Python, RapidAPI Terms

APIs and tooling like Jupyter docs allows many opportunities in fields like Data Science. As more and more developers use APIs, they build standards in how you setup a client, send requests and receive information...

Covid19 RapidAPI Example

Corona virus World and India data

"""
Requests is a HTTP library for the Python programming language. 
The goal of the project is to make HTTP requests simpler and more human-friendly. 
"""

import requests

url = "https://corona-virus-world-and-india-data.p.rapidapi.com/api"

headers = {
	"X-RapidAPI-Key": "561be3d3dcmsh26da5c03e252f9fp1d2d4fjsn25f9e92f38d8",
	"X-RapidAPI-Host": "corona-virus-world-and-india-data.p.rapidapi.com"
}

response = requests.request("GET", url, headers=headers)

print(response.json())

# This code looks for "world data"
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', 'cases': '4,427,067', 'deaths': '35,491', 'region': '', 'total_recovered': '4,310,599', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '89', 'active_cases': '80,977', 'total_cases_per_1m_population': '133,690', 'deaths_per_1m_population': '1,072', 'total_tests': '58,332,799', 'tests_per_1m_population': '1,761,549'}, {'country_name': 'Thailand', 'cases': '4,165,874', 'deaths': '27,778', 'region': '', 'total_recovered': '3,954,945', 'new_deaths': '126', 'new_cases': '17,784', 'serious_critical': '1,496', 'active_cases': '183,151', 'total_cases_per_1m_population': '59,414', 'deaths_per_1m_population': '396', 'total_tests': '17,270,775', 'tests_per_1m_population': '246,317'}, {'country_name': 'Austria', 'cases': '4,104,859', 'deaths': '18,047', 'region': '', 'total_recovered': '3,989,860', 'new_deaths': '12', 'new_cases': '5,810', 'serious_critical': '121', 'active_cases': '96,952', 'total_cases_per_1m_population': '451,125', 'deaths_per_1m_population': '1,983', 'total_tests': '181,825,734', 'tests_per_1m_population': '19,982,688'}, {'country_name': 'Israel', 'cases': '4,054,342', 'deaths': '10,658', 'region': '', 'total_recovered': '4,009,152', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '220', 'active_cases': '34,532', 'total_cases_per_1m_population': '434,735', 'deaths_per_1m_population': '1,143', 'total_tests': '41,373,364', 'tests_per_1m_population': '4,436,346'}, {'country_name': 'Belgium', 'cases': '4,015,791', 'deaths': '31,319', 'region': '', 'total_recovered': '3,726,457', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '169', 'active_cases': '258,015', 'total_cases_per_1m_population': '343,798', 'deaths_per_1m_population': '2,681', 'total_tests': '33,456,470', 'tests_per_1m_population': '2,864,259'}, {'country_name': 'Czechia', 'cases': '3,895,544', 'deaths': '40,081', 'region': '', 'total_recovered': '3,838,099', 'new_deaths': '5', 'new_cases': '911', 'serious_critical': '43', 'active_cases': '17,364', 'total_cases_per_1m_population': '362,550', 'deaths_per_1m_population': '3,730', 'total_tests': '55,117,064', 'tests_per_1m_population': '5,129,629'}, {'country_name': 'Portugal', 'cases': '3,791,744', 'deaths': '22,162', 'region': '', 'total_recovered': 'N/A', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '61', 'active_cases': 'N/A', 'total_cases_per_1m_population': '373,827', 'deaths_per_1m_population': '2,185', 'total_tests': '40,748,372', 'tests_per_1m_population': '4,017,371'}, {'country_name': 'South Africa', 'cases': '3,759,689', 'deaths': '100,298', 'region': '', 'total_recovered': '3,632,572', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '175', 'active_cases': '26,819', 'total_cases_per_1m_population': '61,981', 'deaths_per_1m_population': '1,653', 'total_tests': '24,313,334', 'tests_per_1m_population': '400,824'}, {'country_name': 'Canada', 'cases': '3,695,585', 'deaths': '38,777', 'region': '', 'total_recovered': '3,426,082', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '426', 'active_cases': '230,726', 'total_cases_per_1m_population': '96,391', 'deaths_per_1m_population': '1,011', 'total_tests': '60,536,359', 'tests_per_1m_population': '1,578,955'}, {'country_name': 'Philippines', 'cases': '3,684,500', 'deaths': '60,182', 'region': '', 'total_recovered': '3,610,658', 'new_deaths': '3', 'new_cases': '205', 'serious_critical': '289', 'active_cases': '13,660', 'total_cases_per_1m_population': '32,835', 'deaths_per_1m_population': '536', 'total_tests': '29,427,586', 'tests_per_1m_population': '262,246'}, {'country_name': 'Switzerland', 'cases': '3,579,867', 'deaths': '13,816', 'region': '', 'total_recovered': '3,378,507', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '90', 'active_cases': '187,544', 'total_cases_per_1m_population': '408,247', 'deaths_per_1m_population': '1,576', 'total_tests': '20,666,182', 'tests_per_1m_population': '2,356,766'}, {'country_name': 'Peru', 'cases': '3,559,343', 'deaths': '212,724', 'region': '', 'total_recovered': 'N/A', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '356', 'active_cases': 'N/A', 'total_cases_per_1m_population': '105,303', 'deaths_per_1m_population': '6,293', 'total_tests': '29,592,270', 'tests_per_1m_population': '875,489'}, {'country_name': 'Chile', 'cases': '3,544,463', 'deaths': '57,375', 'region': '', 'total_recovered': '3,368,772', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '286', 'active_cases': '118,316', 'total_cases_per_1m_population': '182,588', 'deaths_per_1m_population': '2,956', 'total_tests': '36,711,724', 'tests_per_1m_population': '1,891,147'}, {'country_name': 'Greece', 'cases': '3,277,557', 'deaths': '28,867', 'region': '', 'total_recovered': '3,151,717', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '277', 'active_cases': '96,973', 'total_cases_per_1m_population': '317,250', 'deaths_per_1m_population': '2,794', 'total_tests': '78,872,546', 'tests_per_1m_population': '7,634,431'}, {'country_name': 'Denmark', 'cases': '2,959,040', 'deaths': '6,072', 'region': '', 'total_recovered': '2,929,091', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '15', 'active_cases': '23,877', 'total_cases_per_1m_population': '507,639', 'deaths_per_1m_population': '1,042', 'total_tests': '127,141,200', 'tests_per_1m_population': '21,811,751'}, {'country_name': 'Romania', 'cases': '2,888,318', 'deaths': '65,427', 'region': '', 'total_recovered': '2,606,660', 'new_deaths': '6', 'new_cases': '494', 'serious_critical': '216', 'active_cases': '216,231', 'total_cases_per_1m_population': '151,968', 'deaths_per_1m_population': '3,442', 'total_tests': '22,594,702', 'tests_per_1m_population': '1,188,815'}, {'country_name': 'Sweden', 'cases': '2,498,388', 'deaths': '18,656', 'region': '', 'total_recovered': '2,464,421', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '19', 'active_cases': '15,311', 'total_cases_per_1m_population': '244,630', 'deaths_per_1m_population': '1,827', 'total_tests': '18,493,218', 'tests_per_1m_population': '1,810,763'}, {'country_name': 'Iraq', 'cases': '2,324,141', 'deaths': '25,204', 'region': '', 'total_recovered': '2,295,947', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '20', 'active_cases': '2,990', 'total_cases_per_1m_population': '55,534', 'deaths_per_1m_population': '602', 'total_tests': '18,450,939', 'tests_per_1m_population': '440,871'}, {'country_name': 'Serbia', 'cases': '2,001,144', 'deaths': '15,953', 'region': '', 'total_recovered': '1,967,786', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '25', 'active_cases': '17,405', 'total_cases_per_1m_population': '230,710', 'deaths_per_1m_population': '1,839', 'total_tests': '9,427,662', 'tests_per_1m_population': '1,086,907'}, {'country_name': 'Bangladesh', 'cases': '1,952,532', 'deaths': '29,127', 'region': '', 'total_recovered': '1,893,131', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '1,297', 'active_cases': '30,274', 'total_cases_per_1m_population': '11,646', 'deaths_per_1m_population': '174', 'total_tests': '13,956,056', 'tests_per_1m_population': '83,245'}, {'country_name': 'Hungary', 'cases': '1,890,953', 'deaths': '46,048', 'region': '', 'total_recovered': '1,776,617', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '45', 'active_cases': '68,288', 'total_cases_per_1m_population': '196,645', 'deaths_per_1m_population': '4,789', 'total_tests': '11,295,119', 'tests_per_1m_population': '1,174,608'}, {'country_name': 'Slovakia', 'cases': '1,774,808', 'deaths': '19,839', 'region': '', 'total_recovered': '1,730,712', 'new_deaths': '10', 'new_cases': '1,155', 'serious_critical': '88', 'active_cases': '24,257', 'total_cases_per_1m_population': '324,794', 'deaths_per_1m_population': '3,631', 'total_tests': '7,057,901', 'tests_per_1m_population': '1,291,611'}, {'country_name': 'Jordan', 'cases': '1,694,216', 'deaths': '14,048', 'region': '', 'total_recovered': '1,678,941', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '124', 'active_cases': '1,227', 'total_cases_per_1m_population': '163,125', 'deaths_per_1m_population': '1,353', 'total_tests': '16,670,254', 'tests_per_1m_population': '1,605,074'}, {'country_name': 'Georgia', 'cases': '1,654,255', 'deaths': '16,800', 'region': '', 'total_recovered': '1,635,791', 'new_deaths': '3', 'new_cases': '92', 'serious_critical': '0', 'active_cases': '1,664', 'total_cases_per_1m_population': '416,129', 'deaths_per_1m_population': '4,226', 'total_tests': '16,807,205', 'tests_per_1m_population': '4,227,861'}, {'country_name': 'Pakistan', 'cases': '1,527,856', 'deaths': '30,369', 'region': '', 'total_recovered': '1,493,998', 'new_deaths': '0', 'new_cases': '105', 'serious_critical': '186', 'active_cases': '3,489', 'total_cases_per_1m_population': '6,683', 'deaths_per_1m_population': '133', 'total_tests': '28,048,307', 'tests_per_1m_population': '122,679'}, {'country_name': 'Ireland', 'cases': '1,509,536', 'deaths': '6,996', 'region': '', 'total_recovered': '1,415,949', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '41', 'active_cases': '86,591', 'total_cases_per_1m_population': '299,669', 'deaths_per_1m_population': '1,389', 'total_tests': '12,016,948', 'tests_per_1m_population': '2,385,571'}, {'country_name': 'Norway', 'cases': '1,423,509', 'deaths': '2,871', 'region': '', 'total_recovered': 'N/A', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '20', 'active_cases': 'N/A', 'total_cases_per_1m_population': '258,925', 'deaths_per_1m_population': '522', 'total_tests': '11,002,430', 'tests_per_1m_population': '2,001,256'}, {'country_name': 'Kazakhstan', 'cases': '1,305,457', 'deaths': '13,660', 'region': '', 'total_recovered': '1,290,988', 'new_deaths': '0', 'new_cases': '10', 'serious_critical': '24', 'active_cases': '809', 'total_cases_per_1m_population': '68,056', 'deaths_per_1m_population': '712', 'total_tests': '11,575,012', 'tests_per_1m_population': '603,428'}, {'country_name': 'Hong Kong', 'cases': '1,201,431', 'deaths': '9,236', 'region': '', 'total_recovered': 'N/A', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '115', 'active_cases': 'N/A', 'total_cases_per_1m_population': '157,942', 'deaths_per_1m_population': '1,214', 'total_tests': '44,972,952', 'tests_per_1m_population': '5,912,223'}, {'country_name': 'Singapore', 'cases': '1,180,124', 'deaths': '1,325', 'region': '', 'total_recovered': '1,109,387', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '9', 'active_cases': '69,412', 'total_cases_per_1m_population': 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'798', 'total_tests': '65,141', 'tests_per_1m_population': '1,209,046'}, {'country_name': 'Cook Islands', 'cases': '4,727', 'deaths': '0', 'region': '', 'total_recovered': '3,990', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': '737', 'total_cases_per_1m_population': '268,686', 'deaths_per_1m_population': '0', 'total_tests': '15,740', 'tests_per_1m_population': '894,674'}, {'country_name': 'St. 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

