About
Build with product data. Leave the scraping to us.
Extralt is built for teams that need recurring ecommerce data without turning crawler maintenance into a second product.
Why we built it
The page is only the beginning.
A working scraper gets you through the first collection. Then a store changes its pages, another names its fields differently, and the data needs to be refreshed. The work keeps coming back.
We built Extralt around that recurring job. AI generates a custom crawler for the website. We validate it, then run compiled code for repeated collection.
Extraction gives us the observations. Enrichment makes the product data consistent and connects equivalent variants across stores. Explore makes the resulting dataset useful for comparisons and questions.
What we hold to
Three choices behind the product.
Ecommerce, in detail.
Products, variants, listings and offers deserve a shared model. We focus on ecommerce so your team spends less time reconciling every store’s format.
The original page matters.
A price needs a market and an observation time. A comparison needs the records behind it. Keep those details available when the answer needs checking.
Your data stays useful.
Use the dashboard, the API and query tools, or export extracted records. The dataset can serve the application and analysis your team is building.
Extralt SAS · France
Built around the work your team repeats.
We focus on the parts of ecommerce data work that keep returning: collection, cleanup, matching, and refreshes. Your team should be building on that data.
Have a source or workflow you want to discuss? Tell us what you need to collect and how you plan to use it.
Start with your stores
Start with a store you care about.
Give us a public product or catalog URL and its market. We handle the collection; you decide what to build with the data.
Start for free · No credit card · Plans from $30/month