I'm trying to download some game stats to do some analysis, only problem is each season the data their isn't 100% consistent. I grab the json file from the site, then wish to save it to a csv with the first line in the csv containing the heading for that column, so the heading would be essentially the key from the python data type. #!/usr/bin/env python import requests import json import csv base_url = 'http://www.afl.com.au/api/cfs/afl/' token_url = base_url + 'WMCTok' player_url = base_url + 'matchItems/round' def printPretty(data): print(json.dumps(data, sort_keys=True, indent=2, separators=(',', ': '))) session = requests.Session() # session makes it simple to use the token across the requests token = session.post(token_url).json()['token'] # get the token session.headers.update({'X-media-mis-token': token}) # set the token Season = 2014 Roundno = 4 if Roundno<10: strRoundno = '0'+str(Roundno) else: strRoundno = str(Roundno) # get some data (could easily be a for loop, might want to put in a delay using Sleep so that you don't get IP blocked) data = session.get(player_url + '/CD_R'+str(Season)+'014'+strRoundno) # print everything printPretty(data.json()) with open('stats_game_test.csv', 'w', newline='') as csvfile: spamwriter = csv.writer(csvfile, delimiter="'",quotechar='|', quoting=csv.QUOTE_ALL) for profile in data.json()['items']: spamwriter.writerow(['%s' %(profile)]) #for key in data.json().keys(): # print("key: %s , value: %s" % (key, data.json()[key])) The above code grabs the json and writes it to a csv, but it puts the key in each individual cell next to the value (eg 'venueId': 'CD_V190'), the key needs to be just across the first row as a heading. It gives me a csv file with data in the cells like this Column A B 'tempInCelsius': 17.0 'totalScore': 32 'tempInCelsius': 16.0 'totalScore': 28 What I want is the data like this tempInCelsius totalScore 17 32 16 28 As I mentioned up the top, the data isn't always consistent so if I define what fields to grab with spamwriter.writerow([profile['tempInCelsius'], profile['totalScore']]) then it will error out on certain data grabs. This is why I'm now trying the above method so it just grabs everything regardless of what data is there.