Has anyone ever built an n8n flow that finds suitable candidates (nearby!) for a job posting based on the vacancy details? I’d love to hear more about people’s experiences with this.

I’m currently experimenting with an automation in N8N and I’d love to hear from others who might have done something similar. The goal is to scrape or extract LinkedIn profiles that match a specific job description. In other words: given a vacancy, I’d like to automatically find the right potential candidates. I know there are many different approaches (API, scraping tools, external integrations, etc.) but I’m not sure which way is the most efficient, stable, and solid-proof ✅. Has anyone here already tried something like this? If yes, what worked best for you? And maybe just as important: what pitfalls should I avoid? 🚀 Really curious to learn from your experiences and best practices! Thanks in advance 🙏

In this video, I dive into n8n’s new Text-to-Workflow builder and show you why it’s such a game-changer for saving time. I run through three live examples so you can see what kinds of prompts work well, where it struggles, and how to think about using it the right way. I also cover the limitations and the mindset you need: this tool is a great starting point to cut down build time, but you’ll still need to understand the fundamentals of how workflows work if you want to make them reliable and improve on what the builder gives you. ⚠️ Quick note: This feature hasn’t officially rolled out to everyone yet. So if you update n8n and don’t see the Text-to-Workflow builder, don’t freak out — it’s being rolled out in phases as they continue improving the product.

Hey everyone! 🌟I just checked out an awesome demo featuring Till Simon (gotoHuman) and TheFlowgrammer, and I had to share it with you all! 🎥 They show how to make n8n AI agents way more reliable by adding human-in-the-loop steps. Instead of letting AI run wild on its own, they add checkpoints for review, error handling, and clear guardrails. The result? Automations that are super fast ⚡ but also safe and trustworthy ✅. This is a great reminder that the best AI workflows aren’t just “set and forget” — they combine automation power with smart human oversight. 👉 Check out the full video here: Making n8n AI Agents Reliable (Human-in-the-Loop Demo)

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