Dapi

Dapi turns a plain request for web data into a dataset you can prove. You describe what you need the way you'd brief a freelancer (the site, the columns, a sample row, any rules) by typing it, uploading a PDF, or just saying it. Dapi then investigates how the site actually serves its data. It watches the page's network traffic before reading any HTML, the way an engineer opens developer tools, and picks the cheapest reliable way in. It writes the extraction, tests it against your sample rows, and shows you a plan with the time and cost. When you press Go, it runs on Apify. Every value comes with a receipt: the exact server response or captured page it came from, the value marked, when it was captured, and a SHA-256 seal you can re-check. Rows are counted against the source's own total, and anything missing is named with the reason. Dapi never quietly hands over a short dataset. Who it's for: people who need web data they can stand behind but don't write scrapers. A compliance officer checking a public register, an analyst tracking competitors, a researcher, a data engineer, a team gathering AI training data that has to show where every value came from. Today's AI scraping tools flatten pages to text and hand back values with no evidence. Dapi is live at https://dapi.fly.dev. Anyone can open the finished jobs and check their receipts, and anyone signed in with GitHub can run three jobs of their own.