I have a '.txt' file that contains JSON data like below.
[{'tradable': True, 'mode': 'full', 'instrument_token': 4708097, 'last_price': 178.65, 'last_traded_quantity': 5, 'average_traded_price': 180.1, 'volume_traded': 4581928, 'total_buy_quantity': 1282853, 'total_sell_quantity': 1673842, 'ohlc': {'open': 181.95, 'high': 181.95, 'low': 177.8, 'close': 181.0}, 'change': -1.2983425414364609, 'last_trade_time': datetime.datetime(2023, 1, 12, 13, 4, 58), 'oi': 0, 'oi_day_high': 0, 'oi_day_low': 0, 'exchange_timestamp': datetime.datetime(2023, 1, 12, 13, 5, 1), 'depth': {'buy': [{'quantity': 653, 'price': 178.6, 'orders': 8}, {'quantity': 2408, 'price': 178.55, 'orders': 15}, {'quantity': 6329, 'price': 178.5, 'orders': 22}, {'quantity': 9161, 'price': 178.45, 'orders': 24}, {'quantity': 7775, 'price': 178.4, 'orders': 17}], 'sell': [{'quantity': 5726, 'price': 178.7, 'orders': 8}, {'quantity': 4099, 'price': 178.75, 'orders': 11}, {'quantity': 23951, 'price': 178.8, 'orders': 25}, {'quantity': 7446, 'price': 178.85, 'orders': 21}, {'quantity': 11379, 'price': 178.9, 'orders': 21}]}}, {'tradable': True, 'mode': 'full', 'instrument_token': 871681, 'last_price': 972.55, 'last_traded_quantity': 1, 'average_traded_price': 973.85, 'volume_traded': 411290, 'total_buy_quantity': 152925, 'total_sell_quantity': 214765, 'ohlc': {'open': 971.75, 'high': 978.6, 'low': 969.0, 'close': 967.75}, 'change': 0.4959958667011061, 'last_trade_time': datetime.datetime(2023, 1, 12, 13, 4, 53), 'oi': 0, 'oi_day_high': 0, 'oi_day_low': 0, 'exchange_timestamp': datetime.datetime(2023, 1, 12, 13, 5, 4), 'depth': {'buy': [{'quantity': 6, 'price': 972.15, 'orders': 2}, {'quantity': 3, 'price': 972.1, 'orders': 2}, {'quantity': 15, 'price': 972.05, 'orders': 3}, {'quantity': 455, 'price': 972.0, 'orders': 16}, {'quantity': 14, 'price': 971.95, 'orders': 2}], 'sell': [{'quantity': 6, 'price': 972.5, 'orders': 3}, {'quantity': 49, 'price': 972.55, 'orders': 2}, {'quantity': 10, 'price': 972.6, 'orders': 1}, {'quantity': 27, 'price': 972.65, 'orders': 2}, {'quantity': 10, 'price': 972.7, 'orders': 1}]}}]
This data was written to a .txt file after it was recieved from zerodha websocket. Now, I want to read the data from the .txt file using my python script and want to load it as a json. But the json.loads() method in python throws the below error.
json.decoder.JSONDecodeError: Expecting property name enclosed in double quotes: line 1 column 3 (char 2)
I have tried eval and ast.literal_eval methods in python as well but it didn't solve my problem. All I want is to be able to read the above data as a JSON to my python script. Any leads would be of great help.
Let me start off with THIS IS A BAD IDEA.
The comments on the question call out that this is not a JSON object in a file, rather the result of some other Python process printing the result and putting that in a file. The correct solution would be to modify the producer to use json.dumps() instead.
That aside, here's a DANGEROUS way to read that source file into a Python object.
import datetime # needed for `eval()`
with open('textfile.txt', 'r') as f:
data = eval(f.read())
from pprint import pprint
pprint(data)
This will produce the following output from that input:
[{'average_traded_price': 180.1,
'change': -1.2983425414364609,
'depth': {'buy': [{'orders': 8, 'price': 178.6, 'quantity': 653},
{'orders': 15, 'price': 178.55, 'quantity': 2408},
{'orders': 22, 'price': 178.5, 'quantity': 6329},
{'orders': 24, 'price': 178.45, 'quantity': 9161},
{'orders': 17, 'price': 178.4, 'quantity': 7775}],
'sell': [{'orders': 8, 'price': 178.7, 'quantity': 5726},
{'orders': 11, 'price': 178.75, 'quantity': 4099},
{'orders': 25, 'price': 178.8, 'quantity': 23951},
{'orders': 21, 'price': 178.85, 'quantity': 7446},
{'orders': 21, 'price': 178.9, 'quantity': 11379}]},
'exchange_timestamp': datetime.datetime(2023, 1, 12, 13, 5, 1),
'instrument_token': 4708097,
'last_price': 178.65,
'last_trade_time': datetime.datetime(2023, 1, 12, 13, 4, 58),
'last_traded_quantity': 5,
'mode': 'full',
'ohlc': {'close': 181.0, 'high': 181.95, 'low': 177.8, 'open': 181.95},
'oi': 0,
'oi_day_high': 0,
'oi_day_low': 0,
'total_buy_quantity': 1282853,
'total_sell_quantity': 1673842,
'tradable': True,
'volume_traded': 4581928},
{'average_traded_price': 973.85,
'change': 0.4959958667011061,
'depth': {'buy': [{'orders': 2, 'price': 972.15, 'quantity': 6},
{'orders': 2, 'price': 972.1, 'quantity': 3},
{'orders': 3, 'price': 972.05, 'quantity': 15},
{'orders': 16, 'price': 972.0, 'quantity': 455},
{'orders': 2, 'price': 971.95, 'quantity': 14}],
'sell': [{'orders': 3, 'price': 972.5, 'quantity': 6},
{'orders': 2, 'price': 972.55, 'quantity': 49},
{'orders': 1, 'price': 972.6, 'quantity': 10},
{'orders': 2, 'price': 972.65, 'quantity': 27},
{'orders': 1, 'price': 972.7, 'quantity': 10}]},
'exchange_timestamp': datetime.datetime(2023, 1, 12, 13, 5, 4),
'instrument_token': 871681,
'last_price': 972.55,
'last_trade_time': datetime.datetime(2023, 1, 12, 13, 4, 53),
'last_traded_quantity': 1,
'mode': 'full',
'ohlc': {'close': 967.75, 'high': 978.6, 'low': 969.0, 'open': 971.75},
'oi': 0,
'oi_day_high': 0,
'oi_day_low': 0,
'total_buy_quantity': 152925,
'total_sell_quantity': 214765,
'tradable': True,
'volume_traded': 411290}]
Again, I will restate, THIS IS A BAD IDEA.
