RapidAPI
An example of a RapidAPI output.
• 2 min read
Jupyter Trimester 1 Tri 1 Assignments
from cgitb import text
import requests
import json
cities = 0
while cities < 1: # allows for multiple searches
url = "https://visual-crossing-weather.p.rapidapi.com/forecast"
item = input("Select a city:") # allows for search
query = {"aggregateHours":"24","location":item,"contentType":"csv","unitGroup":"us","shortColumnNames":"0"}
headers = {
"X-RapidAPI-Key": "6b9dacaef5mshade649601d1255fp14c8c2jsn9aeceb731b2b",
"X-RapidAPI-Host": "visual-crossing-weather.p.rapidapi.com"
}
response = requests.get(url, headers=headers, params=query)
print(response.text)
cities = (cities +1)
Address,Date time,Latitude,Longitude,Resolved Address,Name,Wind Direction,Minimum Temperature,Maximum Temperature,Temperature,Wind Speed,Cloud Cover,Heat Index,Chance Precipitation (%),Precipitation,Sea Level Pressure,Snow Depth,Snow,Relative Humidity,Wind Gust,Wind Chill,Conditions "diego","10/23/2022",32.7157,-117.162,"San Diego, CA, United States","diego",156.3,58.4,67.7,63.3,5.3,7.1,,9.5,0.0,1011.9,0.0,0.0,62.2,9.2,,"Clear" "diego","10/24/2022",32.7157,-117.162,"San Diego, CA, United States","diego",174.1,53.3,75.5,63.6,5.9,0.0,,0.0,0.0,1018.6,0.0,0.0,53.5,20.6,,"Clear" "diego","10/25/2022",32.7157,-117.162,"San Diego, CA, United States","diego",177.9,57.8,74.6,65.2,4.9,0.0,,0.0,0.0,1018.5,0.0,0.0,35.4,11.6,,"Clear" "diego","10/26/2022",32.7157,-117.162,"San Diego, CA, United States","diego",204.7,64.3,67.7,65.7,7.1,24.2,,19.0,0.0,1013.7,,,73.7,10.5,,"Clear" "diego","10/27/2022",32.7157,-117.162,"San Diego, CA, United States","diego",213.7,63.4,67.0,65.4,7.4,16.5,,19.0,0.0,1014.5,,,69.0,12.3,,"Clear" "diego","10/28/2022",32.7157,-117.162,"San Diego, CA, United States","diego",242.6,64.8,69.0,66.7,4.4,28.5,,0.0,0.0,1018.0,,0.0,68.7,6.0,,"Partially cloudy" "diego","10/29/2022",32.7157,-117.162,"San Diego, CA, United States","diego",297.9,65.0,68.3,66.6,5.5,57.9,,0.0,0.0,1017.3,,0.0,70.8,8.1,,"Partially cloudy" "diego","10/30/2022",32.7157,-117.162,"San Diego, CA, United States","diego",215.0,64.3,67.4,65.7,5.6,9.1,,14.3,0.0,1015.1,,0.0,71.9,7.4,,"Clear" "diego","10/31/2022",32.7157,-117.162,"San Diego, CA, United States","diego",236.4,63.9,67.6,65.8,3.7,52.2,,4.8,0.0,1013.0,,0.0,69.0,5.6,,"Partially cloudy" "diego","11/01/2022",32.7157,-117.162,"San Diego, CA, United States","diego",208.1,65.7,69.9,67.9,2.8,3.1,,4.8,0.0,1015.8,,0.0,62.4,6.3,,"Clear" "diego","11/02/2022",32.7157,-117.162,"San Diego, CA, United States","diego",327.9,67.7,72.1,69.3,5.7,0.0,,0.0,0.0,1017.7,,0.0,59.2,9.6,,"Clear" "diego","11/03/2022",32.7157,-117.162,"San Diego, CA, United States","diego",324.3,66.5,70.4,68.1,6.9,3.8,,0.0,0.0,1015.7,,0.0,65.3,9.8,,"Clear" "diego","11/04/2022",32.7157,-117.162,"San Diego, CA, United States","diego",326.7,66.3,73.3,69.2,6.4,0.5,,4.8,0.0,1015.5,,0.0,60.5,10.3,,"Clear" "diego","11/05/2022",32.7157,-117.162,"San Diego, CA, United States","diego",200.7,68.4,75.8,71.1,5.4,48.8,,0.0,0.0,1016.7,,0.0,32.3,9.2,,"Partially cloudy" "diego","11/06/2022",32.7157,-117.162,"San Diego, CA, United States","diego",208.9,68.2,72.9,70.0,4.6,60.7,,0.0,0.0,1016.8,,0.0,33.4,7.8,,"Partially cloudy" "diego","11/07/2022",32.7157,-117.162,"San Diego, CA, United States","diego",267.3,67.2,72.1,69.0,4.2,41.6,,23.8,0.0,1018.0,,0.0,48.0,6.9,,"Partially cloudy"
import requests
# flight = input("Number: ")
# date = input("Number: ")
# url = "https://aerodatabox.p.rapidapi.com/flights/number/"+str(flight)+"/"+str(date)
url = "https://aerodatabox.p.rapidapi.com/flights/number/DL47/2022-10-20"
