scrape individual state data from https://coronadata.at used for this answer https://opendata.stackexchange.com/a/18094/1511

at.20200927.csv

scrape_coronadata_at.py

import requests
import pandas as pd

# scraping individual states from:
# https://www.coronatracker.at/

# manually got each state's name from the site dropdown Bundesländer 
states = ['burgenland','kaernten','niederoesterreich','oberoesterreich',
			'salzburg','steiermark','tirol','vorarlberg','wien']

headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36'}
s = requests.Session()
url_base = 'https://www.coronatracker.at/'

big_df = []
# loop over all states, aka url paths
for state in states:
	print(state)
	url = url_base + state

	# make request
	r = s.get(url, headers=headers)

	# convert html to dataframe, thanks pandas
	# add [0] because read_html() returns a list of dataframes
	df = pd.read_html(r.content)[0]

	# add state to dataframe
	df['state'] = state
	df['url'] = url

	# add to list of states
	big_df.append(df)

# concat all dataframes
df = pd.concat(big_df)

df.to_csv('at.csv',index=False)
#print(df)