$ python3 -V
Python 3.8.6

$ pip3 install beautifulsoup4

from urllib.request import urlopen
from bs4 import BeautifulSoup

url = "http://www.nikkei.com/markets/kabu/"

html = urlopen(url).read()
soup = BeautifulSoup(html, "html.parser")

nikkei_heikin = soup.find("span", class_="mkc-stock_prices").string
print(nikkei_heikin)

$ pip3 install beautifulsoup4
$ pip3 install apscheduler
$ pip3 install requests

import csv
import datetime

import requests
from apscheduler.schedulers.blocking import BlockingScheduler
from bs4 import BeautifulSoup

sched = BlockingScheduler()

#Run every hour
# @sched.scheduled_job('interval', hours=1)


#Run at 0 minutes every hour
@sched.scheduled_job("cron", minute=0, hour="*/1")
def scheduled_job():

    #Access the Nikkei Stock Average page of the Nihon Keizai Shimbun and get the HTML
    r = requests.get("http://www.nikkei.com/markets/kabu/")
    r.raise_for_status()

    #Get the Nikkei Stock Average using Beautiful Soup
    soup = BeautifulSoup(r.text, "html.parser")
    nikkei_heikin = soup.select_one(
        "#CONTENTS_MARROW > div.mk-top_stock_average.cmn-clearfix > div.cmn-clearfix > div.mkc-guidepost > div.mkc-prices > span.mkc-stock_prices"
    ).get_text(strip=True)

    #Convert the current time to a string
    now = datetime.datetime.now().strftime("%Y/%m/%d %H:%M:%S")

    print(f"{now} {nikkei_heikin}"

    #Add the date and time and the Nikkei Stock Average to CSV
    with open("nikkei_heikin.csv", "a") as fw:
        writer = csv.writer(fw, dialect="excel", lineterminator="\n")
        writer.writerow([now, nikkei_heikin])


sched.start()

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