# Name Generator (`datavault/name-generator`) Actor Name Generator is a fast, lightweight Apify actor that generates realistic first names, last names, or full names based on gender and country of origin. It supports 59 countries worldwide and is built for high performance, flexibility, and reliable large-scale name generation. - **URL**: https://apify.com/datavault/name-generator.md - **Developed by:** [Datavault](https://apify.com/datavault) (community) - **Categories:** Automation, Other - **Stats:** 11 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 1,000 name generations This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Name Generator High-performance name generator for Apify. This actor generates realistic first and last names based on gender and country of origin. ### Features - **Fast & Lightweight**: Built for maximum speed and minimal resource usage. - **59 Countries Supported**: Realistic names from a wide range of global regions, including: - **North America**: US, Canada, Mexico, Costa Rica. - **Europe**: UK, Germany, France, Spain, Sweden, Finland, Norway, Denmark, Italy, Netherlands, Switzerland, Austria, Belgium, Portugal, Greece, Poland, Czech Republic, Hungary, Romania, Slovakia, Slovenia, Croatia, Estonia, Albania, Bosnia and Herzegovina, Bulgaria. - **Asia**: China, Japan, Korea, India, Vietnam, Indonesia, Pakistan, Bangladesh, Nepal. - **Middle East / Eurasia**: Russia, Turkey, Ukraine, Israel, Saudi Arabia, Iran, Egypt, Morocco, Tunisia, Azerbaijan, Armenia, Georgia, Kyrgyz Republic. - **South America**: Brazil, Argentina, Colombia. - **Oceania**: Australia, New Zealand. - **Africa**: Nigeria. - **Gender Specific**: Generate names for males, females, or both. - **Flexible Modes**: Generate only first names, only last names, or full names. ### Input Parameters - `count`: (Integer) Number of names to generate. - `gender`: (String) "male", "female", or "any". - `country`: (String) "US", "UK", "CA", "SE", "DE", "FR", "ES", "FI", "RU". - `mode`: (String) "firstName", "lastName", or "both". ### Output The actor outputs a dataset where each item represents a generated name: - `firstName`: The generated first name (if requested). - `lastName`: The generated last name (if requested). - `fullName`: The full name (if both are requested). - `gender`: The gender of the name. - `country`: The country of origin. #### Sample Input ```json { "count": 10, "gender": "any", "country": "US", "mode": "both" } ```` # Actor input Schema ## `count` (type: `integer`): How many names to generate. ## `gender` (type: `string`): Gender for the first names. ## `country` (type: `string`): The country origin for the names. ## `mode` (type: `string`): Specify if you want first name, last name or both. ## Actor input object example ```json { "count": 10, "gender": "any", "country": "any", "mode": "both" } ``` # Actor output Schema ## `results` (type: `string`): The list of generated names. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("datavault/name-generator").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 = {} # Run the Actor and wait for it to finish run = client.actor("datavault/name-generator").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 '{}' | apify call datavault/name-generator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=datavault/name-generator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Name Generator", "description": "Name Generator is a fast, lightweight Apify actor that generates realistic first names, last names, or full names based on gender and country of origin. It supports 59 countries worldwide and is built for high performance, flexibility, and reliable large-scale name generation.", "version": "1.0", "x-build-id": "PwMZZnRZaqvLUoTAD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/datavault~name-generator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-datavault-name-generator", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/datavault~name-generator/runs": { "post": { "operationId": "runs-sync-datavault-name-generator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/datavault~name-generator/run-sync": { "post": { "operationId": "run-sync-datavault-name-generator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "count" ], "properties": { "count": { "title": "Number of names", "minimum": 1, "type": "integer", "description": "How many names to generate.", "default": 10 }, "gender": { "title": "Gender", "enum": [ "male", "female", "any" ], "type": "string", "description": "Gender for the first names.", "default": "any" }, "country": { "title": "Country Origin", "enum": [ "any", "US", "UK", "CA", "SE", "DE", "FR", "ES", "FI", "RU", "AR", "AU", "AT", "BE", "BR", "CN", "CO", "CR", "HR", "CZ", "DK", "EG", "EE", "GE", "GR", "HU", "IN", "ID", "IR", "IE", "IL", "IT", "JP", "KR", "KG", "MX", "MA", "NP", "NL", "NZ", "NG", "NO", "PK", "PL", "PT", "RO", "SA", "SK", "SI", "CH", "TN", "TR", "UA", "VN", "AL", "AM", "AZ", "BD", "BA", "BG" ], "type": "string", "description": "The country origin for the names.", "default": "any" }, "mode": { "title": "Name Mode", "enum": [ "firstName", "lastName", "both" ], "type": "string", "description": "Specify if you want first name, last name or both.", "default": "both" } } }, "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 } } } } } } } } } } ```