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88 lines
2.0 KiB
Markdown
88 lines
2.0 KiB
Markdown
# News-Use
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Automatically monitor news websites and extract the latest articles with sentiment analysis using browser agents and Google Gemini.
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> [!IMPORTANT]
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> This demo requires browser-use v0.7.7+.
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https://github.com/user-attachments/assets/698757ca-8827-41f3-98e5-c235d6eef69f
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## Features
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1. Agent visits any news website
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2. Finds and clicks the most recent headline article
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3. Extracts title, URL, posting time, and content
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4. Generates short/long summaries with sentiment analysis
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5. Persistent deduplication across restarts
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## Setup
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Make sure the newest version of browser-use is installed:
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```bash
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pip install -U browser-use
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```
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Export your Gemini API key, get it from: [Google AI Studio](https://makersuite.google.com/app/apikey)
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```
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export GEMINI_API_KEY='your-google-api-key-here'
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```
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Clone the repo and cd into the app folder
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```bash
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git clone https://github.com/browser-use/browser-use.git
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cd browser-use/examples/apps/news-use
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```
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## Usage
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```bash
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# One-time extraction - Get the latest article and exit
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python news_monitor.py --once
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# Continuous monitoring - Check every 5 minutes (default)
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python news_monitor.py
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# Custom interval - Check every 60 seconds
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python news_monitor.py --interval 60
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# Different news site
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python news_monitor.py --url https://techcrunch.com
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# Debug mode - See browser in action with verbose output
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python news_monitor.py --once --debug
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```
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## Output Format
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Articles are displayed with timestamp, sentiment emoji, and summary:
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```
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[2025-09-11 02:49:21] - 🟢 - Klarna's IPO raises $1.4B, benefiting existing investors
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```
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Sentiment indicators:
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- 🟢 Positive
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- 🟡 Neutral
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- 🔴 Negative
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## Programmatic Usage
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```python
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import asyncio
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from news_monitor import extract_latest_article
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async def main():
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result = await extract_latest_article(
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site_url="https://techcrunch.com",
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debug=False
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)
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if result["status"] == "success":
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article = result["data"]
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print(f"Latest: {article['title']}")
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asyncio.run(main())
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```
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## License
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MIT
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