🧑‍💻 RandomUser Test Data Scraper

🚀 Generate realistic mock users in one run. Spin up clean, fully populated synthetic identities with names, emails, addresses, phone numbers, photos, and login fields, ready for your test suite, staging database, or demo.

🕒 Last updated: 2026-06-04 · 📊 31 fields per record · powered by the public randomuser.me API · 21 nationalities supported

Need believable people for your app without touching a single real person's data? This actor turns the keyless randomuser.me API into a clean, structured feed of synthetic users. Pick how many you want, optionally lock a gender, a set of nationalities, or a reproducible seed, and get back a flat record per user with a profile photo, full name, email, username, phone, address, coordinates, date of birth, and a national ID placeholder.

Every value is fabricated by randomuser.me. Nothing here belongs to a real individual, which makes it safe to drop into test environments, fixtures, and demos. Use a seed when you need the exact same users on every run, or leave it blank for a fresh batch each time. Coverage spans 21 nationalities including the US, UK, Canada, Germany, France, Spain, Australia, Brazil, India, and more.

🎯 Target Audience	💡 Primary Use Cases
Backend and frontend developers	Seeding databases with mock users
QA and test automation engineers	Populating test fixtures and CI runs
Designers and demo builders	Filling UI mockups with lifelike data
Data and ML teams	Generating placeholder profiles at volume

📋 What the RandomUser Test Data Scraper does

This actor calls the randomuser.me API and returns one clean record per synthetic user. It flattens the nested API response into simple columns so you can use the data immediately. You control the batch with a few inputs:

• Number of Users sets how many records to generate per run.
• Seed makes the output reproducible. The same seed always returns the same users.
• Gender restricts the batch to male or female, or leaves it mixed.
• Nationalities restricts the batch to one or more of 21 supported countries.

Each record includes a profile photo, a full name broken into title, first, and last, gender, email, a generated username and uuid, phone and cell numbers, a postal address with city, state, country, postcode, and map coordinates, a date of birth with age, an account registration date, a timezone, and a national ID placeholder such as a US SSN, a UK NINO, or a Canadian SIN.

🎬 Full Demo (🚧 Coming soon)

⚙️ Input

Field	Type	Description
results	integer	How many synthetic users to generate (default 10).
seed	string	Optional. The same seed reproduces the same users.
maxItems	integer	Optional cap on records. Free plan is limited to 10.
gender	select	Any, Male, or Female.
nationalities	array	One or more of 21 supported countries.

Example 1 — ten mixed users, fresh every run:

{
  "results": 10
}

Example 2 — twenty reproducible British and American women:

{
  "results": 20,
  "gender": "female",
  "nationalities": ["GB", "US"],
  "seed": "qa-fixture-2026"
}

⚠️ Good to Know: when you set a seed, the gender filter is ignored by the source API and you may get a mix of genders. To force a single gender, run without a seed. All data is synthetic and not tied to any real person.

📊 Output

Field	Description
🖼 imageUrl	Large profile photo URL
👤 fullName	Title, first, and last name combined
🏷 title	Honorific such as Mr, Ms, Mrs
🔤 firstName	First name
🔡 lastName	Last name
⚧ gender	male or female
✉ email	Email address
🔑 username	Generated login username
🆔 uuid	Unique user identifier
📞 phone	Landline phone number
📱 cell	Mobile phone number
🌍 nationality	Two letter country code
🎂 dateOfBirth	Birth date timestamp
🔢 age	Age in years
📅 registeredDate	Account registration timestamp
⏳ accountAgeYears	Years since registration
🏠 street	Street number and name
🏙 city	City
🗺 state	State or region
🌐 country	Country
📮 postcode	Postal code
📍 latitude	Latitude
📍 longitude	Longitude
🕓 timezoneOffset	UTC offset
🕰 timezoneDescription	Timezone description
🪪 idName	National ID type such as SSN, NINO, SIN
🔖 idValue	National ID placeholder value
🖼 pictureMedium	Medium photo URL
🖼 pictureThumbnail	Thumbnail photo URL
🕒 scrapedAt	Generation timestamp
❌ error	Error message, null on success

Three real records from a live run:

{
  "imageUrl": "https://randomuser.me/api/portraits/women/18.jpg",
  "fullName": "Ms Amy Steward",
  "title": "Ms",
  "firstName": "Amy",
  "lastName": "Steward",
  "gender": "female",
  "email": "amy.steward@example.com",
  "username": "tinyduck936",
  "uuid": "dcf9c825-2b70-4623-a1e3-e4129000d2a1",
  "phone": "0131 590 7144",
  "cell": "07724 405591",
  "nationality": "GB",
  "dateOfBirth": "1959-02-10T14:41:49.856Z",
  "age": 67,
  "registeredDate": "2004-05-19T08:58:37.838Z",
  "accountAgeYears": 22,
  "street": "5632 Station Road",
  "city": "Newcastle upon Tyne",
  "state": "Clwyd",
  "country": "United Kingdom",
  "postcode": "T45 0YL",
  "latitude": "-5.7939",
  "longitude": "-151.3291",
  "timezoneOffset": "+10:00",
  "timezoneDescription": "Eastern Australia, Guam, Vladivostok",
  "idName": "NINO",
  "idValue": "KJ 36 53 02 R",
  "pictureMedium": "https://randomuser.me/api/portraits/med/women/18.jpg",
  "pictureThumbnail": "https://randomuser.me/api/portraits/thumb/women/18.jpg",
  "scrapedAt": "2026-06-04T19:36:27.000Z",
  "error": null
}

{
  "imageUrl": "https://randomuser.me/api/portraits/women/74.jpg",
  "fullName": "Ms Sarah Chow",
  "title": "Ms",
  "firstName": "Sarah",
  "lastName": "Chow",
  "gender": "female",
  "email": "sarah.chow@example.com",
  "username": "blackelephant607",
  "uuid": "4b49abc3-68e4-4c43-a534-8f0c2760f73f",
  "phone": "I05 Z47-6158",
  "cell": "K31 B03-7028",
  "nationality": "CA",
  "dateOfBirth": "1952-05-21T09:06:50.026Z",
  "age": 74,
  "registeredDate": "2012-02-18T20:21:09.390Z",
  "accountAgeYears": 14,
  "street": "9086 Coastal Highway",
  "city": "Greenwood",
  "state": "Yukon",
  "country": "Canada",
  "postcode": "T0D 9B3",
  "latitude": "-26.3574",
  "longitude": "77.4107",
  "timezoneOffset": "-11:00",
  "timezoneDescription": "Midway Island, Samoa",
  "idName": "SIN",
  "idValue": "362089625",
  "pictureMedium": "https://randomuser.me/api/portraits/med/women/74.jpg",
  "pictureThumbnail": "https://randomuser.me/api/portraits/thumb/women/74.jpg",
  "scrapedAt": "2026-06-04T19:36:27.147Z",
  "error": null
}

{
  "imageUrl": "https://randomuser.me/api/portraits/women/74.jpg",
  "fullName": "Mrs Lucy Taylor",
  "title": "Mrs",
  "firstName": "Lucy",
  "lastName": "Taylor",
  "gender": "female",
  "email": "lucy.taylor@example.com",
  "username": "brownduck861",
  "uuid": "78a49e5f-9a8b-47e8-9d8e-5d0a63336c9c",
  "phone": "01074 96061",
  "cell": "07607 931928",
  "nationality": "GB",
  "dateOfBirth": "1988-06-15T03:41:05.234Z",
  "age": 37,
  "registeredDate": "2003-04-02T18:07:14.698Z",
  "accountAgeYears": 23,
  "street": "801 The Grove",
  "city": "Winchester",
  "state": "Grampian",
  "country": "United Kingdom",
  "postcode": "L2 1FG",
  "latitude": "38.0586",
  "longitude": "119.0621",
  "timezoneOffset": "-4:00",
  "timezoneDescription": "Atlantic Time (Canada), Caracas, La Paz",
  "idName": "NINO",
  "idValue": "TG 44 93 96 M",
  "pictureMedium": "https://randomuser.me/api/portraits/med/women/74.jpg",
  "pictureThumbnail": "https://randomuser.me/api/portraits/thumb/women/74.jpg",
  "scrapedAt": "2026-06-04T19:36:27.190Z",
  "error": null
}

✨ Why choose this Actor

• Fully synthetic by design. Every record is generated, so there is no real personal data and no privacy headache for your test environment.
• Flat, ready to use. The nested API response is flattened into 31 plain columns, so you can load it straight into a database or spreadsheet without reshaping.
• Reproducible when you need it. Lock a seed and get the exact same users on every run, which is ideal for stable test fixtures.
• Photos included. Each record carries a real profile photo URL in three sizes, perfect for filling avatar slots in mockups.
• Multi nationality. Pull from 21 countries with locale appropriate names, addresses, phone formats, and national ID types.

