mirror of
https://github.com/browser-use/browser-use
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134 lines
3.7 KiB
Plaintext
134 lines
3.7 KiB
Plaintext
---
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title: "News-Use (News Monitor)"
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description: "Monitor news websites and extract articles with sentiment analysis using browser agents and Google Gemini."
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icon: "newspaper"
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mode: "wide"
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---
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<Note>
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This demo requires browser-use v0.7.7+.
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</Note>
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<video
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controls
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className="w-full aspect-video rounded-xl"
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src="https://browser-use.github.io/media/demos/news_use.mp4">
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</video>
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## Features
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1. Agent visits any news website automatically
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2. Finds and clicks the most recent headline article
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3. Extracts title, URL, posting time, and full content
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4. Generates short/long summaries with sentiment analysis
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5. Persistent deduplication across monitoring sessions
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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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```bash
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export GOOGLE_API_KEY='your-google-api-key-here'
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```
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Clone the repo, cd to the app
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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 Examples
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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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# Monitor Bloomberg continuously (default)
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python news_monitor.py
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# Monitor TechCrunch every 60 seconds
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python news_monitor.py --url https://techcrunch.com --interval 60
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# Debug mode - See browser in action
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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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[2025-09-11 02:54:15] - 🔴 - Tech layoffs continue as major firms cut workforce
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[2025-09-11 02:59:33] - 🟡 - Federal Reserve maintains interest rates unchanged
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```
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**Sentiment Indicators:**
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- 🟢 **Positive** - Good news, growth, success stories
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- 🟡 **Neutral** - Factual reporting, announcements, updates
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- 🔴 **Negative** - Challenges, losses, negative events
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## Data Persistence
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All extracted articles are saved to `news_data.json` with complete metadata:
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```json
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{
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"hash": "a1b2c3d4...",
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"pulled_at": "2025-09-11T02:49:21Z",
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"data": {
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"title": "Klarna's IPO pops, raising $1.4B",
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"url": "https://techcrunch.com/2025/09/11/klarna-ipo/",
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"posting_time": "12:11 PM PDT · September 10, 2025",
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"short_summary": "Klarna's IPO raises $1.4B, benefiting existing investors like Sequoia.",
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"long_summary": "Fintech Klarna successfully IPO'd on the NYSE...",
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"sentiment": "positive"
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}
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}
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```
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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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# Extract latest article from any news site
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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"📰 {article['title']}")
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print(f"😊 Sentiment: {article['sentiment']}")
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print(f"📝 Summary: {article['short_summary']}")
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asyncio.run(main())
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```
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## Advanced Configuration
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```python
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# Custom monitoring with filters
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async def monitor_with_filters():
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while True:
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result = await extract_latest_article("https://bloomberg.com")
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if result["status"] == "success":
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article = result["data"]
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# Only alert on negative market news
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if article["sentiment"] == "negative" and "market" in article["title"].lower():
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send_alert(article)
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await asyncio.sleep(300) # Check every 5 minutes
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```
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## Source Code
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Full implementation: [https://github.com/browser-use/browser-use/tree/main/examples/apps/news-use](https://github.com/browser-use/browser-use/tree/main/examples/apps/news-use)
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