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.
• 11 min read
- Python, RapidAPI Terms
- Covid19 RapidAPI Example
- Digital Coin Example
- Formatting Digital Coin example
- Hacks
Covid19 RapidAPI Example
To begin the API journey. You need to find an API provider.
- RapidAPI is a great option. You must setup and account, but there are many free options.
- Goto this page for starters, the Corona virus World and India data- Under Code Snippets pick Python - Requests
RapidAPI, you will select Python Requests type of code to work with you Notebook.
- The url is the endpoint to which the API is directed
- The headers is a dictionary data structure to send special messaging to the endpoint
- The requests.request() python function is used to send a request and retrieve their responses
- The response variable receives result of of the request in JSON text
Next step, is to format the response according to your data science needs
"""
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)
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
import requests
url = "https://billboard3.p.rapidapi.com/hot-100"
querystring = {"date":"2022-07-07","range":"1-10"}
headers = {
"X-RapidAPI-Key": "a887a57462msh889608deb83b3ddp11d368jsnce0092f67d7a",
"X-RapidAPI-Host": "billboard3.p.rapidapi.com"
}
response = requests.request("GET", url, headers=headers, params=querystring)
print(response.text)
[{"artist":"Harry Styles","title":"As It Was","image":"https://charts-static.billboard.com/img/2022/04/harry-styles-bma-as-it-was-po3-180x180.jpg","award":false,"awardsList":[],"rank":1,"weeksAtNo1":8,"lastWeek":2,"change":"up","peakPosition":1,"weeksOnChart":13},{"artist":"Jack Harlow","title":"First Class","image":"https://charts-static.billboard.com/img/2018/01/jack-harlow-i43-180x180.jpg","award":false,"awardsList":[],"rank":2,"lastWeek":3,"change":"up","peakPosition":1,"weeksOnChart":12},{"artist":"Lizzo","title":"About Damn Time","image":"https://charts-static.billboard.com/img/2022/04/lizzo-o9x-about-damn-time-f6q-180x180.jpg","award":true,"awardsList":[{"awardName":"Gains In Performance","svg":"<svg xmlns=\"http://www.w3.org/2000/svg\" style=\"width:100%;height:auto\" viewBox=\"0 0 128 171.211\"><g data-name=\"Group 12\"><path data-name=\"Path 3036\" d=\"M0 87.211v-24l64-32 64 32v24l-64-32z\" fill=\"#fcee21\"></path><path data-name=\"Path 3037\" d=\"M0 127.211v-24l64-32 64 32v24l-64-32z\" fill=\"#fcee21\"></path><path data-name=\"Path 3038\" d=\"M0 167.211v-24l64-32 64 32v24l-64-32z\" fill=\"#fcee21\"></path><path data-name=\"Path 3039\" d=\"M24.526 59.211H44v112h40v-112h19.474L64 0zm51.474-8v112H52v-112H39.474L64 14.422l24.526 36.789z\" fill=\"#1a48c4\"></path></g></svg>"}],"rank":3,"lastWeek":5,"change":"up","peakPosition":3,"weeksOnChart":11},{"artist":"Future Featuring Drake & Tems","title":"Wait For U","image":"https://charts-static.billboard.com/img/1988/03/future-f8b-180x180.jpg","award":false,"awardsList":[],"rank":4,"lastWeek":4,"change":"same","peakPosition":1,"weeksOnChart":9},{"artist":"Drake Featuring 21 Savage","title":"Jimmy Cooks","image":"https://charts-static.billboard.com/img/2009/04/drake-04g-180x180.jpg","award":false,"awardsList":[],"rank":5,"lastWeek":1,"change":"down","peakPosition":1,"weeksOnChart":2},{"artist":"Kate Bush","title":"Running Up That Hill (A Deal With