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  1. 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.

  2. If the response can be treated as a JSON string, then you can process it with: import json data = json.loads(r.text) Note: You can also check the content-type and Accept headers to ensure the request and response are in the required datatype

  3. 2 dni temu · Decode a JSON document from s (a str beginning with a JSON document) and return a 2-tuple of the Python representation and the index in s where the document ended. This can be used to decode a JSON document from a string that may have extraneous data at the end.

  4. The loads() method is used to decode the JSON string into a Python dictionary. If the JSON content is invalid, you’ll receive the JSONDecodeError: Expecting value error, as shown in this example:

  5. 1 lut 2023 · A JSONDecodeError: Expecting value: line 1 column 1 (char 0) when running Python code means you are trying to decode an invalid JSON string. This error can happen in three different cases: Case 1: Decoding invalid JSON content Case 2: Loading an empty or invalid .json file Case 3: A request you made didn’t return a valid JSON

  6. 24 sie 2023 · Python JSONDecodeError. JSONDecodeError is an error that occurs when the JSON data is invalid, such as having missing or extra commas, missing brackets, or other syntax errors. This error is typically raised by the json.loads () function when it’s unable to parse the JSON data.

  7. Decode a JSON document from s (a str beginning with a JSON document) and return a 2-tuple of the Python representation and the index in s where the document ended. This can be used to decode a JSON document from a string that may have extraneous data at the end.

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