browser-cdp
## 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 Agent
```
## Setup
### 1. Start Chrome with debugging port
```bash
# 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:
```bash
curl -s http://127.0.0.1:9222/json/version
```
### 2. Start CDP Proxy
```bash
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
```bash
# 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-patterns
```
## Known 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
```bash
~/.openclaw/skills/browser-cdp/references/site-patterns/ # per-domain experience
~/.openclaw/skills/browser-cdp/references/usage-log.md # per-use tracking
```
## Origin
Adapted from [eze-is/web-access](https://github.com/eze-is/web-access) (MIT) for OpenClaw.
A bug in the original (`require()` in ES module, [reported here](https://github.com/eze-is/web-access/issues/10)) is fixed in this version.
标签
skill
ai