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If you don't mind importing the json module, then the best way to handle it is through json.JSONDecodeError (or json.decoder.JSONDecodeError as they are the same) as using default errors like ValueError could catch also other exceptions not necessarily connected to the json decode one.
In this case, the URL you are requesting is either not responding with a proper JSON or not explicitly saying it is responding with a JSON. You can first check the response sent by the URL by: data = r.text print(data)
In most cases your json.loads - JSONDecodeError: Expecting value: line 1 column 1 (char 0) error is due to : non-JSON conforming quoting. XML/HTML output (that is, a string starting with <), or. incompatible character encoding.
3 lip 2024 · In this tutorial, you'll learn how to read and write JSON-encoded data in Python. You'll begin with practical examples that show how to use Python's built-in "json" module and then move on to learn how to serialize and deserialize custom data.
22 lut 2021 · A Python JSONDecodeError indicates there is an issue with the way in which your JSON data is formatted. For example, your JSON data may be missing a curly bracket, or have a key that does not have a value, or be missing some other piece of syntax.
Here’s an example of how to load a .json file and handle any errors: import json try: with open ('example.json', 'r') as f: data = json.load (f) except json.JSONDecodeError: print ("Invalid JSON content.") except FileNotFoundError: print ("File not found.") This code will catch any JSONDecodeError that occurs while loading the .json file.
20 lut 2024 · A common way in Python scripts is to use try + except to catch errors. The "try" part runs the code you want to run, in this case the json.loads line. The "except" part handles a potential error of the try part. Let's use the JSONDecodeError seen in the previous output: try: data = json.loads (output) except JSONDecodeError as e:
