Extractor
Robust LLM-powered web content extraction
Extractor uses LLMs to reliably extract structured data from any webpage. Unlike traditional scrapers that break when HTML changes, Extractor understands the content semantically.
Panel Reviews
The Builder
Developer Perspective
“Traditional web scraping is brittle. LLM-powered extraction that understands content structure is the right approach. Works on messy pages where CSS selectors fail.”
The Skeptic
Reality Check
“The LLM cost per extraction makes it expensive at scale. But for high-value data extraction where accuracy matters more than cost, it is worth it.”
The Futurist
Big Picture
“Web scraping becomes web understanding. As more AI agents need to read the web, tools like Extractor become essential infrastructure.”
Community Sentiment
“Semantic extraction is the right approach — brittle CSS selectors breaking every deploy is a real pain”
“Tested it on a few gnarly news sites — handles dynamic content way better than BeautifulSoup”
“Love the GitHub repo approach — you can see exactly how it parses and adjust the prompts”
“Finally a scraper that doesn't need me to update selectors every week when sites redesign”