God)","image":"https://charts-static.billboard.com/img/2021/03/kate-bush-qv2-running-up-that-hill-1cx-180x180.jpg","award":false,"awardsList":[],"rank":6,"lastWeek":9,"change":"up","peakPosition":4,"weeksOnChart":25},{"artist":"Beyonce","title":"Break My Soul","image":"https://charts-static.billboard.com/img/2022/07/beyonce-0na-break-my-soul-kqf-180x180.jpg","award":true,"awardsList":[{"awardName":"Biggest gain in airplay","svg":"<svg xmlns=\"http://www.w3.org/2000/svg\" style=\"width:100%;height:auto\" viewBox=\"0 0 136 165.558\"><g data-name=\"Group 9\"><path data-name=\"Path 3019\" d=\"M116 65.558l-16 24h8v24h16v-24h8z\" fill=\"#fcee21\"></path><path data-name=\"Path 3020\" d=\"M20 65.558l-16 24h8v24h16v-24h8z\" fill=\"#fcee21\"></path><path data-name=\"Path 3021\" d=\"M88 26.47a20 20 0 10-25.1 19.316l-.2.731c-.892 3.258-2.153 7.914-3.66 13.5-3.011 11.166-7 26.056-10.991 40.948-7.971 29.779-15.913 59.561-15.913 59.561l-1.342 5.031h74.424L73.038 45.801A20.018 20.018 0 0088 26.47zm-32 0a12 12 0 1112.065 12c-.086 0-.173-.007-.256-.006A12.008 12.008 0 0156 26.47zm11.951 31.231l9.635 35.857H58.314c3.707-13.832 7.155-26.675 9.637-35.857zm-18.2 67.857a66812.91 66812.91 0 016.42-24h23.564l6.449 24zm-8.545 32c1.8-6.744 4.008-15.021 6.407-24h40.72l6.449 24z\" fill=\"#1a48c4\"></path><path data-name=\"Path 3022\" d=\"M101.169 40.484a36.1 36.1 0 000-28.028l-7.368 3.116a28.1 28.1 0 010 21.8z\" fill=\"#1a48c4\"></path><path data-name=\"Path 3023\" d=\"M42.2 37.368a28.1 28.1 0 010-21.8l-7.368-3.116a36.1 36.1 0 000 28.028z\" fill=\"#1a48c4\"></path><path data-name=\"Path 3024\" d=\"M108.544 9.344a44.158 44.158 0 010 34.251l7.368 3.116a52.156 52.156 0 000-40.483z\" fill=\"#1a48c4\"></path><path data-name=\"Path 3025\" d=\"M20.088 6.228a52.156 52.156 0 000 40.483l7.368-3.116a44.158 44.158 0 010-34.251z\" fill=\"#1a48c4\"></path><path data-name=\"Path 3026\" d=\"M130.655 0l-7.368 3.116a60.216 60.216 0 010 46.707l7.368 3.116a68.214 68.214 0 000-52.939z\" fill=\"#1a48c4\"></path><path data-name=\"Path 3027\" d=\"M5.345 0a68.214 68.214 0 000 52.939l7.368-3.116a60.216 60.216 0 010-46.707z\" fill=\"#1a48c4\"></path></g></svg>"},{"awardName":"Gains In Performance","svg":"<svg xmlns=\"http://www.w3.org/2000/svg\" style=\"width:100%;height:auto\" viewBox=\"0 0 128 171.211\"><g data-name=\"Group 12\"><path data-name=\"Path 3036\" d=\"M0 87.211v-24l64-32 64 32v24l-64-32z\" fill=\"#fcee21\"></path><path data-name=\"Path 3037\" d=\"M0 127.211v-24l64-32 64 32v24l-64-32z\" fill=\"#fcee21\"></path><path data-name=\"Path 3038\" d=\"M0 167.211v-24l64-32 64 32v24l-64-32z\" fill=\"#fcee21\"></path><path data-name=\"Path 3039\" d=\"M24.526 59.211H44v112h40v-112h19.474L64 0zm51.474-8v112H52v-112H39.474L64 14.422l24.526 36.789z\" fill=\"#1a48c4\"></path></g></svg>"}],"rank":7,"lastWeek":15,"change":"up","peakPosition":7,"weeksOnChart":2},{"artist":"Bad Bunny & Chencho Corleone","title":"Me Porto Bonito","image":"https://charts-static.billboard.com/img/2022/05/bad-bunny-c3m-me-porto-bonito-kug-180x180.jpg","award":true,"awardsList":[{"awardName":"Gains In Performance","svg":"<svg xmlns=\"http://www.w3.org/2000/svg\" style=\"width:100%;height:auto\" viewBox=\"0 0 128 171.211\"><g data-name=\"Group 12\"><path data-name=\"Path 3036\" d=\"M0 87.211v-24l64-32 64 32v24l-64-32z\" fill=\"#fcee21\"></path><path data-name=\"Path 3037\" d=\"M0 127.211v-24l64-32 64 