Read more on the specifics of eval here: https://realpython.com/python-eval-function/
Your JSON is not valid. You can check that by using an online JSON validator like this one: https://jsonformatter.org/
After entering the “JSON”, you can see it is not in a valid format.
You could either export it right, which I would highly recommend, or you could replace the wrong chars.
Currently, you have three issues:
You are using single quotes instead of double quotes
You are not parsing your datetime object, it looks like you just insert the object, you have to serialize it
You are writing true values as True, but that is the python way and not the JSON way. You either have to write it as true, or you have to pass it as a string. I would recommend the first one.
It could look like this (but I didnt parse datetime right, I just stringified it):
[{"tradable": true, "mode": "full", "instrument_token": 4708097, "last_price": 178.65, "last_traded_quantity": 5, "average_traded_price": 180.1, "volume_traded": 4581928, "total_buy_quantity": 1282853, "total_sell_quantity": 1673842, "ohlc": {"open": 181.95, "high": 181.95, "low": 177.8, "close": 181.0}, "change": -1.2983425414364609, "last_trade_time": "datetime.datetime(2023, 1, 12, 13, 4, 58)", "oi": 0, "oi_day_high": 0, "oi_day_low": 0, "exchange_timestamp": "datetime.datetime(2023, 1, 12, 13, 5, 1)", "depth": {"buy": [{"quantity": 653, "price": 178.6, "orders": 8}, {"quantity": 2408, "price": 178.55, "orders": 15}, {"quantity": 6329, "price": 178.5, "orders": 22}, {"quantity": 9161, "price": 178.45, "orders": 24}, {"quantity": 7775, "price": 178.4, "orders": 17}], "sell": [{"quantity": 5726, "price": 178.7, "orders": 8}, {"quantity": 4099, "price": 178.75, "orders": 11}, {"quantity": 23951, "price": 178.8, "orders": 25}, {"quantity": 7446, "price": 178.85, "orders": 21}, {"quantity": 11379, "price": 178.9, "orders": 21}]}}, {"tradable": true, "mode": "full", "instrument_token": 871681, "last_price": 972.55, "last_traded_quantity": 1, "average_traded_price": 973.85, "volume_traded": 411290, "total_buy_quantity": 152925, "total_sell_quantity": 214765, "ohlc": {"open": 971.75, "high": 978.6, "low": 969.0, "close": 967.75}, "change": 0.4959958667011061, "last_trade_time": "datetime.datetime(2023, 1, 12, 13, 4, 53)", "oi": 0, "oi_day_high": 0, "oi_day_low": 0, "exchange_timestamp": "datetime.datetime(2023, 1, 12, 13, 5, 4)", "depth": {"buy": [{"quantity": 6, "price": 972.15, "orders": 2}, {"quantity": 3, "price": 972.1, "orders": 2}, {"quantity": 15, "price": 972.05, "orders": 3}, {"quantity": 455, "price": 972.0, "orders": 16}, {"quantity": 14, "price": 971.95, "orders": 2}], "sell": [{"quantity": 6, "price": 972.5, "orders": 3}, {"quantity": 49, "price": 972.55, "orders": 2}, {"quantity": 10, "price": 972.6, "orders": 1}, {"quantity": 27, "price": 972.65, "orders": 2}, {"quantity": 10, "price": 972.7, "orders": 1}]}}]
I’m trying to use Python print specific values from a JSON file that I pulled from an API. From what I understand, I am pulling it as a JSON file that has a list of dictionaries of players, with a nested dictionary for each player containing their data (i.e. name, team, etc.).
I’m running into issues printing the values within the JSON file, as each character is printing on a separate line.
The end result I am trying to get to is a Pandas DataFrame containing all the values from the JSON file, but I can’t even seem to iterate through the JSON file correctly.
Here is my code:
url = "https://api-football-v1.p.rapidapi.com/v3/players"
querystring = {"league":"39","season":"2020", "page":"2"}
headers = {
"X-RapidAPI-Host": "api-football-v1.p.rapidapi.com",
"X-RapidAPI-Key": "xxxxxkeyxxxxx"
}
response = requests.request("GET", url, headers=headers, params=querystring).json()
response_dump = json.dumps(response)
for item in response_dump:
for player_item in item:
print(player_item)
This is the output when I print the JSON response (first two items):
{'get': 'players', 'parameters': {'league': '39', 'page': '2', 'season': '2020'}, 'errors': [], 'results': 20, 'paging': {'current': 2, 'total': 37}, 'response': [{'player': {'id': 301, 'name': 'Benjamin Luke Woodburn', 'firstname': 'Benjamin Luke', 'lastname': 'Woodburn', 'age': 23, 'birth': {'date': '1999-10-15', 'place': 'Nottingham', 'country': 'England'}, 'nationality': 'Wales', 'height': '174 cm', 'weight': '72 kg', 'injured': False, 'photo': 'https://media.api-sports.io/football/players/301.png'}, 'statistics': [{'team': {'id': 40, 'name': 'Liverpool', 'logo': 'https://media.api-sports.io/football/teams/40.png'}, 'league': {'id': 39, 'name': 'Premier League', 'country': 'England', 'logo': 'https://media.api-sports.io/football/leagues/39.png', 'flag': 'https://media.api-sports.io/flags/gb.svg', 'season': 2020}, 'games': {'appearences': 