A common approach is to parse the JSON response and convert it into a DataFrame, then export it to Excel.

In Python, this is usually done with requests and pandas:

import requests
import pandas as pd

url = "https://api.example.com/data"
response = requests.get(url)

data = response.json()

df = pd.json_normalize(data)
df.to_excel("output.xlsx", index=False)

pd.json_normalize() helps flatten nested JSON structures into a tabular format, which makes it easier to export to Excel.

For more complex APIs with deeply nested fields, you may need to select specific keys or further transform the JSON before creating the DataFrame.