ai-agentPro — €97
10 Track Email Campaign Performance
100/100
17 NodesBeschreibung
Workflow with 17 nodes using Schedule Trigger, Set, Agent...
Setup-Anleitung
## 🤖 **🔹 SECTION 2: Scrape & Analyze with AI Agent** ### ✅ **Nodes in this Section** | Node | Name | | ---- | ------------------------------------------------ | | 🤖 | **Agent: Scrape & Analyze Campaign Performance** | | 🧠 | **LLM: Summarize & Format** | | 🌐 | **Bright Data MCP: Scrape Report** | | 🗂️ | **Parse Scrape Output** | --- ### 💡 **What Happens Here** * **🤖 Agent: Scrape & Analyze Campaign Performance** This is your **AI Agent** — it does the smart part: * Talks to the **Bright Data MCP Tool** to scrape the ESP report page. * Uses an **LLM** (OpenAI Chat Model) to process the scraped data. * Passes the result to an **Output Parser** to turn messy text into clean, structured data. * **🌐 Bright Data MCP: Scrape Report** Bright Data logs in, navigates to your campaign report page, and **scrapes live open/click numbers**. * **🧠 LLM: Summarize & Format** The Chat Model turns raw scraped info into easy-to-read Markdown or JSON. This is like having a mini data analyst! * **🗂️ Parse Scrape Output** This node extracts the final numbers (open rate, CTR, bounces) so the logic can understand them. --- ### 🎯 **Why It’s Important** ✅ You don’t have to log in manually to get reports. ✅ The AI cleans up messy scraped data. ✅ Makes follow-up decisions possible without human effort. ✅ Works for **any ESP** — if the layout changes, just adjust the scraper. --- ---
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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