0, 'lineups': 0, 'minutes': 0, 'number': None, 'position': 'Attacker', 'rating': None, 'captain': False}, 'substitutes': {'in': 0, 'out': 0, 'bench': 3}, 'shots': {'total': None, 'on': None}, 'goals': {'total': 0, 'conceded': 0, 'assists': None, 'saves': None}, 'passes': {'total': None, 'key': None, 'accuracy': None}, 'tackles': {'total': None, 'blocks': None, 'interceptions': None}, 'duels': {'total': None, 'won': None}, 'dribbles': {'attempts': None, 'success': None, 'past': None}, 'fouls': {'drawn': None, 'committed': None}, 'cards': {'yellow': 0, 'yellowred': 0, 'red': 0}, 'penalty': {'won': None, 'commited': None, 'scored': 0, 'missed': 0, 'saved': None}}]}, {'player': {'id': 518, 'name': 'Meritan Shabani', 'firstname': 'Meritan', 'lastname': 'Shabani', 'age': 23, 'birth': {'date': '1999-03-15', 'place': 'München', 'country': 'Germany'}, 'nationality': 'Germany', 'height': '185 cm', 'weight': '78 kg', 'injured': False, 'photo': 'https://media.api-sports.io/football/players/518.png'}, 'statistics': [{'team': {'id': 39, 'name': 'Wolves', 'logo': 'https://media.api-sports.io/football/teams/39.png'}, 'league': {'id': 39, 'name': 'Premier League', 'country': 'England', 'logo': 'https://media.api-sports.io/football/leagues/39.png', 'flag': 'https://media.api-sports.io/flags/gb.svg', 'season': 2020}, 'games': {'appearences': 0, 'lineups': 0, 'minutes': 0, 'number': None, 'position': 'Midfielder', 'rating': None, 'captain': False}, 'substitutes': {'in': 0, 'out': 0, 'bench': 3}, 'shots': {'total': None, 'on': None}, 'goals': {'total': 0, 'conceded': 0, 'assists': None, 'saves': None}, 'passes': {'total': None, 'key': None, 'accuracy': None}, 'tackles': {'total': None, 'blocks': None, 'interceptions': None}, 'duels': {'total': None, 'won': None}, 'dribbles': {'attempts': None, 'success': None, 'past': None}, 'fouls': {'drawn': None, 'committed': None}, 'cards': {'yellow': 0, 'yellowred': 0, 'red': 0}, 'penalty': {'won': None, 'commited': None, 'scored': 0, 'missed': 0, 'saved': None}}]},
This is the data type of each layer of the JSON file, from when I iterated through it with a For loop:
print(type(response)) <class 'dict'>
print(type(response_dump)) <class 'str'>
print(type(item)) <class 'str'>
print(type(player_item)) <class 'str'>
You do not have to json.dumps() in my opinion, just use the JSON from response to iterate:
for player in response['response']:
print(player)
{'player': {'id': 301, 'name': 'Benjamin Luke Woodburn', 'firstname': 'Benjamin Luke', 'lastname': 'Woodburn', 'age': 23, 'birth': {'date': '1999-10-15', 'place': 'Nottingham', 'country': 'England'}, 'nationality': 'Wales', 'height': '174 cm', 'weight': '72 kg', 'injured': False, 'photo': 'https://media.api-sports.io/football/players/301.png'}, 'statistics': [{'team': {'id': 40, 'name': 'Liverpool', 'logo': 'https://media.api-sports.io/football/teams/40.png'}, 'league': {'id': 39, 'name': 'Premier League', 'country': 'England', 'logo': 'https://media.api-sports.io/football/leagues/39.png', 'flag': 'https://media.api-sports.io/flags/gb.svg', 'season': 2020}, 'games': {'appearences': 0, 'lineups': 0, 'minutes': 0, 'number': None, 'position': 'Attacker', 'rating': None, 'captain': False}, 'substitutes': {'in': 0, 'out': 0, 'bench': 3}, 'shots': {'total': None, 'on': None}, 'goals': {'total': 0, 'conceded': 0, 'assists': None, 'saves': None}, 'passes': {'total': None, 'key': None, 'accuracy': None}, 'tackles': {'total': None, 'blocks': None, 'interceptions': None}, 'duels': {'total': None, 'won': None}, 'dribbles': {'attempts': None, 'success': None, 'past': None}, 'fouls': {'drawn': None, 'committed': None}, 'cards': {'yellow': 0, 'yellowred': 0, 'red': 0}, 'penalty': {'won': None, 'commited': None, 'scored': 0, 'missed': 0, 'saved': None}}]}
{'player': {'id': 518, 'name': 'Meritan Shabani', 'firstname': 'Meritan', 'lastname': 'Shabani', 'age': 23, 'birth': {'date': '1999-03-15', 'place': 'München', 'country': 'Germany'}, 'nationality': 'Germany', 'height': '185 cm', 'weight': '78 kg', 'injured': False, 'photo': 'https://media.api-sports.io/football/players/518.png'}, 'statistics': [{'team': {'id': 39, 'name': 'Wolves', 'logo': 'https://media.api-sports.io/football/teams/39.png'}, 'league': {'id': 39, 'name': 'Premier League', 'country': 'England', 'logo': 'https://media.api-sports.io/football/leagues/39.png', 'flag': 'https://media.api-sports.io/flags/gb.svg', 'season': 2020}, 'games': {'appearences': 0, 'lineups': 0, 'minutes': 0, 'number': None, 'position': 'Midfielder', 'rating': None, 'captain': False}, 'substitutes': {'in': 0, 'out': 0, 'bench': 3}, 'shots': {'total': None, 'on': None}, 'goals': {'total': 0, 'conceded': 0, 'assists': None, 'saves': None}, 'passes': {'total': None, 'key': None, 'accuracy': None}, 'tackles': {'total': None, 'blocks': None, 'interceptions': None}, 'duels': {'total': None, 'won': None}, 'dribbles': {'attempts': None, 'success': None, 'past': None}, 'fouls': {'drawn': None, 'committed': None}, 'cards': {'yellow': 0, 'yellowred': 0, 'red': 0}, 'penalty': {'won': None, 'commited': None, 'scored': 0, 'missed': 0, 'saved': None}}]}
