The Easiest Way to Get Uranium Nov 2025 (UXX25) Historical Rates via Web Scraping

In the ever-evolving landscape of financial data, accessing historical prices for metals like Uranium (UXX25) has become increasingly vital for developers and analysts alike. One of the most efficient ways to obtain this data is through the Metals-API. This powerful API provides a comprehensive suite of endpoints that allow users to retrieve real-time and historical rates for various metals, including Uranium. In this blog post, we will explore how to effectively utilize the Metals-API to access historical prices, including example endpoints, parameters, and data formats.

Understanding Metals-API

The Metals-API Documentation offers a wealth of information about the capabilities of this API. It is designed to empower developers to build next-generation applications that require real-time and historical data on metal prices. The API supports a wide range of metals, including precious metals like Gold (XAU), Silver (XAG), and Platinum (XPT), as well as industrial metals.

Key Features of Metals-API

Metals-API provides several key features that make it a valuable resource for developers:

Latest Rates Endpoint: This endpoint returns real-time exchange rate data for metals, updated at intervals depending on your subscription plan. This feature is crucial for applications that require up-to-the-minute pricing information.
Historical Rates Endpoint: Access historical rates dating back to 2019 by appending a specific date to your API request. This is particularly useful for analyzing trends over time.
Bid and Ask Endpoint: Retrieve real-time bid and ask prices for metals, allowing for better market analysis and trading strategies.
Convert Endpoint: Easily convert amounts between different metals or to/from USD, facilitating seamless transactions and calculations.
Time-Series Endpoint: Query for daily historical rates between two dates, enabling comprehensive analysis of price movements over time.
Fluctuation Endpoint: Track how metal prices fluctuate on a day-to-day basis, providing insights into market volatility.
Open/High/Low/Close (OHLC) Price Endpoint: Get detailed OHLC data for specific time periods, which is essential for technical analysis.
Historical LME Endpoint: Access historical rates for LME symbols dating back to 2008, which is invaluable for understanding long-term market trends.
API Key: Each user is assigned a unique API key, which must be included in requests to authenticate and authorize access to the API.
API Response: The API returns data in a standardized JSON format, making it easy to parse and integrate into applications.
News Endpoint: Retrieve the latest news articles related to various metals, keeping you informed about market developments.

Accessing Historical Rates for Uranium (UXX25)

To access historical rates for Uranium (UXX25), you will primarily use the Historical Rates Endpoint. This endpoint allows you to specify a date and retrieve the corresponding historical price data. The API response will include the price of Uranium relative to USD, along with a timestamp and other relevant information.

Example of Historical Rates Endpoint

Here’s how you can structure your API request to access historical rates:

GET https://metals-api.com/api/historical?access_key=YOUR_API_KEY&date=2025-11-29&symbols=UXX25

The response from this request might look like this:

{
"success": true,
"timestamp": 1764432050,
"base": "USD",
"date": "2025-11-29",
"rates": {
"UXX25": 0.000485
},
"unit": "per troy ounce"
}

In this response:

success: Indicates whether the request was successful.
timestamp: The time at which the data was retrieved.
base: The base currency for the rates (USD in this case).
date: The date for which the historical rate is provided.
rates: An object containing the historical price of Uranium (UXX25) per troy ounce.
unit: The unit of measurement for the price.

Utilizing the Time-Series Endpoint

For a more comprehensive analysis, you may want to utilize the Time-Series Endpoint. This allows you to retrieve daily historical rates for Uranium over a specified period. This is particularly useful for identifying trends and patterns in pricing.

Example of Time-Series Endpoint

To access a time series of historical rates, your API request would look like this:

GET https://metals-api.com/api/timeseries?access_key=YOUR_API_KEY&start_date=2025-11-23&end_date=2025-11-30&symbols=UXX25

The response might be structured as follows:

{
"success": true,
"timeseries": true,
"start_date": "2025-11-23",
"end_date": "2025-11-30",
"base": "USD",
"rates": {
"2025-11-23": {
"UXX25": 0.000485
},
"2025-11-25": {
"UXX25": 0.000483
},
"2025-11-30": {
"UXX25": 0.000482
}
},
"unit": "per troy ounce"
}

In this response:

timeseries: Indicates that the response contains time series data.
start_date: The beginning date of the requested time series.
end_date: The end date of the requested time series.
rates: An object containing the historical prices for each date within the specified range.

Advanced Features and Use Cases

Beyond basic historical data retrieval, the Metals-API offers several advanced features that can enhance your data analysis capabilities:

Fluctuation Endpoint: This endpoint allows you to track how the price of Uranium fluctuates between two dates. This is particularly useful for understanding market volatility and making informed trading decisions.
OHLC Endpoint: The Open/High/Low/Close (OHLC) data provides a detailed view of price movements over a specific period, which is essential for technical analysis and forecasting.
Bid/Ask Endpoint: Accessing current bid and ask prices can help traders make timely decisions based on real-time market conditions.

Example of Fluctuation Endpoint

To track fluctuations, you can use the following API request:

GET https://metals-api.com/api/fluctuation?access_key=YOUR_API_KEY&start_date=2025-11-23&end_date=2025-11-30&symbols=UXX25

The response may look like this:

{
"success": true,
"fluctuation": true,
"start_date": "2025-11-23",
"end_date": "2025-11-30",
"base": "USD",
"rates": {
"UXX25": {
"start_rate": 0.000485,
"end_rate": 0.000482,
"change": -3.0e-6,
"change_pct": -0.62
}
},
"unit": "per troy ounce"
}

In this response:

start_rate: The price at the beginning of the specified period.
end_rate: The price at the end of the specified period.
change: The absolute change in price.
change_pct: The percentage change in price over the specified period.

Best Practices for Using Metals-API

When working with the Metals-API, consider the following best practices to optimize your experience:

Rate Limiting: Be aware of your subscription plan's rate limits to avoid exceeding your quota. Implementing caching strategies can help reduce the number of API calls.
Error Handling: Always implement error handling in your application to gracefully manage API errors and provide meaningful feedback to users.
Data Validation: Validate the data received from the API to ensure it meets your application's requirements before processing it further.
Security Considerations: Keep your API key secure and avoid exposing it in client-side code. Use server-side requests whenever possible.

Conclusion

Accessing historical rates for Uranium (UXX25) through the Metals-API is a straightforward process that can yield valuable insights for developers and analysts alike. By leveraging the various endpoints offered by the API, you can obtain real-time data, historical prices, and detailed fluctuations, all of which are essential for informed decision-making in the metal markets. Whether you are building a trading application, conducting market analysis, or simply seeking to understand price trends, the Metals-API provides the tools necessary to succeed.

For more information on how to get started, visit the Metals-API Documentation and explore the Metals-API Supported Symbols for a comprehensive list of available metals. With the right tools and knowledge, you can harness the power of real-time metals data to drive your projects forward.

Ready to use Metals-API?

Try it now!

The Easiest Way to Get Uranium Nov 2025 (UXX25) Historical Rates via Web Scraping