How do you reliably extract pricing & features from SaaS websites?

Hey everyone,

I am not an engineer, but I'm using AI to vibe code an app to solve a massive headache I have at work: comparing SaaS competitors.

The idea is simple: I paste in a few website URLs (like Stripe, PayPal, etc.), and the app automatically builds a clean, side-by-side Pricing & Feature Matrix.

The app itself actually looks and works great so far! But I am hitting a wall with the AI data extraction. Right now, the app reads the text from the pricing/feature pages and asks an LLM to pull out the plans, prices, and features.

But it's failing in a few annoying ways:

• Missing Data: It often misses features that are sitting right there on the page, or it just gives up halfway down a long list.
• Pricing Confusion: It gets super confused by things like monthly vs. annual toggles, interactive sliders, or add-ons.
• Matching things up: When comparing 5 different tools, getting the AI to realize that "Unlimited users" on one site and "No seat caps" on another should be mapped to the exact same row is really inconsistent.

Since I'm just cobbling this together with AI, I don't know the "right" way to solve this.

Has anyone figured out how to reliably extract this kind of messy data from SaaS websites?

• Are there specific tools or APIs that make the websites easier for the AI to read?
• Should I be asking the AI to do this in multiple smaller steps instead of one big prompt?

Any advice for a non-dev trying to hack this together would be amazing.

Thanks!