or
for player in response['response']:
print(player['player'])
{'id': 301, 'name': 'Benjamin Luke Woodburn', 'firstname': 'Benjamin Luke', 'lastname': 'Woodburn', 'age': 23, 'birth': {'date': '1999-10-15', 'place': 'Nottingham', 'country': 'England'}, 'nationality': 'Wales', 'height': '174 cm', 'weight': '72 kg', 'injured': False, 'photo': 'https://media.api-sports.io/football/players/301.png'}
{'id': 518, 'name': 'Meritan Shabani', 'firstname': 'Meritan', 'lastname': 'Shabani', 'age': 23, 'birth': {'date': '1999-03-15', 'place': 'München', 'country': 'Germany'}, 'nationality': 'Germany', 'height': '185 cm', 'weight': '78 kg', 'injured': False, 'photo': 'https://media.api-sports.io/football/players/518.png'}
To get a DataFrame simply call pd.json_normalize() - Cause your question is not that clear I am not sure wiche information is needed and how to displayed. This is predestinated to ask a new question with exact that focus.:
pd.json_normalize(response['response'])
EDIT
Based on your comment and improvment:
pd.concat([pd.json_normalize(response,['response'])\
,pd.json_normalize(response,['response','statistics'])], axis=1)\
.drop(['statistics'], axis=1)
player.id
player.name
player.firstname
player.lastname
player.age
player.birth.date
player.birth.place
player.birth.country
player.nationality
player.height
player.weight
player.injured
player.photo
team.id
team.name
team.logo
league.id
league.name
league.country
league.logo
league.flag
league.season
games.appearences
games.lineups
games.minutes
games.number
games.position
games.rating
games.captain
substitutes.in
substitutes.out
substitutes.bench
shots.total
shots.on
goals.total
goals.conceded
goals.assists
goals.saves
passes.total
passes.key
passes.accuracy
tackles.total
tackles.blocks
tackles.interceptions
duels.total
duels.won
dribbles.attempts
dribbles.success
dribbles.past
fouls.drawn
fouls.committed
cards.yellow
cards.yellowred
cards.red
penalty.won
penalty.commited
penalty.scored
penalty.missed
penalty.saved
0
301
Benjamin Luke Woodburn
Benjamin Luke
Woodburn
23
1999-10-15
Nottingham
England
Wales
174 cm
72 kg
False
https://media.api-sports.io/football/players/301.png
40
Liverpool
https://media.api-sports.io/football/teams/40.png
39
Premier League
England
https://media.api-sports.io/football/leagues/39.png
https://media.api-sports.io/flags/gb.svg
2020
0
0
0
Attacker
False
0
0
3
0
0
0
0
0
0
0
1
518
Meritan Shabani
Meritan
Shabani
23
1999-03-15
München
Germany
Germany
185 cm
78 kg
False
https://media.api-sports.io/football/players/518.png
39
Wolves
https://media.api-sports.io/football/teams/39.png
39
Premier League
England
https://media.api-sports.io/football/leagues/39.png
https://media.api-sports.io/flags/gb.svg
2020
0
0
0
Midfielder
False
0
0
3
0
0
0
0
0
0
0
I wrote a Python script. It has an untrusted variable with this in it:
[{'id': 42042052, 'name': 'Lyft', 'package': 'com.abtutorial10.canadalyft5', 'uname': 'com-abtutorial10-canadalyft5', 'size': 2342327, 'icon': 'http://pool.img.xxxxxxx.com/appsdally/85767fc7ff03601ce1325fdedd9cf0dd_icon.png', 'graphic': 'http://pool.img.xxxxxxx.com/appsdally/f0687693ea3eb5116894509683fa3f9d_fgraphic_705x345.jpg', 'added': '2018-11-23 15:23:47', 'modified': '2018-11-23 15:23:47', 'updated': '2018-11-23 15:23:47', 'uptype': 'regular', 'store': {'id': 2327139, 'name': 'appsdally', 'avatar': 'http://pool.img.xxxxxxx.com/appsdally/3bf5adf05843f9f28c486d5ddef8f873_ravatar.jpg', 'appearance': {'theme': 'default', 'description': ''}, 'stats': {'apps': 66, 'subscribers': 4, 'downloads': 4472}}, 'file': {'vername': '2.1', 'vercode': 2, 'md5sum': '06ae32afa8d57b9a3fc19f24e658898f', 'filesize': 2342327, 'path': 'http://pool.apk.xxxxxxx.com/appsdally/com-abtutorial10-canadalyft5-2-42042052-06ae32afa8d57b9a3fc19f24e658898f.apk', 'path_alt': 'http://pool.apk.xxxxxxx.com/appsdally/alt/Y29tLWFidHV0b3JpYWwxMC1jYW5hZGFseWZ0NS0yLTQyMDQyMDUyLTA2YWUzMmFmYThkNTdiOWEzZmMxOWYyNGU2NTg4OThm.apk', 'malware': {'rank': 'UNKNOWN'}}, 'stats': {'downloads': 7, 'pdownloads': 15, 'rating': {'avg': 0, 'total': 0}, 'prating': {'avg': 0, 'total': 0}}, 'has_versions': False, 'obb': None, 'appcoins': {'advertising': False, 'billing': False}}, {'id': 42033673, 'name': 'Lyft', 'package': 'com.abtutorial10.canadalyft4', 'uname': 'com-abtutorial10-canadalyft4', 'size': 2342311, 'icon': 'http://pool.img.xxxxxxx.com/apps0007/85767fc7ff03601ce1325fdedd9cf0dd_icon.png', 'graphic': 'http://pool.img.xxxxxxx.com/apps0007/f0687693ea3eb5116894509683fa3f9d_fgraphic_705x345.jpg', 