Catch Json Javascript Parsing Error

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Many developers store program data in a JSON file ; other programs refer to APIs that require you to work with JSON. In fact, you will have no problem finding a use case for JSON dictionaries, or its Python equivalent.

You may encounter a JSONDecodeError when working with JSON data. In this guide, we are going to talk about the causes of a JSONDecodeError and how to fix it.

Python JSONDecodeError

A Python JSONDecodeError indicates that there is a problem with the way your JSON data. For example, your JSON data might be missing a curly brace, or have a key that has no value, or some other piece of syntax is missing.

To completely correct a JSONDecodeError, you must enter a JSON file to see what the problem is. If you anticipate other problems in the future, you can use a try ... block except to handle your JSONDecodeError.

Followed by the JSONDecodeError keyword, you should see a short description describing the cause of the error.

All correctly formatted JSON should look like this:

" value " can be any valid JSON value, such as a list, string, or other JSON object.

A sample scenario

We are building a program that stores a list of JSON objects that represent which computers have been assigned to employees of a company. Each JSON object should look like this:

We store these JSON objects in a file called equipment.json. The file contains only one entry:

To read this data in our program, we can use the json module:

Let’s start by importing the json module that we use to read a JSON file. Next, we use an open () statement to read the contents of our JSON file. We print a message to the console telling us that the device data has been retrieved after our with statement is executed.

Let’s run our code and see what happens:

Our code returns an error r long. We see that Python describes the cause a of our error after the term JSONDecodeError.

The solution

Our JSONDecodeError tells us that a colon is missing (:) in our JSON data. These two dots should appear on row four of column 16. If we look at this row of data in our equipment.json file, we can see that our JSON is not valid:

The colon is missing in our code. To correct this error we need to add the colon:

Now that we have solved the problem with the way our data is represented, we can try to restart our program:

Our code is working fine.

Alternatively, we could use a try ... handler except to handle this problem so that our code does not immediately throw an error if we encounter another formatting problem:

S and there is an error in our JSON data, this program will return:

Otherwise, the program will read the data and then display the following text on the console:

Conclusion

The Python JSONDecodeError indicates that there is a problem with the way a JSON object is formatted. To fix this error, you should read the error message and use it as a guide to fix your JSON data. Alternatively, you can use a try ... block except to detect and handle the error.

Would you like to learn more about coding Python ? Read our guide on How to Learn Python. You will find expert advice on how to learn Python and a list of learning resources to help you expand your knowledge .

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We hope this article has helped you to resolve the problem. Apart from Catch Json Javascript Parsing Error, check other __future__ Python module-related topics.

Want to excel in Python? See our review of the best Python online courses 2023. If you are interested in Data Science, check also how to learn programming in R.

By the way, this material is also available in other languages:



Boris Jackson

San Francisco | 2023-04-01

Maybe there are another answers? What Catch Json Javascript Parsing Error exactly means?. Will get back tomorrow with feedback

Marie Emmerson

San Francisco | 2023-04-01

Simply put and clear. Thank you for sharing. Catch Json Javascript Parsing Error and other issues with stat Python module was always my weak point 😁. Will get back tomorrow with feedback

Chen Chamberlet

Massachussetts | 2023-04-01

I was preparing for my coding interview, thanks for clarifying this - Catch Json Javascript Parsing Error in Python is not the simplest one. I just hope that will not emerge anymore

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