UltraCrawler crawls, cleans, and categorizes the open web, then licenses that data directly to AI companies. We handle the unglamorous, hard part — sourcing and structuring — so AI teams can focus on building models, not crawling infrastructure.
Every major AI model needs web‑scale data to train, fine‑tune, or ground its answers. Most AI companies either scrape it themselves — expensively and inconsistently — or go without. UltraCrawler exists to close that gap: we crawl broadly, license responsibly, and deliver data that's actually ready to use.
Every dataset we deliver is de‑duplicated, stripped of boilerplate, categorized by topic and quality, and traceable back to its source — so your team can trust what you're training on.
We'd rather license 10,000 clean, well‑categorized pages than a million noisy ones.
We crawl within robots.txt and licensing terms, and work directly with publishers who choose to participate.
Continuous re‑crawls keep licensed datasets current, not frozen at some past snapshot.
Every record we deliver is traceable back to its source URL, timestamp, and crawl version.
AI teams were spending more on ad hoc scraping and cleanup than on modeling. UltraCrawler started as infrastructure to fix that at the source.
We built a crawler that handles JavaScript‑heavy sites, de‑duplicates near‑identical pages, and understands site structure — not just link‑following.
UltraCrawler now delivers structured, categorized, quality‑scored web data straight into AI training and retrieval pipelines via API, bulk export, or custom feed.
Request a sample dataset and see the structured output for yourself.