ai-agent-book 精选快照（<2MB 代码与文档，来自 github.com/bojieli/ai-agent-book）

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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
+
+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:
+```bash
+pip install -U browser-use
+```
+
+Export your Gemini API key, get it from: [Google AI Studio](https://makersuite.google.com/app/apikey) 
+```
+export GEMINI_API_KEY='your-google-api-key-here'
+```
+
+Clone the repo and cd into the app folder
+```bash
+git clone https://github.com/browser-use/browser-use.git
+cd browser-use/examples/apps/news-use
+```
+
+## Usage
+
+```bash
+# 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
+
+```python
+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