# New York eAccessNY Real Estate License Scraper (`automation-lab/new-york-eaccessny-real-estate-license-scraper`) Actor Search public NY eAccessNY real estate licenses by person or organization; export license status, expiry, address, and related parties. - **URL**: https://apify.com/automation-lab/new-york-eaccessny-real-estate-license-scraper.md - **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community) - **Categories:** Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## New York eAccessNY Real Estate License Scraper Export public New York Department of State eAccessNY real estate license lookup results as structured Apify datasets. ### What does this New York eAccessNY scraper do? - This actor searches the public New York Department of State eAccessNY real estate license lookup and exports structured license records. - It supports individual licensee searches and organization searches for brokerages, principal offices, branch offices, real estate schools, and related public entities. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### Who is this New York real estate license scraper for? - ๐Ÿข Brokerages can verify agent status. - ๐Ÿงพ Compliance teams can document license checks. - ๐Ÿ“ˆ Lead vendors can build clean New York real estate professional datasets. - ๐Ÿ  Proptech teams can enrich broker and office records. - ๐Ÿ•ต๏ธ Data teams can monitor status and expiry changes from the public source. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### Why use this eAccessNY extractor? - The public website is designed for manual lookups, not repeatable data workflows. - This actor keeps the form session, paginates result pages, opens license detail pages when requested, and saves export-ready JSON, CSV, Excel, XML, or RSS from Apify datasets. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### What data can you extract? - The actor extracts the licensee or organization name, license number, license type, license status, expiry date, detail URL, source URL, scrape timestamp, and optional detail-page address and related-party text. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### How much does it cost to scrape New York real estate license records? - The actor uses pay-per-event pricing. - There is a small start charge and a per-result charge. - You control cost with maxResults, maxPages, pageSize, and includeDetails. - Start with a small run, inspect the output, then scale up. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### How to search individual New York licensees - Choose individual mode, enter firstName and lastName with at least two characters each, choose your result limit, and run the actor. - Example: John Smith with maxResults 10. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### How to search New York real estate organizations - Choose organization mode and enter at least four characters of the brokerage, office, school, or organization name. - Example: Real, Keller, Douglas, Corcoran, or Compass. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### Input configuration - Use searchMode for a single lookup or provide the searches array for batch runs. - maxResults limits total saved records. - maxPages limits pagination depth per search. - includeDetails controls whether detail pages are opened. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### Output example - Each dataset item is one public eAccessNY license result with normalized fields. - Detail fields are null when the source does not show them or includeDetails is false. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### Tips for better New York license searches - Use exact last names for individuals. - For organizations, begin with distinctive words rather than generic suffixes like LLC. - Keep includeDetails on when you need addresses or related broker/office context. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### Integrations - Send records to Google Sheets for compliance review, Airtable for lead operations, BigQuery for analytics, or a CRM enrichment workflow using Apify integrations and webhooks. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### API usage - You can run this actor from Apify Console, API, CLI, Node.js, Python, or cURL. - Use actor ID automation-lab/new-york-eaccessny-real-estate-license-scraper. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### Node.js API example - Use apify-client, call actor("automation-lab/new-york-eaccessny-real-estate-license-scraper").call({ searchMode: "organization", organizationName: "Real", maxResults: 100 }). #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### Python API example - Use apify_client.ApifyClient and client.actor("automation-lab/new-york-eaccessny-real-estate-license-scraper").call(run_input={"searchMode":"individual","firstName":"John","lastName":"Smith"}). #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### cURL API example - POST JSON input to https://api.apify.com/v2/acts/automation-lab~new-york-eaccessny-real-estate-license-scraper/runs with your Apify token, then download dataset items. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### MCP usage with Claude - Connect Apify MCP at https://mcp.apify.com/?tools=automation-lab/new-york-eaccessny-real-estate-license-scraper and ask Claude to run New York license checks, summarize active records, or compare expiry dates. - Claude Code CLI add command: `claude mcp add apify https://mcp.apify.com/?tools=automation-lab/new-york-eaccessny-real-estate-license-scraper`. - JSON config block for Claude Desktop: ```json { "mcpServers": { "apify": { "url": "https://mcp.apify.com/?tools=automation-lab/new-york-eaccessny-real-estate-license-scraper" } } } ```` - Example prompts: "Run the New York eAccessNY scraper for organization name Real" and "Look up John Smith and summarize license status, expiry, and detail URL." #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### Example MCP prompts - Try: "Find current eAccessNY organization records for Real and summarize license types." Or: "Search John Smith in New York eAccessNY and return license number, status, and expiry.". #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### Legality and responsible use - This actor extracts publicly available government license information. - Use it for lawful compliance, research, and business workflows. - Respect Apify terms, applicable privacy rules, and source-site availability. