Extractor vs Postman

“Schema-driven extraction with LLM fallback is exactly right. Traditional scrapers break on every site redesign — Extractor adapts because it understands the content semantically. The TypeScript-first approach with strong typing on outputs is chef's kiss for building data pipelines.”

“Still the best API development environment. Postbot generating tests from your API schema saves hours. Collections shared across teams are essential.”

“LLM extraction costs add up fast at scale. But for the use cases where you need it — scraping sites with unpredictable layouts, extracting from pages that change frequently — the reliability improvement over CSS selectors easily justifies the token spend.”

“It has gotten bloated over the years but the core functionality is unmatched. The AI features are genuinely useful, not just checkbox items.”

“I have been using this to pull structured data from competitor landing pages and product directories. The schema definition is intuitive and the extraction quality is surprisingly consistent even across wildly different page designs.”

“In an era of AI agents that can call APIs directly, do we still need a GUI for API testing? The future might be AI testing APIs autonomously.”