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Скачать или смотреть How to Refresh Your API Data Every 5 Seconds with Python

  • vlogize
  • 2025-03-28
  • 24
How to Refresh Your API Data Every 5 Seconds with Python
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Описание к видео How to Refresh Your API Data Every 5 Seconds with Python

Discover how to effectively refresh API data every 5 seconds using Python's requests module and time.sleep function. Perfect for beginners looking to enhance their coding skills!
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This video is based on the question https://stackoverflow.com/q/71061270/ asked by the user 'Trayansh Agarwal' ( https://stackoverflow.com/u/11807278/ ) and on the answer https://stackoverflow.com/a/71061387/ provided by the user 'Suleyman Celik' ( https://stackoverflow.com/u/16949604/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: how to refresh this api so it's get updated every 5 seconds

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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How to Refresh Your API Data Every 5 Seconds with Python

In this guide, we will address a common challenge faced by many developers: Refreshing API data at regular intervals. Specifically, we will focus on how to update data every 5 seconds using Python. This technique can be particularly useful when dealing with real-time data such as cryptocurrency prices.

Understanding the Problem

When you are working with APIs, you might find yourself in a situation where you need to access up-to-date information frequently. For example, if you are monitoring cryptocurrency prices, you want to make sure that you are working with the latest figures. The question we are tackling today is:

How can we refresh this API so it gets updated every 5 seconds?

The initial code you have uses the requests library to make an API call and retrieve the current price of Ethereum in USD. However, it only fetches the data once and doesn't refresh automatically.

The Solution: Using a Loop with Delay

To solve this problem, we can implement a while loop along with the time module to continuously retrieve the data at specified intervals. Let’s break down the solution into organized steps.

Step 1: Import Required Libraries

First, we need to import the necessary libraries:

requests: To make API calls.

time: To create a delay between API calls.

Step 2: Set Up Your API Endpoint and Headers

Next, we will define our API endpoint and the headers required to retrieve the data.

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Create a While Loop

Now we can create a while loop that will keep running indefinitely, fetching and printing the ETH price every 5 seconds.

Step 4: Fetch and Print Data with a Delay

Inside the loop, we will make the API call, extract the data we need, print it, and then use time.sleep(5) to wait for 5 seconds before executing the loop again. Here’s how the complete code looks:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

You now have a simple yet effective script that continuously refreshes the data from the Coinbase API every 5 seconds. This method will allow you to keep your application updated with the latest prices, making it more useful and engaging for users.

Key Takeaways:

Use a while loop to create an ongoing process.

Integrate time.sleep(5) to manage the refresh rate.

Ensure your coding practices include error handling for a robust application.

Feel free to expand upon this code for your own projects, and don’t hesitate to explore additional functionalities like error checking and exception handling for greater robustness!

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