ClawHub

Browser Automation Core

Automation

Core browser automation library for OpenClaw agents. Provides reusable navigation, interaction, and capture capabilities for both Facet (Onshape learning) and Ace (competition entry). Use when any agent needs to automate web browser interactions.

Install

openclaw skills install browser-automation-core

Browser Automation Core Skill

Purpose

A reusable browser automation library that provides common web interaction capabilities for multiple OpenClaw agents. Designed to be extended by agent-specific skills while maintaining a single, well-tested core.

Primary Users

  1. Facet - Onshape CAD learning automation
  2. Ace - Competition entry and form filling
  3. Future agents - Any web automation needs

Architecture

browser-automation-core/          # This skill
├── navigation/                   # URL loading, waiting
├── interaction/                  # Click, type, select
├── capture/                      # Screenshot, HTML capture
├── forms/                        # Form detection and filling
└── sessions/                     # Tab/window management

facets-browser-learning/          # Facet-specific extension
└── uses core + Onshape-specific logic

ace-competition-automation/       # Ace-specific extension  
└── uses core + competition-specific logic

Core Capabilities

Navigation

  • URL loading with timeout and retry
  • Wait conditions (element visible, page loaded)
  • History management (back, forward, refresh)
  • Tab/window control (open, close, switch)

Interaction

  • Element finding (CSS selectors, XPath, text)
  • Basic actions (click, type, clear, submit)
  • Mouse operations (hover, drag, scroll)
  • Keyboard operations (key presses, shortcuts)

Capture

  • Screenshots (full page, element, viewport)
  • HTML capture (page source, element HTML)
  • Text extraction (visible text, attributes)
  • Performance metrics (load times, resources)

Forms

  • Form detection (find all forms on page)
  • Field mapping (match fields to data)
  • Validation (required fields, formats)
  • Submission (submit buttons, AJAX handling)

Sessions

  • Cookie management (save/load sessions)
  • Authentication state (login persistence)
  • Profile management (user agent, viewport)
  • Cleanup (close browsers, clear data)

Quick Start

Installation

# Install from ClawHub (when published)
npx clawhub@latest install browser-automation-core

# Or use local development version
cp -r /path/to/skill /root/.openclaw/workspace/skills/

Basic Usage

# Example: Navigate and take screenshot
from browser_core import BrowserAutomation

browser = BrowserAutomation()
browser.navigate("https://example.com")
browser.take_screenshot("example.png")
browser.close()

Agent-Specific Examples

For Facet (Onshape Learning)

from browser_core import BrowserAutomation
from facets_onshape import OnshapeAutomation

browser = BrowserAutomation()
onshape = OnshapeAutomation(browser)

# Login to Onshape
onshape.login(email="facet.ai.oc@gmail.com", password="***")

# Navigate to tutorials
onshape.navigate_to_tutorial("getting-started")

# Complete tutorial steps
onshape.complete_tutorial_step(1)
onshape.take_progress_screenshot()

For Ace (Competition Entry)

from browser_core import BrowserAutomation
from ace_competition import CompetitionAutomation

browser = BrowserAutomation()
competition = CompetitionAutomation(browser)

# Navigate to competition
competition.navigate_to_competition("https://competition.example.com")

# Fill entry form
entry_data = {
    "name": "Stef Ferreira",
    "email": "ace@supplystoreafrica.com",
    "phone": "+27726386189"
}
competition.fill_entry_form(entry_data)

# Submit and capture proof
competition.submit_entry()
competition.capture_submission_proof()

Configuration

Environment Variables

# Browser settings
export BROWSER_HEADLESS="true"           # Run without display
export BROWSER_TIMEOUT="30"              # Default timeout seconds
export BROWSER_VIEWPORT="1280,720"       # Window size
export BROWSER_USER_AGENT="OpenClaw Agent" # Custom user agent

# CDP settings (OpenClaw browser)
export CDP_URL="http://localhost:18800/json"
export CDP_WEBSOCKET="ws://localhost:18800/devtools/page/..."

# Storage settings
export SCREENSHOT_DIR="/path/to/screenshots"
export SESSION_DIR="/path/to/sessions"

OpenClaw Integration

{
  "skills": {
    "browser-automation-core": {
      "enabled": true,
      "config": {
        "cdpUrl": "http://localhost:18800/json",
        "headless": true,
        "timeout": 30,
        "screenshotDir": "/root/.openclaw/workspace/screenshots"
      }
    }
  }
}

Implementation Details

CDP (Chrome DevTools Protocol)

This skill uses OpenClaw's built-in browser via CDP:

  • Connection: WebSocket to ws://localhost:18800/devtools/page/...
  • Commands: Standard CDP methods (Page.navigate, DOM.querySelector, etc.)
  • Events: Async event handling for page loads, network requests

Error Handling

  • Retry logic: Automatic retry on network failures
  • Timeout management: Configurable timeouts per operation
  • Fallback strategies: Alternative selectors, different interaction methods
  • Recovery procedures: Page reload, session restore

Performance

  • Connection pooling: Reuse WebSocket connections
  • Command batching: Batch CDP commands when possible
  • Caching: Cache page structure, element positions
  • Parallel operations: Async operations where safe

Extension Points

Creating Agent-Specific Extensions

1. Create Extension Skill

python3 /usr/lib/node_modules/openclaw/skills/skill-creator/scripts/init_skill.py facets-browser-learning

2. Import Core Library

# In extension skill
import sys
sys.path.append("/root/.openclaw/workspace/skills/browser-automation-core")
from browser_core import BrowserAutomation

class OnshapeAutomation:
    def __init__(self):
        self.browser = BrowserAutomation()
    
    def onshape_specific_method(self):
        # Use core capabilities
        self.browser.navigate("https://cad.onshape.com")
        # Add Onshape-specific logic