'added': '2018-11-23 05:42:04', 'modified': '2018-11-23 05:42:05', 'updated': '2018-11-23 05:42:05', 'uptype': 'regular', 'store': {'id': 2273010, 'name': 'apps0007', 'avatar': 'http://pool.img.xxxxxxx.com/apps0007/3bf5adf05843f9f28c486d5ddef8f873_ravatar.jpg', 'appearance': {'theme': 'pink', 'description': ''}, 'stats': {'apps': 218, 'subscribers': 65, 'downloads': 71922}}, 'file': {'vername': '2.1', 'vercode': 2, 'md5sum': '5a26e3c55946ba221b0dd041fee927f8', 'filesize': 2342311, 'path': 'http://pool.apk.xxxxxxx.com/apps0007/com-abtutorial10-canadalyft4-2-42033673-5a26e3c55946ba221b0dd041fee927f8.apk', 'path_alt': 'http://pool.apk.xxxxxxx.com/apps0007/alt/Y29tLWFidHV0b3JpYWwxMC1jYW5hZGFseWZ0NC0yLTQyMDMzNjczLTVhMjZlM2M1NTk0NmJhMjIxYjBkZDA0MWZlZTkyN2Y4.apk', 'malware': {'rank': 'UNKNOWN'}}, 'stats': {'downloads': 46, 'pdownloads': 46, 'rating': {'avg': 5, 'total': 1}, 'prating': {'avg': 5, 'total': 1}}, 'has_versions': False, 'obb': None, 'appcoins': {'advertising': False, 'billing': False}}, {'id': 41878039, 'name': 'Lyft', 'package': 'com.abtutorial10.canadalyft', 'uname': 'com-abtutorial10-canadalyft', 'size': 2342303, 'icon': 'http://pool.img.xxxxxxx.com/appsstoremarket/85767fc7ff03601ce1325fdedd9cf0dd_icon.png', 'graphic': 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'updated': '2018-06-20 16:23:24', 'uptype': 'aptuploader', 'store': {'id': 2025398, 'name': 'legacyapps13', 'avatar': 'http://pool.img.xxxxxxx.com/legacyapps13/3bf5adf05843f9f28c486d5ddef8f873_ravatar.jpg', 'appearance': {'theme': 'default', 'description': ''}, 'stats': {'apps': 84, 'subscribers': 44, 'downloads': 19482}}, 'file': {'vername': '1.0', 'vercode': 1, 'md5sum': 'b6df2843e8025eac0b10853f1af3fcb6', 'filesize': 4217943, 'path': 'http://pool.apk.xxxxxxx.com/legacyapps13/com-shineappzz-newlyftcoupons-1-38283734-b6df2843e8025eac0b10853f1af3fcb6.apk', 'path_alt': 'http://pool.apk.xxxxxxx.com/legacyapps13/alt/Y29tLXNoaW5lYXBwenotbmV3bHlmdGNvdXBvbnMtMS0zODI4MzczNC1iNmRmMjg0M2U4MDI1ZWFjMGIxMDg1M2YxYWYzZmNiNg.apk', 'malware': {'rank': 'UNKNOWN'}}, 'stats': {'downloads': 3, 'pdownloads': 3, 'rating': {'avg': 5, 'total': 1}, 'prating': {'avg': 5, 'total': 1}}, 'has_versions': False, 'obb': None, 'appcoins': {'advertising': False, 'billing': False}}, {'id': 39440422, 'name': 'Taxi Coupons for Lyft - Canada & USA', 'package': 'com.pulsarappz.couponsforlyft_usandcanada', 'uname': 'coupons-for-lyft-us-and-canada', 'size': 6186897, 'icon': 'http://pool.img.xxxxxxx.com/lm2442/f561c396db660e6989ea894953166976_icon.png', 'graphic': None, 'added': '2018-08-09 05:59:09', 'modified': '2018-08-09 05:59:10', 'updated': '2018-08-09 05:59:10', 'uptype': 'aptuploader', 'store': {'id': 2173406, 'name': 'lm2442', 'avatar': 'http://pool.img.xxxxxxx.com/lm2442/3bf5adf05843f9f28c486d5ddef8f873_ravatar.jpg', 'appearance': {'theme': 'black', 'description': 'Browns'}, 'stats': {'apps': 43, 'subscribers': 1, 'downloads': 68}}, 'file': {'vername': '5.0', 'vercode': 5, 'md5sum': 'afc9cb352de940d11b5e0a1437261d4c', 'filesize': 6186897, 'path': 'http://pool.apk.xxxxxxx.com/lm2442/com-pulsarappz-couponsforlyft-usandcanada-5-39440422-afc9cb352de940d11b5e0a1437261d4c.apk', 'path_alt': 'http://pool.apk.xxxxxxx.com/lm2442/alt/Y29tLXB1bHNhcmFwcHotY291cG9uc2Zvcmx5ZnQtdXNhbmRjYW5hZGEtNS0zOTQ0MDQyMi1hZmM5Y2IzNTJkZTk0MGQxMWI1ZTBhMTQzNzI2MWQ0Yw.apk', 'malware': {'rank': 'UNKNOWN'}}, 'stats': {'downloads': 2, 'pdownloads': 2, 'rating': {'avg': 0, 'total': 0}, 'prating': {'avg': 0, 'total': 0}}, 'has_versions': False, 'obb': None, 'appcoins': {'advertising': False, 'billing': False}}]
How do I take untrusted and export it to my CSV file, new_csv, in the proper CSV format?
If you're just looking to convert that to dataframe, you can use json_normalize. Then take that dataframe and save as csv.
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'pink', 'description': ''}, 'stats': {'apps': 218, 'subscribers': 65, 'downloads': 71922}}, 'file': {'vername': '2.1', 'vercode': 2, 'md5sum': '5a26e3c55946ba221b0dd041fee927f8', 'filesize': 2342311, 'path': 'http://pool.apk.xxxxxxx.com/apps0007/com-abtutorial10-canadalyft4-2-42033673-5a26e3c55946ba221b0dd041fee927f8.apk', 'path_alt': 'http://pool.apk.xxxxxxx.com/apps0007/alt/Y29tLWFidHV0b3JpYWwxMC1jYW5hZGFseWZ0NC0yLTQyMDMzNjczLTVhMjZlM2M1NTk0NmJhMjIxYjBkZDA0MWZlZTkyN2Y4.apk', 'malware': {'rank': 'UNKNOWN'}}, 'stats': {'downloads': 46, 'pdownloads': 46, 'rating': {'avg': 5, 'total': 1}, 'prating': {'avg': 5, 'total': 1}}, 'has_versions': False, 'obb': None, 'appcoins': {'advertising': False, 'billing': False}}, {'id': 41878039, 'name': 'Lyft', 'package': 'com.abtutorial10.canadalyft', 'uname': 'com-abtutorial10-canadalyft', 'size': 2342303, 'icon': 'http://pool.img.xxxxxxx.com/appsstoremarket/85767fc7ff03601ce1325fdedd9cf0dd_icon.png', 