Fake Users Dataset (JSON, 500 records)
The 500-row users dataset as a JSON array — the format twin of the CSV version, for testing import and conversion.
[
{
"id": 1,
"name": "Jessica Smith",
"email": "powerschristopher@example.com",
"address": "59797 Christopher Station, Port Alexisfort, FM 33246",
"dob": "1949-12-08"
},
{
"id": 2,
"name": "Susan Jones",
"email": "robertsonbrandon@example.net",
"address": "5433 Mcdowell Shores Apt. 810, Douglasfort, TN 49960",
"dob": "1956-11-30"
},
{
"id": 3,
"name": "Kevin Martin",
"email": "drewpineda@example.org",
"address": "USNS Santiago, FPO AA 05690",
"dob": "1973-11-13"
},
{
"id": 4,
"name": "Robert Thompson",
"email": "kevinabbott@example.com",
"address": "7597 Williams Mountains Apt. 787, Joshuaburgh, MT 57656",
"dob": "1997-11-17"
},
{
"id": 5,
"name": "Joseph Calderon",
"email": "qbennett@example.com",
"address": "29425 Le Common Suite 304, East Williamland, WY 92171",
"dob": "1967-02-11"
},
{
"id": 6,
"name": "Joel Richards",
"email": "barkerstefanie@example.org",
"address": "353 Thompson Prairie Apt. 405, South Rebecca, OH 62424",
"dob": "1968-04-03"
},
{
"id": 7,
"name": "Anthony Martin",
"email": "meganjones@example.com",
"address": "123 Ryan Street, Jamiefurt, VI 37207",
"dob": "1982-02-13"
},Specifications
- Records
- 500
- Schema
- id, name, email, address, dob
- Generator
- faker
- Seed
- 1234
What is a .json file?
JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.
How to use this file
Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.
Related files
- csvFake Orders Dataset (CSV, 1000 rows)A 1000-row orders dataset whose user_id references the users dataset — a relational fixture for testing joins and import flows. Paired with a JSON twin.
- jsonFake Orders Dataset (JSON, 1000 records)The 1000-row orders dataset as JSON — the format twin of the CSV version, relational to the users dataset.
- csvE-commerce Customers (CSV, 500 rows)A realistic e-commerce customer directory (500 rows) — part of a relational dataset (products, customers, orders) with CSV, JSON, SQL, and Parquet twins for testing joins, imports, and conversion.
- jsonE-commerce Customers (JSON, 500 records)The e-commerce customers table as a JSON array — the format twin of the CSV, for import and conversion testing.
- sqlE-commerce Database Schema (SQL)A relational SQL schema (products, customers, orders with primary and foreign keys) plus sample INSERTs — the DDL twin of the e-commerce dataset, for testing schema import and migrations.
- csvE-commerce Orders (CSV, 2000 rows)A realistic e-commerce order lines (customer_id → customers, product_id → products) (2000 rows) — part of a relational dataset (products, customers, orders) with CSV, JSON, SQL, and Parquet twins for testing joins, imports, and conversion.
Generated by generation/data_fake.py. Free for any use, no attribution required — license.