How to Use AI Agents in n8n to Extract Resume Data at Scale

In this clip from our **n8n Office Hours at SCALE** webinar, we walk through how to use AI Agents in n8n to extract structured data—like names, emails, skills, and education—from unstructured resume files.

Whether you're dealing with uploaded resumes, unstructured documents, or internal HR automation, this demo shows how to transform raw file input into usable outputs that can feed directly into tools like **Google Sheets**.

What You’ll Learn

- How to normalize and extract text from binary file uploads
- Using switch logic to route based on file type
- Setting up AI agents with system/user prompts
- Structuring outputs for clean integration with spreadsheets
- How to handle AI agent errors gracefully in production flows
- When to use focused chains vs. full AI agent nodes
- Guidance on choosing the right LLM (OpenAI, Gemini, Ollama, etc.)
- Overview of Microsoft Teams integration in n8n

Featured Tools & Nodes

- File Extraction (Binary → Text)
- AI Agent with Output Parser
- Microsoft Teams Trigger (demo-ready)
- Structured outputs into Google Sheets
- Error handling using alternate node paths

Useful Links

- [Join the next Virtual Event](https://lu.ma/n8n-events)

---
Want to connect? Find me on social media and reach out to me directly:
- LinkedIn: https://www.linkedin.com/in/angelgmenendez/
- X: https://x.com/djangelic

If this walkthrough helped, make sure to like and subscribe so you never miss a live demo or expert tip.

Видео How to Use AI Agents in n8n to Extract Resume Data at Scale канала n8n