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Python projects – COVID19 news and stats

covid19 coronavirus python

About project

A Python script to get the latest Coronavirus news and stats from several sources​

The entire world is fighting against the very recently began Pandemic, which is COVID-19 or Coronavirus. Every day we hear about the effect of this threat as well as various statistics from the internet. In this Python code, I have put all the effort to scrapes data from the world’s top trusted sources such as WHO (World Health Organization), John-Hopkins and Indian Government.

Since all these websites are built with different technology as well as the distinctive data structure, but still I have managed to get information out of all. Firstly, the code will collect top 5 (five) news headlines specific to coronavirus and secondly, the scripts collect data such as the total number of active coronavirus patients, how many have been recovered so far and the unfortunate demises. From each website, the same pieces of information are collected and are represented in the tabular form on the console window.

Now as a user, we get information about each instance from three sources (thus 3 data for one instance). This helps us to estimate specific numbers (or say mean value). Look at the video to get complete information.

YouTube Video

Python code


from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import datetime, time, os

td = datetime.date.today()

# create a webdriver object for chrome-option and configure
wait_imp = 10
CO = webdriver.ChromeOptions()
CO.add_experimental_option('useAutomationExtension', False)
CO.add_argument('--ignore-certificate-errors')
CO.add_argument('--start-minimized') #maximized
wd = webdriver.Chrome(r'D:\Learning\Practice\Selenium\chromedriver.exe',options=CO)

# Format for printing output
print ("Connecting to Authentic News source, Please wait .....\n")
news_site = "https://news.google.com/topics/CAAqIggKIhxDQkFTRHdvSkwyMHZNREZqY0hsNUVnSmxiaWdBUAE?hl=en-IN&gl=IN&ceid=IN%3Aen"

print ("Date:",td.strftime("%b-%d-%Y"))
print ("--------------------------------------------------------------------------------------------")
print ("       >>>>>>>>>>>>>>>>>>> INDIA's TOP 5 NEWS HEADLINES on CORONAVIRUS <<<<<<<<<<<<<<       ")
print ("--------------------------------------------------------------------------------------------\n")

wd.get(news_site)
wd.implicitly_wait(wait_imp)
cov_news = wd.find_elements_by_tag_name('h3')

# To get top 5 news headlines
n_ind = 0
for news in cov_news:
    print ('>> '+ news.text, end='\n')
    n_ind += 1
    if n_ind > 4:  # Increase the number to get more top newsheadlines --> Replace 4 by any other value
        break
print ('\n')

# For Coronavirus stats
site2 = "https://www.worldometers.info/coronavirus/country/india/"
site3 = "https://www.mohfw.gov.in/"
site4 = "https://www.grainmart.in/news/coronavirus-covd-19-live-cases-tracker-john-hopkins/" #Johns Hopkins stats

print ("--------------------------------------------------------------------------------------------")
print ("                Getting CORONAVIRUS stats from various sources (India)                      ")
print ("--------------------------------------------------------------------------------------------\n")
print ("Source Name  --   Total Case  --  Recovered  --  Death")
print ("___________       __________      _________      ______      Please wait .. while collecting data")

wd.get(site2)
wd.implicitly_wait(wait_imp)
c2 = wd.find_elements_by_class_name("maincounter-number")
total_2 = c2[0].text
Death_2 = c2[1].text
Recovered_2 = c2[2].text
print ("Worldometers       {}          {}           {} ".format(total_2,Recovered_2,Death_2))

wd.get(site3)
wd.implicitly_wait(wait_imp)
total_3 = wd.find_element_by_xpath("/html/body/div/div/section[1]/div/div/div/div/ul/li[1]/strong")
Death_3 = wd.find_element_by_xpath("/html/body/div/div/section[1]/div/div/div/div/ul/li[3]/strong")
Recovered_3 = wd.find_element_by_xpath("/html/body/div/div/section[1]/div/div/div/div/ul/li[2]/strong")
print ("Government         {}             {}           {} ".format(total_3.text,Recovered_3.text,Death_3.text))

wd.get(site4)
wd.implicitly_wait(wait_imp)
total_4 = wd.find_element_by_xpath("/html/body/div/div[1]/div/div/div/main/div/div/figure/table/tbody/tr[1]/td[2]/strong")
Death_4 = wd.find_element_by_xpath("/html/body/div/div[1]/div/div/div/main/div/div/figure/table/tbody/tr[1]/td[4]/strong")
Recovered_4 = wd.find_element_by_xpath("/html/body/div/div[1]/div/div/div/main/div/div/figure/table/tbody/tr[1]/td[5]/strong")
print ("Johns-Hopkins      {}            {}           {} \n".format(total_4.text,Recovered_4.text,Death_4.text))

wd.get("https://www.who.int/emergencies/diseases/novel-coronavirus-2019")
wd.implicitly_wait(wait_imp)
w_total = wd.find_element_by_id("confirmedCases")
w_death = wd.find_element_by_id("confirmedDeaths")
total_c = wd.find_element_by_id("involvedCountries")
print("WHO-Global         {}      No-data        {}         \n" .format(w_total.text ,w_death.text))

print ("Total Countries affected: ", total_c.text)



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