WebAnything: From the Wild Web to Scalable Agent Environments
Tianci Xie, Zikun Cai, Chaoyun Zhang, Pinxue Guo, Bingxuan Li, Rui Zheng, Hang Yan
Zhejiang University · Nanyang Technological University · Shanghai Qiji Zhifeng Co., Ltd
Published October 27, 2026 · on the feed October 30, 2026 · ▲ 29 · arXiv 2610.37786
The abstract
Web agents require diverse, executable, and resettable website environments for reproducible training and evaluation. Human-assisted mirrors demand per-site engineering, while generative construction can diverge from specified real websites. Capture-and-replay preserves observations, with interaction coverage constrained by captured content and replay capabilities. We present WebAnything, a fully automated framework that reconstructs source-grounded, reusable Web environments from real URLs without per-site manual implementation or repair after initial setup and authorization. An Explorer-Builder collects browser-observable structures, resources, and interaction outcomes; an independent verifier checks frozen candidates and guides local repair or targeted source recapture. We construct 244 website artifacts across 14 application domains and 53 categories, supporting 12,984 executed and accepted tasks. Compared with human-assisted WebHarbor, WebAnything achieves higher aggregate scores on three fidelity metrics, with 12 wins, two ties, and no losses in a blind audit. Fine-tuning Qwen3.5-9B on 5,856 interaction trajectories improves REAL success by 9.9 percentage points, Odysseys-Easy Rubric Avg and Task Avg by 6.25 and 6.32 percentage points, and WebArena-Verified Overall success by 13.33 percentage points under the fixed harness. Code: https://github.com/china-qijizhifeng/Web-Anything
The Brief
2:11A short podcast summary of the paper. Written and voiced by AI.
Transcript
WebAnything. From the Wild Web to Scalable Agent Environments. By Tianci Xie and six others, from Zhejiang University, Nanyang Technological University, and one other institution. Published on the twenty-seventh of October.
Web agents need website environments to train and be evaluated in, and for that work to be reproducible those environments have to be diverse, executable, and resettable. Each existing route falls short somewhere. Human-assisted mirrors demand engineering for every site. Generative construction can drift away from the real website it was meant to match. Capture-and-replay preserves what was observed, but interaction coverage is limited by what was captured and what the replay can do.
WebAnything is a fully automated framework that reconstructs Web environments from real URLs. The environments are source-grounded, meaning tied to the real site, and reusable. After initial setup and authorization, no site needs manual implementation or manual repair.
Two roles do the work. An Explorer-Builder collects what a browser can observe of the site: its structures, its resources, and the outcomes of interacting with it. Then an independent verifier checks the frozen candidate environment. Where it finds problems, it guides either a local repair or a targeted recapture from the source site.
With it, the authors built two hundred and forty-four website artifacts across fourteen application domains and fifty-three categories, supporting twelve thousand nine hundred and eighty-four tasks that were executed and accepted.
Against the human-assisted WebHarbor, WebAnything achieves higher aggregate scores on three fidelity metrics. In a blind audit it records twelve wins, two ties, and no losses.
The environments were also used for training. Fine-tuning Qwen3.5-9B on five thousand eight hundred and fifty-six interaction trajectories improves success on REAL by nine point nine percentage points. On Odysseys-Easy, the Rubric Avg rises by six point two five points and the Task Avg by six point three two points. And on WebArena-Verified, Overall success improves by thirteen point three three percentage points, under the fixed harness.
What WebAnything changes is where the human effort sits. Instead of engineering each site by hand, the effort goes into setup once, and after that an explorer and a verifier between them build, check and repair each environment from the real page.
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