FAQ from Scrap.so
What exactly is Scrap.so?
Scrap.so is the first AI-powered employee capable of independently navigating websites and extracting targeted data without manual intervention.
How does Scrap.so handle different types of websites?
It leverages AI models and browser automation to access both static and dynamic sites—including those built with JavaScript frameworks—ensuring broad compatibility across the modern web.
Is there a release timeline for the full version?
The initial beta version is already in development, with plans to launch within the next 2–3 weeks, pending final testing and feedback.
Why purchase during the beta phase?
Beta buyers enjoy significant cost savings, lifetime renewal discounts, and direct influence over upcoming features. You also support an independent developer building innovative AI tools.
Is it a one-time payment model?
Yes—the desktop app requires only a single upfront payment. Future subscription-based web versions may be introduced, but the core product remains license-based.
Which API keys are required?
You’ll need an OpenAI API key for AI processing and a Google Custom Search API key to enable web discovery. Step-by-step guidance is included for beginners.
Can Scrap.so access password-protected sites?
No, it cannot bypass login walls or access private sections of websites. It operates only on publicly available content.
What happens after my license expires in one year?
Your current version remains fully functional, but you won’t receive new updates or feature upgrades unless you renew at a special discounted rate.
Does Scrap.so work on Mac and Windows?
Absolutely—native apps are being tested for both macOS and Windows, ensuring smooth performance across major operating systems.
Are refunds available?
Yes. If you're unsatisfied for any reason—even after using the tool—you can contact the creator directly for a full refund.
What does the name “SCRAP” stand for?
SCRAP stands for Smart Collection & Retrieval AI Processor, reflecting its mission to intelligently gather and structure online data.