LogoOpenclaw Cases
  • openclaw install
LogoOpenclaw Cases

Curated Openclaw case studies and step-by-step tutorials to help you build practical automations faster

Resources
  • Changelog
Legal
  • Cookie Policy
  • Privacy Policy
  • Terms of Service
Š 2026 Openclaw Cases All Rights Reserved.
openclaw browser

Openclaw Browser:
start with these two routes

This page stops explaining browser automation in the abstract and focuses on the two routes that matter most for Openclaw Browser: Playwright MCP and browser-use. One is steadier. The other feels more like an AI browser agent.

openclaw browserPlaywright MCPbrowser-usebrowser automationMCPSkill

Keep this decision rule in mind

Stable

Choose Playwright MCP first when you need repeatability

If your task is logging into admin panels, clicking fixed controls, exporting files, or repeating the same flow, Playwright MCP is usually the cleanest starting point.

Agent

Choose browser-use when you want a more agent-style workflow

browser-use is closer to an AI browser agent. You describe the goal more naturally, but you also accept more dependence on model behavior and configuration.

Install

Openclaw can help you install Playwright MCP directly

If you do not want to manage commands, dependencies, and configuration yourself, asking Openclaw to install Playwright MCP is the friendlier path.

Key

Set up the browser-use key before anything advanced

The browser-use route starts with the official key flow. Using your own API and key is possible, but better handled in a dedicated guide later.

How to choose between the two

You do not need to understand the protocol details first. A simple rule is enough: the more fixed your task is, the more Playwright MCP fits. The more flexible and agent-like the task is, the more browser-use fits.

Playwright MCP

Steadier

This is the more engineering-oriented route. Browser actions are controllable, results are repeatable, and failures are easier to debug.

Best for: Fixed back-office workflows, repeated clicks, downloads, form filling, and tasks with explicit success criteria.

Install focus: You can simply ask Openclaw to install and verify it for you.

Keep in mind: If the page structure changes often, you will still need to maintain selectors and flow details later.

browser-use

Flexible

This is closer to giving AI a browser assistant that can inspect a page and decide how to keep moving.

Best for: Semi-structured pages, flows that are not fully fixed, and cases where you prefer describing goals over spelling out every step.

Install focus: Start with the ClawHub skill, then get the official browser-use key and finish configuration.

Keep in mind: Determinism is usually weaker than Playwright, and model plus key configuration adds another layer.

Route 1: Playwright MCP

If your goal is to let Openclaw control browser actions in a stable way, Playwright MCP should usually be your first stop. It fits repeatable flows today and leaves room for more formal automation later.

When to choose it first

Pick Playwright MCP first when the flow is fixed, files must be downloaded, or success and failure must be judged clearly.

A good mental model is: AI is driving a reliable browser executor, not improvising freely inside the page.

How to install it

Recommended

Ask Openclaw to install it for you

For non-technical users this is the lowest-friction route. Openclaw can check the environment first, then continue with installation, connection, and a minimal verification.

Please help me install Playwright MCP and complete these steps in order:
1. Check whether this machine already has Node.js, npx, and the browser runtime dependencies
2. If anything is missing, tell me what is missing and install it
3. Configure Playwright MCP inside Openclaw
4. After installation, open a test page and run a minimal verification
5. Finally, tell me how I should give browser instructions next

The key point is not memorizing the commands. The key point is getting the environment into a state where the browser can really be controlled.

Manual view

Under the hood, this is just Playwright MCP

If you want to understand the base layer, keep these commands in mind. The first starts the Playwright MCP server and the second installs browser dependencies.

npx @playwright/mcp@latest
npx playwright install
Open the Playwright MCP docs

Different clients use different config file formats, so most beginners do not need to wire it up manually on day one.

Useful entry points

Playwright MCP docs

The official explanation of what Playwright MCP is, when to use it, and how it is commonly connected.

Playwright website

If you later want to move from basic usage to deeper understanding, this is the best next stop.

If your only goal today is to make Openclaw Browser actually work, Playwright MCP is usually the higher-confidence first route.

Route 2: browser-use

If you prefer describing the task to AI instead of defining many rigid steps first, browser-use will feel more intuitive. It is designed to inspect pages, understand them, and then continue operating.

