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Scraping covid 19 case data from worldmetrics (bangladesh)
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import requests | |
from bs4 import BeautifulSoup | |
import re | |
URL = 'https://www.worldometers.info/coronavirus/country/bangladesh' #change the url for other countries | |
page = requests.get(URL) | |
soup = BeautifulSoup(page.content, 'html.parser') #makes a soup bs object | |
results = soup.find(class_='content-inner') | |
cases =results.find_all('div', class_=('maincounter-number')) | |
numbers = [] | |
for cases in cases: | |
total_case = cases.find('span') | |
total_case_num = total_case.text #gets the element inside the class | |
numbers.append(total_case_num) #append totalcases, deaths and recovered in order from .text | |
print("total cases: ", numbers[0], "deaths: ", numbers[1], "recovered: ", numbers[2]) |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import requests | |
from bs4 import BeautifulSoup | |
import re | |
URL = 'https://www.worldometers.info/coronavirus/country/bangladesh' | |
page = requests.get(URL) | |
soup = BeautifulSoup(page.content, 'html.parser') | |
results = soup.find(id='maincounter-wrap') | |
cases =results.find_all('div', class_='maincounter-number') | |
for cases in cases: | |
total_case = cases.find('span') | |
total_case_num = total_case.text | |
print('Total case: ',total_case_num) |
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