32v24l-64-32z\" fill=\"#fcee21\"></path><path data-name=\"Path 3038\" d=\"M0 167.211v-24l64-32 64 32v24l-64-32z\" fill=\"#fcee21\"></path><path data-name=\"Path 3039\" d=\"M24.526 59.211H44v112h40v-112h19.474L64 0zm51.474-8v112H52v-112H39.474L64 14.422l24.526 36.789z\" fill=\"#1a48c4\"></path></g></svg>"}],"rank":8,"lastWeek":11,"change":"up","peakPosition":7,"weeksOnChart":8},{"artist":"Glass Animals","title":"Heat Waves","image":"https://charts-static.billboard.com/img/2020/07/glass-animals-rtd-heat-waves-o3i-180x180.jpg","award":false,"awardsList":[],"rank":9,"lastWeek":10,"change":"up","peakPosition":1,"weeksOnChart":76},{"artist":"Joji","title":"Glimpse Of Us","image":"https://charts-static.billboard.com/img/2022/06/joji-77h-glimpse-of-us-gt3-180x180.jpg","award":false,"awardsList":[],"rank":10,"lastWeek":8,"change":"down","peakPosition":8,"weeksOnChart":3}]
# 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": "a887a57462msh889608deb83b3ddp11d368jsnce0092f67d7a", # place your key here
"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"
for coin in json["data"]["coins"]:
print(f'{coin["symbol"]} {coin["name"]} {coin["price"]}')
{"status":"success","data":{"stats":{"total":1474,"totalCoins":21304,"totalMarkets":31359,"totalExchanges":171,"totalMarketCap":"933335720684","total24hVolume":"48393738116"},"coins":[{"uuid":"Qwsogvtv82FCd","symbol":"BTC","name":"Bitcoin","color":"#f7931A","iconUrl":"https://cdn.coinranking.com/bOabBYkcX/bitcoin_btc.svg","marketCap":"366055445082","price":"19087.564134101154","listedAt":1330214400,"tier":1,"change":"0.02","rank":1,"sparkline":["19100.77140776339","19139.343483909608","19107.74757626413","19125.26467544607","19155.377711491547","19145.90173200207","19137.946932319603","19099.16888294777","19106.891443704022","19100.13899301119","19117.10204473073","19106.849997500853","19096.64562593575","19122.13744293084","19130.868911012232","19138.422280581635","19164.21380746879","19178.68753406358","19167.829003771007","19158.503400192974","19142.31709233236","19112.76810728462","19099.76923890871","19100.26170553246","19091.446561683577"],"lowVolume":false,"coinrankingUrl":"https://coinranking.com/coin/Qwsogvtv82FCd+bitcoin-btc","24hVolume":"24848201802","btcPrice":"1"},{"uuid":"razxDUgYGNAdQ","symbol":"ETH","name":"Ethereum","color":"#3C3C3D","iconUrl":"https://cdn.coinranking.com/rk4RKHOuW/eth.svg","marketCap":"157326928353","price":"1285.2687649159172","listedAt":1438905600,"tier":1,"change":"-0.36","rank":2,"sparkline":["1291.6776366017905","1296.2467641598541","1294.5656549921914","1296.4996947186326","1301.2397970600425","1300.1684065556988","1300.1425119576454","1296.0748599479127","1297.4360791195973","1296.7412977415993","1298.0926038860634","1294.8351056080965","1293.0538957059812","1296.5828162139526","1297.509689605098","1297.3908773329456","1299.4608306391524","1298.3164350785978","1295.5022856807816","1295.0542927297345","1296.5467826169427","1292.9809794127207","1287.4765152733794","1287.0214001306797","1284.9535226942207"],"lowVolume":false,"coinrankingUrl":"https://coinranking.com/coin/razxDUgYGNAdQ+ethereum-eth","24hVolume":"8177600344","btcPrice":"0.06733539994344812"},{"uuid":"HIVsRcGKkPFtW","symbol":"USDT","name":"Tether 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ETH Ethereum 1285.2687649159172