# print(flight, date)
querystring = {"withAircraftImage":"false","withLocation":"false"}
headers = {
"X-RapidAPI-Key": "6b9dacaef5mshade649601d1255fp14c8c2jsn9aeceb731b2b",
"X-RapidAPI-Host": "aerodatabox.p.rapidapi.com"
}
response = requests.request("GET", url, headers=headers)
print(response.text)
print("Distance")
flight = response.json().get('greatCircleDistance')
for key, value in flight.items():
print(key, value)
[{"greatCircleDistance":{"meter":5854039.47,"km":5854.039,"mile":3637.531,"nm":3160.928,"feet":19206166.23},"departure":{"airport":{"icao":"EHAM","iata":"AMS","name":"Amsterdam, Amsterdam Schiphol","shortName":"Schiphol","municipalityName":"Amsterdam","location":{"lat":52.3086,"lon":4.763889},"countryCode":"NL"},"scheduledTimeLocal":"2022-10-20 10:00+02:00","actualTimeLocal":"2022-10-20 10:09+02:00","runwayTimeLocal":"2022-10-20 10:23+02:00","scheduledTimeUtc":"2022-10-20 08:00Z","actualTimeUtc":"2022-10-20 08:09Z","runwayTimeUtc":"2022-10-20 08:23Z","terminal":"2","checkInDesk":"9-16","gate":"E3","runway":"24","quality":["Basic","Live"]},"arrival":{"airport":{"icao":"KJFK","iata":"JFK","name":"New York, John F Kennedy","shortName":"John F Kennedy","municipalityName":"New York","location":{"lat":40.6398,"lon":-73.7789},"countryCode":"US"},"scheduledTimeLocal":"2022-10-20 12:21-04:00","runwayTimeLocal":"2022-10-20 12:05-04:00","scheduledTimeUtc":"2022-10-20 16:21Z","runwayTimeUtc":"2022-10-20 16:05Z","terminal":"4","quality":["Basic"]},"lastUpdatedUtc":"2022-10-20 20:18Z","number":"DL 47","callSign":"DAL47","status":"Arrived","codeshareStatus":"IsOperator","isCargo":false,"aircraft":{"reg":"N809NW","modeS":"AB048D","model":"Airbus A330"},"airline":{"name":"Delta Air Lines"}}]
Distance
--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) /home/davidv/vscode/fastpages/_notebooks/2022-10-09-PBL-python_rapidapi.ipynb Cell 4 in <cell line: 23>() <a href='vscode-notebook-cell://wsl%2Bubuntu/home/davidv/vscode/fastpages/_notebooks/2022-10-09-PBL-python_rapidapi.ipynb#W3sdnNjb2RlLXJlbW90ZQ%3D%3D?line=19'>20</a> print(response.text) <a href='vscode-notebook-cell://wsl%2Bubuntu/home/davidv/vscode/fastpages/_notebooks/2022-10-09-PBL-python_rapidapi.ipynb#W3sdnNjb2RlLXJlbW90ZQ%3D%3D?line=21'>22</a> print("Distance") ---> <a href='vscode-notebook-cell://wsl%2Bubuntu/home/davidv/vscode/fastpages/_notebooks/2022-10-09-PBL-python_rapidapi.ipynb#W3sdnNjb2RlLXJlbW90ZQ%3D%3D?line=22'>23</a> flight = response.json().get('greatCircleDistance') <a href='vscode-notebook-cell://wsl%2Bubuntu/home/davidv/vscode/fastpages/_notebooks/2022-10-09-PBL-python_rapidapi.ipynb#W3sdnNjb2RlLXJlbW90ZQ%3D%3D?line=23'>24</a> for key, value in flight.items(): <a href='vscode-notebook-cell://wsl%2Bubuntu/home/davidv/vscode/fastpages/_notebooks/2022-10-09-PBL-python_rapidapi.ipynb#W3sdnNjb2RlLXJlbW90ZQ%3D%3D?line=24'>25</a> print(key, value) AttributeError: 'list' object has no attribute 'get'
import requests
url = "https://corona-virus-world-and-india-data.p.rapidapi.com/api"
headers = {
'x-rapidapi-key': "dec069b877msh0d9d0827664078cp1a18fajsn2afac35ae063",
'x-rapidapi-host': "corona-virus-world-and-india-data.p.rapidapi.com"
}
# Request Covid Data
response = requests.request("GET", url, headers=headers)
print(response.text)
print("World Totals")
world = response.json().get('world_total') # turn response to json() so we can extract "world_total"
for key, value in world.items(): # this finds key, value pairs in country
print(key, value)
