Capalyze
ChatGPT for datavores: scrape → ask → visualize
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Capalyze combines real-time web scraping with a spreadsheet and an AI analyst. It pulls live data from websites into Univers, its spreadsheet engine, then lets the user ask questions about that data in natural language, build interactive tables and charts, and slice, filter, and export the results.
The whole loop, gathering data, exploring it, and presenting it, happens in one place rather than across a scraper, a spreadsheet, and a BI tool.
It is aimed at analysts, researchers, and operators who need data that lives on the web, prices, listings, directories, and want to collect and analyse it without writing scraping code or moving between tools.
AI-assisted draft, human-reviewed before publishing — see how we choose & review tools.
Why we picked it
Capalyze stood out for closing the gather-explore-present loop entirely — live scraping feeding straight into a spreadsheet you question in plain English is worth naming against tools that make you scrape in one place and analyze in another.
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