👀 Views: 13 💬 Answers: 1 📅 Created: 2025-08-25

json parsing python Python

I've been researching this but I need some guidance on I'm migrating some code and I'm prototyping a solution and I've hit a wall trying to I'm building a feature where I'm having trouble parsing a complex JSON structure in Python where the keys seem to be causing unexpected behavior... My JSON looks like this: ```json { "user": { "id": 1, "name": "John Doe", "address": { "street": "123 Main St", "city": "Anytown" } }, "posts": [ { "post_id": 101, "content": "Hello World", "tags": ["greeting", "introduction"] }, { "post_id": 102, "content": "Another post", "tags": [] } ] } ``` When I parse this JSON using the `json` library in Python, I'm running into a `KeyError` when trying to access nested fields. Here's what my parsing code looks like: ```python import json json_string = '''{ "user": { "id": 1, "name": "John Doe", "address": { "street": "123 Main St", "city": "Anytown" } }, "posts": [ { "post_id": 101, "content": "Hello World", "tags": ["greeting", "introduction"] }, { "post_id": 102, "content": "Another post", "tags": [] } ] }''' data = json.loads(json_string) try: print(data['user']['address']['city']) # This one works print(data['posts'][0]['content']) # This one also works print(data['posts'][1]['tags'][0]) # KeyError here except KeyError as e: print(f'KeyError: {e}') ``` When I run this code, I get a `KeyError: 0` for the last print statement. I expected it to return an empty list since the second post has no tags, but it seems I'm trying to access a non-existent index. I've tried checking if the 'tags' list is empty before accessing it, but I still get the error. What am I missing here? For reference, this is a production application. Am I approaching this the right way? I'm working on a microservice that needs to handle this. Thanks for any help you can provide! This is happening in both development and production on Windows 10. I'd love to hear your thoughts on this. This issue appeared after updating to Python stable. What's the best practice here? I'm developing on Ubuntu 20.04 with Python.