About Extralt
Extralt started with a simple frustration: getting reliable product data from the web was harder than it should be.
Traditional scrapers broke constantly. AI scrapers were too slow and expensive at scale. And merchant feeds only showed what sellers wanted you to see, not the ground truth.
I kept thinking there had to be a third way. What if AI could analyze a website once and generate a purpose-built extractor? You'd get the adaptability of AI at build time, then run compiled code at extraction time.
That insight became Extralt. But extraction was just the beginning.
Ecommerce market intelligence
The real opportunity is what comes after extraction: normalizing data to a canonical form, classifying products with standard taxonomies, building relationships across sellers, and making it all queryable.
Today, Extralt provides ecommerce market intelligence. We extract structured product data from across the web. We enrich it into usable intelligence. And we make it explorable.
From raw data to product intelligence to market insight. The data foundation for competitive analysis and agentic commerce.
The 4 E's
Our pipeline is built around four stages: Extract, Enrich, Extend, Explore.
Extract gets raw product data at scale. AI-generated crawlers, compiled code speed. Consistent schema across all sites.
Enrich uses AI to analyze both text and product images. Classify, extract attributes, and match to canonical products.
Extend builds relationships: alternate listings (same product, different sellers), alternative products, complements.
Explore makes it all queryable: semantic search, price comparison, market analytics.
You pay to build (Extract and Enrich). You explore for free (Extend and Explore).
Built for ecommerce
Extralt is designed for the people who need ecommerce intelligence: brands monitoring their products across resellers, retailers tracking competitor pricing, developers building AI shopping agents, analysts researching markets.
If you need structured product data from across the web, you're who we're building for.