'graphic': 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'total': 1}, 'prating': {'avg': 5, 'total': 1}}, 'has_versions': False, 'obb': None, 'appcoins': {'advertising': False, 'billing': False}}, {'id': 41989617, 'name': 'Lyft', 'package': 'com.abtutorial10.canadalyft2', 'uname': 'com-abtutorial10-canadalyft2', 'size': 2342287, 'icon': 'http://pool.img.xxxxxxx.com/apps018/85767fc7ff03601ce1325fdedd9cf0dd_icon.png', 'graphic': 'http://pool.img.xxxxxxx.com/apps018/f0687693ea3eb5116894509683fa3f9d_fgraphic_705x345.jpg', 'added': '2018-11-21 08:04:06', 'modified': '2018-11-21 08:04:07', 'updated': '2018-11-21 08:04:07', 'uptype': 'regular', 'store': {'id': 2273237, 'name': 'apps018', 'avatar': 'http://pool.img.xxxxxxx.com/apps018/3bf5adf05843f9f28c486d5ddef8f873_ravatar.jpg', 'appearance': {'theme': 'default', 'description': ''}, 'stats': {'apps': 176, 'subscribers': 38, 'downloads': 23996}}, 'file': {'vername': '2.1', 'vercode': 2, 'md5sum': '0b4c234a748a6c42bb6c86f56787cf10', 'filesize': 2342287, 'path': 'http://pool.apk.xxxxxxx.com/apps018/com-abtutorial10-canadalyft2-2-41989617-0b4c234a748a6c42bb6c86f56787cf10.apk', 'path_alt': 'http://pool.apk.xxxxxxx.com/apps018/alt/Y29tLWFidHV0b3JpYWwxMC1jYW5hZGFseWZ0Mi0yLTQxOTg5NjE3LTBiNGMyMzRhNzQ4YTZjNDJiYjZjODZmNTY3ODdjZjEw.apk', 'malware': {'rank': 'UNKNOWN'}}, 'stats': {'downloads': 8, 'pdownloads': 8, 'rating': {'avg': 0, 'total': 0}, 'prating': {'avg': 0, 'total': 0}}, 'has_versions': False, 'obb': None, 'appcoins': {'advertising': False, 'billing': False}}, {'id': 41879202, 'name': 'Lyft', 'package': 'com.abtutorial10.canadalyft8', 'uname': 'com-abtutorial10-canadalyft8', 'size': 2342339, 'icon': 'http://pool.img.xxxxxxx.com/originalyes/85767fc7ff03601ce1325fdedd9cf0dd_icon.png', 'graphic': 'http://pool.img.xxxxxxx.com/originalyes/c83abedbcad184c9f8ce6856dd63274e_fgraphic_705x345.jpg', 'added': '2018-11-16 08:37:55', 'modified': '2018-11-16 08:37:56', 'updated': '2018-11-16 08:37:56', 'uptype': 'regular', 'store': {'id': 2268473, 'name': 'originalyes', 'avatar': 'http://pool.img.xxxxxxx.com/originalyes/da3bd21b288e5f980cc44ff6953fd9e5_ravatar.png', 'appearance': {'theme': 'pink', 'description': ''}, 'stats': {'apps': 151, 'subscribers': 33, 'downloads': 25408}}, 'file': {'vername': '2.1', 'vercode': 2, 'md5sum': 'd8c749ad0e7523c7887b029d52bc0411', 'filesize': 2342339, 'path': 'http://pool.apk.xxxxxxx.com/originalyes/com-abtutorial10-canadalyft8-2-41879202-d8c749ad0e7523c7887b029d52bc0411.apk', 'path_alt': 'http://pool.apk.xxxxxxx.com/originalyes/alt/Y29tLWFidHV0b3JpYWwxMC1jYW5hZGFseWZ0OC0yLTQxODc5MjAyLWQ4Yzc0OWFkMGU3NTIzYzc4ODdiMDI5ZDUyYmMwNDEx.apk', 'malware': {'rank': 'UNKNOWN'}}, 'stats': {'downloads': 7, 'pdownloads': 7, 'rating': {'avg': 0, 'total': 0}, 'prating': {'avg': 0, 'total': 0}}, 'has_versions': False, 'obb': None, 'appcoins': {'advertising': False, 'billing': False}}, {'id': 31174138, 'name': 'Surge Chaser for Lyft', 'package': 'com.uplyftprime', 'uname': 'surge-chaser-for-lyft', 'size': 9885571, 'icon': 'http://pool.img.xxxxxxx.com/devlindelfuego/6ae78524c53ca97c15c9b2befe58a3cc_icon.png', 'graphic': None, 'added': '2017-08-06 08:23:23', 'modified': '2017-08-06 08:23:24', 'updated': '2017-08-06 08:23:24', 'uptype': 'aptbackup', 'store': {'id': 1618717, 'name': 'devlindelfuego', 'avatar': 'http://pool.img.xxxxxxx.com/devlindelfuego/3bf5adf05843f9f28c486d5ddef8f873_ravatar.jpg', 'appearance': {'theme': 'default', 'description': ''}, 'stats': {'apps': 164, 'subscribers': 12, 'downloads': 3328}}, 'file': {'vername': '1.029', 'vercode': 30, 'md5sum': 'cc202eb8de4569095aec2f86b7265f94', 'filesize': 9885571, 'path': 'http://pool.apk.xxxxxxx.com/devlindelfuego/com-uplyftprime-30-31174138-cc202eb8de4569095aec2f86b7265f94.apk', 'path_alt': 'http://pool.apk.xxxxxxx.com/devlindelfuego/alt/Y29tLXVwbHlmdHByaW1lLTMwLTMxMTc0MTM4LWNjMjAyZWI4ZGU0NTY5MDk1YWVjMmY4NmI3MjY1Zjk0.apk', 'malware': {'rank': 'UNKNOWN'}}, 'stats': {'downloads': 10, 'pdownloads': 11, 'rating': {'avg': 0, 'total': 0}, 'prating': {'avg': 0, 'total': 0}}, 'has_versions': True, 'obb': None, 'appcoins': {'advertising': False, 'billing': False}}, {'id': 26296353, 'name': 'Lyft car hire', 'package': 'cc.snapp.app_lyft_car_hire', 'uname': 'lyft-car-hire', 'size': 49270686, 'icon': 'http://pool.img.xxxxxxx.com/snappbuilder/1a3e8d7ee63aee4ce41f4f09afc5eb6e.png', 'graphic': None, 'added': '2017-04-23 08:45:23', 'modified': '2017-04-23 08:45:23', 'updated': '2017-04-23 08:45:23', 'uptype': 'webservice', 'store': {'id': 992935, 'name': 'snappbuilder', 'avatar': 'http://pool.img.xxxxxxx.com/snappbuilder/4fd67e18c3369c00e55d58854466d4fb_ravatar.png', 'appearance': {'theme': 'lightsky', 'description': ''}, 'stats': {'apps': 11364, 'subscribers': 4879, 'downloads': 655515}}, 'file': {'vername': '1.9.2', 'vercode': 