A powerful API that aggregates financial news and provides comprehensive market sentiment analysis
Project description
Finance News API
A powerful API that aggregates financial news and provides comprehensive market sentiment analysis.
Features
-
๐ Comprehensive Data Sources
- Yahoo Finance - Real-time market data and news
- Reuters - Global financial news and analysis
- Bloomberg - Market insights and breaking news
- MarketWatch - Financial news and market commentary
- Seeking Alpha - In-depth analysis and research
- Company information and fundamentals
- Market metrics and analyst recommendations
-
๐ Advanced Analytics
- Sentiment analysis with granular classification
- Subjectivity analysis
- Time-based sentiment trends
- Market sentiment aggregation
- Multi-source news comparison and analysis
- Source-specific sentiment tracking
-
๐ Market Data
- Real-time and historical price data
- Volume analysis
- Key market metrics (P/E ratio, market cap, etc.)
- Analyst recommendations
- Company fundamentals
-
โก Performance Features
- Async processing
- Input validation
- Comprehensive error handling
- Flexible filtering options
- Customizable news sources
Getting Started
Prerequisites
- Python 3.8+
- pip (Python package manager)
Installation
Option 1: Install from PyPI (Recommended)
The easiest way to install Finance News API is directly from PyPI:
pip install finance-news-api
Option 2: Install from Source
- Clone the repository:
git clone https://github.com/pratyushkhanal/finance-news-api.git
cd finance-news-api
- Install dependencies:
pip install -r requirements.txt
Basic Usage
After installing the package, you can use it in your Python code:
from newsapi2 import app
import uvicorn
# Run the FastAPI application
uvicorn.run(app, host="0.0.0.0", port=8000)
You can also import specific services and use them directly:
from newsapi2.services.news_sources import get_news
from newsapi2.services.sentiment import analyze_sentiment
# Get news for a specific stock
apple_news = get_news("AAPL")
# Analyze sentiment of a text
sentiment_score = analyze_sentiment("This company reported better than expected earnings")
API Client Usage
If you want to use the Finance News API as a client:
import requests
headers = {
"X-API-Key": "your_api_key_here"
}
# Get news for Apple
response = requests.get(
"http://your-api-endpoint.com/api/news/AAPL",
headers=headers,
params={
"sentiment_threshold": 0.2,
"time_range_hours": 24,
"sources": ["reuters", "bloomberg"]
}
)
# Parse the JSON response
news_data = response.json()
# Print the results
for article in news_data["articles"]:
print(f"Title: {article['title']}")
print(f"Source: {article['source']}")
print(f"Sentiment: {article['sentiment_score']}")
print(f"URL: {article['url']}")
print("---")
Upgrading the Package
To upgrade to the latest version:
pip install --upgrade finance-news-api
Command-Line Usage
After installing the package, you can run it directly from the command line:
# Start the API server (if configured in entry_points)
finance-news-api
# Or run it using Python
python -m newsapi2.main
This will start the FastAPI application on the default host (0.0.0.0) and port (8000).
Running as a Web Service
You can also run the Finance News API as a web service:
- Set up environment variables:
# Create a .env file
touch .env
# Add the following to your .env file
ADMIN_USERNAME=your_admin_username
ADMIN_PASSWORD=your_secure_password
- Run the application:
# If installed from PyPI
finance-news-api serve
# Or if using the source code
uvicorn main:app --reload
The API will be available at http://localhost:8000
API Key Management
The API includes a built-in admin interface for managing API keys. Access it at http://localhost:8000/admin
Security
- Admin interface is protected with HTTP Basic Authentication
- Admin credentials are configured via environment variables
- All admin actions require authentication
- API keys are securely generated and stored
Features
- Create new users and generate API keys
- View all existing users and their API keys
- Delete users and their API keys
- Copy API keys to clipboard
Using the Admin Interface
- Open
http://localhost:8000/adminin your browser - Enter your admin credentials when prompted
- Use the form to create new users
- View and manage existing users in the table
- Copy API keys using the "Copy" button
- Delete users using the "Delete" button
API Usage
Authentication
All endpoints require API key authentication. Include your API key in the X-API-Key header:
import requests
headers = {
"X-API-Key": "your_api_key_here"
}
response = requests.get("http://localhost:8000/api/news/AAPL", headers=headers)
Example Endpoints
Get News for a Stock
response = requests.get(
"http://localhost:8000/api/news/AAPL",
params={
"sentiment_threshold": 0.2,
"time_range_hours": 24,
"sources": ["reuters", "bloomberg"]
},
headers=headers
)
Documentation
- API Documentation:
/docs(Swagger UI) - ReDoc Documentation:
/redoc - Full API Documentation: API.md
Development
Running Tests
pytest
Code Style
The project follows PEP 8 style guidelines. To check your code:
flake8 .
Contributing
- Fork the repository
- Create a feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
Project Structure
finance-news-api/
โโโ main.py # FastAPI application entry point
โโโ routers/ # API route handlers
โ โโโ news.py # News endpoints
โ โโโ users.py # User registration
โ โโโ admin.py # Admin interface
โโโ services/ # Business logic
โ โโโ yahoo.py # Yahoo Finance integration
โ โโโ news_sources.py # News source integrations
โ โโโ sentiment.py # Sentiment analysis
โ โโโ google.py # Google News integration
โโโ templates/ # HTML templates
โ โโโ admin.html # Admin interface template
โโโ middleware/ # Middleware components
โ โโโ admin_auth.py # Admin authentication
โโโ database.py # Database configuration
โโโ models.py # SQLAlchemy models
โโโ schemas.py # Pydantic models
โโโ auth.py # API key authentication
โโโ tests/ # Test files
โโโ .env # Environment variables
โโโ requirements.txt # Project dependencies
โโโ API.md # API documentation
โโโ README.md # Project documentation
Dependencies
- FastAPI - Web framework
- Uvicorn - ASGI server
- YFinance - Yahoo Finance API
- TextBlob - Sentiment analysis
- BeautifulSoup4 - Web scraping
- Feedparser - RSS feed parsing
- Playwright - Browser automation
- Python-dotenv - Environment management
License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
Support
For support or to request a new API key, please contact:
- Email: pratyushkhanal95@gmail.com
- GitHub: https://github.com/pratyushkhanal
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
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