# KW Agents Database (`agenscrape/kw-agents-database`) Actor Get instant access to Keller Williams real estate agent data by state. Extract contact info, social media profiles, and professional details. Fast, cost-effective, and no scraping overhead. Perfect for lead generation and market research. - **URL**: https://apify.com/agenscrape/kw-agents-database.md - **Developed by:** [Agenscrape](https://apify.com/agenscrape) (community) - **Categories:** Lead generation, AI, Automation - **Stats:** 15 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 1,000 results 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 ## Keller Williams Agents Database Access comprehensive Keller Williams real estate agent data across all US states. Get agent profiles including contact information, social media links, and professional details instantly. ### Features - πŸ—ΊοΈ **Search by State** - Get agents from any US state - πŸ“Š **Rich Data** - Complete agent profiles with contact info and social media - ⚑ **Fast Results** - Instant data retrieval - πŸ’° **Cost-Effective** - No scraping overhead - πŸ“ˆ **Scalable** - Handle up to 10,000 results per run ### What Data You Get Each agent profile includes: - Full name and professional title - Email address and phone number - Office location (city and state) - Market center information - Languages spoken - License number - Luxury agent status - Social media profiles (Facebook, LinkedIn, Twitter, Instagram, YouTube) - Professional photo ### Input Parameters | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `state` | String | Yes | US state code (2 letters, e.g., "CA", "NY", "TX") | | `maxResults` | Integer | No | Maximum number of agents to return (default: 100, max: 10,000) | ### Example Input ```json { "state": "CA", "maxResults": 100 } ```` ### Example Output ```json { "id": "19", "firstName": "John", "lastName": "Cook", "fullName": "John R Cook", "photo": "https://storage.googleapis.com/...", "city": "Cumming", "state": "GA", "languages": ["English"], "email": "jcook@kw.com", "license": "263822", "mobilePhone": "+16785248573", "isLuxuryAgent": true, "marketingTitle": "Realtor", "marketCenter_name": "Keller Williams Realty Community Partners", "facebook": "https://facebook.com/lookwithcook", "linkedin": "https://linkedin.com/in/john-cook-4590072/", "twitter": "https://twitter.com/lookwithcook", "youtube": "", "instagram": "" } ``` ### Use Cases - **Lead Generation** - Build targeted real estate agent contact lists - **Market Research** - Analyze agent distribution and competition - **Network Building** - Connect with agents in specific markets - **CRM Integration** - Populate your database with agent contacts - **Competitor Analysis** - Study market presence and agent profiles ### Quick Start 1. Enter the state code (e.g., "CA" for California) 2. Set the maximum number of results you need 3. Run the actor 4. Download your data in JSON, CSV, or Excel format ### Tips - Use standard 2-letter US state codes (e.g., CA, NY, TX, FL) - Start with smaller `maxResults` values to preview data - All states are supported - from populous states like California to smaller markets - Results are ready instantly - no waiting required # Actor input Schema ## `state` (type: `string`): US state code (e.g., CA, NY, TX, FL) ## `maxResults` (type: `integer`): Maximum number of agents to return (default: 100) ## Actor input object example ```json { "state": "CA", "maxResults": 100 } ``` # 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 = { "state": "CA", "maxResults": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("agenscrape/kw-agents-database").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "state": "CA", "maxResults": 100, } # Run the Actor and wait for it to finish run = client.actor("agenscrape/kw-agents-database").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "state": "CA", "maxResults": 100 }' | apify call agenscrape/kw-agents-database --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agenscrape/kw-agents-database", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "KW Agents Database", "description": "Get instant access to Keller Williams real estate agent data by state. Extract contact info, social media profiles, and professional details. Fast, cost-effective, and no scraping overhead. Perfect for lead generation\n and market research.", "version": "1.0", "x-build-id": "jDmK5LkEc2jK9clfR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agenscrape~kw-agents-database/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agenscrape-kw-agents-database", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/agenscrape~kw-agents-database/runs": { "post": { "operationId": "runs-sync-agenscrape-kw-agents-database", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/agenscrape~kw-agents-database/run-sync": { "post": { "operationId": "run-sync-agenscrape-kw-agents-database", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "state" ], "properties": { "state": { "title": "State", "pattern": "^[A-Z]{2}$", "minLength": 2, "maxLength": 2, "type": "string", "description": "US state code (e.g., CA, NY, TX, FL)" }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of agents to return (default: 100)", "default": 100 } } }, "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 } } } } } } } } } } ```