Table of contents
Hello, techies!
Let's face it. At some point in your programming journey, whilst working with internet data resources or databases, you've wanted to export some data to a file in a format that is widely reusable. This article teaches you exactly how to do that in the shortest way possible, in one of the most widely acceptable languages out there (Python).
To be clear, the data can be from any source, but the sampled codes below were used to export data from a free and reliable API for testing and prototyping, JSONPlaceholder using Python scripts.
Exporting to CSV
For the purpose of avoiding unnecessary ambiguity, parts of the code without any connection to this topic were replaced with ". . .".
#!/usr/bin/python3
'''
For a given employee ID (standard output), this script exports
employee data in CSV format to a file, "<USER_ID>.csv".
'''
if __name__ == "__main__":
import csv
import requests
import sys
ID = int(sys.argv[1])
name_URL = 'https://jsonplaceholder.typicode.com/users' + '/' + str(ID)
TODOs_URL = 'https://jsonplaceholder.typicode.com/todos'
r = requests.get(name_URL)
user_dict = r.json()
. . .
params = {
"userId": ID
}
r = requests.get(TODOs_URL, params=params)
tasks = r.json()
. . .
'''Export happens here'''
file_name = str(ID) + '.csv'
with open(file_name, mode='w', newline='') as file:
writer = csv.writer(file, quoting=csv.QUOTE_ALL)
for task in tasks:
data = [
str(user_dict["id"]),
str(user_dict["username"]),
str(task["completed"]),
str(task["title"])
]
writer.writerow(data)
Exporting to JSON
For the purpose of avoiding unnecessary ambiguity, parts of the code without any connection to this topic were replaced with ". . .".
#!/usr/bin/python3
'''
For a given employee ID (standard output), this script exports
employee data in JSON format to a file, "<USER_ID>.json".
'''
if __name__ == "__main__":
import json
import requests
import sys
ID = int(sys.argv[1])
name_URL = 'https://jsonplaceholder.typicode.com/users' + '/' + str(ID)
TODOs_URL = 'https://jsonplaceholder.typicode.com/todos'
r = requests.get(name_URL)
user_dict = r.json()
. . .
params = {
"userId": ID
}
r = requests.get(TODOs_URL, params=params)
tasks = r.json()
. . .
'''Export happens here'''
file_name = str(ID) + '.json'
with open(file_name, mode='w') as file:
data = {
str(ID): [
{
"task": str(task["title"]),
"completed": task["completed"],
"username": str(user_dict["username"])
} for task in tasks
]
}
json.dump(data, file)
Conclusion
The "data" variables in the codes above refer to dictionaries already present in an online resource accessed via the JSONPlaceholder REST API.
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The recommended article you should begin with is Shell Basics.
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