Country Totals
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
# Begin Rapid API Code
import requests

url = "https://coinranking1.p.rapidapi.com/coins"

querystring = {"referenceCurrencyUuid":"yhjMzLPhuIDl","timePeriod":"24h","tiers[0]":"1","orderBy":"marketCap","orderDirection":"desc","limit":"50","offset":"0"}

headers = {
	"X-RapidAPI-Key": "561be3d3dcmsh26da5c03e252f9fp1d2d4fjsn25f9e92f38d8",
	"X-RapidAPI-Host": "coinranking1.p.rapidapi.com"
}

response = requests.request("GET", url, headers=headers, params=querystring)

print(response.text)
# End Rapid API Code
json = response.json()  # convert response to python json object



# Observe data from an API.  This is how data transports over the internet in a "JSON" text form
# - The JSON "text" is formed in dictionary {} and list [] divisions
# - To read the result, Data Scientist of  Developer converts JSON into human readable form
# - Review the first line, look for the keys --  "status" and "data"
{"status":"success","data":{"stats":{"total":1445,"totalCoins":21247,"totalMarkets":28962,"totalExchanges":171,"totalMarketCap":"962187211046","total24hVolume":"34425670290"},"coins":[{"uuid":"Qwsogvtv82FCd","symbol":"BTC","name":"Bitcoin","color":"#f7931A","iconUrl":"https://cdn.coinranking.com/bOabBYkcX/bitcoin_btc.svg","marketCap":"373300497007","price":"19468.28634493057","listedAt":1330214400,"tier":1,"change":"0.34","rank":1,"sparkline":["19409.522855181618","19426.9178860897","19424.263207671826","19408.40582597672","19408.794723806877","19451.416850272788","19498.41213321325","19508.91642795004","19498.61132570929","19499.113183432386","19521.055181617245","19507.261003743984","19501.7395402006","19497.000451957287","19483.463163290784","19472.706922361565","19479.53000034993","19456.29552882804","19423.767154808553","19441.706226668768","19480.160133412966","19513.681995597264","19497.918937279548","19471.7312707447","19460.672859541493"],"lowVolume":false,"coinrankingUrl":"https://coinranking.com/coin/Qwsogvtv82FCd+bitcoin-btc","24hVolume":"16991541440","btcPrice":"1"},{"uuid":"razxDUgYGNAdQ","symbol":"ETH","name":"Ethereum","color":"#3C3C3D","iconUrl":"https://cdn.coinranking.com/rk4RKHOuW/eth.svg","marketCap":"162111714487","price":"1324.8239350607337","listedAt":1438905600,"tier":1,"change":"0.89","rank":2,"sparkline":["1314.6376857269008","1316.179403212137","1316.5931590302812","1315.8649402139501","1316.7928592623746","1319.4550139647918","1324.754915576501","1326.8005029557569","1325.0040580063667","1324.3051224319718","1325.2539416702598","1325.3312444852731","1324.904104258494","1324.4458335887882","1320.6956232554264","1320.1962381825033","1320.4131803079326","1320.581793082762","1319.0538084818704","1322.9167298226512","1330.4823146940466","1331.9811696464988","1326.1947205955214","1324.4619072084702","1324.3330524094094"],"lowVolume":false,"coinrankingUrl":"https://coinranking.com/coin/razxDUgYGNAdQ+ethereum-eth","24hVolume":"6694545172","btcPrice":"0.0680503620908427"},{"uuid":"HIVsRcGKkPFtW","symbol":"USDT","name":"Tether 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"""
This cell is dependent on valid run of API above.
- try and except code is making sure "json" was properly run above
- inside second try is code that is used to process Coin API data

