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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
- Agent visits any news website
- Finds and clicks the most recent headline article
- Extracts title, URL, posting time, and content
- Generates short/long summaries with sentiment analysis
- 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