Comparison
Unbrowse vs Browser Use
Browser Use connects LLMs to a live browser with vision and action. Unbrowse eliminates the browser entirely — agents call the same APIs websites use internally, cutting cost from $0.53 to $0.005 per task.
What is Browser Use?
Browser Use is an open-source framework that lets LLMs control a browser with vision-based understanding and DOM interaction. It wraps Playwright and adds LLM-driven navigation loops.
Where Browser Use falls short for AI agents
- Every step requires an LLM call to interpret a screenshot or DOM — compounding cost
- Vision model inference adds 2-10 seconds latency per action
- Token usage scales with page complexity (screenshots are thousands of tokens)
- Still fundamentally browser automation — subject to CAPTCHAs and rate limits
- Multi-step tasks multiply the per-step cost and latency
Head-to-head comparison
| Dimension | Unbrowse | Browser Use |
|---|---|---|
| Architecture | API-first: discovers internal APIs, calls them directly | Browser + LLM loop: vision/DOM interpretation per step |
| Speed (mean) | 950 ms per task (warmed cache)arXiv:2604.00694, 94 domains | 3,404 ms per task (Playwright baseline) |
| Speedup | 3.6x faster (mean), 5.4x faster (median)arXiv:2604.00694 | 1x baseline |
| Cost per task | $0.005 (cached API call)90-96% reduction | $0.53 (browser automation) |
| Token usage | ~200 tokens (structured JSON response)40x reduction | ~8,000 tokens (DOM/HTML per page) |
| Setup | curl -fsSL https://unbrowse.ai/install.sh | bash (one command) | pip install browser-use + Playwright browsers + LLM API key |
| Output format | Structured JSON from real API responses | Raw HTML/DOM that agents must parse |
| Shared knowledge | Skill registry: discoveries shared across all agents | None: every user re-discovers the same site patterns |
| Authentication | Auto-injects cookies from real browser profiles | Manual login flows driven by LLM |
| Anti-bot resistance | Real API calls with real cookies — indistinguishable from user traffic | Full browser fingerprint but LLM-driven patterns are detectable |
Speed and cost data from "Internal APIs Are All You Need" (arXiv:2604.00694) — benchmark across 94 live domains.
How Unbrowse works differently
Browser Use works one layer too high for AI agents. It automates the rendered HTML: parsing DOMs, clicking buttons, and reading text that exists for human eyes, which costs roughly 8,000 tokens and several seconds on every page. The data your agent actually needs was already structured as JSON one layer below, returned by the internal APIs the site uses to render itself. Skipping the DOM and calling those APIs directly cuts out the translation entirely.
Unbrowse captures those internal endpoints from one real browsing session, reverse-engineers their schemas and auth, and stores them as reusable skills in a shared marketplace of 600+ domains and 18,000+ endpoints. The next call from any agent skips discovery and runs as a direct HTTP request, returning JSON in roughly 200 tokens instead of 8,000. The shared registry is the difference between every team paying the rendering tax and every team paying it once.
Try Unbrowse now
One command to install. Works with Claude Code, Cursor, Windsurf, and any agent that can call a CLI.
Other comparisons
vs Playwright
Playwright automates browsers with a powerful API, but every action requires rendering a full page. Unbrowse discovers the internal APIs behind those pages so AI agents call them directly — 3.6x faster on average, 40x fewer tokens.
vs Puppeteer
Puppeteer gives fine-grained Chrome control via CDP, but agents still pay the full rendering cost. Unbrowse replaces that with direct API calls — same data, 3.6x faster, 40x fewer tokens, no browser process required.
vs Crawl4AI
Crawl4AI crawls and converts pages to LLM-friendly markdown. Unbrowse skips the page entirely — it calls the internal APIs behind the content, returning structured JSON instead of scraped text.