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Making Failure Safe: A Constrained, Verifiable Agent Framework for Open-Web Data Collection

Via ArXiv cs.AI
Thursday, Jul 2, 2026 ยท 4:00AM
Summary

arXiv:2607.00035v1 Announce Type: new Abstract: LLMs and agents can generate web scrapers from natural-language requirements, but direct generation remains unreliable because of dependency errors, broken selectors, schema mismatches, and heterogeneous page structures. We propose a constrained, verif

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