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ai-agentPro — €97

17 Track Stock Levels

100/100
17 Nodes

Beschreibung

Workflow with 17 nodes using Schedule Trigger, Set, Agent...

Setup-Anleitung

### 🤖 **SECTION 2: Scraping Product Data from Amazon**

> **💡 Check the current stock status of the product on Amazon.**

#### 🧩 Nodes:

1. 🤖 **Scrape Product Data (via Agent)** (AI Agent)
2. 🔌 **OpenAI (Chat)** (OpenAI Chat Model)
3. 📱 **Bright Data MCP (Scraper)** (MCP Client)
4. 🧠 **Parse Scraped Output** (Structured Output Parser)

#### 🧠 What This Section Does:

* Uses **AI Agent** to coordinate the scraping process.
* The **MCP Client** uses Bright Data's Mobile Carrier Proxy to load Amazon like a real user from a mobile device (this avoids blocks and sees mobile-specific info like “In Stock” messages).
* The product page is scraped (title, price, availability, etc.).
* Finally, **Structured Output Parser** cleans the result into a usable format, like this:

  ```json
  {
    "availability": "In Stock",
    "title": "UGREEN USB Hub",
    "price": 9.98
  }
  ```

#### 🧑‍🏫 Why It’s Important:

You’re using **cutting-edge scraping** that mimics human behavior (via MCP), plus **AI** to understand and clean up the data. It saves you from dealing with messy HTML or blocked pages.

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Benötigte Integrationen (10)

Schedule Trigger

Schedule Trigger

Set

Set

Agent

Agent

Lm Chat Open AI

Lm Chat OpenAI

If

If

Gmail

Gmail

API Key

No Op

No Op

Sticky Note

Sticky Note

Output Parser Autofixing

Output Parser Autofixing

Output Parser Structured

Output Parser Structured

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