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Final Code for Twitch Dashboard
def twitch():
threading.Timer(60.0, twitch).start()
# Top Games
headers = {
'Authorization' : 'Bearer '+str(access_token),
}
games_response = requests.get('https://api.twitch.tv/helix/games/top?first=100', headers=headers)
games_response_json = json.loads(games_response.text)
topgames_data = games_response_json['data']
topgames_df = pd.DataFrame.from_dict(json_normalize(topgames_data), orient='columns')
# Top Streamers
headers = {
'Authorization' : 'Bearer '+str(access_token),
}
topstreamsforgame_response = requests.get('https://api.twitch.tv/helix/streams?game_id='+str(topgames_df['id'][0])+'&first=25', headers=headers)
topstreamsforgame_response_json = json.loads(topstreamsforgame_response.text)
topstreamsforgame_data = topstreamsforgame_response_json['data']
topstreamsforgame_df = pd.DataFrame.from_dict(json_normalize(topstreamsforgame_data), orient='columns')
for i in range(1,19) :
headers = {
'Authorization' : 'Bearer '+str(access_token),
}
topstreamsforgame_response = requests.get('https://api.twitch.tv/helix/streams?game_id='+str(topgames_df['id'][i])+'&first=25', headers=headers)
topstreamsforgame_response_json = json.loads(topstreamsforgame_response.text)
topstreamsforgame_data = topstreamsforgame_response_json['data']
topstreamsforgame_df_temp = pd.DataFrame.from_dict(json_normalize(topstreamsforgame_data), orient='columns')
frames = [topstreamsforgame_df, topstreamsforgame_df_temp]
topstreamsforgame_df = pd.concat(frames, ignore_index=True)
# Now that the FOR loop is exited and we have all our data, we export it into a csv
export_topgames_csv = topgames_df.to_csv (r'<filepath>.csv', index = None, header=True) #Don't forget to add '.csv' at the end of the path
export_topstreamsforgame_csv = topstreamsforgame_df.to_csv (r'<filepath>.csv', index = None, header=True)
# Our function is defined and it overwrites the CSV every 60 seconds. Now, we call it.
twitch()
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