āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā š browser-use/examples/parallel-browser ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā
Run multiple agents in parallel with separate browser instances
import asyncio
from browser_use import Agent, Browser, ChatOpenAI
async def main():
# Create 3 separate browser instances
browsers = [
Browser(
user_data_dir=f'./temp-profile-{i}',
headless=False,
)
for i in range(3)
]
# Create 3 agents with different tasks
agents = [
Agent(
task='Search for "browser automation" on Google',
browser=browsers[0],
llm=ChatOpenAI(model='gpt-4.1-mini'),
),
Agent(
task='Search for "AI agents" on DuckDuckGo',
browser=browsers[1],
llm=ChatOpenAI(model='gpt-4.1-mini'),
),
Agent(
task='Visit Wikipedia and search for "web scraping"',
browser=browsers[2],
llm=ChatOpenAI(model='gpt-4.1-mini'),
),
]
# Run all agents in parallel
tasks = [agent.run() for agent in agents]
results = await asyncio.gather(*tasks, return_exceptions=True)
print('š All agents completed!')
Note: This is experimental, and agents might conflict with each other.
ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā ā
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