unbrowse-ai/unbrowse

Registry

Summary

Unbrowse for Openclaw is a self-learning API skill generator for the openclaw/clawdbot framework. It automatically discovers APIs from browser traffic and generates Claude Skills on the fly to call APIs directly, achieving up to 100x faster local execution.

Key features

• Self-learning API skill generator
• Automatic API discovery from browser traffic
• On-the-fly Claude Skill generation
• Direct API calls for 100x faster local execution
• Built for the openclaw/clawdbot framework

Use cases

• Automating API integration for clawdbot agents
• Reverse engineering web applications for automation
• Generating local skills from browser interactions
• Accelerating API calls in agent workflows
• Building plugins for the Openclaw ecosystem

README excerpt

# Unbrowse > **The full Unbrowse client is open and auditable.** The entire client runtime — capture, route inference, indexing, execution, the SDK, and the wallet/auth/signing layer — is MIT and readable here, so you can verify what it does on your machine rather than trust a black box. Only the backend (marketplace, settlement) and the web app stay private. The CLI ships unsigned and readable by design: trust comes from being able to read the code, not from a signature. See [docs/OPEN-SOURCE-NOTICE.md](./docs/OPEN-SOURCE-NOTICE.md) for the exact open/private split. Unbrowse is a local Model Context Protocol (MCP) server, CLI, and TypeScript SDK that turns websites into reusable API routes for agents. It learns callable routes from real browsing, keeps credentials local, and shares only sanitized route metadata with the marketplace when you explicitly publish. One agent learns a site once. Every later agent gets the fast path. On the API-native path Unbrowse is typically ~30x faster and ~90x cheaper than driving a browser, and turns repeated browser work into reusable, payable route assets. Peer-reviewed benchmark across 94 live domains: **3.6× mean speedup, 5.4× median, 40× fewer tokens** — see [arXiv:2604.00694](https://arxiv.org/abs/2604.00694). For the release-coverage methodology (corpus shape, rubric, current numbers), see [docs/benchmarks.md](./docs/benchmarks.md). On adversarial, JavaScript-challenge-gated anti-bot content, a reproducible nine-post retrieval benchmark across three communities of a major social platform — ground-truthed against the platform's own data — recovers the real content on **9/9 posts where a naive HTTP client is blocked on every request (HTTP 403)**. The benchmark is re-runnable and reports the naive-vs-Unbrowse head-to-head direc

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