# print()
# # This code looks for USA in "countries_stats"
# print("Country Totals")
# countries = response.json().get('countries_stat')
# for country in countries: # countries is a list
# if country["country_name"] == "USA": # this filters for USA
# for key, value in country.items(): # this finds key, value pairs in country
# print(key, value)
{"countries_stat":[{"country_name":"USA","cases":"82,649,779","deaths":"1,018,316","region":"","total_recovered":"80,434,925","new_deaths":"0","new_cases":"0","serious_critical":"1,465","active_cases":"1,196,538","total_cases_per_1m_population":"247,080","deaths_per_1m_population":"3,044","total_tests":"1,000,275,726","tests_per_1m_population":"2,990,303"},{"country_name":"India","cases":"43,057,545","deaths":"522,193","region":"","total_recovered":"42,519,479","new_deaths":"0","new_cases":"0","serious_critical":"698","active_cases":"15,873","total_cases_per_1m_population":"30,657","deaths_per_1m_population":"372","total_tests":"834,717,702","tests_per_1m_population":"594,319"},{"country_name":"Brazil","cases":"30,345,654","deaths":"662,663","region":"","total_recovered":"29,364,400","new_deaths":"0","new_cases":"0","serious_critical":"8,318","active_cases":"318,591","total_cases_per_1m_population":"140,954","deaths_per_1m_population":"3,078","total_tests":"63,776,166","tests_per_1m_population":"296,238"},{"country_name":"France","cases":"28,244,977","deaths":"145,020","region":"","total_recovered":"25,852,832","new_deaths":"0","new_cases":"0","serious_critical":"1,677","active_cases":"2,247,125","total_cases_per_1m_population":"430,996","deaths_per_1m_population":"2,213","total_tests":"266,484,045","tests_per_1m_population":"4,066,333"},{"country_name":"Germany","cases":"24,109,433","deaths":"134,624","region":"","total_recovered":"21,243,000","new_deaths":"0","new_cases":"0","serious_critical":"1,980","active_cases":"2,731,809","total_cases_per_1m_population":"286,106","deaths_per_1m_population":"1,598","total_tests":"122,332,384","tests_per_1m_population":"1,451,714"},{"country_name":"UK","cases":"21,933,206","deaths":"173,352","region":"","total_recovered":"20,782,350","new_deaths":"0","new_cases":"0","serious_critical":"339","active_cases":"977,504","total_cases_per_1m_population":"320,054","deaths_per_1m_population":"2,530","total_tests":"514,985,782","tests_per_1m_population":"7,514,777"},{"country_name":"Russia","cases":"18,137,137","deaths":"374,902","region":"","total_recovered":"17,474,628","new_deaths":"168","new_cases":"8,446","serious_critical":"2,300","active_cases":"287,607","total_cases_per_1m_population":"124,187","deaths_per_1m_population":"2,567","total_tests":"273,400,000","tests_per_1m_population":"1,871,995"},{"country_name":"S. Korea","cases":"16,895,194","deaths":"22,133","region":"","total_recovered":"N\/A","new_deaths":"109","new_cases":"64,725","serious_critical":"726","active_cases":"N\/A","total_cases_per_1m_population":"329,028","deaths_per_1m_population":"431","total_tests":"15,804,065","tests_per_1m_population":"307,778"},{"country_name":"Italy","cases":"16,079,209","deaths":"162,609","region":"","total_recovered":"14,684,371","new_deaths":"0","new_cases":"0","serious_critical":"409","active_cases":"1,232,229","total_cases_per_1m_population":"266,648","deaths_per_1m_population":"2,697","total_tests":"211,365,630","tests_per_1m_population":"3,505,156"},{"country_name":"Turkey","cases":"15,016,270","deaths":"98,676","region":"","total_recovered":"14,854,475","new_deaths":"0","new_cases":"0","serious_critical":"975","active_cases":"63,119","total_cases_per_1m_population":"174,654","deaths_per_1m_population":"1,148","total_tests":"158,110,923","tests_per_1m_population":"1,838,986"},{"country_name":"Spain","cases":"11,786,036","deaths":"103,908","region":"","total_recovered":"11,261,340