Note.  Run this cell repeatedly to format data without re-activating API
"""

try:
    print("JSON data is Python type: " + str(type(json)))
    try:
        # Extracting Coins JSON status, if the API worked
        status = json.get('status')
        print("API status: " + status)
        print()
        
        # Extracting Coins JSON data, data about the coins
        data = json.get('data')
        
        # Procedural abstraction of Print code for coins
        def print_coin(c):
            print(c["symbol"], c["price"])
            print("Icon Url: " + c["iconUrl"])
            print("Rank Url: " + c["coinrankingUrl"])

        # Coins data was observed to be a list
        for coin in data['coins']:
            print_coin(coin)
            print()
            
    except:
        print("Did you insert a valid key in X-RapidAPI-Key of API cell above?")
        print(json)
except:
    print("This cell is dependent on running API call in cell above!")
JSON data is Python type: <class 'dict'>
API status: success

BTC 19468.28634493057
Icon Url: https://cdn.coinranking.com/bOabBYkcX/bitcoin_btc.svg
Rank Url: https://coinranking.com/coin/Qwsogvtv82FCd+bitcoin-btc

ETH 1324.8239350607337
Icon Url: https://cdn.coinranking.com/rk4RKHOuW/eth.svg
Rank Url: https://coinranking.com/coin/razxDUgYGNAdQ+ethereum-eth

USDT 1.0006827303549273
Icon Url: https://cdn.coinranking.com/mgHqwlCLj/usdt.svg
Rank Url: https://coinranking.com/coin/HIVsRcGKkPFtW+tetherusd-usdt

USDC 1.0002798064520788
Icon Url: https://cdn.coinranking.com/jkDf8sQbY/usdc.svg
Rank Url: https://coinranking.com/coin/aKzUVe4Hh_CON+usdc-usdc

BNB 278.453564839425
Icon Url: https://cdn.coinranking.com/B1N19L_dZ/bnb.svg
Rank Url: https://coinranking.com/coin/WcwrkfNI4FUAe+binancecoin-bnb

XRP 0.5346615915847356
Icon Url: https://cdn.coinranking.com/B1oPuTyfX/xrp.svg
Rank Url: https://coinranking.com/coin/-l8Mn2pVlRs-p+xrp-xrp

BUSD 1.0007389451923434
Icon Url: https://cdn.coinranking.com/6SJHRfClq/busd.svg
Rank Url: https://coinranking.com/coin/vSo2fu9iE1s0Y+binanceusd-busd

ADA 0.4238046885950878
Icon Url: https://cdn.coinranking.com/ryY28nXhW/ada.svg
Rank Url: https://coinranking.com/coin/qzawljRxB5bYu+cardano-ada

SOL 33.059983304299614
Icon Url: https://cdn.coinranking.com/yvUG4Qex5/solana.svg
Rank Url: https://coinranking.com/coin/zNZHO_Sjf+solana-sol

DOGE 0.06226991319650085
Icon Url: https://cdn.coinranking.com/H1arXIuOZ/doge.svg
Rank Url: https://coinranking.com/coin/a91GCGd_u96cF+dogecoin-doge

DOT 6.460873598218451
Icon Url: https://cdn.coinranking.com/RsljYqnbu/polkadot.svg
Rank Url: https://coinranking.com/coin/25W7FG7om+polkadot-dot

MATIC 0.8323118182957143
Icon Url: https://cdn.coinranking.com/WulYRq14o/polygon.png
Rank Url: https://coinranking.com/coin/uW2tk-ILY0ii+polygon-matic

SHIB 0.000011033807422982
Icon Url: https://cdn.coinranking.com/D69LfI-tm/shib.png
Rank Url: https://coinranking.com/coin/xz24e0BjL+shibainu-shib

DAI 1.0000344599182724
Icon Url: https://cdn.coinranking.com/mAZ_7LwOE/mutli-collateral-dai.svg
Rank Url: https://coinranking.com/coin/MoTuySvg7+dai-dai

TRX 0.06385336914258007
Icon Url: https://cdn.coinranking.com/behejNqQs/trx.svg
Rank Url: https://coinranking.com/coin/qUhEFk1I61atv+tron-trx

WETH 1319.544277857444
Icon Url: https://cdn.coinranking.com/KIviQyZlt/weth.svg
Rank Url: https://coinranking.com/coin/Mtfb0obXVh59u+wrappedether-weth

UNI 6.56133564695078
Icon Url: https://cdn.coinranking.com/1heSvUgtl/uniswap-v2.svg?size=48x48
Rank Url: https://coinranking.com/coin/_H5FVG9iW+uniswap-uni

AVAX 17.01391552077323
Icon Url: https://cdn.coinranking.com/S0C6Cw2-w/avax-avalanche.png
Rank Url: https://coinranking.com/coin/dvUj0CzDZ+avalanche-avax

CAKE 4.588384941374258
Icon Url: https://cdn.coinranking.com/aRtgdw7bQ/pancakeswap-cake-logo.png
Rank Url: https://coinranking.com/coin/ncYFcP709+pancakeswap-cake

ATOM 13.19470285280712
Icon Url: https://cdn.coinranking.com/HJzHboruM/atom.svg
Rank Url: https://coinranking.com/coin/Knsels4_Ol-Ny+cosmos-atom