570313178, 'md5sum': 'a7475d8c27b7672f1020013847a8ea6e', 'filesize': 49270686, 'path': 'http://pool.apk.xxxxxxx.com/snappbuilder/cc-snapp-app-lyft-car-hire-570313178-26296353-a7475d8c27b7672f1020013847a8ea6e.apk', 'path_alt': 'http://pool.apk.xxxxxxx.com/snappbuilder/alt/Y2Mtc25hcHAtYXBwLWx5ZnQtY2FyLWhpcmUtNTcwMzEzMTc4LTI2Mjk2MzUzLWE3NDc1ZDhjMjdiNzY3MmYxMDIwMDEzODQ3YThlYTZl.apk', 'malware': {'rank': 'UNKNOWN'}}, 'stats': {'downloads': 2, 'pdownloads': 3, 'rating': {'avg': 0, 'total': 0}, 'prating': {'avg': 0, 'total': 0}}, 'has_versions': False, 'obb': None, 'appcoins': {'advertising': False, 'billing': False}}, {'id': 23145792, 'name': 'Assist4Lyft: Lyft Promo Codes', 'package': 'com.thelyftrider.lyftassist', 'uname': 'assist-4lyft', 'size': 5850532, 'icon': 'http://pool.img.xxxxxxx.com/vegasrome/199e862cf067a80d5ef93617ac7f14c8_icon.png', 'graphic': None, 'added': '2017-01-28 11:53:43', 'modified': '2017-01-28 11:53:43', 'updated': '2018-02-06 01:12:25', 'uptype': 'aptuploader', 'store': {'id': 52879, 'name': 'vegasrome', 'avatar': 'http://pool.img.xxxxxxx.com/vegasrome/3c9c3ea9ed74341c8a45890d6ea32fb3_ravatar.png', 'appearance': {'theme': 'black', 'description': 'Enjoy and keep in mind.. some of my uploads my require Lucky Patcher, Google Play Mod, and ROOT\r\nDo my best to bring you latest versions.'}, 'stats': {'apps': 8856, 'subscribers': 19216, 'downloads': 3672234}}, 'file': {'vername': '1.0', 'vercode': 1, 'md5sum': '817c42f6a997ef8bc60e54c61bbcfb71', 'filesize': 5850532, 'path': 'http://pool.apk.xxxxxxx.com/vegasrome/com-thelyftrider-lyftassist-1-23145792-817c42f6a997ef8bc60e54c61bbcfb71.apk', 'path_alt': 'http://pool.apk.xxxxxxx.com/vegasrome/alt/Y29tLXRoZWx5ZnRyaWRlci1seWZ0YXNzaXN0LTEtMjMxNDU3OTItODE3YzQyZjZhOTk3ZWY4YmM2MGU1NGM2MWJiY2ZiNzE.apk', 'malware': {'rank': 'UNKNOWN'}}, 'stats': {'downloads': 29, 'pdownloads': 30, 'rating': {'avg': 0, 'total': 0}, 'prating': {'avg': 0, 'total': 0}}, 'has_versions': False, 'obb': None, 'appcoins': {'advertising': False, 'billing': False}}, {'id': 21730958, 'name': 'FareWell', 'package': 'com.farewell', 'uname': 'robert-niimi-farewell', 'size': 8932627, 'icon': 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'has_versions': False, 'obb': None, 'appcoins': {'advertising': False, 'billing': False}}, {'id': 39440400, 'name': 'Free Taxi Coupons For Lyft', 'package': 'com.pulsarappz.freetaxicouponsforlyft', 'uname': 'free-taxi-coupons-for-lyft', 'size': 5898638, 'icon': 'http://pool.img.xxxxxxx.com/lm2442/e919b13803869a85bfc01a44bea9f854_icon.png', 'graphic': None, 'added': '2018-08-09 05:58:07', 'modified': '2018-08-09 05:58:07', 'updated': '2018-08-09 05:58:07', 'uptype': 'aptuploader', 'store': {'id': 2173406, 'name': 'lm2442', 'avatar': 'http://pool.img.xxxxxxx.com/lm2442/3bf5adf05843f9f28c486d5ddef8f873_ravatar.jpg', 'appearance': {'theme': 'black', 'description': 'Browns'}, 'stats': {'apps': 43, 'subscribers': 1, 'downloads': 68}}, 'file': {'vername': '1.9', 'vercode': 10, 'md5sum': 'a50e0aea81b50407bed88d1a46a8afed', 'filesize': 5898638, 'path': 'http://pool.apk.xxxxxxx.com/lm2442/com-pulsarappz-freetaxicouponsforlyft-10-39440400-a50e0aea81b50407bed88d1a46a8afed.apk', 'path_alt': 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'modified': '2017-01-21 09:30:01', 'updated': '2017-04-18 04:00:55', 'uptype': 'aptbackup', 'store': {'id': 1128043, 'name': 'moshkosh', 'avatar': 'http://pool.img.xxxxxxx.com/moshkosh/31d3c02ce8ddbeaa844ba1b0aa1d6cb2_ravatar.jpg', 'appearance': {'theme': 'light-blue', 'description': "Everything you want, Nothing you need.. \nOn a real note though, I upload the apps I frequent as well as the one timers I don't."}, 'stats': {'apps': 2333, 'subscribers': 165, 'downloads': 52338}}, 'file': {'vername': '2.1.0', 'vercode': 10148, 'md5sum': 'fc91fbde809abb73e259563820aa2593', 'filesize': 8712680, 'path': 'http://pool.apk.xxxxxxx.com/moshkosh/com-zailoo-xroads-10148-23075890-fc91fbde809abb73e259563820aa2593.apk', 'path_alt': 'http://pool.apk.xxxxxxx.com/moshkosh/alt/Y29tLXphaWxvby14cm9hZHMtMTAxNDgtMjMwNzU4OTAtZmM5MWZiZGU4MDlhYmI3M2UyNTk1NjM4MjBhYTI1OTM.apk', 'malware': {'rank': 'UNKNOWN'}}, 'stats': {'downloads': 8, 'pdownloads': 10, 'rating': {'avg': 0, 'total': 0}, 'prating': {'avg': 0, 'total': 0}}, 'has_versions': True, 'obb': None, 'appcoins': {'advertising': False, 'billing': False}}, {'id': 5971395, 'name': 'lyft uber easy taxi cabs', 'package': 'thetaxiapp.com', 'uname': 'lyft-uber-easy-taxi-cabs', 'size': 3442701, 'icon': 'http://pool.img.xxxxxxx.com/shaddon-green/ecb0e8b1ce78b612c06288cb194d6818_icon.png', 'graphic': None, 'added': '2014-06-04 06:38:56', 'modified': '2014-06-04 06:38:56', 'updated': '2014-06-04 06:38:56', 'uptype': 'aptbackup', 'store': {'id': 120645, 'name': 'shaddon-green', 'avatar': 