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Скачать или смотреть How to Extract JSON List Values from a Flask GET Request

  • vlogize
  • 2025-04-13
  • 0
How to Extract JSON List Values from a Flask GET Request
How to extract JSON list values from a Flask GET request?pythonflaskget
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Описание к видео How to Extract JSON List Values from a Flask GET Request

Learn how to properly extract JSON list values from a Flask GET request to an ExpressJS application, avoiding common pitfalls and errors you may encounter.
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This video is based on the question https://stackoverflow.com/q/69248569/ asked by the user 'Nav' ( https://stackoverflow.com/u/453673/ ) and on the answer https://stackoverflow.com/a/69248593/ provided by the user 'Nav' ( https://stackoverflow.com/u/453673/ ) 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 extract JSON list values from a Flask GET request?

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 Extract JSON List Values from a Flask GET Request

When building web applications, we often have to deal with different services communicating with one another. In this post, we will address a common issue faced when working with Flask and ExpressJS applications — extracting JSON list values from a Flask GET request.

The Problem

In a scenario where you have a Flask app that needs to obtain a list of strings from an ExpressJS app, you might run into challenges, like the dreaded json.decoder.JSONDecodeError. This error typically indicates that the response you received from the GET request is not in a valid JSON format or that it might be empty when you try to decode it.

Here’s a simplified example of the problem:

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

And in the ExpressJS app:

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

You may encounter an error indicating that the response is not properly formatted or contains unexpected content.

Diagnosing the Issue

The root cause of this issue is often related to how the data is structured in the response from the ExpressJS server and how you handle it in Flask:

Empty or Incorrect JSON Response: If the Express app is not responding with correctly formatted JSON, Flask will have trouble interpreting it.

Data Structure Expectations: Ensure that the server returns data in a way (e.g., an array or a dictionary) that the Flask app can process correctly.

To resolve these issues, we’ll make some adjustments in both the Flask and ExpressJS applications.

The Solution

Step 1: Update Your ExpressJS App

Let’s start by ensuring your ExpressJS app returns a valid JSON response in a format that’s easily consumable. Instead of sending an array, switch to sending a dictionary (object):

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

Step 2: Update Your Flask App

Next, modify your Flask application to correctly extract values from the dictionary response instead of trying to handle it as an array:

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

Key Changes Explained

Response Format: By returning the data as a dictionary in the ExpressJS app, we ensure that it's properly formatted as JSON.

Loop through Dictionary: In the Flask app, we loop through the keys of the dictionary to retrieve and store the values correctly, avoiding any index-related issues.

Conclusion

Now that you’ve updated both your Flask and ExpressJS applications, you should be able to extract JSON list values from the GET request successfully, eliminating any JSONDecodeError and ensuring smooth data handling between your services.

By following the outlined steps, you equip your applications with robust error handling and ensure that data is transmitted and processed in a reliable format. Keep testing your applications for different scenarios to prevent potential issues down the line!

Happy coding!

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