When to choose browser-use

Choose browser-use when page elements are less stable or when you would rather describe a goal than hard-code many browser actions.

It is not zero-config, though. You still need the skill, the official key, and the model setup behind it.

How to install and connect it

Recommended

Install the browser-use skill from ClawHub first

If you plan to use browser-use through Openclaw, starting with the skill matches the real usage path better. It tells Openclaw how to work with this capability.

Please help me install the browser-use skill and complete these steps in order:
1. Run this command first to install the skill
npx clawhub@latest install browser-use

2. If you need the skill page during setup, open:
https://clawhub.ai/ShawnPana/browser-use

3. After installation, verify that the browser-use skill is available
4. Then remind me to get the official browser-use key
5. Finally, tell me where that key should be configured
Open the browser-use skill

Think of the skill as a packaged capability: installation guidance, calling rules, and usage expectations bundled together.

Required

Get the official key and finish the basic setup

The official browser-use path usually starts by creating a key in its cloud dashboard and writing that key into your environment variables. Using your own API and key can come later.

pip install uv
uv venv --python 3.12
source .venv/bin/activate
uv pip install browser-use
uvx browser-use install

# Then write your own key
BROWSER_USE_API_KEY=your_key
Open the browser-use quickstart

If your goal is just to get to a working state, the official key flow is the shortest and easiest path to debug.

Links you will probably need

browser-use quickstart

The official quickstart covers installation commands, environment variables, and basic setup.

browser-use key page

Create the official key first, then place it into your local environment or runtime environment.

browser-use skill

If Openclaw is your entry point, this skill page is closer to your actual usage flow than raw package commands alone.

browser-use can also run with your own API and key, but that path has more compatibility and configuration details, so it deserves a separate guide.

About custom API and key setups

This path works, but it should not be your first path as a beginner

browser-use can work with your own API and key, and the official docs also support custom models or OpenAI-compatible endpoints.

Once you go down that route, you need to care more about model compatibility, base URLs, environment variable names, request parameters, and error handling.

So this page recommends getting the official key flow working first. A fuller tutorial for custom API and key setups will be published later.

What to do next

If you want Openclaw Browser to start doing real work today, the rule is simple: choose Playwright MCP for stability and repeatability; choose browser-use if you want a more agent-style browser workflow and you are willing to configure the key first. Getting one route working matters more than researching both at the same time.

Explore More Cases

Gemini

Custom AI Assistant

Give your AI assistant a soul by configuring its personality, context, and operational rules.

View Case

Connect Email and Triage the Inbox

Use Gmail API and OAuth to let Openclaw read emails, prioritize them, and draft replies.

View Case
X (Twitter)

Openclaw X

Use Bird Skill with your browser session to turn Openclaw X into one workflow for posting, replying, monitoring mentions, reading threads, and AI-driven X operations.

View Case

Openclaw Subscription

Connect your GPT, Gemini, and Claude plans to Openclaw so Openclaw Codex, Openclaw Gemini, and Openclaw Claude work without extra API token billing.

View Case

Openclaw Skills Starter

Learn how to turn repeated work into reusable skills so AI can execute with stable steps, rules, and guardrails.

View Case

Openclaw Installation and Setup

Learn how to install and set up the Openclaw automation system, from environment checks to essential CLI commands.

View Case

Save Money With AI Negotiation

See how OpenClaw searched inventory, contacted dealerships, and negotiated across browser, email, and messaging channels to save $4,200.

View Case

Openclaw GitHub Workflow

See how Openclaw can write code, open PRs, run code reviews, triage issues, and generate changelogs — handing every repetitive GitHub task to AI autonomously.

View Case

AI Job Hunter: Resumes, Emails & Follow-ups

See how Openclaw searches job boards across the web, tailors resumes and cover letters, sends bulk personalized applications, and triages inbox replies — automating the most repetitive parts of job hunting.

View Case

AI Rental Agent: Search, Compare & Negotiate

See how Openclaw searches listings across platforms, compares prices side by side, sends bulk inquiry messages, and negotiates rent with landlords — automating the most tedious parts of apartment hunting.

View Case