weather-related posts (e.g., positive, negative, or neutral).

* **Data Parsing**: After scraping the posts, the **output** is structured into a **JSON format** so it can be used for further analysis or task creation.

#### ✅ **How You Can Use It:**

* This section **automates data scraping** from Yelp.
* It also provides **structured JSON data** that is easier to work with for further analysis.
* **No technical skills required**, just input the URL and let the agent scrape and structure the data automatically.