OKB 15.629575479691729
Icon Url: https://cdn.coinranking.com/xcZdYtX6E/okx.png
Rank Url: https://coinranking.com/coin/PDKcptVnzJTmN+okb-okb

LTC 54.24837407777245
Icon Url: https://cdn.coinranking.com/BUvPxmc9o/ltcnew.svg
Rank Url: https://coinranking.com/coin/D7B1x_ks7WhV5+litecoin-ltc

FTT 24.149273299619992
Icon Url: https://cdn.coinranking.com/WyBm4_EzM/ftx-exchange.svg
Rank Url: https://coinranking.com/coin/NfeOYfNcl+ftxtoken-ftt

ETC 27.046540909173117
Icon Url: https://cdn.coinranking.com/rJfyor__W/etc.svg
Rank Url: https://coinranking.com/coin/hnfQfsYfeIGUQ+ethereumclassic-etc

XMR 145.49491866947685
Icon Url: https://cdn.coinranking.com/Syz-oSd_Z/xmr.svg
Rank Url: https://coinranking.com/coin/3mVx2FX_iJFp5+monero-xmr

XLM 0.12791400358299593
Icon Url: https://cdn.coinranking.com/78CxK1xsp/Stellar_symbol_black_RGB.svg
Rank Url: https://coinranking.com/coin/f3iaFeCKEmkaZ+stellar-xlm

ALGO 0.3363480735436051
Icon Url: https://cdn.coinranking.com/lzbmCkUGB/algo.svg
Rank Url: https://coinranking.com/coin/TpHE2IShQw-sJ+algorand-algo

BCH 117.6368488011856
Icon Url: https://cdn.coinranking.com/By8ziihX7/bch.svg
Rank Url: https://coinranking.com/coin/ZlZpzOJo43mIo+bitcoincash-bch

BTCB 19459.94559421814
Icon Url: https://cdn.coinranking.com/Swr_SeZio/4023.png
Rank Url: https://coinranking.com/coin/9_jH48RBW+bitcoinbep2-btcb

CRO 0.10801599272993674
Icon Url: https://cdn.coinranking.com/2o91jm73M/cro.svg
Rank Url: https://coinranking.com/coin/65PHZTpmE55b+cronos-cro

NEAR 3.521530692396976
Icon Url: https://cdn.coinranking.com/Cth83dCnl/near.png
Rank Url: https://coinranking.com/coin/DCrsaMv68+nearprotocol-near

LUNC 0.000300100934329925
Icon Url: https://cdn.coinranking.com/F-PJdF8Um/LUNA.svg
Rank Url: https://coinranking.com/coin/AaQUAs2Mc+terraclassic-lunc

ENS 17.904044502859836
Icon Url: https://cdn.coinranking.com/fmYxEUV5a/cropped-logo37-Converted-01-192x192.png
Rank Url: https://coinranking.com/coin/SbWqqTui-+energyswap-ens

WEMIX 1.777425448394786
Icon Url: https://cdn.coinranking.com/1N84MQsoO/7548.png
Rank Url: https://coinranking.com/coin/08CsQa-Ov+wemixtoken-wemix

FLOW 1.7045296670751668
Icon Url: https://cdn.coinranking.com/xh8X8QBss/flow.png
Rank Url: https://coinranking.com/coin/QQ0NCmjVq+flow-flow

FIL 5.437189801151558
Icon Url: https://cdn.coinranking.com/vUmvv-IQA/FIL3-filecoin.svg?size=48x48
Rank Url: https://coinranking.com/coin/ymQub4fuB+filecoin-fil

VET 0.02340419189659723
Icon Url: https://cdn.coinranking.com/B1_TDu9Dm/VEN.svg
Rank Url: https://coinranking.com/coin/FEbS54wxo4oIl+vechain-vet

ICP 5.821205097188023
Icon Url: https://cdn.coinranking.com/1uJ_RVrmC/dfinity-icp.png
Rank Url: https://coinranking.com/coin/aMNLwaUbY+internetcomputerdfinity-icp

MANA 0.6950642377917485
Icon Url: https://cdn.coinranking.com/ph_svUzXs/decentraland(1).svg
Rank Url: https://coinranking.com/coin/tEf7-dnwV3BXS+decentraland-mana

QNT 153.52052550868004
Icon Url: https://cdn.coinranking.com/a-i9Dl392/quant.png
Rank Url: https://coinranking.com/coin/bauj_21eYVwso+quant-qnt

IMX 0.7350582380594567
Icon Url: https://cdn.coinranking.com/naRGT2Y_X/10603.png
Rank Url: https://coinranking.com/coin/Z96jIvLU7+immutablex-imx

HBAR 0.06001197625745847
Icon Url: https://cdn.coinranking.com/dSCnSLilQ/hedera.svg
Rank Url: https://coinranking.com/coin/jad286TjB+hedera-hbar

FRAX 0.9994682895984994
Icon Url: https://cdn.coinranking.com/BpVNCX-NM/frax.png
Rank Url: https://coinranking.com/coin/KfWtaeV1W+frax-frax

EGLD 56.492683806968245
Icon Url: https://cdn.coinranking.com/X62ruAuZQ/Elrond.svg
Rank Url: https://coinranking.com/coin/omwkOTglq+elrond-egld

