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parse caronavirus data
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#!/usr/bin/env python3 | |
from bs4 import BeautifulSoup | |
import urllib.request, urllib.error, urllib.parse | |
source_url = 'https://docs.google.com/spreadsheets/u/0/d/e/2PACX-1vR30F8lYP3jG7YOq8es0PBpJIE5yvRVZffOyaqC0GgMBN6yt0Q-NI8pxS7hd1F9dYXnowSC6zpZmW9D/pubhtml/sheet?gid=0' | |
def get_table_rows(url): | |
response = urllib.request.urlopen(url) | |
webContent = BeautifulSoup(response.read(), features="lxml") | |
parsed_table = (webContent.body.find('table', attrs={'class':'waffle'})) | |
return parsed_table.find_all('tr') | |
def parse_rows(row_array): | |
parsed_rows = [] | |
# this document actually starts at row 7 at the moment | |
for row in table_rows[7:]: | |
current_row = {} | |
all_td = row.find_all('td') | |
current_row['country'] = all_td[0].text | |
if 'Queue' in current_row['country']: | |
break | |
current_row['cases'] = all_td[1].text | |
current_row['deaths'] = all_td[2].text | |
parsed_rows.append(current_row) | |
return parsed_rows | |
table_rows = get_table_rows(source_url) | |
final_obj = parse_rows(table_rows) | |
print(final_obj) | |
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