Posted on Mar 29, 2020 • Edited on Aug 11, 2020

Covid19 live tracker

#webscraping #python #webdev

aletisunil / Covid19_liveTracker

Scraps data from website, regarding Covid19 status

Requirements for scraping a site

Requests - Used to send all kinds of HTTP requests
BeautifulSoup - Used for pulling data out of HTML and XML files
lxml - Which allows easy handling of HTML and XML files

In this article, we will see how we scraped worldometers.info

1) First, you need to install all required modules for scraping a site
2) Open your favourite text editor, In my case I used VSCODE
3) Now let's code, First import requests, and bs4 modules by using import keyword

import requests import bs4 country_name=input("Enter the Country name: ") def covid19(country): res = requests.get("https://www.worldometers.info/coronavirus/#countries") soup = bs4.BeautifulSoup(res.text, 'lxml') index = -1 data=soup.select('tr td') for i in range(len(data)): if data[i].text.lower()==country.lower(): index=i break for i in range(7): if i == 0: print("\nCountry name: "+str(data[i+index].text)) elif i == 1: print("Total cases: "+str(data[i+index].text)) elif i == 2: if data[i+index].text == '': print("New cases: 0") else: print("New cases: "+str(data[i+index].text)) elif i == 3: print("Total deaths: "+str(data[i+index].text)) elif i == 4: if data[i+index].text == '': print("New deaths: 0") else: print("New deaths: "+str(data[i+index].text)) elif i == 5: print("Total Recovered: "+str(data[i+index].text)) elif i == 6: print("Active cases: "+str(data[i+index].text),end='\n\n') covid19(country_name)

4) Now save this code, in my case i saved it with "Covid19_liveTracker.py"
5) Now you can execute this python script by typing
python Covid19_liveTracker.py

let me know, if you face any errors or problems, Happy Quarantine
Stay Home, Stay Safe.
Hope this problem gets resolves very soon :)

Top comments (6)

Alan Wilson • Mar 29 '20

Sorry, since it didn't work out of the box for me - I was running Python 2.7.17 - I had to play around with it for a while to remove the syntax errors...and...well, one thing led to another :) Still, I learned quite a bit here including how to post code. Never done anything in python before so here goes (without my comments to keep the code clean):

import requests import bs4 def covid19(country): res = requests.get("https://www.worldometers.info/coronavirus/#countries") soup = bs4.BeautifulSoup(res.text, 'lxml') data=soup.select('tr td') index = find_country(data,country) if index == -1: print("This country does not exist\n\n") else: Dict = load_country_data(data, index) print_country_data(Dict) def find_country(data, country): if country.lower() == "world": country = "Total:" for i in range(len(data)): if data[i].text.lower()==country.lower(): return i return -1 def load_country_data(data, index): Dict = {'name': data[index].text, 'tot_cases': get_int(data[index+1].text), 'new_cases': get_int(data[index+2].text), 'tot_deaths': get_int(data[index+3].text), 'new_deaths': get_int(data[index+4].text), 'recovered': get_int(data[index+5].text), 'active': get_int(data[index+6].text)} return Dict def print_country_data(country_data): print("Found \n") print(country_data['name']) print('=' * len(country_data['name'])) print("Total Cases : {0:9,d}".format(country_data['tot_cases'])) print("New Cases : {0:+9,d}".format(country_data['new_cases'])) print("Total Deaths : {0:9,d}".format(country_data['tot_deaths'])) print("New Deaths : {0:+9,d}".format(country_data['new_deaths'])) print("Total Recovered: {0:9,d}".format(country_data['recovered'])) print("Active Cases : {0:9,d}".format(country_data['active'])) print("\n\n") def get_int(str): s = str.strip() return int(s.replace(',','').replace('+','')) if s else 0 country_name=raw_input("Enter the Country name: ") covid19(country_name)

salah youmir • Mar 29 '20

Thank you,
I would add a small elif to manage the case of a wrong country name input.
put the country_name=input("Enter the Country name: ") inside the function
and add an else statement :

else:
print("This country doesn't exist")
covid19()

Thank you for this article, looking forward to read more from you