'http://pool.img.xxxxxxx.com/shaddon-green/3bf5adf05843f9f28c486d5ddef8f873_ravatar.jpg', 'appearance': {'theme': 'indigo', 'description': ''}, 'stats': {'apps': 1255, 'subscribers': 697, 'downloads': 115051}}, 'file': {'vername': '6.1.0.0.14', 'vercode': 177, 'md5sum': 'edddd6358e0c60b15caef4322341d3ff', 'filesize': 3442701, 'path': 'http://pool.apk.xxxxxxx.com/shaddon-green/thetaxiapp-com-177-5971395-edddd6358e0c60b15caef4322341d3ff.apk', 'path_alt': 'http://pool.apk.xxxxxxx.com/shaddon-green/alt/dGhldGF4aWFwcC1jb20tMTc3LTU5NzEzOTUtZWRkZGQ2MzU4ZTBjNjBiMTVjYWVmNDMyMjM0MWQzZmY.apk', 'malware': {'rank': 'UNKNOWN'}}, 'stats': {'downloads': 303, 'pdownloads': 294, 'rating': {'avg': 5, 'total': 2}, 'prating': {'avg': 5, 'total': 2}}, 'has_versions': False, 'obb': None, 'appcoins': {'advertising': False, 'billing': False}}, {'id': 37966226, 'name': 'Free Taxi Ride Coupons for Lyft', 'package': 'com.appfactory.taxicouponslyft', 'uname': 'taxi-coupons-lyft', 'size': 4902371, 'icon': 'http://pool.img.xxxxxxx.com/vivo-api/699da34f6b1cede35beda1f20ffa600d_icon.png', 'graphic': None, 'added': '2018-06-08 02:22:53', 'modified': '2018-06-08 02:22:53', 'updated': '2018-06-08 02:22:53', 'uptype': 'webservice', 'store': {'id': 1463246, 'name': 'vivo-api', 'avatar': 'http://pool.img.xxxxxxx.com/vivo-api/3bf5adf05843f9f28c486d5ddef8f873_ravatar.jpg', 'appearance': {'theme': 'default', 'description': ''}, 'stats': {'apps': 123417, 'subscribers': 6878, 'downloads': 4220618}}, 'file': {'vername': '1.2', 'vercode': 3, 'md5sum': 'a7fcb7844b897b95d2f8fd9dae6d716d', 'filesize': 4902371, 'path': 'http://pool.apk.xxxxxxx.com/vivo-api/com-appfactory-taxicouponslyft-3-37966226-a7fcb7844b897b95d2f8fd9dae6d716d.apk', 'path_alt': 'http://pool.apk.xxxxxxx.com/vivo-api/alt/Y29tLWFwcGZhY3RvcnktdGF4aWNvdXBvbnNseWZ0LTMtMzc5NjYyMjYtYTdmY2I3ODQ0Yjg5N2I5NWQyZjhmZDlkYWU2ZDcxNmQ.apk', 'malware': {'rank': 'UNKNOWN'}}, 'stats': {'downloads': 8, 'pdownloads': 8, 'rating': {'avg': 5, 'total': 1}, 'prating': {'avg': 5, 'total': 1}}, 'has_versions': False, 'obb': None, 'appcoins': {'advertising': False, 'billing': False}}, {'id': 38283734, 'name': 'Free Ride Promos for Lyft Cab', 'package': 'com.shineappzz.newlyftcoupons', 'uname': 'newlyftcoupons-big-shine-team', 'size': 4217943, 'icon': 'http://pool.img.xxxxxxx.com/legacyapps13/1d630b774f661acaace44e9f54f43f71_icon.png', 'graphic': None, 'added': '2018-06-20 16:23:24', 'modified': '2018-06-20 16:23:24', 'updated': '2018-06-20 16:23:24', 'uptype': 'aptuploader', 'store': {'id': 2025398, 'name': 'legacyapps13', 'avatar': 'http://pool.img.xxxxxxx.com/legacyapps13/3bf5adf05843f9f28c486d5ddef8f873_ravatar.jpg', 'appearance': {'theme': 'default', 'description': ''}, 'stats': {'apps': 84, 'subscribers': 44, 'downloads': 19482}}, 'file': {'vername': '1.0', 'vercode': 1, 'md5sum': 'b6df2843e8025eac0b10853f1af3fcb6', 'filesize': 4217943, 'path': 'http://pool.apk.xxxxxxx.com/legacyapps13/com-shineappzz-newlyftcoupons-1-38283734-b6df2843e8025eac0b10853f1af3fcb6.apk', 'path_alt': 'http://pool.apk.xxxxxxx.com/legacyapps13/alt/Y29tLXNoaW5lYXBwenotbmV3bHlmdGNvdXBvbnMtMS0zODI4MzczNC1iNmRmMjg0M2U4MDI1ZWFjMGIxMDg1M2YxYWYzZmNiNg.apk', 'malware': {'rank': 'UNKNOWN'}}, 'stats': {'downloads': 3, 'pdownloads': 3, 'rating': {'avg': 5, 'total': 1}, 'prating': {'avg': 5, 'total': 1}}, 'has_versions': False, 'obb': None, 'appcoins': {'advertising': False, 'billing': False}}, {'id': 39440422, 'name': 'Taxi Coupons for Lyft - Canada & USA', 'package': 'com.pulsarappz.couponsforlyft_usandcanada', 'uname': 'coupons-for-lyft-us-and-canada', 'size': 6186897, 'icon': 'http://pool.img.xxxxxxx.com/lm2442/f561c396db660e6989ea894953166976_icon.png', 'graphic': None, 'added': '2018-08-09 05:59:09', 'modified': '2018-08-09 05:59:10', 'updated': '2018-08-09 05:59:10', 'uptype': 'aptuploader', 'store': {'id': 2173406, 'name': 'lm2442', 'avatar': 'http://pool.img.xxxxxxx.com/lm2442/3bf5adf05843f9f28c486d5ddef8f873_ravatar.jpg', 'appearance': {'theme': 'black', 'description': 'Browns'}, 'stats': {'apps': 43, 'subscribers': 1, 'downloads': 68}}, 'file': {'vername': '5.0', 'vercode': 5, 'md5sum': 'afc9cb352de940d11b5e0a1437261d4c', 'filesize': 6186897, 'path': 'http://pool.apk.xxxxxxx.com/lm2442/com-pulsarappz-couponsforlyft-usandcanada-5-39440422-afc9cb352de940d11b5e0a1437261d4c.apk', 'path_alt': 'http://pool.apk.xxxxxxx.com/lm2442/alt/Y29tLXB1bHNhcmFwcHotY291cG9uc2Zvcmx5ZnQtdXNhbmRjYW5hZGEtNS0zOTQ0MDQyMi1hZmM5Y2IzNTJkZTk0MGQxMWI1ZTBhMTQzNzI2MWQ0Yw.apk', 'malware': {'rank': 'UNKNOWN'}}, 'stats': {'downloads': 2, 'pdownloads': 2, 'rating': {'avg': 0, 'total': 0}, 'prating': {'avg': 0, 'total': 0}}, 'has_versions': False, 'obb': None, 'appcoins': {'advertising': False, 'billing': False}}]
from pandas.io.json import json_normalize
df = json_normalize(data)
df.to_csv('file.csv', index=False)