# ARELLO / State Real Estate License Scraper (`jungle_synthesizer/arello-state-real-estate-license-scraper`) Actor Scrape real-estate broker and agent license records from state commissions. Returns license number, type, status, expiration, brokerage name and address. Phase 1: CA, FL, NY, TX. For real-estate tech, iBuyers, mortgage SaaS, and E\&O underwriters. - **URL**: https://apify.com/jungle\_synthesizer/arello-state-real-estate-license-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation, Business, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## ARELLO / State Real Estate License Scraper Pulls real estate broker and agent license records directly from state regulatory commissions. Returns the fields that matter — name, license number, type, status, expiration, brokerage, and address — for each licensee. Phase 1 covers California (DRE), Florida (DBPR), New York (DOS eAccessNY), and Texas (TREC). You can run one state or all four in a single job. ### What It Scrapes Each record includes: | Field | Description | |-------|-------------| | `full_name` | Name as listed by the state commission | | `first_name` / `last_name` | Parsed from the full name | | `license_number` | License number (unique within state) | | `license_type` | Broker, Salesperson, Associate Broker, Corporate Broker | | `license_state` | Issuing state abbreviation | | `license_status` | Active, Inactive, Expired, Suspended, Revoked | | `license_issue_date` | Original issue date (YYYY-MM-DD) | | `license_expiration_date` | Expiration date (YYYY-MM-DD) | | `brokerage_name` | Brokerage or employer of record | | `business_address` | Street address | | `business_city` / `business_state` / `business_zip` | Location fields | | `phone` | Phone number (available where publicly listed) | | `email` | Email (available where publicly listed) | | `source_state_commission` | Which commission sourced the record | | `source_url` | Direct URL to the source record | ### Input ```json { "states": ["CA", "FL", "NY", "TX"], "lastName": "Smith", "licenseType": "broker", "licenseStatus": "active", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["BUYPROXIES94952"] } } ```` | Parameter | Type | Description | |-----------|------|-------------| | `states` | array | State codes to scrape. Options: CA, FL, NY, TX. Default: CA. | | `lastName` | string | Filter by last name. Leave blank for a full alphabetical sweep. | | `licenseType` | string | broker, salesperson, broker\_associate, or blank (all). | | `licenseStatus` | string | active, inactive, suspended, revoked, expired, or blank (all). | | `maxItems` | integer | Cap on records returned. 0 = unlimited. Default: 10. | | `proxyConfiguration` | object | Proxy settings. Residential proxy required for TX TREC. | ### Sources | State | Agency | Strategy | |-------|--------|----------| | California | CA DRE (Department of Real Estate) | HTML form search + detail pages | | Florida | FL DBPR (Dept of Business and Prof. Regulation) | Bulk CSV download from public records portal | | New York | NY DOS eAccessNY | Session-based form search | | Texas | TX TREC (Texas Real Estate Commission) | JSON API (requires residential proxy) | Florida's DBPR publishes a complete licensee CSV that's refreshed regularly. The scraper downloads it in full and filters locally — no interactive search needed. ### Pricing Priced per record ($0.002/record + $0.10/run). A 1,000-record run costs roughly $2.10. ### Use Cases - License verification before onboarding agents or partners - Building contact lists for real estate tech outreach (CRMs, MLS tools, E\&O insurance) - Compliance monitoring for brokerage management platforms - iBuyer and mortgage SaaS vendor qualification ### Notes - Texas TREC blocks datacenter IPs. Residential proxy (included in the default configuration) is required for TX runs. - NY searches require a minimum 2-character surname prefix due to eAccessNY's input validation. - FL DBPR's bulk CSV is ~114 MB. Expect a 60–90 second download on the first run; subsequent runs may benefit from Apify's caching layer. - `maxItems = 0` runs an uncapped alphabetical sweep. For FL, this means parsing the full 448K-row CSV against your filters. ### Need a Custom Build? Additional states, new fields, or specialized filtering — reach out through the actor support channel. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `states` (type: `array`): Two-letter state codes to scrape. Phase 1: CA, FL, NY, TX. ## `lastName` (type: `string`): Filter by last name. Leave empty for full alphabetical sweep. ## `licenseType` (type: `string`): Filter by license type. ## `licenseStatus` (type: `string`): Filter by license status. ## `maxItems` (type: `integer`): Maximum number of license records to scrape. 0 = unlimited. ## `proxyConfiguration` (type: `object`): Proxy settings. Residential proxy recommended for TX TREC. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "states": [ "CA" ], "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "BUYPROXIES94952" ] } } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "states": [ "CA" ], "lastName": "", "licenseType": "", "licenseStatus": "", "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "BUYPROXIES94952" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/arello-state-real-estate-license-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "states": ["CA"], "lastName": "", "licenseType": "", "licenseStatus": "", "maxItems": 10, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["BUYPROXIES94952"], }, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/arello-state-real-estate-license-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "states": [ "CA" ], "lastName": "", "licenseType": "", "licenseStatus": "", "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "BUYPROXIES94952" ] } }' | apify call jungle_synthesizer/arello-state-real-estate-license-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/arello-state-real-estate-license-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ARELLO / State Real Estate License Scraper", "description": "Scrape real-estate broker and agent license records from state commissions. Returns license number, type, status, expiration, brokerage name and address. Phase 1: CA, FL, NY, TX. For real-estate tech, iBuyers, mortgage SaaS, and E&O underwriters.", "version": "0.1", "x-build-id": "QnWe6U7T9jDaUclbS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~arello-state-real-estate-license-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-arello-state-real-estate-license-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~arello-state-real-estate-license-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-arello-state-real-estate-license-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~arello-state-real-estate-license-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-arello-state-real-estate-license-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "sp_intended_usage", "sp_improvement_suggestions" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "states": { "title": "States", "type": "array", "description": "Two-letter state codes to scrape. Phase 1: CA, FL, NY, TX.", "items": { "type": "string", "enum": [ "CA", "FL", "NY", "TX" ], "enumTitles": [ "California (DRE)", "Florida (DBPR)", "New York (DOS eAccessNY)", "Texas (TREC)" ] } }, "lastName": { "title": "Last Name Filter", "type": "string", "description": "Filter by last name. Leave empty for full alphabetical sweep." }, "licenseType": { "title": "License Type", "enum": [ "", "broker", "salesperson", "broker_associate" ], "type": "string", "description": "Filter by license type." }, "licenseStatus": { "title": "License Status Filter", "enum": [ "", "active", "inactive", "suspended", "revoked", "expired" ], "type": "string", "description": "Filter by license status." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of license records to scrape. 0 = unlimited.", "default": 10 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Residential proxy recommended for TX TREC." } } }, "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 } } } } } } } } } } ```