I am genuinely excited to share this one. If you have been curious about what the awaBerry Smart Automation Framework can actually do in practice — beyond the product page descriptions — this walkthrough is for you.
In this tutorial I build an automated price tracker for Dior lipsticks at douglas.de from scratch, using nothing but plain-English instructions in the awaBerry dashboard. No Python. No JavaScript. No Playwright configuration files. I describe what I want the automation to do, the Smart Automation Framework generates the script, I set a schedule, and it runs — reliably, repeatedly, at zero AI token cost after the initial generation.
What This Tutorial Covers
The walkthrough focuses on one of the most powerful capabilities in the Smart Automation Platform: intelligent web automation. I show you how to:
- Create a new automation project in the awaBerry dashboard
- Describe the scraping goal in plain English — target site, target data, output format
- Review and trigger the generated automation script on a connected device
- Set up a repeating schedule so the price check runs automatically every day
- Receive results without touching the device or re-describing the task
The lipstick price tracker is deliberately a real-world, practical example. Douglas.de uses a modern single-page application frontend — exactly the kind of dynamic content that makes traditional scraping difficult. The Smart Automation Framework handles it by generating headless browser logic (via Playwright) automatically from the description. What would normally require a developer and several hours of debugging takes a few minutes in awaBerry.
Why I Chose This Example
The Smart Automation Platform is a genuinely new kind of tool, and I wanted an example that would make its value immediately clear to people who have never written an automation script. Price monitoring is something almost everyone understands — you want to know when the thing you want goes on sale. The fact that awaBerry can set this up on a local device, running on a schedule, without any cloud dependency or developer involvement, is what makes the demonstration compelling.
The same approach applies to any structured web data: competitor pricing, availability tracking, research literature monitoring, news aggregation. The framework does not care what the content is — it cares about what you described.
Watch on YouTube: https://www.youtube.com/watch?v=KohhNN5xrPc
Ready to build your own automation? Explore the Smart Automation Framework →
