Browserbase vs Steel: Choosing Headless Browser Infrastructure for Your AI Agent

The Problem They Both Solve

Running a headless browser inside an AI agent sounds straightforward until you hit it in production: Playwright works locally but fails in a container due to missing dependencies. CAPTCHA blocks your agent after 10 requests. Sessions time out mid-task. Proxy management becomes a full-time job.

Browserbase and Steel both exist to take that infrastructure problem off your hands. They differ in deployment model, cost structure, and how much you want to manage yourself.

Quick Comparison

Browserbase: When Managed Is the Right Call

Browserbase is the right choice when:

• You need CAPTCHA bypass without managing third-party CAPTCHA service integrations
• You need parallel browser sessions at scale (hundreds or thousands simultaneously)
• Your team does not have DevOps capacity to manage browser infrastructure
• You need SOC-2 or HIPAA compliance out of the box
• You are building a product and want infrastructure reliability guarantees

Getting started with Browserbase takes a single environment variable:

import os
from browserbase import Browserbase
 
bb = Browserbase(api_key=os.environ['BROWSERBASE_API_KEY'])
 
# Create a session
session = bb.sessions.create(project_id=os.environ['BROWSERBASE_PROJECT_ID'])
 
# Connect Playwright to the remote browser
from playwright.sync_api import sync_playwright
 
with sync_playwright() as p:
    browser = p.chromium.connect_over_cdp(session.connect_url)
    page = browser.new_page()
    page.goto('https://example.com')
    print(page.title())
    browser.close()
 

Steel: When Self-Hosted Makes Sense

Steel is the right choice when:

• Your data cannot leave your network (healthcare, finance, legal use cases)
• You have the infrastructure to run Docker and manage browser pools
• Cost at scale is a primary concern and you want to own the compute
• You need to load custom Chrome extensions that managed services restrict
• You want to inspect and modify the browser infrastructure code itself

# Self-host Steel with Docker
docker run -d \
  -p 3000:3000 \
  -e STEEL_API_KEY=your-local-key \
  --name steel \
  ghcr.io/steel-dev/steel:latest
 

import steel
 
# Connect to your self-hosted Steel instance
client = steel.Steel(
    steel_api_key='your-local-key',
    base_url='http://localhost:3000',
)
 
session = client.sessions.create()
 
from playwright.sync_api import sync_playwright
 
with sync_playwright() as p:
    browser = p.chromium.connect_over_cdp(session.websocket_url)
    page = browser.new_page()
    page.goto('https://example.com')
    browser.close()
 
client.sessions.release(session.id)
 

The Stagehand SDK

Stagehand is Browserbase's open-source SDK for natural language browser control. Instead of writing CSS selectors and Playwright actions, you describe what you want in plain English.

from stagehand import Stagehand
import asyncio
 
async def main():
    stagehand = Stagehand()  # uses BROWSERBASE_API_KEY env var
    await stagehand.init()
 
    page = stagehand.page
    await page.goto('https://github.com/trending')
 
    # Natural language actions
    await page.act('Click on the first trending repository')
 
    # Natural language extraction
    repo_info = await page.extract(
        'Extract the repository name, description, and star count'
    )
    print(repo_info)
 
    await stagehand.close()
 
asyncio.run(main())
 

Stagehand also works with Steel — point it at your self-hosted Steel instance via the connectUrl parameter.

Decision Summary