How to fill cell by cell of an empty pandas dataframe which has zero columns with a loop?

I need to scrape hundreds of pages and instead of storing the whole json of each page, I want to just store several columns from each page into a pandas dataframe. However, at the beginning when the dataframe is empty, I have a problem. I need to fill an empty dataframe without any columns or rows. So the loop below is not working correctly:

import pandas as pd
import requests


cids = [4100,4101,4102,4103,4104]
df = pd.DataFrame()

for i in cids:
    url_info = requests.get(f'myurl/{i}/profile')
    jdata = url_info.json()
    df['Customer_id'] = i
    df['Name'] = jdata['user']['profile']['Name']
    ...

In this case, what should I do?

Answer

You can solve this by using enumerate(), together with loc:

for index, i in enumerate(cids):
    url_info = requests.get(f'myurl/{i}/profile')
    jdata = url_info.json()
    df.loc[index, 'Customer_id'] = i
    df.loc[index, 'Name'] = jdata['user']['profile']['Name']