This script came up while trying to go through a 5 GB dataset with json data. There was a need to sift throught the json attributes in a nice looking (indented, spaced) json format to understand it better. This would then be represented it in an ER diagram.
Basically view a file 'one_file.json' with garbled json data
{"business_id":"1SWheh84yJXfytovILXOAQ","name":"Arizona Biltmore Golf Club","address":"2818 E Camino Acequia Drive","city":"Phoenix","state":"AZ","postal_code":"85016","latitude":33.5221425,"longitude":-112.0184807,"stars":3.0,"review_count":5,"is_open":0,"attributes":{"GoodForKids":"False"},"categories":"Golf, Active Life","hours":null} {"business_id":"QXAEGFB4oINs
as a beautiful data
{
"business_id": "1SWheh84yJXfytovILXOAQ",
"name": "Arizona Biltmore Golf Club",
"address": "2818 E Camino Acequia Drive",
"city": "Phoenix",
"state": "AZ",
"postal_code": "85016",
"latitude": 33.5221425,
"longitude": -112.0184807,
"stars": 3.0,
"review_count": 5,
"is_open": 0,
"attributes": {
"GoodForKids": "False"
},
"categories": "Golf, Active Life",
"hours": null
}
NOTE: download the file parse.py in the same working directory as your json files then run the following commands from terminal or unix shell
$cd your_work_directory
$python3 parse.py your_file_name.json
$python3 parse.py business.json
$python3 parse.py review.json
$python3 parse.py user.json
$python3 parse.py checkin.json