Hey! For *python json to csv*, pandas is my go-to as well, but yeah, nested JSON can be a pain.
What I do is flatten the JSON first using `json_normalize()` from pandas. It handles nested structures way better. Here's a quick snippet:
```python
import pandas as pd
import json
with open('data.json') as f:
data = json.load(f)
df = pd.json_normalize(data)
df.to_csv('output.csv', index=False)
```
Works like a charm for most cases. If your JSON is super complex, you might need to tweak it a bit, but this should get you started!
What I do is flatten the JSON first using `json_normalize()` from pandas. It handles nested structures way better. Here's a quick snippet:
```python
import pandas as pd
import json
with open('data.json') as f:
data = json.load(f)
df = pd.json_normalize(data)
df.to_csv('output.csv', index=False)
```
Works like a charm for most cases. If your JSON is super complex, you might need to tweak it a bit, but this should get you started!
