About Us

About

About Jetscrape

The web is the largest open data source ever created — but accessing it is becoming harder every day.

Modern websites are increasingly complex.
Bot traffic is rising.
AI systems and automation tools are creating an unprecedented demand for reliable web data.

Yet extracting clean, structured information from the modern web is still fragile, slow, and expensive.

Jetscrape was built to change that.


Our Journey

Our story began while building large-scale data platforms like Civar.com and DataLocal.ai.

To power those systems we had to solve one of the hardest problems in software:

Collecting massive amounts of reliable data from thousands of constantly changing websites.

The only way forward was to build our own crawling infrastructure.


Built for Speed

Our engine is written in Go, designed from the ground up for:

  • High performance
  • Massive parallel crawling
  • Reliability under changing websites
  • Scalable data extraction pipelines

Over the years it has been tested and refined through demanding real-world data projects across global markets.


What Jetscrape Does

Jetscrape brings that infrastructure to developers through a simple API.

With a single request you can turn any public webpage into structured data.

You can extract:

  • Full page content as Markdown
  • Clean HTML output
  • AI-optimized structured content
  • Specific page sections using intelligent selector detection

No crawler maintenance.
No fragile scraping scripts.
No infrastructure headaches.

Just data.


Why It Matters

As AI, automation, and data-driven products continue to grow, the demand for web data is exploding.

Jetscrape helps teams:

  • Build AI applications
  • Power data pipelines
  • Automate research workflows
  • Extract structured knowledge from the web

Our Vision

Make web data instantly accessible infrastructure for everyone.

The internet is full of valuable information.
Jetscrape helps developers unlock it.


Start Building

Explore the API and start extracting structured web data in minutes.

Read the Docs
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