Faker.Js - Generate Fake User Data in Massive Amount

Are you looking for dummy data generator for your collage projects? or building an app to large scale of dummy user data?. I will sharing a tool today, by using you can generate fake user data in massive level along with Name, Email , Date of Birth, Address & Phone no . also another relative information.

Faker.js - Generate Fake User Data
Faker.js - Generate Fake User Data

What is Faker how it's work as Generate Fake User Data?

Actually Faker is a Ruby library for generating random (fake) information, a tool for rapidly populating sites and applications with test filler information.

Faker can be utilized at whatever point a content compartment or a database should be loaded with filler content.

This permits designers to review how that UI segment would look on the off chance that it had content inside it, and how it would look with different sorts of substance.


While the default information is pretty generic, Faker permits developers to modify its database to fit particular land locales and their individual arranging guidelines.

Download Faker

Faker.js Features at a Glance :

  • Including almost all major user data, as name, email, address, avatar etc.
  • Data is organised and it can be use to API call.
  • Use for dummy data and unique identity each time.
  • Completely safe and there is no malware or something like that.
  • Open Source and you can get it freely.

Note: Faker only for informational and educational purpose. Misuse of any functionality of such tool may cause you in a trouble and we are not responsible for anything.

I think this article helps all TricksWay readers, either ethical hacking or web developers. Let me know if you have any query or suggestions.


Himanshu is a young engineer living in India. Currently working at Cognizant as a Senior Engineer. He is an ethical hacker & blogger too, doing lots of crazy stuff... If you seem interesting, go through his portfolio: www.himstar.info : "Open Source. Millions of open minds can't be wrong!

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