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I Built an AI Extraction API, Got Zero Paying Users, Then Rebuilt the Whole Engine

DEV Community·Solomon Williams·29 days ago
#IGGyjerF
#ai#api#divparser#fullscreen#extraction#html
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I'm Solomon, founder of DivParser — an AI-powered web extraction API. I launched it a few months ago, got users testing it, and ended up with zero paying customers. This is the honest story of what went wrong, what I rebuilt, and what I discovered along the way. What DivParser Does You give DivParser a URL or raw HTML. You describe the data you want in plain English (or use Nestlang, our typed schema language). It returns clean, structured JSON — no selectors, no regex, no scraper maintenance. curl -X POST "https://api.divparser.com/v1/scrapes" \ -H "Authorization: Bearer YOUR_KEY" \ -H "Content-Type: application/json" \ -d '{ "url": "https://example.com/products", "schema": "Extract product name, price and availability", "pageType": "LISTING" }' Enter fullscreen mode Exit fullscreen mode You get back: { "results" : [ { "name" : "Widget Pro" , "price" : 49.99 , "availability" : true }, { "name" : "Widget Lite" , "price" : 19.99 , "availability" : true } ] } Enter fullscreen mode Exit fullscreen mode Simple.…

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