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OilPriceAPI Python SDK Documentation

Welcome to the official Python SDK for OilPriceAPI - the most affordable way to access professional-grade oil and commodity price data.

🚀 Getting Started

Installation

Install the SDK using pip:

pip install oilpriceapi

Get Your API Key

  1. Sign up for free at OilPriceAPI
  2. Get your API key from the dashboard
  3. Start making requests immediately

Quick Example

from oilpriceapi import OilPriceAPI

# Initialize with your API key
client = OilPriceAPI(api_key="your_api_key")

# Get latest Brent Crude price
price = client.prices.get("BRENT_CRUDE_USD")
print(f"Brent Crude: ${price.value:.2f}")

📚 Core Features

Real-Time Price Data

Get the latest commodity prices updated every 5 minutes:

# Single commodity
brent = client.prices.get("BRENT_CRUDE_USD")

# Multiple commodities
prices = client.prices.get_multiple([
    "BRENT_CRUDE_USD",
    "WTI_USD",
    "NATURAL_GAS_USD"
])

View all available commodities →

Historical Data

Access years of historical price data for backtesting and analysis:

# Get historical data
df = client.prices.to_dataframe(
    commodity="BRENT_CRUDE_USD",
    start="2024-01-01",
    end="2024-12-31",
    interval="daily"
)

# Analyze trends
print(df.describe())

Learn about historical endpoints →

Technical Analysis

Built-in technical indicators for trading strategies:

# Add moving averages, RSI, MACD
df = client.analysis.with_indicators(
    df,
    indicators=["sma_20", "sma_50", "rsi", "bollinger_bands"]
)

# Calculate spread between commodities
spread = client.analysis.spread("BRENT_CRUDE_USD", "WTI_USD")

Async Support

High-performance async operations for concurrent requests:

import asyncio
from oilpriceapi import AsyncOilPriceAPI

async def get_all_prices():
    async with AsyncOilPriceAPI() as client:
        prices = await asyncio.gather(
            client.prices.get("BRENT_CRUDE_USD"),
            client.prices.get("WTI_USD"),
            client.prices.get("NATURAL_GAS_USD")
        )
        return prices

prices = asyncio.run(get_all_prices())

🎯 Use Cases

Energy Trading

Build algorithmic trading strategies with real-time price feeds and historical data for backtesting.

Explore trading examples →

Financial Analysis

Integrate commodity prices into financial models and risk management systems.

View financial use cases →

Research & Analytics

Analyze long-term price trends, correlations, and market dynamics for academic or commercial research.

See research applications →

Web & Mobile Apps

Embed live commodity price widgets and charts in your applications.

Explore integration guides →

📊 Available Commodities

Crude Oil

  • Brent Crude (BRENT_CRUDE_USD) - International benchmark
  • WTI (WTI_USD) - US benchmark
  • Dubai Crude (DUBAI_CRUDE_USD) - Middle East benchmark

Natural Gas

  • Natural Gas (NATURAL_GAS_USD) - Henry Hub spot price
  • LNG (LNG_USD) - Liquefied natural gas

Refined Products

  • Diesel (DIESEL_USD)
  • Gasoline (GASOLINE_USD)
  • Heating Oil (HEATING_OIL_USD)
  • Jet Fuel (JET_FUEL_USD)

View complete commodity list →

🔧 Advanced Configuration

Authentication

# Environment variable (recommended)
export OILPRICEAPI_KEY="your_api_key"
client = OilPriceAPI()

# Direct configuration
client = OilPriceAPI(
    api_key="your_api_key",
    timeout=30,
    max_retries=3
)

Caching

# In-memory caching
client = OilPriceAPI(
    cache="memory",
    cache_ttl=300  # 5 minutes
)

# Redis caching
client = OilPriceAPI(
    cache="redis",
    cache_url="redis://localhost:6379"
)

Error Handling

from oilpriceapi.exceptions import (
    OilPriceAPIError,
    RateLimitError,
    DataNotFoundError
)

try:
    price = client.prices.get("BRENT_CRUDE_USD")
except RateLimitError as e:
    print(f"Rate limited. Resets in {e.seconds_until_reset}s")
except DataNotFoundError:
    print("Commodity not found")
except OilPriceAPIError as e:
    print(f"API error: {e}")

💰 Pricing & Plans

Choose the plan that fits your needs:

Free Tier

  • 1,000 API requests/month
  • Real-time data
  • No credit card required

Start free →

  • Exploration: $15/month - 10,000 requests
  • Production Boost: $45/month - 50,000 requests
  • Reservoir Mastery: $129/month - 250,000 requests

All plans include: - ✅ Real-time price updates every 5 minutes - ✅ Historical data access - ✅ 99.9% uptime SLA - ✅ Email support - ✅ No hidden fees

View detailed pricing →

🛠️ Development

Testing Your Integration

from oilpriceapi.testing import MockClient

def test_trading_strategy():
    # Create mock client
    client = MockClient()
    client.set_price("BRENT_CRUDE_USD", 75.50)

    # Test your code
    result = my_strategy(client)
    assert result.action == "BUY"

Running Tests

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# With coverage
pytest --cov=oilpriceapi --cov-report=html

📖 Additional Resources

Documentation

Support

Learning

  • Blog - Industry insights and tutorials
  • Use Cases - Learn how others use the API
  • Changelog - SDK version history

🤝 Contributing

We welcome contributions! Check out our Contributing Guide to get started.

📝 License

MIT License - see LICENSE file for details.

Ready to get started? Sign up for your free API key →

Questions? Contact our support team →

Want to learn more? Visit OilPriceAPI.com →