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BNB Binance Coin 269.2282069028177
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ADA Cardano 0.3722910160714077
SOL Solana 30.650855742571498
DOGE Dogecoin 0.05879608357207651
DOT Polkadot 6.076480163125043
MATIC Polygon 0.7622684423622607
DAI Dai 1.0003099070659387
SHIB Shiba Inu 0.000009995133678276
TRX TRON 0.06175363394022226
WETH Wrapped Ether 1286.1604788767515
WBTC Wrapped BTC 19075.80943893763
AVAX Avalanche 15.536559461452313
UNI Uniswap 5.758114772582682
OKB OKB 16.752966087401443
CAKE PancakeSwap 4.386250093491571
LTC Litecoin 51.84406470389362
ATOM Cosmos 11.389122173134037
FTT FTX Token 23.185639474431486
ETC Ethereum Classic 22.870545920392892
XMR Monero 142.81019136315027
XLM Stellar 0.11297950147486376
ALGO Algorand 0.3044291206613805
BCH Bitcoin Cash 110.4425051427835
CRO Cronos 0.10056131470511871
LUNC Terra Classic 0.000279140477695159
NEAR NEAR Protocol 2.993836238275153
ENS EnergySwap 16.87308186223951
WEMIX WEMIX TOKEN 1.6096446841259688
FLOW Flow 1.4948353359974944
HBAR Hedera 0.06261594723177151
FIL Filecoin 5.0587488517882235
HT Huobi Token 7.30959391726921
QNT Quant 152.78612147861034
VET VeChain 0.022165374184944554
MANA Decentraland 0.6279746977505206
FRAX Frax 0.9996227504728086
ICP Internet Computer (DFINITY) 4.924311526800767
IMX Immutable X 0.6516763553805149
EGLD Elrond 53.49681778914123
XTZ Tezos 1.3306691838285076
SAND The Sandbox 0.7500380086801673
CHZ Chiliz 0.18390257536173799
USDP Pax Dollar 0.9978185729334482
EOS EOS 1.0158979090799296
import requests
url = "https://fashion4.p.rapidapi.com/v1/results"
payload = "url=https%3A%2F%2Fstorage.googleapis.com%2Fapi4ai-static%2Fsamples%2Ffashion-1.jpg"
headers = {
"content-type": "application/x-www-form-urlencoded",
"X-RapidAPI-Key": "a887a57462msh889608deb83b3ddp11d368jsnce0092f67d7a",
"X-RapidAPI-Host": "fashion4.p.rapidapi.com"
}
response = requests.request("POST", url, data=payload, headers=headers)
print(response.text)
{"results":[{"status":{"code":"ok","message":"Success"},"name":"https://storage.googleapis.com/api4ai-static/samples/fashion-1.jpg","md5":"873e9651b2e744d7310fd650a599838c","entities":[{"kind":"classes","name":"fashion-classes","classes":{"top, t-shirt, sweatshirt":0.8659043312072754,"outwear":0.22291582822799683,"vest":0.048274993896484375,"shorts":0.15788260102272034,"trousers":0.6151089072227478,"skirt":0.05556100606918335,"dress":0.11960658431053162,"glasses":0.20614215731620789,"hat":0.14154693484306335,"headband, head covering, hair accessory":0.06355646252632141,"tie":0.031345516443252563,"watch":0.10718181729316711,"belt":0.29583993554115295,"tights, stockings":0.09592151641845703,"sock":0.09212785959243774,"footwear":0.7198589444160461,"bag, wallet":0.44054579734802246,"scarf":0.06652951240539551}}]}]}
Formatting Digital Coin example
JSON text transferred from the API in the previous cell was converted to a Python Dictionary called json. The "coins" in the dictionary contain a list of the most relevant data. Look at the code and comments to see how the original text is turned into something understandable. Additionally, there are error check to make sure we are starting the code with the expectation that the API was run correctly.
"""
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'>
Did you insert a valid key in X-RapidAPI-Key of API cell above?
