Scheduled Browser Use Agent - Upstash Documentation

Run a Browser Use agent inside Upstash Box. The agent, the browser, and the files it writes all live in one box, and a schedule runs it again on a cron.

This guide builds an agent that reads Hacker News every morning and saves a report to the box.

1. Set up#

A Box API key from the Upstash Console.
An Anthropic API key from API keys.

export UPSTASH_BOX_API_KEY=box_xxxxxxxxxxxxxxxxxxxxxxxxexport ANTHROPIC_API_KEY=sk-ant-api03-xxxxxxxxxxxx

pip install upstash-box

2. Write the agent#

This file runs inside the box. It starts the box’s Chromium, runs the task, and writes the result to reports/.

agent.py

import asynciofrom datetime import datetime, timezonefrom pathlib import Pathfrom browser_use import Agent, Browser, ChatAnthropicTASK = """Go to news.ycombinator.com and find the first 3 stories about AI on the front page.Return a markdown list with the title, link, and points of each.Open only the first one and add a two-sentence summary of it."""async def main():    agent = Agent(        task=TASK,        llm=ChatAnthropic(model="claude-sonnet-4-5"),        browser=Browser(            executable_path="/usr/bin/chromium",            headless=True,            chromium_sandbox=False,        ),    )    history = await agent.run(max_steps=15)    if not history.is_successful():        raise SystemExit("The agent did not finish the task")    name = datetime.now(timezone.utc).strftime("%Y-%m-%d-%H%M")    report = Path("/workspace/home/reports") / f"{name}.md"    report.parent.mkdir(exist_ok=True)    report.write_text(history.final_result())asyncio.run(main())

3. Set up the box#

This script runs on your machine. It creates a box with a browser, installs Browser Use, runs the agent once, and schedules it.

setup.py

import osfrom upstash_box import Boxbox = Box.create(    runtime="python",    browser=True,    env={"ANTHROPIC_API_KEY": os.environ["ANTHROPIC_API_KEY"]},)print(box.id)def run(command):    result = box.exec.command(command)    if result.status != "completed":        raise RuntimeError(result.result)# Install Browser Use and copy the agent inrun("pip install browser-use")box.files.write(path="agent.py", content=open("agent.py").read())# Run it once and print the reportrun("python3 agent.py")for file in box.files.list("reports"):    print(box.files.read(f"reports/{file.name}"))# Run it every day at 08:00 UTCbox.schedule.exec(    cron="0 8 * * *",    command=["python3", "/workspace/home/agent.py"],)

python setup.py

Example output after the box id. Stories and scores will vary:

## Top 3 AI Stories from Hacker News1. **AI companies leak data to advertisers [pdf]** - 179 points   - Link: https://jorgegarciaherrero.com/wp-content/interactivos/20260916-Prompt-like-a-butterfly-sting-like-a-tracker-(clean).pdf   - Summary: The paper analyzes privacy practices of conversational AI services, finding that 6 out of 9 web services and 3 out of 8 Android apps leak conversation data to third parties. This includes sensitive information such as URLs, titles, prompts, and screenshots being shared alongside persistent user identifiers.2. **Jeeves. Reasoning improves Jev-like decision models** - 54 points   - Link: https://github.com/PostHog/jeeves3. **Nvidia wants to put a watchdog chip next to every AI agent** - 197 points   - Link: https://www.cnbc.com/2026/09/28/nvidia-releases.html

The box pauses when idle. Each scheduled run wakes it, and the reports stay on the box.

Note

Run setup.py once. Each run creates a new box with its own daily schedule.

4. Read the reports#

Re-attach with the box id that setup.py printed:

reports.py

from upstash_box import Boxbox = Box.get("your-box-id")for file in box.files.list("reports"):    print(box.files.read(f"reports/{file.name}"))

python reports.py

Delete the box when you no longer need it:

box.delete()

Next steps#

Schedules to pause a schedule or get a webhook when a run finishes.
Connect over CDP to drive the box browser with Browser Use from your own machine.
Browser for the SDK’s own observe, act, and extract.