Run a Browser Use Agent on a Daily Schedule

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_xxxxxxxxxxxxxxxxxxxxxxxx
export 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 asyncio
from datetime import datetime, timezone
from pathlib import Path

from browser_use import Agent, Browser, ChatAnthropic

TASK = """
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 os

from upstash_box import Box

box = 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 in
run("pip install browser-use")
box.files.write(path="agent.py", content=open("agent.py").read())

# Run it once and print the report
run("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 UTC
box.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 News

1. **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/jeeves

3. **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.

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 Box

box = 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.

​1. Set up

​2. Write the agent

​3. Set up the box

​4. Read the reports

​Next steps

1. Set up

2. Write the agent

3. Set up the box

4. Read the reports

Next steps