Introduction
Extralt is the data layer for ecommerce intelligence.
Provide a URL, our AI agent builds and compiles a crawler taylored to that website, delivering structured product data at scale.
We build a pipeline on top of this to go from raw data to ecommerce intelligrance.
Who is Extralt for?
Extralt is for teams that need reliable, structured ecommerce data:
- Price intelligence -- monitor competitor pricing across the open web
- Catalog enrichment -- fill gaps in your product data with external sources
- Competitive analysis -- track availability, assortment, and positioning
- Market research -- understand product landscapes across retailers and regions
What can you do with it?
Extralt's pipeline has four stages. Extract is available today. The remaining stages are on the roadmap.
| Stage | What it does | Status |
|---|---|---|
| Extract | Crawl sites and extract structured product data | Available now |
| Enrich | Normalize, classify, and generate fine-grained attributes | Coming soon |
| Extend | Build product relationships and merge variants | Coming soon |
| Explore | Search, compare, and analyze across sources | Coming soon |
Extract alone is a powerful ecommerce data extraction platform. When Enrich launches, it unlocks the full product intelligence pipeline.
How it works
Traditional scrapers break when websites change. AI-powered scrapers are too slow and expensive to scale. Extralt is a third way: crawlers generated by AI but run as compiled Rust code, combining adaptability with speed.
You provide a URL and a country. Extralt builds a robot (an AI-generated crawler) that understands the site's structure. Then you create runs (manually or on a recurring schedule) to extract structured product data.