- name
- browser-cdp
- description
- >
- metadata
- author
- adapted from eze-is/web-access (MIT licensed)
- version
- 1.0.0
What is browser-cdp?
browser-cdp connects directly to your local Chrome via Chrome DevTools Protocol (CDP), giving the AI agent:
- Full login state — your cookies and sessions are carried through
- Anti-bot bypass — pages that block static fetchers (search results, video platforms)
- Interactive operations — click, fill forms, scroll, drag, file upload
- Dynamic content extraction — read JavaScript-rendered DOM
- Screenshots — capture any page at any point
Architecture
Chrome (remote-debugging-port=9222)
↓ CDP WebSocket
CDP Proxy (cdp-proxy.mjs) — HTTP API on localhost:3456
↓ HTTP REST
OpenClaw AI AgentSetup
1. Start Chrome with debugging port
# macOS — must use full binary path (not `open -a`)
pkill -9 "Google Chrome"; sleep 2
"/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" \
--remote-debugging-port=9222 \
--user-data-dir=/tmp/chrome-debug-profile \
--no-first-run &Verify:
curl -s http://127.0.0.1:9222/json/version2. Start CDP Proxy
node ~/.openclaw/skills/browser-cdp/scripts/cdp-proxy.mjs &
sleep 3
curl -s http://localhost:3456/health
# {"status":"ok","connected":true,"sessions":0,"chromePort":9222}API Reference
# List all tabs
curl -s http://localhost:3456/targets
# Open URL in new tab
curl -s "http://localhost:3456/new?url=https://example.com"
# Execute JavaScript
curl -s -X POST "http://localhost:3456/eval?target=TARGET_ID" \
-d 'document.title'
# JS click (fast, preferred)
curl -s -X POST "http://localhost:3456/click?target=TARGET_ID" \
-d 'button.submit'
# Real mouse click
curl -s -X POST "http://localhost:3456/clickAt?target=TARGET_ID" \
-d '.upload-btn'
# Screenshot
curl -s "http://localhost:3456/screenshot?target=TARGET_ID&file=/tmp/shot.png"
# Scroll (lazy loading)
curl -s "http://localhost:3456/scroll?target=TARGET_ID&direction=bottom"
# Navigate
curl -s "http://localhost:3456/navigate?target=TARGET_ID&url=https://..."
# Close tab
curl -s "http://localhost:3456/close?target=TARGET_ID"Tool Selection: Three-Layer Strategy
| Scenario | Use | Reason |
|---|---|---|
| Public pages (GitHub, Wikipedia, blogs) | agent-reach | Fast, low token, structured |
| Search results (Bing/Google/YouTube) | browser-cdp | agent-reach blocked |
| Login-gated content | browser-cdp | No cookies in agent-reach |
| JS-rendered pages | browser-cdp | Reads rendered DOM |
| Simple automation, isolated screenshots | agent-browser | No Chrome setup |
| Large-scale parallel scraping | agent-reach + parallel | browser-cdp gets rate-limited |
Decision flow:
Public content → agent-reach (fast, cheap)
Search results / blocked → browser-cdp
Still fails → agent-reach fallback + record in site-patternsKnown Limitations
- Chrome must use a separate profile (
/tmp/chrome-debug-profile) - Same-site parallel tabs may get rate-limited
- Node.js 22+ required (native WebSocket)
- macOS: use full binary path to start Chrome, not
open -a
Site Patterns & Usage Log
~/.openclaw/skills/browser-cdp/references/site-patterns/ # per-domain experience
~/.openclaw/skills/browser-cdp/references/usage-log.md # per-use trackingOrigin
Adapted from eze-is/web-access (MIT) for OpenClaw. A bug in the original (require() in ES module, reported here) is fixed in this version.