UTF-8, not UTF-8 with Bow to read urls in CSV

Error #1  (line 10, print(row[0]), when it needed print(row) (as in at line 27))

    Snippet #1: (returns KeyError: 'url')
    
        import csv
        
        with open('urlaa.csv', newline='') as csvfile:
            reader = csv.DictReader(csvfile)
            for row in reader:
                print(row[0])
    
    Snippet #1 Error Output:
    
        C:\Users\user\Desktop\urls>python urla.py
        Traceback (most recent call last):
          File "C:\Users\user\Desktop\urls\urla.py", line 6, in <module>
            print(row["url"])
        KeyError: 'url'
  
  
Error #2  (UTF-8 with BOM, need UTF-8 only)

    Snippet #2: lines 35 & 36, (returns {'url' (UTF-8 with BOM characters))
    
        with open('urlaa.csv', newline='') as csvfile:
            reader = csv.DictReader(csvfile)
            for row in reader:
                print(row)
        
            print(row["url"])
    
    Snippet #2 Error Output:
    
        C:\Users\user\Desktop\urls>python urla.py
        {'url': 'https://stackoverflow.com/questions/70139037/reading-list-of-urls-from-csv-for-scraping-with-python-beautifulsoup-pandas'}
        {'url': 'https://stackoverflow.com/questions/53486744/making-async-for-loops-in-python/53487199#53487199'}

Solution  (create a UTF-8 encoded file and use print(row))

After Creating a new "urlaa.txt" file, pasting in it

    import csv
    
    with open('urlaa.csv', newline='') as csvfile:
        reader = csv.DictReader(csvfile)
        for row in reader:
            print(row)

and saving it as UTF-8 with Notepad,
then opening it with Notepad++ and saving it as csv (urlaa.csv)

Got correct output:
C:\Users\user\Desktop\urls>python urla.py
{'url': 'https://stackoverflow.com/questions/70139037/reading-list-of-urls-from-csv-for-scraping-with-python-beautifulsoup-pandas'}
{'url': 'https://stackoverflow.com/questions/53486744/making-async-for-loops-in-python/53487199#53487199'}

Finally the code executed all right and returned the csv.

Working Code:
    
from urllib.request import urlopen
from bs4 import BeautifulSoup
import numpy as np
import pandas as pd
import csv




#GET TEXT
def getPageText(url):
    # given a url, get page content
    data = urlopen(url).read()
    # parse as html structured document
    soup = BeautifulSoup(data, 'html.parser')
    # kill javascript content
    for s in soup(["script", "style"]):
        s.replaceWith('')
    #
    for p in soup.find_all('p')[1]:
        lnk = p.get_text()
        print(lnk)
    #
    # find body and extract text
    p = soup.find("div", attrs={'class': 'article-content retro-folders'})
    p.append(p.get_text())
    x = p.text
    y = x.replace("\r", "").replace("\n", "")
    print(y)
    
    # Compiling the info
    lnktxt_data = [lnk, y]


    
    # Append the info to the complete dataset
    url_txt.append(lnktxt_data)

url_txt = []
    
#Get text from multiple urls    
def main():
    
    with open('urlaa.csv', newline='') as csv_file:
        reader = csv.DictReader(csv_file)
               
        urls = [row["url"] for row in reader]
            
    txt = [getPageText(url) for url in urls]
    for t in txt:
        print(t)
    
if __name__=="__main__":
    main()
    
#FRAME DATA
# Making the dataframe
url_txt = pd.DataFrame(url_txt, columns = ['lnk', 'y'])
 
url_txt.head()
    
#CREATE A FILE
# Save as CSV File
url_txt.to_csv('url_txt.csv',index=False)