","new_deaths":"0","new_cases":"0","serious_critical":"339","active_cases":"420,788","total_cases_per_1m_population":"251,906","deaths_per_1m_population":"2,221","total_tests":"471,036,328","tests_per_1m_population":"10,067,575"},{"country_name":"Vietnam","cases":"10,563,502","deaths":"43,013","region":"","total_recovered":"9,086,075","new_deaths":"9","new_cases":"8,813","serious_critical":"612","active_cases":"1,434,414","total_cases_per_1m_population":"106,789","deaths_per_1m_population":"435","total_tests":"85,789,114","tests_per_1m_population":"867,262"},{"country_name":"Argentina","cases":"9,060,923","deaths":"128,344","region":"","total_recovered":"8,895,999","new_deaths":"0","new_cases":"0","serious_critical":"412","active_cases":"36,580","total_cases_per_1m_population":"197,215","deaths_per_1m_population":"2,793","total_tests":"35,716,069","tests_per_1m_population":"777,376"},{"country_name":"Netherlands","cases":"8,035,603","deaths":"22,206","region":"","total_recovered":"7,643,520","new_deaths":"0","new_cases":"0","serious_critical":"94","active_cases":"369,877","total_cases_per_1m_population":"467,096","deaths_per_1m_population":"1,291","total_tests":"21,107,399","tests_per_1m_population":"1,226,938"},{"country_name":"Japan","cases":"7,621,562","deaths":"29,284","region":"","total_recovered":"7,135,403","new_deaths":"27","new_cases":"43,721","serious_critical":"195","active_cases":"456,875","total_cases_per_1m_population":"60,596","deaths_per_1m_population":"233","total_tests":"46,690,473","tests_per_1m_population":"371,215"},{"country_name":"Iran","cases":"7,216,040","deaths":"140,975","region":"","total_recovered":"6,966,954","new_deaths":"13","new_cases":"528","serious_critical":"1,046","active_cases":"108,111","total_cases_per_1m_population":"83,972","deaths_per_1m_population":"1,641","total_tests":"50,811,054","tests_per_1m_population":"591,284"},{"country_name":"Colombia","cases":"6,091,094","deaths":"139,771","region":"","total_recovered":"5,924,433","new_deaths":"0","new_cases":"0","serious_critical":"342","active_cases":"26,890","total_cases_per_1m_population":"117,448","deaths_per_1m_population":"2,695","total_tests":"34,355,022","tests_per_1m_population":"662,433"},{"country_name":"Indonesia","cases":"6,043,768","deaths":"156,067","region":"","total_recovered":"5,868,251","new_deaths":"0","new_cases":"0","serious_critical":"2,771","active_cases":"19,450","total_cases_per_1m_population":"21,682","deaths_per_1m_population":"560","total_tests":"94,877,499","tests_per_1m_population":"340,374"},{"country_name":"Poland","cases":"5,991,197","deaths":"115,948","region":"","total_recovered":"5,334,375","new_deaths":"0","new_cases":"344","serious_critical":"1,588","active_cases":"540,874","total_cases_per_1m_population":"158,616","deaths_per_1m_population":"3,070","total_tests":"36,027,053","tests_per_1m_population":"953,808"},{"country_name":"Mexico","cases":"5,733,514","deaths":"324,117","region":"","total_recovered":"5,033,892","new_deaths":"57","new_cases":"802","serious_critical":"4,798","active_cases":"375,505","total_cases_per_1m_population":"43,641","deaths_per_1m_population":"2,467","total_tests":"15,762,889","tests_per_1m_population":"119,981"},{"country_name":"Australia","cases":"5,689,377","deaths":"6,991","region":"","total_recovered":"5,274,197","new_deaths":"21","new_cases":"34,769","serious_critical":"135","active_cases":"408,189","total_cases_per_1m_population":"218,537","deaths_per_1m_population":"269","total_tests":"68,845,476","tests_per_1m_population":"2,644,452"},{"country_name":"Ukraine","cases":"4,997,224","deaths":"108,306","region":"","total_recovered":"N\/A","new_deaths":"0","new_cases":"0","serious_critical":"177","active_cases":"N\/A","total_cases_per_1m_population":"115,517","deaths_per_1m_population":"2,504","total_tests":"19,521,252","tests_per_1m_population":"451,259"},{"country_name":"Malaysia","case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Vincent