XTZ 1.4297831232398002
Icon Url: https://cdn.coinranking.com/HkLUdilQ7/xtz.svg
Rank Url: https://coinranking.com/coin/fsIbGOEJWbzxG+tezos-xtz

CHZ 0.2158837025152842
Icon Url: https://cdn.coinranking.com/gTsOlSnwR/4066.png
Rank Url: https://coinranking.com/coin/GSCt2y6YSgO26+chiliz-chz

SAND 0.8353822340699845
Icon Url: https://cdn.coinranking.com/kd_vwOcnI/sandbox.png
Rank Url: https://coinranking.com/coin/pxtKbG5rg+thesandbox-sand

LDO 1.454182428883087
Icon Url: https://cdn.coinranking.com/Wp6LFY6ZZ/8000.png
Rank Url: https://coinranking.com/coin/Pe93bIOD2+lidodaotoken-ldo

EOS 1.127982546846249
Icon Url: https://cdn.coinranking.com/PqOYrWSje/eos2.svg
Rank Url: https://coinranking.com/coin/iAzbfXiBBKkR6+eos-eos

AAVE 75.81367056307107
Icon Url: https://cdn.coinranking.com/4bpYKqV4X/AAVE.png
Rank Url: https://coinranking.com/coin/ixgUfzmLR+aave-aave

Soccer Example

Soccer Predictions

import requests

url = "https://football-prediction-api.p.rapidapi.com/api/v2/predictions"

querystring = {"market":"classic","iso_date":"2022-10-09","federation":"UEFA"}

headers = {
	"X-RapidAPI-Key": "686830ba27msh513db9752c312c4p1115d7jsn310f307263ee",
	"X-RapidAPI-Host": "football-prediction-api.p.rapidapi.com"
}

response = requests.request("GET", url, headers=headers, params=querystring)

