Browser Automation for Openclaw

An AI-powered browser automation tool that executes natural language commands to navigate, interact with, and extract data from any website.

peytoncasper
v1.0.1
Feb 6, 2026
62
46.7k
544

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install browser-automation

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install browser-automation using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Browser Automation?

The Browser Automation skill is a robust solution within the Openclaw Skills collection designed to simplify web interactions for AI agents. By utilizing the Stagehand CLI, it removes the complexity of manual DOM selection, allowing users to describe actions in plain English. This skill is essential for developers looking to integrate web-based tasks into their automation pipelines without the maintenance overhead of traditional scraping scripts.

One of the standout features of this entry in the Openclaw Skills library is its intelligent environment handling. It seamlessly toggles between a local Chrome browser and a remote Browserbase setup based on your configuration. This ensures that whether you are developing locally or running production workloads that require proxies or CAPTCHA solving, the browser skill adapts to your needs automatically.

Browser Automation Use Cases

  • Automating complex web workflows such as multi-step form fills or account registrations.
  • Scraping structured data from modern web applications for data analysis.
  • Visual monitoring of website changes through automated screenshot capture.
  • Natural language element discovery for debugging or exploration of new web interfaces.
  • High-volume data extraction using stealth modes provided by remote browser environments.

How Browser Automation Works

  1. The skill detects the environment variables to choose between a local Chrome instance or a remote Browserbase project.
  2. A browser session is initiated through a specific navigation command to a target URL.
  3. Natural language actions are processed to interact with buttons, inputs, and other page elements dynamically.
  4. Extraction logic is applied to retrieve specific information, which can be formatted according to a provided JSON schema.
  5. Screenshots are taken to verify the state of the page and provide visual logs of the automation process.
  6. The browser instance is terminated safely once the requested tasks are completed.

Browser Automation Setup

To begin using this tool in your Openclaw Skills environment, ensure you have Node.js installed. Follow these steps to set up the browser automation skill:

npm install
npm link

For production use with stealth features, add your Browserbase credentials to your .env file:

  • BROWSERBASE_API_KEY
  • BROWSERBASE_PROJECT_ID

Browser Automation Data Schema & Taxonomy

The skill manages browser interactions using a command-line interface that outputs results based on the task performed. Below is how data is structured within this component of Openclaw Skills:

Data Point Description Format
Browser Commands Commands like navigate, act, extract, observe, and screenshot CLI String
Natural Language Queries Instructions passed to the browser to perform specific tasks Text String
Extracted Data Information retrieved from web pages JSON or Plain Text
Observation Logs A list of discoverable elements on the current page Text Summary
Verification Assets Visual proof of the current browser state PNG Screenshots

Browser Automation Advanced Features

  • Intelligent switching between local development and remote production environments.
  • Stealth mode and proxy integration for bypassing bot detection during scraping.
  • Natural language element discovery that eliminates the need for hardcoded CSS selectors.
  • Schema-based data extraction for consistent and parseable output.
  • Cross-platform CLI access allowing for integration into various shell-based workflows within Openclaw Skills.

SKILL.md


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