Grenadines","cases":"6,779","deaths":"106","region":"","total_recovered":"6,641","new_deaths":"0","new_cases":"0","serious_critical":"0","active_cases":"32","total_cases_per_1m_population":"60,757","deaths_per_1m_population":"950","total_tests":"98,860","tests_per_1m_population":"886,033"},{"country_name":"British Virgin Islands","cases":"6,296","deaths":"62","region":"","total_recovered":"N\/A","new_deaths":"0","new_cases":"0","serious_critical":"1","active_cases":"N\/A","total_cases_per_1m_population":"205,792","deaths_per_1m_population":"2,027","total_tests":"102,862","tests_per_1m_population":"3,362,163"},{"country_name":"Sao Tome and Principe","cases":"5,953","deaths":"73","region":"","total_recovered":"5,875","new_deaths":"0","new_cases":"0","serious_critical":"0","active_cases":"5","total_cases_per_1m_population":"26,282","deaths_per_1m_population":"322","total_tests":"29,036","tests_per_1m_population":"128,193"},{"country_name":"Turks and 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Barth","cases":"4,432","deaths":"6","region":"","total_recovered":"N\/A","new_deaths":"0","new_cases":"0","serious_critical":"0","active_cases":"N\/A","total_cases_per_1m_population":"446,279","deaths_per_1m_population":"604","total_tests":"78,646","tests_per_1m_population":"7,919,243"},{"country_name":"Palau","cases":"4,396","deaths":"6","region":"","total_recovered":"3,879","new_deaths":"0","new_cases":"0","serious_critical":"1","active_cases":"511","total_cases_per_1m_population":"240,877","deaths_per_1m_population":"329","total_tests":"45,500","tests_per_1m_population":"2,493,151"},{"country_name":"Kiribati","cases":"3,076","deaths":"13","region":"","total_recovered":"2,597","new_deaths":"0","new_cases":"0","serious_critical":"3","active_cases":"466","total_cases_per_1m_population":"25,058","deaths_per_1m_population":"106","total_tests":"0","tests_per_1m_population":"0"},{"country_name":"Anguilla","cases":"2,731","deaths":"9","region":"","total_recovered":"2,716","new_deaths":"0","new_cases":"0","serious_critical":"4","active_cases":"6","total_cases_per_1m_population":"179,141","deaths_per_1m_population":"590","total_tests":"51,382","tests_per_1m_population":"3,370,417"},{"country_name":"Saint Pierre Miquelon","cases":"2,641","deaths":"1","region":"","total_recovered":"2,449","new_deaths":"0","new_cases":"0","serious_critical":"1","active_cases":"191","total_cases_per_1m_population":"459,864","deaths_per_1m_population":"174","total_tests":"22,941","tests_per_1m_population":"3,994,602"},{"country_name":"Diamond Princess","cases":"712","deaths":"13","region":"","total_recovered":"699","new_deaths":"0","new_cases":"0","serious_critical":"0","active_cases":"0","total_cases_per_1m_population":"0","deaths_per_1m_population":"0","total_tests":"0","tests_per_1m_population":"0"},{"country_name":"Wallis and Futuna","cases":"454","deaths":"7","region":"","total_recovered":"438","new_deaths":"0","new_cases":"0","serious_critical":"0","active_cases":"9","total_cases_per_1m_population":"41,713","deaths_per_1m_population":"643","total_tests":"20,508","tests_per_1m_population":"1,884,234"},{"country_name":"Montserrat","cases":"183","deaths":"2","region":"","total_recovered":"174","new_deaths":"0","new_cases":"0","serious_critical":"0","active_cases":"7","total_cases_per_1m_population":"36,622","deaths_per_1m_population":"400","total_tests":"9,700","tests_per_1m_population":"1,941,165"},{"country_name":"Falkland