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Researchers release WebAnything framework for automated web agent training

Researchers introduced WebAnything, a fully automated framework that recreates functional, reusable web environments from real URLs without manual setup. The system uses an Explorer-Builder to capture browser-observable structures and interactions, while an independent verifier ensures accuracy and guides repairs if needed. It supports 244 website artifacts across 14 domains and 53 categories,…

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Key points

  • WebAnything automates web environment reconstruction from real URLs without manual per-site engineering
  • Supports 244 website artifacts across 14 domains and 53 categories, enabling 12,984 executed tasks
  • Fine-tuning Qwen3.5-9B on 5,856 trajectories boosted task success rates by up to 13.33%

Fine-tuning Qwen3.5-9B on 5,856 interaction trajectories improved task success rates by 9.9% (REAL), 6.25% (Odysseys-Easy Rubric Avg), 6.32% (Task Avg), and 13.33% (WebArena-Verified Overall). The code is available on GitHub.

Read the original at arXiv cs.AI · by Tianci Xie, Zikun Cai, Chaoyun Zhang, Pinxue Guo, Bingxuan Li, Rui Zheng, Hang Yan primary sourceOpen source ↗
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