Mock Data Generator

hipersoft/mock-data-generator

Generate realistic fake people, companies and addresses as JSON or CSV with locale support. Seed databases, demos and tests without touching real personal data.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per records generated

$0.002

Last rebuilt

Oct 26, 2026

Overview

Generate realistic fake people, companies and addresses as JSON or CSV, with locale support and reproducible seeds. Seed databases, build demos and run tests without touching real personal data.

Mock Data Generator input — configure the options in the Apify Console

What it does

Generates realistic records — names, emails, phones, companies, addresses and more.
Pick your fields, choose a locale, and export as JSON or CSV.
Optional seed for reproducible output.

Use cases

Development & QA — seed databases and test fixtures.
Demos — populate a product with believable sample data.
Design — fill mockups with realistic content.

Input

{ "count": 100, "format": "json", "locale": "en", "fields": ["id", "firstName", "lastName", "email", "company", "city", "country"] }

Field	Type	Description
`count`	integer	How many records.
`format`	string	`json` or `csv`.
`locale`	string	e.g. en, de, fr, es, ja.
`fields`	array	Fields to include (see the input hint for the full list).
`seed`	integer	Reproducible output (0 = random).

Output

Mock Data Generator output — the results as a clean dataset

The full dataset is saved as mock-data.json / mock-data.csv in your key-value store; the dataset holds a summary row with a small sample.

{ "count": 100, "format": "json", "fields": ["id","firstName","lastName","email","company","city","country"], "resultUrl": "https://api.apify.com/v2/key-value-stores/.../records/mock-data.json" }

Output schema

Field	Type	Description
`count`	integer	Records generated.
`format`	string	Output format.
`resultUrl`	string (URL)	Link to the generated data file.

FAQ

Which fields can I generate? id, names, email, phone, company, job title, full address, coordinates, price, product, colors, lorem, booleans, numbers and dates — see the input hint.

Can I automate it? Yes — via integrations on the Apify platform and the Apify API.

Notes

Original clean-room implementation. All data is randomly generated — not real people.

Input

Field	Type	Description
`count` How many records	integer	Number of records to generate (1–100000). Default: `100`
`format` Output format	string · json, csv	Format for the generated data file. Default: `"json"`
`locale` Locale	string	Locale for names/addresses, e.g. en, en_US, de, fr, es, ja. Default: `"en"`
`fields` Fields	array	Which fields to include. Leave empty for a default person/company record. Supported: id, firstName, lastName, fullName, email, username, phone, company, jobTitle, avatar, ip, url, street, city, state, zip, country, lat, lng, price, product, color, lorem, boole
`seed` Seed	integer	Optional seed for reproducible output (0 = random each run). Default: `0`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~mock-data-generator/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "fields": [
    "id",
    "firstName",
    "lastName",
    "email",
    "company",
    "city",
    "country"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/mock-data-generator").call(run_input={
    "fields": [
        "id",
        "firstName",
        "lastName",
        "email",
        "company",
        "city",
        "country"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/mock-data-generator').call({
  "fields": [
    "id",
    "firstName",
    "lastName",
    "email",
    "company",
    "city",
    "country"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Records generated Fake data records generated	$0.002	$0.001

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

Related scrapers

Bulk Image Downloader

Download thousands of images from a list of URLs and store each in the key-value store with a public link. Returns content type, size, dimensions and SHA-256 per image. Bulk-ready. Great for datasets, backups and media pipelines.

8,102 runs · 103 users · $0.056 / url processed

Text to Speech

Convert any text to natural-sounding speech as an MP3 download. 300+ premium neural voices across 70+ languages, adjustable rate, pitch and volume. Great for voiceovers, videos, accessibility and audio content. No setup.

278 runs · 22 users · $0.01 / audio generated

Google Maps Email Extractor

Search Google Maps for businesses, then crawl each business website to extract emails, social profiles and extra phone numbers. Turns any Maps search into a ready lead list. No setup.

159 runs · 8 users · $0.006 / business lead scraped

Website Screenshot

Capture full-page or viewport screenshots of any URL as PNG or JPEG, at any device size. For monitoring, previews, thumbnails and automation workflows.

156 runs · 3 users · $0.004 / screenshot captured

Bulk URL Status Checker

Check thousands of URLs over plain HTTP: status codes, broken links (404/410/5xx), full redirect chains, response time, content type, page title and SSL certificate expiry.

154 runs · 13 users · $0.002 / url checked

Google Search Scraper

Scrape Google Search results (organic listings) for any query: title, URL, displayed URL, snippet and position. Multi-query, per-country/language, pagination. Uses Google SERP proxy — reliable, no captcha, no setup.

121 runs · 8 users · $0.001 / result scraped

Need a source that isn't here?

Send the site and the fields. We build it and you get it first.

Request a build