SCRAPR is a new approach to web data extraction. Instead of relying on fragile DOM selectors or heavy browser automation, SCRAPR looks at how modern websites actually load their data and extracts structured responses directly from those sources. The goal is to make web data pipelines faster, more reliable, and easier to maintain. Right now SCRAPR is in early MVP and we’re looking for developers, data teams, and AI builders who need clean structured data from websites.
I built SCRAPR after running into the same problem again and again:
Getting structured data from websites is still way harder than it should be.
Most tools fall into two buckets:
• Browser automation (Puppeteer / Selenium) — slow and expensive
• Traditional scrapers — fragile and constantly breaking
SCRAPR tries a different approach.
Instead of rendering pages or parsing messy HTML, it focuses on how websites actually load their data and extracts structured responses from there.
The goal is to make web data extraction more reliable — especially for AI pipelines and data workflows.
It’s still early (MVP stage), and I’m looking for builders who want to try it and give feedback.