Verifiable Agent Framework Turns LLM Scrapers into Reliable, Zero‑Token Runs
The paper introduces a constrained, verifiable agent framework that converts LLM‑generated web scrapers into typed JSON configurations, eliminating dependency errors and broken selectors. Tested on 138 tasks, it achieves deterministic execution with zero LLM tokens in the run phase, cutting wall‑clock time for repeated open‑web data collection.