Traditional web scraping is a nightmare because websites constantly change, forcing builders to rewrite code. While using AI (large language models) seems like an obvious fix, simply throwing raw website data at them often makes things more painful due to messy HTML. Builders desperately need a reliable way to get structured data without constant maintenance, and current tools aren't quite cutting it.
Opportunity
The 'Robust LLM Extractor' post nails it: everyone who scrapes data hates how often their code breaks, but just dumping raw website code into an AI (like GPT) doesn't magically fix it. Nobody's really owned the problem of building a bulletproof, 'set-it-and-forget-it' API (a way for software to talk to each other) that takes any messy webpage and spits out clean, structured data every single time. Ship a productized service that does exactly this, using smart pre-processing and AI, and you'll capture all the builders tired of late-night scraper fixes.
Evidence
“We've been building data pipelines that scrape websites and extract structured data for a while now. If you've done this, you know the drill: you write CSS selectors, the site changes its layout, everything breaks at 2am, and you spend your morning rewriting parsers. LLMs (large language models, a type of AI) seemed like the obvious fix — just throw the HTML at GPT and ask for JSON. Except in practice, it's more painful than that: Raw HTML is full of navigation elements and other junk.”
Hacker News58 engagementSource
“I’m tired of this AI hype. Every time I open Hacker News, everyone is talking about AI. Why does this bother me? Am I alone? I’ve spent years learning to code, building stuff, reading docs, debugging, scraping through Stack Overflow, etc.”
Hacker News43 engagementSource
“I currently have a Claude Pro monthly subscription ($20) which I use for coding. It's been useful but I'm fatigued from optimising my work around its session limits.”
Hacker News32 engagementSource
“I’ve seen a lot of comments and posts where people have stated they ‘literally’ never write a line of code anymore and was curious as to what people mean when they state this. I just find it quite hard to understand how it can be productive to offload all coding, especially on brownfield projects (existing projects with legacy code).”
Hacker News24 engagementSource
Key Facts
- Category
- automation
- Date
- Signal strength
- 7/10
- Sources
- Hacker News
- Evidence count
- 4
AI-generated brief. Not financial advice. Always verify sources.