Random User Generator
Pricing
from $10.00 / 1,000 results
Pricing
from $10.00 / 1,000 results
Rating
0.0
(0)
Developer

Taher Ali Badnawarwala
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
20 days ago
Last modified
Categories
Share
Random User Generator
Pricing
from $10.00 / 1,000 results
Pricing
from $10.00 / 1,000 results
Rating
0.0
(0)
Developer

Taher Ali Badnawarwala
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
20 days ago
Last modified
Categories
Share
You can access the Random User Generator programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.1", "x-build-id": "MWC59IQlKE9XONrYK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/calm_necessity~random-user-generator-apify/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-calm_necessity-random-user-generator-apify", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/calm_necessity~random-user-generator-apify/runs": { "post": { "operationId": "runs-sync-calm_necessity-random-user-generator-apify", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/calm_necessity~random-user-generator-apify/run-sync": { "post": { "operationId": "run-sync-calm_necessity-random-user-generator-apify", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": 100, "type": "integer", "description": "How many random users to generate (1–100).", "default": 10 }, "gender": { "title": "Gender", "enum": [ "male", "female", "both" ], "type": "string", "description": "Filter results by gender.", "default": "both" }, "passwordMinLength": { "title": "Password min length", "minimum": 1, "maximum": 18, "type": "integer", "description": "Minimum password length used for the range check.", "default": 8 }, "passwordMaxLength": { "title": "Password max length", "minimum": 8, "maximum": 18, "type": "integer", "description": "Maximum password length used for the range check.", "default": 18 }, "passwordRequireUppercase": { "title": "Require uppercase", "type": "boolean", "description": "Check that the password contains at least one uppercase letter.", "default": true }, "passwordRequireLowercase": { "title": "Require lowercase", "type": "boolean", "description": "Check that the password contains at least one lowercase letter.", "default": true }, "passwordRequireSymbol": { "title": "Require symbol", "type": "boolean", "description": "Check that the password contains at least one symbol (non-alphanumeric).", "default": true }, "passwordRequireRange": { "title": "Require length range", "type": "boolean", "description": "Check that the password length is between min and max length.", "default": true }, "nationalities": { "title": "Nationality", "enum": [ "", "AU", "BR", "CA", "DK", "FI", "FR", "DE", "IN", "IR", "IE", "MX", "NL", "NZ", "NO", "RS", "ES", "CH", "TR", "UA", "GB", "US" ], "type": "string", "description": "Nationality for random users. Affects location, phone, id, etc. Pictures are not affected. Leave as 'Any' for no filter. (randomuser v1.4 codes.)", "default": "" }, "inc": { "title": "Include fields", "uniqueItems": true, "type": "array", "description": "Optional. Select which fields to include only. If none selected, all response data is returned. Saves time by skipping CPU-intensive fields like login.", "items": { "type": "string", "enum": [ "gender", "name", "location", "email", "login", "registered", "dob", "phone", "cell", "id", "picture", "nat" ], "enumTitles": [ "Gender", "Name", "Location", "Email", "Login", "Registered", "Date of birth", "Phone", "Cell", "ID", "Picture", "Nationality" ] }, "default": [] }, "exc": { "title": "Exclude fields", "uniqueItems": true, "type": "array", "description": "Optional. Select which fields to exclude. If none selected, no fields are excluded.", "items": { "type": "string", "enum": [ "gender", "name", "location", "email", "login", "registered", "dob", "phone", "cell", "id", "picture", "nat" ], "enumTitles": [ "Gender", "Name", "Location", "Email", "Login", "Registered", "Date of birth", "Phone", "Cell", "ID", "Picture", "Nationality" ] }, "default": [] } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Random User Generator from the options below:
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