{'results': [{'entity': {'category': None, 'country': {'alpha2': 'US', 'name': 'USA'}, 'disabled': None, 'displayInverseHomeAwayTeams': None, 'firstName': '', 'gender': None, 'id': 853680, 'lastName': '', 'name': 'Tom Brady', 'nameCode': None, 'national': None, 'position': 'QB', 'ranking': None, 'shortName': 'T. Brady', 'slug': 'brady-tom', 'sport': None, 'team': {'country': {'alpha2': 'US', 'name': 'USA'}, 'disabled': False, 'gender': 'M', 'id': 4388, 'name': 'Tampa Bay Buccaneers', 'nameCode': 'TBB', 'national': False, 'ranking': None, 'shortName': 'Tampa Bay Buccaneers', 'slug': 'tampa-bay-buccaneers', 'sport': {'id': 63, 'name': 'American football', 'slug': 'american-football'}, 'teamColors': {'primary': '#d50a0a', 'secondary': '#34302b', 'text': '#34302b'}, 'type': 0, 'userCount': 14002}, 'teamColors': None, 'type': None, 'userCount': 10368}, 'score': 1271709, 'type': 'player'}, {'entity': {'category': None, 'country': {'alpha2': None, 'name': None}, 'disabled': None, 'displayInverseHomeAwayTeams': None, 'firstName': '', 'gender': None, 'id': 1132339, 'lastName': '', 'name': 'Brady Christensen', 'nameCode': None, 'national': None, 'position': 'OT', 'ranking': None, 'shortName': 'B. Christensen', 'slug': 'christensen-brady', 'sport': None, 'team': {'country': {'alpha2': 'US', 'name': 'USA'}, 'disabled': None, 'gender': 'M', 'id': 4415, 'name': 'Carolina Panthers', 'nameCode': 'CAR', 'national': False, 'ranking': None, 'shortName': 'Carolina Panthers', 'slug': 'carolina-panthers', 'sport': {'id': 63, 'name': 'American football', 'slug': 'american-football'}, 'teamColors': {'primary': '#3a84c5', 'secondary': '#07141e', 'text': '#07141e'}, 'type': 0, 'userCount': 2477}, 'teamColors': None, 'type': None, 'userCount': 2}, 'score': 205, 'type': 'player'}, {'entity': {'category': None, 'country': {'alpha2': 'US', 'name': 'USA'}, 'disabled': None, 'displayInverseHomeAwayTeams': None, 'firstName': None, 'gender': None, 'id': 887887, 'lastName': None, 'name': 'Brady Sheldon', 'nameCode': None, 'national': None, 'position': 'LB', 'ranking': None, 'shortName': 'B. Sheldon', 'slug': 'sheldon-brady', 'sport': None, 'team': {'country': {'alpha2': None, 'name': None}, 'disabled': True, 'gender': None, 'id': 273134, 'name': 'No team', 'nameCode': 'NTE', 'national': False, 'ranking': None, 'shortName': 'No team', 'slug': 'no-team', 'sport': {'id': 63, 'name': 'American football', 'slug': 'american-football'}, 'teamColors': {'primary': '#52b030', 'secondary': '#52b030', 'text': '#ffffff'}, 'type': 0, 'userCount': 0}, 'teamColors': None, 'type': None, 'userCount': 0}, 'score': 0, 'type': 'player'}, {'entity': {'category': None, 'country': {'alpha2': None, 'name': None}, 'disabled': None, 'displayInverseHomeAwayTeams': None, 'firstName': None, 'gender': None, 'id': 984311, 'lastName': None, 'name': 'Tyre Brady', 'nameCode': None, 'national': None, 'position': 'WR', 'ranking': None, 'shortName': 'T. Brady', 'slug': 'brady-tyre', 'sport': None, 'team': {'country': {'alpha2': None, 'name': None}, 'disabled': True, 'gender': None, 'id': 273134, 'name': 'No team', 'nameCode': 'NTE', 'national': False, 'ranking': None, 'shortName': 'No team', 'slug': 'no-team', 'sport': {'id': 63, 'name': 'American football', 'slug': 'american-football'}, 'teamColors': {'primary': '#52b030', 'secondary': '#52b030', 'text': '#ffffff'}, 'type': 0, 'userCount': 0}, 'teamColors': None, 'type': None, 'userCount': 0}, 'score': 0, 'type': 'player'}]}
Hacks
Find and use an API as part of your project. An API and a little coding logic will be a big step toward getting meaningful data for a project. There are many API providers, find one that might work for your project to complete this hack. When picking an API you are looking for something that will work with either JavaScript Fetch or Python Request. Here are some samples, these are not qualified in any way.