Islands","cases":"128","deaths":"0","region":"","total_recovered":"N\/A","new_deaths":"0","new_cases":"0","serious_critical":"0","active_cases":"N\/A","total_cases_per_1m_population":"34,944","deaths_per_1m_population":"0","total_tests":"8,632","tests_per_1m_population":"2,356,538"},{"country_name":"Macao","cases":"82","deaths":"0","region":"","total_recovered":"82","new_deaths":"0","new_cases":"0","serious_critical":"0","active_cases":"0","total_cases_per_1m_population":"123","deaths_per_1m_population":"0","total_tests":"5,375","tests_per_1m_population":"8,079"},{"country_name":"Vatican City","cases":"29","deaths":"0","region":"","total_recovered":"29","new_deaths":"0","new_cases":"0","serious_critical":"0","active_cases":"0","total_cases_per_1m_population":"36,025","deaths_per_1m_population":"0","total_tests":"0","tests_per_1m_population":"0"},{"country_name":"Marshall Islands","cases":"15","deaths":"0","region":"","total_recovered":"7","new_deaths":"0","new_cases":"0","serious_critical":"0","active_cases":"8","total_cases_per_1m_population":"250","deaths_per_1m_population":"0","total_tests":"0","tests_per_1m_population":"0"},{"country_name":"Western Sahara","cases":"10","deaths":"1","region":"","total_recovered":"9","new_deaths":"0","new_cases":"0","serious_critical":"0","active_cases":"0","total_cases_per_1m_population":"16","deaths_per_1m_population":"2","total_tests":"0","tests_per_1m_population":"0"},{"country_name":"MS Zaandam","cases":"9","deaths":"2","region":"","total_recovered":"7","new_deaths":"0","new_cases":"0","serious_critical":"0","active_cases":"0","total_cases_per_1m_population":"0","deaths_per_1m_population":"0","total_tests":"0","tests_per_1m_population":"0"},{"country_name":"Niue","cases":"8","deaths":"0","region":"","total_recovered":"7","new_deaths":"0","new_cases":"0","serious_critical":"0","active_cases":"1","total_cases_per_1m_population":"4,860","deaths_per_1m_population":"0","total_tests":"0","tests_per_1m_population":"0"},{"country_name":"Nauru","cases":"3","deaths":"0","region":"","total_recovered":"3","new_deaths":"0","new_cases":"0","serious_critical":"0","active_cases":"0","total_cases_per_1m_population":"274","deaths_per_1m_population":"0","total_tests":"0","tests_per_1m_population":"0"},{"country_name":"Saint Helena","cases":"2","deaths":"0","region":"","total_recovered":"2","new_deaths":"0","new_cases":"0","serious_critical":"0","active_cases":"0","total_cases_per_1m_population":"327","deaths_per_1m_population":"0","total_tests":"0","tests_per_1m_population":"0"},{"country_name":"Micronesia","cases":"1","deaths":"0","region":"","total_recovered":"1","new_deaths":"0","new_cases":"0","serious_critical":"0","active_cases":"0","total_cases_per_1m_population":"9","deaths_per_1m_population":"0","total_tests":"0","tests_per_1m_population":"0"}],"statistic_taken_at":"2022-04-24 11:18:01","world_total":{"total_cases":"509,268,964","new_cases":"204,268","total_deaths":"6,242,509","new_deaths":"630","total_recovered":"461,827,849","active_cases":"41,198,606","serious_critical":"42,510","total_cases_per_1m_population":"65,334","deaths_per_1m_population":"800.9","statistic_taken_at":"2022-04-24 11:18:01"}}
World Totals
total_cases 509,268,964
new_cases 204,268
total_deaths 6,242,509
new_deaths 630
total_recovered 461,827,849
active_cases 41,198,606
serious_critical 42,510
total_cases_per_1m_population 65,334
deaths_per_1m_population 800.9
statistic_taken_at 2022-04-24 11:18:01