Use nba-players.herokuapp.com API to download all images for NBA players

nbaplayers.py

import requests

def getTeam(team):
    request = requests.get('https://nba-players.herokuapp.com/players-stats-teams/' + team)
    if request.status_code == 200:
        return request.json()
    else:
        raise Exception("Query failed to run by returning code of {}. {}".format(request.status_code))

def getImageName(playerName):
	return "Person_" + playerName.replace(" ", "_").replace("'", "") + "_1.png"

teams = [ "gsw", "lac", "lal", "pho", "sac", "dal", "hou", "mem", "nor", "sas", "den", "min", "okc", "por", "uth", "bos", "bro", "nyk", "phi", "tor", "chi", "cle", "det", "ind", "mil", "atl", "cha", "mia", "orl", "was"]
fortyPlusPlayers = []
allPlayers = []

print("Finding all players.")
for team in teams:
	for player in getTeam(team):
		name = player["name"]
		allPlayers.append(name)
		if (int(player["minutes_per_game"].replace(":", "")) >= 2400):
			fortyPlusPlayers.append(name)

csv = open("players.csv", 'w')
for player in fortyPlusPlayers:
	csv.write(player + ",<img src=\"" + getImageName(player) + "\">\n")
csv.close()

print("Found {} players; using {} who have played 40 or more games. Downloading all images into 'image' directory."
	.format(len(allPlayers), len(fortyPlusPlayers)))

goodCount = 0;
for player in fortyPlusPlayers:
	nameArr = player.lower().replace("'", "").replace(".", "").split(" ", 1)
	image = open("image/" + getImageName(player), 'wb')
	got = requests.get('https://nba-players.herokuapp.com/players/' + nameArr[1].replace(" ", "_") + '/' + nameArr[0])
	if (got.status_code != 200):
		raise Exception("Couldn't get image for player {}.".format(player))
	image.write(got.content)
	image.close()
	goodCount += 1
	if (goodCount % 10 == 0):
		print("Successfully downloaded {} of {} images.".format(goodCount, len(fortyPlusPlayers)))

print("Done.")

what year are these players from?
do you have images for the older years too?

@jiwoongim
The script uses this API hosted on heroku: https://nba-players.herokuapp.com/
Looks like images are from 2017 - 2018