📈 How it compares to alternatives

Approach	Setup effort	Realistic photos	Reproducible	Flattened output
This Actor	Minimal	Yes	Yes, via seed	Yes
Writing your own faker script	Medium	Usually no	Depends	You build it
Copying production data	High and risky	Yes	No	No
Hand typing test users	Very high	No	No	No

🚀 How to use

1. Sign up for a free Apify account using this sign-up link.
2. Open the RandomUser Test Data Scraper and set the number of users you want.
3. Optionally pick a gender, one or more nationalities, and a seed for reproducibility.
4. Click Start and let the run finish.
5. Preview the generated users, then connect the dataset to your app or integration.

💼 Business use cases

Software development

Need	How this helps
Seed a staging database	Drop in dozens of believable users with full profiles
Build UI before real data exists	Fill name, email, and avatar slots with lifelike values

Quality assurance

Need	How this helps
Stable test fixtures	Use a seed to get identical users on every CI run
Edge case coverage	Pull varied nationalities to test address and phone formats

Demos and sales

Need	How this helps
Product demos	Populate dashboards with realistic looking customer lists
Onboarding screenshots	Generate clean sample accounts on demand

Training and education

Need	How this helps
Teaching data handling	Practice on safe synthetic profiles, not real records
Workshop datasets	Hand out reproducible user sets to every attendee

🔌 Automating RandomUser Test Data Scraper

Connect the output to your stack so fresh test data flows automatically:

• Make and Zapier to push generated users into apps and sheets.
• Slack to post a batch summary when a run finishes.
• Airbyte to load records into a warehouse for analytics fixtures.
• GitHub Actions to refresh test fixtures on a schedule.
• Google Drive to archive generated batches as snapshots.

🌟 Beyond business use cases

• Research. Build sample cohorts for survey tooling or interface studies.
• Personal projects. Fill a side project with believable users while you build.
• Non-profit. Stand up demo environments for volunteers without exposing real data.
• Experimentation. Stress test forms, validation, and rendering with varied inputs.

🤖 Ask an AI assistant

Drop the output into your favorite assistant and ask it to summarize, reshape, or generate code around it:

• ChatGPT
• Claude
• Perplexity
• Microsoft Copilot

❓ Frequently Asked Questions

Is the data real? No. Every user is fully synthetic and generated by the randomuser.me API. No record belongs to a real person.

Can I get the same users on every run? Yes. Set a seed value and the same set of users is returned each time you run with that seed.

Why did my gender filter return a mix of genders? The source API ignores the gender filter when a seed is supplied. Run without a seed to force a single gender.

How many users can I generate per run? You can request up to 5000 per run. Free plan accounts are limited to 10 records as a preview.

Which countries are supported? Twenty one nationalities including the US, UK, Canada, Australia, Germany, France, Spain, Brazil, India, Mexico, Netherlands, and more.

Do records include a profile photo? Yes. Each record carries large, medium, and thumbnail photo URLs.

What is the idValue field? It is a synthetic national ID placeholder whose type depends on nationality, such as a US SSN, a UK NINO, or a Canadian SIN.

Are passwords included? No. Login passwords and hashes from the source are intentionally excluded to keep the output focused on identity fields.

Can I use this data in production? It is meant for testing, demos, and development. Because values are synthetic, they should not be used as real customer records.

How current is the data? Each run generates fresh data on demand, so there is no staleness to worry about.

What does the error field mean? It is null on success. If a run fails, the error field carries a short message describing what went wrong.

Can I restrict to specific nationalities and a gender at once? Yes, as long as you do not also set a seed. Combine the nationalities list with a gender for a targeted batch.

🔌 Integrate with any app

The dataset is available through the Apify API, so you can pull generated users into any system that speaks HTTP. Trigger runs on a schedule, fetch results programmatically, and wire them into your test pipelines.

🔗 Recommended Actors

• Agify Name Demographics Scraper to enrich names with predicted age data.
• SWAPI Star Wars Scraper for another clean source of structured sample data.
• Disposable Email Domains Scraper to validate and filter throwaway email addresses.
• Datamuse Words Scraper for word lists useful in generated content and fixtures.
• OpenTDB Trivia Scraper for sample question and answer data.

💡 Pro Tip: browse the complete ParseForge collection.

🆘 Need Help? Open our contact form

⚠️ Disclaimer: independent tool, not affiliated with randomuser.me. Only publicly available, synthetic data is generated.