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.
About SCRAPR on Product Hunt
“The data layer for the agentic web”
SCRAPR launched on Product Hunt on March 9th, 2026 and earned 282 upvotes and 36 comments, placing #5 on the daily leaderboard. 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.
On the analytics side, SCRAPR competes within Productivity, API and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how SCRAPR performed against the three products that launched closest to it on the same day.
Who hunted SCRAPR?
SCRAPR was hunted by Sukrit Kumar Vemula. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SCRAPR including community comment highlights and product details, visit the product overview.
Sukrit Kumar Vemula
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.