Show API and format results in either Web Page or Jupyter Notebook. Ultimately, I will expect that we do APIs in backend (Python/Flask). However, for this Hack you can pick your preference. We will discuss pros and cons in next API tech talk.
import requests
url = "https://americanfootballapi.p.rapidapi.com/api/american-football/search/brady"
headers = {
"X-RapidAPI-Key": "a887a57462msh889608deb83b3ddp11d368jsnce0092f67d7a",
"X-RapidAPI-Host": "americanfootballapi.p.rapidapi.com"
}
response = requests.request("GET", url, headers=headers)
print(response.text)
{"results":[{"entity":{"category":null,"country":{"alpha2":"US","name":"USA"},"disabled":null,"displayInverseHomeAwayTeams":null,"firstName":"","gender":null,"id":853680,"lastName":"","name":"Tom Brady","nameCode":null,"national":null,"position":"QB","ranking":null,"shortName":"T. Brady","slug":"brady-tom","sport":null,"team":{"country":{"alpha2":"US","name":"USA"},"disabled":false,"gender":"M","id":4388,"name":"Tampa Bay Buccaneers","nameCode":"TBB","national":false,"ranking":null,"shortName":"Tampa Bay Buccaneers","slug":"tampa-bay-buccaneers","sport":{"id":63,"name":"American football","slug":"american-football"},"teamColors":{"primary":"#d50a0a","secondary":"#34302b","text":"#34302b"},"type":0,"userCount":14002},"teamColors":null,"type":null,"userCount":10368},"score":1271709,"type":"player"},{"entity":{"category":null,"country":{"alpha2":null,"name":null},"disabled":null,"displayInverseHomeAwayTeams":null,"firstName":"","gender":null,"id":1132339,"lastName":"","name":"Brady Christensen","nameCode":null,"national":null,"position":"OT","ranking":null,"shortName":"B. Christensen","slug":"christensen-brady","sport":null,"team":{"country":{"alpha2":"US","name":"USA"},"disabled":null,"gender":"M","id":4415,"name":"Carolina Panthers","nameCode":"CAR","national":false,"ranking":null,"shortName":"Carolina Panthers","slug":"carolina-panthers","sport":{"id":63,"name":"American football","slug":"american-football"},"teamColors":{"primary":"#3a84c5","secondary":"#07141e","text":"#07141e"},"type":0,"userCount":2477},"teamColors":null,"type":null,"userCount":2},"score":205,"type":"player"},{"entity":{"category":null,"country":{"alpha2":"US","name":"USA"},"disabled":null,"displayInverseHomeAwayTeams":null,"firstName":null,"gender":null,"id":887887,"lastName":null,"name":"Brady Sheldon","nameCode":null,"national":null,"position":"LB","ranking":null,"shortName":"B. Sheldon","slug":"sheldon-brady","sport":null,"team":{"country":{"alpha2":null,"name":null},"disabled":true,"gender":null,"id":273134,"name":"No team","nameCode":"NTE","national":false,"ranking":null,"shortName":"No team","slug":"no-team","sport":{"id":63,"name":"American football","slug":"american-football"},"teamColors":{"primary":"#52b030","secondary":"#52b030","text":"#ffffff"},"type":0,"userCount":0},"teamColors":null,"type":null,"userCount":0},"score":0,"type":"player"}]}
import requests
url = "https://americanfootballapi.p.rapidapi.com/api/american-football/search/brady"
querystring = {"sort":"new"}
headers = {
"X-RapidAPI-Key": "a887a57462msh889608deb83b3ddp11d368jsnce0092f67d7a",
"X-RapidAPI-Host": "americanfootballapi.p.rapidapi.com"
}
response = requests.request("GET", url, headers=headers, params=querystring)
print(response.text)
json = response.json().get('results')
# for post in json["results"]["entity"]:
# print(f'{post["category"]}')
# 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)
for post in json: # countries is a list
for posts in post["entity"]:
if posts["country"].get("name") == "USA":
for key, value in post.items():
print(key, value)
