Python RapidAPI
APIs can be found all over the internet. A great consolidator of many APIs is RapidAPI. In this blog we will use a site to consolidates API stats. Learning a few lines of code and you can start extracting lots of data from the internet via APIs.
"""
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
"""
RapidAPI is the world's largest API Marketplace.
Developers use Rapid API to discover and connect to thousands of APIs.
"""
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) # uncomment this line to see raw data
# 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)
# RapidAPI page https://rapidapi.com/Coinranking/api/coinranking1/
# Begin Rapid API Code
import requests
url = "https://nba-schedule.p.rapidapi.com/schedule"
querystring = {"team":"GSW","date":"31-01-2022"}
headers = {
"X-RapidAPI-Key": "4f0f5ee0b6msh1bcb7e2bb792a18p18c6b0jsn03bc958312b3",
"X-RapidAPI-Host": "nba-schedule.p.rapidapi.com"
}
response = requests.request("GET", url, headers=headers, params=querystring)
print(response.json())
# 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"