ai-agentPro — €97
17 Track Stock Levels
100/100
17 NodesBeschreibung
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.
---Benötigte Integrationen (10)
Schedule Trigger
Schedule Trigger
Set
Set
Agent
Agent
Lm Chat Open AI
Lm Chat OpenAI
If
If
Gmail
Gmail
No Op
No Op
Sticky Note
Sticky Note
Output Parser Autofixing
Output Parser Autofixing
Output Parser Structured
Output Parser Structured
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