browser-use/examples/apps/news-use

News-Use

Automatically monitor news websites and extract the latest articles with sentiment analysis using browser agents and Google Gemini.

Important

This demo requires browser-use v0.7.7+.

https://github.com/user-attachments/assets/698757ca-8827-41f3-98e5-c235d6eef69f

Features

1. Agent visits any news website
2. Finds and clicks the most recent headline article
3. Extracts title, URL, posting time, and content
4. Generates short/long summaries with sentiment analysis
5. Persistent deduplication across restarts

Setup

Make sure the newest version of browser-use is installed:

pip install -U browser-use

Export your Gemini API key, get it from: Google AI Studio

export GEMINI_API_KEY='your-google-api-key-here'

Clone the repo and cd into the app folder

git clone https://github.com/browser-use/browser-use.git
cd browser-use/examples/apps/news-use

Usage

# One-time extraction - Get the latest article and exit
python news_monitor.py --once

# Continuous monitoring - Check every 5 minutes (default)
python news_monitor.py

# Custom interval - Check every 60 seconds
python news_monitor.py --interval 60

# Different news site
python news_monitor.py --url https://techcrunch.com

# Debug mode - See browser in action with verbose output
python news_monitor.py --once --debug

Output Format

Articles are displayed with timestamp, sentiment emoji, and summary:

[2025-09-11 02:49:21] - 🟢 - Klarna's IPO raises $1.4B, benefiting existing investors

Sentiment indicators:

• 🟢 Positive
• 🟡 Neutral
• 🔴 Negative

Programmatic Usage

import asyncio
from news_monitor import extract_latest_article

async def main():
    result = await extract_latest_article(
        site_url="https://techcrunch.com",
        debug=False
    )
    if result["status"] == "success":
        article = result["data"]
        print(f"Latest: {article['title']}")

asyncio.run(main())

License

MIT