3. Add Specialized Logic

  • Site-specific selectors (Onshape CSS classes, competition form fields)
  • Domain-specific workflows (tutorial navigation, competition rules)
  • Custom capture requirements (progress tracking, entry proof)
  • Error handling for specific sites

Testing Strategy

Unit Tests

# Test core functionality
cd /root/.openclaw/workspace/skills/browser-automation-core
python3 -m pytest tests/unit/

Integration Tests

# Test with actual browser
python3 tests/integration/test_navigation.py
python3 tests/integration/test_forms.py

Agent-Specific Tests

# Test Facet extension
cd /root/.openclaw/workspace/skills/facets-browser-learning
python3 tests/test_onshape_automation.py

# Test Ace extension  
cd /root/.openclaw/workspace/skills/ace-competition-automation
python3 tests/test_competition_automation.py

Common Use Cases

Use Case 1: Form Filling (Ace)

# Competition entry automation
data = {
    "full_name": "Stef Ferreira",
    "email": "ace@supplystoreafrica.com",
    "phone": "+27726386189",
    "address": "123 Street, City, South Africa"
}

browser.navigate(competition_url)
browser.fill_form("form#entry-form", data)
browser.click("button[type='submit']")
browser.wait_for_element(".success-message")
browser.take_screenshot("entry_proof.png")

Use Case 2: Tutorial Navigation (Facet)

# Onshape learning automation
browser.navigate("https://cad.onshape.com")
browser.login(credentials)  # Custom method in extension
browser.navigate("/learning/tutorials")

# Complete tutorial
tutorial_steps = browser.extract_tutorial_steps()
for step in tutorial_steps:
    browser.complete_step(step)  # Custom method
    browser.take_screenshot(f"step_{step.number}.png")
    
browser.capture_certificate()

Use Case 3: Multi-Page Workflow

# Complex automation across multiple pages
browser.open_new_tab()
browser.navigate_to_login()
browser.login(credentials)

browser.switch_to_tab(0)
browser.fill_application_form(data)

browser.switch_to_tab(1)
browser.verify_email_confirmation()

browser.capture_all_tabs_screenshots()

Error Recovery Patterns

CORS Issues (Screenshots/Evaluate Not Working)

Problem: Browser automation fails with CORS errors when taking screenshots or evaluating JavaScript.

Solution: Ensure browser is started with --remote-allow-origins=* flag:

# Browser startup command must include:
--remote-debugging-port=18800 --remote-allow-origins=*

Verification:

curl http://localhost:18800/json/version
# Should return browser info without CORS errors

Network Issues

try:
    browser.navigate(url)
except NetworkError:
    browser.reload()
    browser.wait_for_network_idle()
    # Retry operation

Element Not Found

# Try multiple selectors
selectors = [
    "button.submit",
    "input[type='submit']",
    ".submit-button",
    "//button[contains(text(), 'Submit')]"
]

for selector in selectors:
    if browser.element_exists(selector):
        browser.click(selector)
        break

Form Validation Errors

browser.submit_form()
if browser.has_validation_errors():
    errors = browser.get_validation_errors()
    for field, message in errors:
        browser.fix_field(field, message)
    browser.submit_form()  # Retry

Performance Optimization

Batch Operations

# Instead of sequential commands
browser.click("button1")
browser.click("button2")
browser.type("input1", "text")

# Use batch commands
commands = [
    {"method": "click", "selector": "button1"},
    {"method": "click", "selector": "button2"},
    {"method": "type", "selector": "input1", "text": "text"}
]
browser.execute_batch(commands)

Caching Strategies

# Cache page structure
if not browser.has_cached_structure(url):
    structure = browser.extract_page_structure()
    browser.cache_structure(url, structure)

# Use cached selectors
selectors = browser.get_cached_selectors(url)

Security Considerations

Credential Management

  • Never hardcode credentials in scripts
  • Use environment variables or secure storage
  • Implement credential rotation
  • Log credential usage (without exposing values)

Session Isolation

  • Separate browser sessions per agent
  • Clear cookies and storage between sessions
  • Use incognito/private mode when possible
  • Implement session timeout

Input Validation

  • Validate all user inputs before browser interaction
  • Sanitize URLs to prevent navigation to malicious sites
  • Limit file system access from browser
  • Monitor for suspicious behavior

Maintenance

Versioning

  • Semantic versioning (MAJOR.MINOR.PATCH)
  • Backward compatibility for minor versions
  • Deprecation warnings for breaking changes
  • Migration guides between major versions

Updates

  • Monthly security updates
  • Quarterly feature updates
  • Annual architecture reviews
  • Continuous integration testing

Monitoring

  • Usage statistics (which agents use which features)
  • Error rates and common failures
  • Performance metrics (load times, success rates)
  • Agent-specific success tracking

Contributing

Adding New Features

  1. Check if feature belongs in core or extension
  2. Write tests for new functionality
  3. Update documentation
  4. Submit pull request

Reporting Issues

  1. Include agent context (Facet, Ace, etc.)
  2. Provide reproduction steps
  3. Include screenshots/logs
  4. Suggest possible solutions

Extension Development

  1. Follow core API patterns
  2. Reuse existing utilities when possible
  3. Write agent-specific tests
  4. Document extension capabilities

References

CDP Documentation

Related Skills

  • facets-browser-learning - Facet extension
  • ace-competition-automation - Ace extension
  • browser-testing - Testing utilities

External Resources

Version: 1.0.0
Last Updated: 2026-03-30
Maintainer: Bob (OpenClaw Agent)
License: MIT
Status: Active Development

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