write urls in excel using pandas in python

I have a demo xls sheet which consist of a column named "Date" in which both date and time are given. I have some videos saved on the cloud with epoch as its name(ie. 1580984820_1580984820.mp4). now I want to write the urls of these videos in the same excel sheet. I made a python code for this but there is some error in the logic which i dont know how to solve.

CODE

ACCESS_KEY = 'xyz'

SECRET_KEY = 'abc'

session = Session(aws_access_key_id=ACCESS_KEY, aws_secret_access_key=SECRET_KEY)

s3 = session.resource('uv')

your_bucket = s3.Bucket('pqr')

df = pd.read_excel('new.xls')       ## with only column named as "Date"##

for date_times in df["Date"]:

pattern1 = '%d/%m/%Y %H:%M:%S'
full_epoch = int(time.mktime(time.strptime(date_times, pattern1)))  ##Converting dates into epoch time ##
full_epoch += 43200  ## Just to match with the folder name on cloud
date = date_times.split("")[0] 
dates = date.replace('/', '-')
pattern2 = '%d-%m-%Y'
date_epoch = int(time.mktime(time.strptime(dates, pattern2)))
dates_epoch = date_epoch + 46800  ##Because the name of the folder is the epoch time of that date##


for s3_file in `your_bucket.objects.filter(Delimiter='/', Prefix='path/to/the/folder/'):`

    s3_new=s3_file.key

    s3_new=s3_new.split("/")[-1]  ## video file names are in 1234567890_1234567890.mp4 format with 1234567890 being the start time of the video.

    video_epoch=s3_new.split('_')[0] 

    if int(full_epoch) - int(vid_epoch) == 0 : ## to sort the video url link to only one, so that only one video url gets printed after every date ##
    video_url = str("url_of_the_video")
    df["Video URL"] = video_url
    df.to_excel("new.xls")

The problem I am facing is that I am not able to write different URLs for different entries. Also what I want do is the code should check for 10-20 entries only in the datasheet at once.