Adding a static header in a csv file to fill all rows with a word

I am collecting names and numbers and exporting it into a csv file.

column A is = names column B is = numbers

How can I get column c to fill all rows with “Phoenix” so that every column that has a name or number in it column c would say phoenix?

import csv

import requests
from bs4 import BeautifulSoup


realtor_data = []

for page in range(1, 6):
    print(f"Scraping page {page}...")
    url = f"https://www.realtor.com/realestateagents/phoenix_az/pg-{page}"
    soup = BeautifulSoup(requests.get(url).text, "html.parser")

    for agent_card in soup.find_all("div", {"class": "agent-list-card clearfix"}):
        name = agent_card.find("div", {"class": "agent-name text-bold"}).find("a")
        number = agent_card.find("div", {"itemprop": "telephone"})
        realtor_data.append(
            [
                name.getText().strip(),
                number.getText().strip() if number is not None else "N/A"
                
             ],
        )

with open("data.csv", "w") as output:
    w = csv.writer(output)
    w.writerow(["NAME:", "PHONE NUMBER:", "CITY:"])
    w.writerows(realtor_data)

Answer

There is the columns c with phoenix.

import csv

import requests
from bs4 import BeautifulSoup


realtor_data = []

for page in range(1, 6):
    print(f"Scraping page {page}...")
    url = f"https://www.realtor.com/realestateagents/phoenix_az/pg-{page}"
    soup = BeautifulSoup(requests.get(url).text, "html.parser")

    for agent_card in soup.find_all("div", {"class": "agent-list-card clearfix"}):
        name = agent_card.find("div", {"class": "agent-name text-bold"}).find("a")
        number = agent_card.find("div", {"itemprop": "telephone"})
        realtor_data.append(
            [
                name.getText().strip(),
                number.getText().strip() if number is not None else "N/A"
                
             ],
        )

with open("data.csv", "w") as output:
    w = csv.writer(output)
    w.writerow(["NAME:", "PHONE NUMBER:", "CITY:"])
    w.writerows(realtor_data)

import pandas as pd
a=pd.read_csv("data.csv")
a2 = a.iloc[:,[0,1]]
a3 = a.iloc[:,[2]]
a3 = a3.fillna("phoenix")
b=pd.concat([a2,a3],axis=1)
b.to_csv("data.csv")