{"results":[{"entity":{"category":null,"country":{"alpha2":"US","name":"USA"},"disabled":null,"displayInverseHomeAwayTeams":null,"firstName":"","gender":null,"id":853680,"lastName":"","name":"Tom Brady","nameCode":null,"national":null,"position":"QB","ranking":null,"shortName":"T. Brady","slug":"brady-tom","sport":null,"team":{"country":{"alpha2":"US","name":"USA"},"disabled":false,"gender":"M","id":4388,"name":"Tampa Bay Buccaneers","nameCode":"TB","national":false,"ranking":null,"shortName":"Tampa Bay Buccaneers","slug":"tampa-bay-buccaneers","sport":{"id":63,"name":"American football","slug":"american-football"},"teamColors":{"primary":"#d50a0a","secondary":"#34302b","text":"#34302b"},"type":0,"userCount":14094},"teamColors":null,"type":null,"userCount":10398},"score":1275870,"type":"player"},{"entity":{"category":null,"country":{"alpha2":null,"name":null},"disabled":null,"displayInverseHomeAwayTeams":null,"firstName":"","gender":null,"id":1132339,"lastName":"","name":"Brady Christensen","nameCode":null,"national":null,"position":"OT","ranking":null,"shortName":"B. Christensen","slug":"christensen-brady","sport":null,"team":{"country":{"alpha2":"US","name":"USA"},"disabled":null,"gender":"M","id":4415,"name":"Carolina Panthers","nameCode":"CAR","national":false,"ranking":null,"shortName":"Carolina Panthers","slug":"carolina-panthers","sport":{"id":63,"name":"American football","slug":"american-football"},"teamColors":{"primary":"#3a84c5","secondary":"#07141e","text":"#07141e"},"type":0,"userCount":2488},"teamColors":null,"type":null,"userCount":2},"score":206,"type":"player"},{"entity":{"category":null,"country":{"alpha2":"US","name":"USA"},"disabled":null,"displayInverseHomeAwayTeams":null,"firstName":null,"gender":null,"id":887887,"lastName":null,"name":"Brady Sheldon","nameCode":null,"national":null,"position":"LB","ranking":null,"shortName":"B. Sheldon","slug":"sheldon-brady","sport":null,"team":{"country":{"alpha2":null,"name":null},"disabled":true,"gender":null,"id":273134,"name":"No team","nameCode":"NTE","national":false,"ranking":null,"shortName":"No team","slug":"no-team","sport":{"id":63,"name":"American football","slug":"american-football"},"teamColors":{"primary":"#52b030","secondary":"#52b030","text":"#ffffff"},"type":0,"userCount":0},"teamColors":null,"type":null,"userCount":0},"score":0,"type":"player"},{"entity":{"category":null,"country":{"alpha2":null,"name":null},"disabled":null,"displayInverseHomeAwayTeams":null,"firstName":null,"gender":null,"id":984311,"lastName":null,"name":"Tyre Brady","nameCode":null,"national":null,"position":"WR","ranking":null,"shortName":"T. Brady","slug":"brady-tyre","sport":null,"team":{"country":{"alpha2":null,"name":null},"disabled":true,"gender":null,"id":273134,"name":"No team","nameCode":"NTE","national":false,"ranking":null,"shortName":"No team","slug":"no-team","sport":{"id":63,"name":"American football","slug":"american-football"},"teamColors":{"primary":"#52b030","secondary":"#52b030","text":"#ffffff"},"type":0,"userCount":0},"teamColors":null,"type":null,"userCount":0},"score":0,"type":"player"}]}
--------------------------------------------------------------------------- TypeError Traceback (most recent call last) /home/aaron_ru/vscode/FP/_notebooks/2022-10-03-PBL-python_rapidapi.ipynb Cell 11 in <cell line: 26>() <a href='vscode-notebook-cell://wsl%2Bubuntu/home/aaron_ru/vscode/FP/_notebooks/2022-10-03-PBL-python_rapidapi.ipynb#X13sdnNjb2RlLXJlbW90ZQ%3D%3D?line=25'>26</a> for post in json: # countries is a list <a href='vscode-notebook-cell://wsl%2Bubuntu/home/aaron_ru/vscode/FP/_notebooks/2022-10-03-PBL-python_rapidapi.ipynb#X13sdnNjb2RlLXJlbW90ZQ%3D%3D?line=26'>27</a> for posts in post["entity"]: ---> <a href='vscode-notebook-cell://wsl%2Bubuntu/home/aaron_ru/vscode/FP/_notebooks/2022-10-03-PBL-python_rapidapi.ipynb#X13sdnNjb2RlLXJlbW90ZQ%3D%3D?line=27'>28</a> if posts["country"].get("name") == "USA": <a href='vscode-notebook-cell://wsl%2Bubuntu/home/aaron_ru/vscode/FP/_notebooks/2022-10-03-PBL-python_rapidapi.ipynb#X13sdnNjb2RlLXJlbW90ZQ%3D%3D?line=28'>29</a> for key, value in post.items(): <a href='vscode-notebook-cell://wsl%2Bubuntu/home/aaron_ru/vscode/FP/_notebooks/2022-10-03-PBL-python_rapidapi.ipynb#X13sdnNjb2RlLXJlbW90ZQ%3D%3D?line=29'>30</a> print(key, value) TypeError: string indices must be integers