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Python 3 Faker Library Script to Generate Fake User API Data and Save to JSON File
Jun 3, 2025
Get the full source code of application here:
https://codingshiksha.com/python/python-3-faker-library-script-to-generate-fake-user-api-data-and-save-to-json-file/
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0:00
uh hello guys uh welcome to this video
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so in this video I will show you a
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Python script which can generate uh fake
0:06
data for your API or any sort of use you
0:09
can do sometimes you need some fake fake
0:13
data uh it can be JSON data it can be
0:15
CSV data so there is a package inside uh
0:19
Python you can actually generate some
0:21
random fake data for testing purposes so
0:24
the name of the package is faker this is
0:28
actually the package here it's a simple
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Python package that generates fake data
0:33
for your application for testing
0:35
purposes so the command is simple you
0:37
simply install this command i've already
0:39
installed it package so now I will show
0:42
you a very simple example so first of
0:46
all you just need to import the package
0:49
so we simply
0:51
import the JSON package which is
0:54
necessary and from this faker package we
0:57
need to import the faker
0:59
class and after that we just need to
1:02
initialize this faker class right
1:06
here so like this we can initialize it
1:10
after that we just need to generate a
1:12
list of fake users so for this I will
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just define a simple
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function which will be
1:21
generate fake users and here we'll pass
1:25
10 so we'll be generating 10 users data
1:29
so now we just need to define this
1:32
function right here
1:34
so we'll just define this generate fake
1:40
users so here it will take an argument
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right here which will be 10
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so here we'll be initializing this users
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array which will be empty by default and
1:50
then we will be looping
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through this for
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loop and for each thing we will be
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declaring this user
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object and it will have these details
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right here you can have a name right
2:13
here so this contains this function name
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this will generate a random name for
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your data then it will generate a simply
2:22
the email address similarly it if you
2:25
want the address you can it can even
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generate address as well so it has all
2:30
these methods as you can see for
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generating this data
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types then we have the phone number if
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you want the phone number it can even
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generate the phone number as well
2:43
then we also want the birth
2:51
date can see that so everything is
2:54
available in this so we
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can convert this into a string which
2:58
will be date of birth
3:07
uh then also we need all these things
3:10
which is the job title company
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uh website everything IP address and
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biography so these are the data types
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each user will have each user has a name
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email address phone number birthday job
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everything so now we'll just after that
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we will add this to the users
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array and lastly we will be returning
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this users array from this functions
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that's all so it's that easy so after we
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generate the users we can save this
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inside the JSON file so we will simply
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say result do.json so all this data will
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be saved inside this JSON
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file like this so after
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that we will dump this all this data
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inside
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this and then we can print out a
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statement that done so that's all this
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is your Python script so if I run this
4:12
Python script here you will actually see
4:14
on the left hand side a JSON file will
4:17
get created right here so
4:21
app so you can see the result.json file
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has been successfully created and if I
4:26
open this file you will see each user
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will have these properties here name
4:30
email address phone number so it will be
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an array of users so a total of 10 users
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will be there so in this easy way you
4:39
can generate some uh random fake testing
4:42
data for your application you can try
4:44
this data let's suppose you're building
4:47
an API you need this data so you can
4:49
generate this using a very simple Python
4:51
script using this uh third party module
4:54
Faker so thank you very much for
4:56
watching this video and also check out
4:58
my website freemediattools.com
5:01
uh which contains thousands of tools