print(response.text)
{"data": [{"home_team": "Spartak Moskva", "away_team": "Krylya Sovetov Samara", "id": 219525, "market": "classic", "competition_name": "Premier League", "prediction": "1", "competition_cluster": "Russia", "status": "won", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "5 - 2", "start_date": "2022-10-09T12:00:00", "last_update_at": "2022-10-08T20:16:09.630375", "odds": {"1": 1.615, "X": 4.19, "2": 5.275, "1X": 1.165, "X2": 2.205, "12": 1.225}}, {"home_team": "Servette", "away_team": "Luzern", "id": 219553, "market": "classic", "competition_name": "Swiss Super League", "prediction": "X2", "competition_cluster": "Switzerland", "status": "won", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "1 - 1", "start_date": "2022-10-09T13:15:00", "last_update_at": "2022-10-09T07:11:34.111205", "odds": {"1": 2.146, "X": 3.59, "2": 3.024, "1X": 1.353, "X2": 1.65, "12": 1.261}}, {"home_team": "Pro Sesto", "away_team": "Triestina", "id": 219350, "market": "classic", "competition_name": "Serie C", "prediction": "1X", "competition_cluster": "Italy", "status": "won", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "2 - 1", "start_date": "2022-10-09T13:30:00", "last_update_at": "2022-10-09T08:13:49.273127", "odds": {"1": 2.608, "X": 3.045, "2": 2.502, "1X": 1.452, "X2": 1.412, "12": 1.312}}, {"home_team": "Kryvbas Krivoj Rog", "away_team": "FC Minaj", "id": 219564, "market": "classic", "competition_name": "Premier League", "prediction": "1X", "competition_cluster": "Ukraine", "status": "won", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "0 - 0", "start_date": "2022-10-09T13:00:00", "last_update_at": "2022-10-09T08:13:49.273127", "odds": {"1": 1.884, "X": 3.338, "2": 3.792, "1X": 1.222, "X2": 1.798, "12": 1.275}}, {"home_team": "Malmo", "away_team": "IFK Varnamo", "id": 219542, "market": "classic", "competition_name": "Allsvenskan", "prediction": "1", "competition_cluster": "Sweden", "status": "lost", "federation": "UEFA", "is_expired": true, "season": "2022", "result": "0 - 0", "start_date": "2022-10-09T14:00:00", "last_update_at": "2022-10-09T08:13:49.273127", "odds": {"1": 1.247, "X": 5.707, "2": 10.543, "1X": 1.047, "X2": 3.716, "12": 1.127}}, {"home_team": "Crystal Palace", "away_team": "Leeds", "id": 219316, "market": "classic", "competition_name": "Premier League", "prediction": "1", "competition_cluster": "England", "status": "won", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "2 - 1", "start_date": "2022-10-09T14:00:00", "last_update_at": "2022-10-09T08:13:49.273127", "odds": {"1": 2.046, "X": 3.6, "2": 3.573, "1X": 1.294, "X2": 1.757, "12": 1.286}}, {"home_team": "FS Metta LU Riga", "away_team": "FK Valmiera", "id": 219467, "market": "classic", "competition_name": "Virsliga", "prediction": "2", "competition_cluster": "Latvia", "status": "won", "federation": "UEFA", "is_expired": true, "season": "2022", "result": "1 - 4", "start_date": "2022-10-09T13:00:00", "last_update_at": "2022-10-09T08:13:49.273127", "odds": {"1": 21.0, "X": 8.292, "2": 1.078, "1X": 6.19, "X2": 1.006, "12": 1.043}}, {"home_team": "Albinoleffe", "away_team": "Novara", "id": 219344, "market": "classic", "competition_name": "Serie C", "prediction": "12", "competition_cluster": "Italy", "status": "won", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "3 - 1", "start_date": "2022-10-09T13:30:00", "last_update_at": "2022-10-09T08:13:49.273127", "odds": {"1": 2.802, "X": 3.037, "2": 2.342, "1X": 1.503, "X2": 1.372, "12": 1.312}}, {"home_team": "Slovan Liberec", "away_team": "Banik Ostrava", "id": 219422, "market": "classic", "competition_name": "First League", "prediction": "12", "competition_cluster": "Czech Republic", "status": "lost", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "0 - 0", "start_date": "2022-10-09T15:00:00", "last_update_at": "2022-10-09T08:13:49.273127", "odds": {"1": 2.295, "X": 3.448, "2": 2.837, "1X": 1.392, "X2": 1.573, "12": 1.293}}, {"home_team": "FK Cukaricki", "away_team": "Javor Ivanjica", "id": 219533, "market": "classic", "competition_name": "SuperLiga", "prediction": "1", "competition_cluster": "Serbia", "status": "won", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "3 - 0", "start_date": "2022-10-09T14:00:00", "last_update_at": "2022-10-09T08:13:49.273127", "odds": {"1": 1.285, "X": 4.78, "2": 8.392, "1X": 1.048, "X2": 3.167, "12": 1.137}}, {"home_team": "Clermont Foot", "away_team": "Auxerre", "id": 219324, "market": "classic", "competition_name": "Ligue 1", "prediction": "X2", "competition_cluster": "France", "status": "lost", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "2 - 1", "start_date": "2022-10-09T14:00:00", "last_update_at": "2022-10-09T08:13:49.273127", "odds": {"1": 2.07, "X": 3.439, "2": 3.637, "1X": 1.283, "X2": 1.736, "12": 1.303}}, {"home_team": "Udinese", "away_team": "Atalanta", "id": 219339, "market": "classic", "competition_name": "Serie A", "prediction": "X2", "competition_cluster": "Italy", "status": "won", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "2 - 2", "start_date": "2022-10-09T14:00:00", "last_update_at": "2022-10-09T08:13:49.273127", "odds": {"1": 2.529, "X": 3.416, "2": 2.757, "1X": 1.436, "X2": 1.504, "12": 1.313}}, {"home_team": "Go Ahead Eagles", "away_team": "SC Cambuur", "id": 219489, "market": "classic", "competition_name": "Eredivisie", "prediction": "1", "competition_cluster": "Netherlands", "status": "lost", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "0 - 0", "start_date": "2022-10-09T11:15:00", "last_update_at": "2022-10-09T08:13:49.273127", "odds": {"1": 2.204, "X": 3.659, "2": 2.974, "1X": 1.376, "X2": 1.63, "12": 