# Random User Generator Scraper (`crawlerbros/random-user-scraper`) Actor Generate realistic random user profiles from randomuser.me's public API. Filter by nationality, gender, or password rules. Returns name, email, location, phone, picture, and more. No API key required. Perfect for generating test data and mock datasets. - **URL**: https://apify.com/crawlerbros/random-user-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Developer tools, Automation, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Random User Generator Scraper Generate realistic random user profiles from [randomuser.me](https://randomuser.me)'s public API. No API key required. Perfect for generating test data, mock datasets, and development fixtures. ### Features - Generate up to 5,000 user profiles per run - Filter by **gender** (male, female, or any) - Filter by **nationality** (21 countries supported) - Returns full name, email, address, phone, and more - Optional **profile pictures** from randomuser.me CDN - Optional **login credentials** (username, MD5/SHA256 hashes only — no plaintext passwords) ### Input | Field | Type | Description | |---|---|---| | `count` | integer | Number of users to generate (default: 100) | | `gender` | select | `any`, `male`, `female` | | `nationalities` | multi-select | Country codes (AU, BR, CA, DE, FR, GB, US, etc.) | | `includePicture` | boolean | Include profile picture URLs (default: true) | | `includeLogin` | boolean | Include username and password hashes (default: false) | ### Output | Field | Description | |---|---| | `fullName` | Full name | | `firstName` | First name | | `lastName` | Last name | | `gender` | Gender | | `email` | Email address | | `phone` | Phone number | | `nationality` | Country code | | `age` | Age in years | | `dateOfBirth` | ISO date of birth | | `streetAddress` | Street address | | `city` | City | | `state` | State/region | | `country` | Country name | | `postcode` | Postal code | | `latitude` | Latitude | | `longitude` | Longitude | | `pictureUrl` | Profile picture URL | | `scrapedAt` | ISO timestamp | | `recordType` | Always `"user_profile"` | ### Supported Nationalities AU, BR, CA, CH, DE, DK, ES, FI, FR, GB, IE, IN, IR, MX, NL, NO, NZ, RS, TR, UA, US ### FAQ **Is this real data?** No — all profiles are algorithmically generated. Do not use for identity verification. **Can I generate thousands of users?** Yes — up to 5,000 per run. **Are the profile pictures real?** The photos are real human portraits licensed for use by randomuser.me. # Actor input Schema ## `count` (type: `integer`): How many random users to generate. ## `gender` (type: `string`): Filter users by gender. ## `nationalities` (type: `array`): Filter users by nationality (ISO country codes). Leave empty for all. ## `includePicture` (type: `boolean`): Include the user's profile picture URL in the output. ## `includeLogin` (type: `boolean`): Include generated username and password hash in the output. ## Actor input object example ```json { "count": 100, "gender": "any", "nationalities": [], "includePicture": true, "includeLogin": false } ```` # Actor output Schema ## `items` (type: `string`): Dataset containing all scraped records. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "count": 100, "gender": "any", "nationalities": [], "includePicture": true, "includeLogin": false }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/random-user-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "count": 100, "gender": "any", "nationalities": [], "includePicture": True, "includeLogin": False, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/random-user-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "count": 100, "gender": "any", "nationalities": [], "includePicture": true, "includeLogin": false }' | apify call crawlerbros/random-user-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/random-user-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Random User Generator Scraper", "description": "Generate realistic random user profiles from randomuser.me's public API. Filter by nationality, gender, or password rules. Returns name, email, location, phone, picture, and more. No API key required. Perfect for generating test data and mock datasets.", "version": "1.0", "x-build-id": "X04tXz5nondDcutbA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~random-user-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-random-user-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~random-user-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-random-user-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~random-user-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-random-user-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "count": { "title": "Number of users", "minimum": 1, "maximum": 5000, "type": "integer", "description": "How many random users to generate.", "default": 100 }, "gender": { "title": "Gender", "enum": [ "any", "male", "female" ], "type": "string", "description": "Filter users by gender.", "default": "any" }, "nationalities": { "title": "Nationalities", "type": "array", "description": "Filter users by nationality (ISO country codes). Leave empty for all.", "items": { "type": "string", "enum": [ "AU", "BR", "CA", "CH", "DE", "DK", "ES", "FI", "FR", "GB", "IE", "IN", "IR", "MX", "NL", "NO", "NZ", "RS", "TR", "UA", "US" ] }, "default": [] }, "includePicture": { "title": "Include profile picture URL", "type": "boolean", "description": "Include the user's profile picture URL in the output.", "default": true }, "includeLogin": { "title": "Include login credentials", "type": "boolean", "description": "Include generated username and password hash in the output.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```