name: pinchtab
description: >
Control a headless or headed Chrome browser via Pinchtab's HTTP API. Use for web automation,
scraping, form filling, navigation, and multi-tab workflows. Pinchtab exposes the accessibility
tree as flat JSON with stable refs — optimized for AI agents (low token cost, fast).
Use when the task involves: browsing websites, filling forms, clicking buttons, extracting
page text, taking screenshots, or any browser-based automation. Requires a running Pinchtab
instance (Go binary).
homepage: https://pinchtab.com
metadata:
openclaw:
emoji: "🦀"
requires:
bins: ["pinchtab"]
env:
- name: BRIDGE_TOKEN
secret: true
optional: true
description: "Bearer auth token for Pinchtab API"
- name: BRIDGE_PORT
optional: true
description: "HTTP port (default: 9867)"
- name: BRIDGE_HEADLESS
optional: true
description: "Run Chrome headless (true/false)"
Pinchtab
Fast, lightweight browser control for AI agents via HTTP + accessibility tree.
Security Note: Pinchtab runs a local Chrome browser under your control. It does not access your credentials, exfiltrate data, or connect to external services. All interactions stay local unless you explicitly navigate to external sites. Binary distributed via GitHub releases with checksums. See TRUST.md for full security model and VirusTotal flag explanation.
Quick Start (Agent Workflow)
The 30-second pattern for browser tasks:
# 1. Start Pinchtab (runs forever, local on :9867)
pinchtab &
# 2. In your agent, follow this loop:
# a) Navigate to a URL
# b) Snapshot the page (get refs like e0, e5, e12)
# c) Act on a ref (click e5, type e12 "search text")
# d) Snapshot again to see the result
# e) Repeat step c-d until done
That's it. Refs are stable—you don't need to re-snapshot before every action. Only snapshot when the page changes significantly.
Setup
# Headless (default) — no visible window
pinchtab &
# Headed — visible Chrome window for human debugging
BRIDGE_HEADLESS=false pinchtab &
# With auth token
BRIDGE_TOKEN="your-secret-token" pinchtab &
# Custom port
BRIDGE_PORT=8080 pinchtab &
# Dashboard/orchestrator — profile manager + tab launcher
pinchtab dashboard &
Default: port 9867, no auth required (local). Set BRIDGE_TOKEN for remote access.
For advanced setup, see references/profiles.md and references/env.md.
What a Snapshot Looks Like
After calling /snapshot, you get the page's accessibility tree as JSON—flat list of elements with refs:
{
"refs": [
{"id": "e0", "role": "link", "text": "Sign In", "selector": "a[href='/login']"},
{"id": "e1", "role": "textbox", "label": "Email", "selector": "input[name='email']"},
{"id": "e2", "role": "button", "text": "Submit", "selector": "button[type='submit']"}
],
"text": "... readable text version of page ...",
"title": "Login Page"
}
Then you act on refs: click e0, type e1 "user@example.com", press e2 Enter.
Core Workflow
The typical agent loop:
Navigate to a URL
Snapshot the accessibility tree (get refs)
Act on refs (click, type, press)
Snapshot again to see results
Refs (e.g. e0, e5, e12) are cached per tab after each snapshot — no need to re-snapshot before every action unless the page changed significantly.
Quick examples
pinchtab nav https://example.com
pinchtab snap -i -c # interactive + compact
pinchtab click e5
pinchtab type e12 hello world
pinchtab press Enter
pinchtab text # readable text (~1K tokens)
pinchtab text | jq .text # pipe to jq
pinchtab ss -o page.jpg # screenshot
pinchtab eval "document.title" # run JavaScript
pinchtab pdf -o page.pdf # export PDF
For the full HTTP API (curl examples, download, upload, cookies, stealth, batch actions), see references/api.md.
Token Cost Guide
| Method | Typical tokens | When to use |
|---|---|---|
| /text | ~800 | Reading page content |
| /snapshot?filter=interactive | ~3,600 | Finding buttons/links to click |
| /snapshot?diff=true | varies | Multi-step workflows (only changes) |
| /snapshot?format=compact | ~56-64% less | One-line-per-node, best efficiency |
| /snapshot | ~10,500 | Full page understanding |
| /screenshot | ~2K (vision) | Visual verification |
Strategy: Start with ?filter=interactive&format=compact. Use ?diff=true on subsequent snapshots. Use /text when you only need readable content. Full /snapshot only when needed.
Agent Optimization
Validated Feb 2026: Testing with AI agents revealed a critical pattern for reliable, token-efficient scraping.
See the full guide: docs/agent-optimization.md
Quick Summary
The 3-second pattern — wait after navigate before snapshot:
curl -X POST http://localhost:9867/navigate \
-H "Content-Type: application/json" \
-d '{"url": "https://example.com"}' && \
sleep 3 && \
curl http://localhost:9867/snapshot | jq '.nodes[] | select(.name | length > 15) | .name'
Token savings: 93% reduction (3,842 → 272 tokens) when using prescriptive instructions vs. exploratory agent approach.
For detailed findings, system prompt templates, and site-specific notes, see docs/agent-optimization.md.
Tips
Always pass
tabIdexplicitly when working with multiple tabsRefs are stable between snapshot and actions — no need to re-snapshot before clicking
After navigation or major page changes, take a new snapshot for fresh refs
Pinchtab persists sessions — tabs survive restarts (disable with
BRIDGE_NO_RESTORE=true)Chrome profile is persistent — cookies/logins carry over between runs
Use
BRIDGE_BLOCK_IMAGES=trueor"blockImages": trueon navigate for read-heavy tasksWait 3+ seconds after navigate before snapshot — Chrome needs time to render 2000+ accessibility tree nodes