Search results
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
Unfortunately, json.loads throws a TypeError when the JSON object isn't a str, bytes, or bytearray. This bit me recently because I had thought that JSONDecodeError handled those circumstances, e.g. when the argument to json.loads ends up being None.
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:
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.
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
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:
8 kwi 2024 · The Python "json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)" occurs when we try to parse something that is not valid JSON as if it were. To solve the error, make sure the response or the file is not empty, or conditionally check for the content type before parsing.
