I spent the last 3 hours building something in n8n that would've taken me 3 days to code from scratch.
No web scraping. No API limits. No blocked requests.
Here's what happened:
Google quietly released Context URLs - a way to pull structured content from ANY website without traditional scraping. Think of it as giving AI agents x-ray vision for web content.
In my n8n demo, I'm pulling real-time data from a sites that normally block automated requests. The Context URL feature treats it like a human browser session, but returns structured JSON that my AI agents can actually understand.
The workflow I built:
- Input any website URL
- Google's Context API extracts the meaningful content
- n8n processes it through my custom AI agent
- Output: Clean, structured data ready for analysis
What used to require complex proxy rotations and headless browsers now takes 3 nodes in n8n.
Success rate? Not 100%. But, it still works great!
No rate limits hit. No captchas triggered. No IP blocks.
The real power isn't just avoiding scraping headaches - it's that Context URLs understand the semantic structure of pages.
For anyone building automation workflows, this changes everything. You can now build reliable data pipelines from sites that were previously off-limits.
Who else has tried Context URLs yet? What's your biggest challenge with web data extraction that this might solve?