1.266}}, {"home_team": "Botev Plovdiv II", "away_team": "Yantra Gabrovo", "id": 219415, "market": "classic", "competition_name": "Second PFL", "prediction": "1X", "competition_cluster": "Bulgaria", "status": "won", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "2 - 0", "start_date": "2022-10-09T14:00:00", "last_update_at": "2022-10-09T08:13:49.273127", "odds": {"1": 2.045, "X": 3.065, "2": 3.43, "1X": 1.245, "X2": 1.605, "12": 1.29}}, {"home_team": "AC Juvenes Dogana", "away_team": "SS Virtus", "id": 219529, "market": "classic", "competition_name": "Campionato Sammarinese", "prediction": "2", "competition_cluster": "San Marino", "status": "won", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "1 - 3", "start_date": "2022-10-09T14:00:00", "last_update_at": "2022-10-09T08:13:49.273127", "odds": {"1": 5.675, "X": 3.8, "2": 1.495, "1X": 2.255, "X2": 1.105, "12": 1.2}}, {"home_team": "Skeid", "away_team": "Start Kristiansand", "id": 219505, "market": "classic", "competition_name": "1. 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2023", "result": "1 - 0", "start_date": "2022-10-09T19:45:00", "last_update_at": "2022-10-09T16:09:36.716201", "odds": {"1": 2.53, "X": 3.471, "2": 2.726, "1X": 1.441, "X2": 1.509, "12": 1.303}}, {"home_team": "FK Rostov", "away_team": "FK Krasnodar", "id": 219528, "market": "classic", "competition_name": "Premier League", "prediction": "X2", "competition_cluster": "Russia", "status": "lost", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "3 - 2", "start_date": "2022-10-09T17:00:00", "last_update_at": "2022-10-09T15:10:05.621053", "odds": {"1": 1.945, "X": 3.725, "2": 3.765, "1X": 1.27, "X2": 1.81, "12": 1.275}}, {"home_team": "Panathinaikos", "away_team": "Asteras Tripolis", "id": 219449, "market": "classic", "competition_name": "Super League", "prediction": "1", "competition_cluster": "Greece", "status": "won", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "1 - 0", "start_date": "2022-10-09T17:30:00", "last_update_at": "2022-10-09T16:09:36.716201", "odds": {"1": 1.417, "X": 4.05, "2": 8.136, "1X": 1.067, "X2": 2.727, "12": 1.211}}, {"home_team": "Roma", "away_team": "Lecce", "id": 219341, "market": "classic", "competition_name": "Serie A", "prediction": "1", "competition_cluster": "Italy", "status": "won", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "2 - 1", "start_date": "2022-10-09T19:45:00", "last_update_at": "2022-10-09T16:09:36.716201", "odds": {"1": 1.421, "X": 4.631, "2": 7.907, "1X": 1.089, "X2": 2.814, "12": 1.19}}, {"home_team": "Charleroi", "away_team": "Standard Liege", "id": 219407, "market": "classic", "competition_name": "First Division A", "prediction": "1", "competition_cluster": "Belgium", "status": "lost", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "0 - 1", "start_date": "2022-10-09T17:30:00", "last_update_at": "2022-10-09T16:09:36.716201", "odds": {"1": 2.112, "X": 3.628, "2": 3.21, "1X": 1.337, "X2": 1.692, "12": 1.275}}, {"home_team": "Union Saint-Gilloise", "away_team": "Cercle Brugge", "id": 219408, "market": "classic", "competition_name": "First Division A", "prediction": "1", "competition_cluster": "Belgium", "status": "won", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "2 - 1", "start_date": "2022-10-09T20:00:00", "last_update_at": "2022-10-09T18:09:24.180394", "odds": {"1": 1.707, "X": 3.828, "2": 4.6, "1X": 1.188, "X2": 2.088, "12": 1.25}}, {"home_team": "Vitesse Arnhem", "away_team": "Fortuna Sittard", "id": 219493, "market": "classic", "competition_name": "Eredivisie", "prediction": "1", "competition_cluster": "Netherlands", "status": "lost", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "1 - 2", "start_date": "2022-10-09T19:00:00", "last_update_at": "2022-10-09T16:09:36.716201", "odds": {"1": 1.617, "X": 4.181, "2": 4.857, "1X": 1.174, "X2": 2.234, "12": 1.217}}, {"home_team": "Levante", "away_team": "Racing Santander", "id": 219370, "market": "classic", "competition_name": "Segunda Division", "prediction": "1", "competition_cluster": "Spain", "status": "lost", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "0 - 1", "start_date": "2022-10-09T17:30:00", "last_update_at": "2022-10-09T16:09:36.716201", "odds": {"1": 1.633, "X": 3.703, "2": 5.233, "1X": 1.142, "X2": 2.152, "12": 1.247}}, {"home_team": "Shamrock Rovers", "away_team": "Shelbourne", "id": 219460, "market": "classic", "competition_name": "Premier Division", "prediction": "1", "competition_cluster": "Ireland", "status": "won", "federation": "UEFA", "is_expired": true, "season": "2022", "result": "3 - 2", "start_date": "2022-10-09T17:00:00", "last_update_at": "2022-10-09T14:11:45.119363", "odds": {"1": 1.409, "X": 4.151, "2": 7.979, "1X": 1.071, "X2": 2.73, "12": 1.209}}, {"home_team": "Rosenborg", "away_team": "Valerenga Oslo", "id": 219504, "market": "classic", "competition_name": "Eliteserien", "prediction": "1", "competition_cluster": "Norway", "status": "won", "federation": "UEFA", "is_expired": true, "season": "2022", "result": "3 - 0", "start_date": "2022-10-09T18:00:00", "last_update_at": "2022-10-09T16:09:36.716201", "odds": {"1": 1.956, "X": 3.816, "2": 3.4, "1X": 1.304, "X2": 1.803, "12": 1.246}}, {"home_team": "SC Braga", "away_team": "Chaves", "id": 219519, "market": "classic", "competition_name": "Primeira Liga", "prediction": "1", "competition_cluster": "Portugal", "status": "lost", "federation": "UEFA", "is_expired": true, "season": "2022 - 2023", "result": "0 - 1", "start_date": "2022-10-09T20:30:00", "last_update_at": "2022-10-09T19:11:30.815514", "odds": {"1": 1.297, "X": 5.371, "2": 8.614, "1X": 1.064, "X2": 3.376, "12": 1.143}}]}
import requests

