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Introduction

Extralt is the data layer for ecommerce intelligence.
Provide a URL, and Extralt returns structured product data at scale. Popular ecommerce sites are already covered by production crawlers. For new sites, our AI generates and compiles a crawler in minutes. We build a pipeline on top of this to go from raw data to ecommerce intelligence.

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 and Enrich are available today, Extend is in beta, and Explore is on the roadmap.

StageWhat it doesStatus
ExtractCrawl sites and extract structured product dataAvailable now
EnrichNormalize, classify, and generate fine-grained attributesAvailable now
ExtendPublish final analytical tables and match exact Variants across storesBeta
ExploreSearch, compare, and analyze across sourcesComing soon

Extract alone is a powerful ecommerce data extraction platform. With Extend now in beta, the full product intelligence pipeline is taking shape.

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.