url = "https://football-prediction-api.p.rapidapi.com/api/v2/predictions"

querystring = {"market":"classic","iso_date":"2022-10-05","federation":"UEFA"}

headers = {
	"X-RapidAPI-Key": "686830ba27msh513db9752c312c4p1115d7jsn310f307263ee",
	"X-RapidAPI-Host": "football-prediction-api.p.rapidapi.com"
}

response = requests.request("GET", url, headers=headers, params=querystring)

# print(response.text)


teams = response.json().get('data')
for team in teams:  # the specific team in the list of teams/games on the day
    if team["home_team"] == "Chelsea":  # this filters for the team Chelsea
        for key, value in team.items():  # this finds the Chelsea game and the statistics of the game
            print(key, value)
home_team Chelsea
away_team Milan
id 218522
market classic
competition_name grp. E
prediction X2
competition_cluster Champions League
status lost
federation UEFA
is_expired True
season 2022 - 2023
result 3 - 0
start_date 2022-10-05T20:00:00
last_update_at 2022-10-05T17:09:19.757643
odds {'1': 1.711, 'X': 3.904, '2': 4.95, '1X': 1.177, 'X2': 2.134, '12': 1.254}

We can use this API in our group project as our whole group project has to do with iconic people in sports. This API has Soccer predictions. We can find and use similar API's from many other sports to easily develop our group website for iconic players in sports.