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### Troubleshooting - If you get no results, check that names meet the source minimum lengths. - If organization searches return too many matches, reduce maxResults or use a more specific organization name. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### Related scrapers - Related automation-lab actors include https://apify.com/automation-lab/georgia-real-estate-license-lookup-scraper and other public-license or government-data scrapers as they become available. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### FAQ - Can it scrape all New York licenses at once? No, the public source is a name-search interface, so provide names or organization terms. - Does it require login? No. - Does it use a browser? No, it uses efficient HTTP requests. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### Data quality notes - The actor preserves source text for license type, status, expiry, address, and related parties. - Empty fields mean the public source did not show that value in the list or detail page. #### Practical checklist - Set a small `maxResults` for the first run. - Review the dataset fields before scaling. - Use exact names for compliance checks. - Export from the Apify dataset in your preferred format. ### Who is it for? - Compliance analysts checking New York real estate license status before onboarding agents. - Brokerages monitoring salespersons, branch offices, principal offices, and school records. - Lead generation teams enriching CRM records with public eAccessNY license numbers and expiry dates. - Proptech data teams building repeatable public-record pipelines from the New York Department of State source. ### MCP setup for Claude Code and Claude Desktop Use Apify MCP when you want an AI assistant to run this scraper and reason over the returned dataset. #### Claude Code MCP command ```bash claude mcp add apify https://mcp.apify.com/?tools=automation-lab/new-york-eaccessny-real-estate-license-scraper ``` #### Claude Desktop MCP JSON config ```json { "mcpServers": { "apify": { "url": "https://mcp.apify.com/?tools=automation-lab/new-york-eaccessny-real-estate-license-scraper" } } } ``` #### MCP prompts - "Run the New York eAccessNY scraper for organization name Real and summarize active license types." - "Look up John Smith in eAccessNY and return license number, status, expiry, and detail URL." - "Compare current and expiring New York brokerage records from this dataset and flag records for compliance review." # Actor input Schema ## `searchMode` (type: `string`): Choose whether to search an individual licensee or an organization / brokerage / school. ## `firstName` (type: `string`): For individual searches only. eAccessNY requires at least 2 characters. ## `lastName` (type: `string`): For individual searches only. eAccessNY requires at least 2 characters. ## `organizationName` (type: `string`): For organization searches only. eAccessNY requires at least 4 characters. ## `searches` (type: `array`): Optional list of individual or organization searches. When provided, these override the single-search fields above. ## `maxResults` (type: `integer`): Maximum license records to save across all searches. ## `maxPages` (type: `integer`): Maximum eAccessNY result pages to visit for each search. ## `pageSize` (type: `integer`): Number of results requested from eAccessNY per result page. ## `includeDetails` (type: `boolean`): Fetch each license detail page to enrich records with address and related-party information. ## Actor input object example ```json { "searchMode": "organization", "firstName": "John", "lastName": "Smith", "organizationName": "Real", "maxResults": 20, "maxPages": 4, "pageSize": 30, "includeDetails": true } ``` # Actor output Schema ## `overview` (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 = { "searchMode": "organization", "firstName": "John", "lastName": "Smith", "organizationName": "Real", "maxResults": 20, "maxPages": 4, "pageSize": 30, "includeDetails": true }; // Run the Actor and wait for it to finish const run = await client.actor("automation-lab/new-york-eaccessny-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(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "searchMode": "organization", "firstName": "John", "lastName": "Smith", "organizationName": "Real", "maxResults": 20, "maxPages": 4, "pageSize": 30, "includeDetails": True, } # Run the Actor and wait for it to finish run = client.actor("automation-lab/new-york-eaccessny-real-estate-license-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchMode": "organization", "firstName": "John", "lastName": "Smith", "organizationName": "Real", "maxResults": 20, "maxPages": 4, "pageSize": 30, "includeDetails": true }' | apify call automation-lab/new-york-eaccessny-real-estate-license-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-lab/new-york-eaccessny-real-estate-license-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "New York eAccessNY Real Estate License Scraper", "description": "Search public NY eAccessNY real estate licenses by person or organization; export license status, expiry, address, and related parties.", "version": "0.1", "x-build-id": "1PnojOuVlGsaJXVuR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~new-york-eaccessny-real-estate-license-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-new-york-eaccessny-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/automation-lab~new-york-eaccessny-real-estate-license-scraper/runs": { "post": { "operationId": "runs-sync-automation-lab-new-york-eaccessny-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/automation-lab~new-york-eaccessny-real-estate-license-scraper/run-sync": { "post": { "operationId": "run-sync-automation-lab-new-york-eaccessny-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": [ "searchMode" ], "properties": { "searchMode": { "title": "Search mode", "enum": [ "individual", "organization" ], "type": "string", "description": "Choose whether to search an individual licensee or an organization / brokerage / school.", "default": "organization" }, "firstName": { "title": "First name", "type": "string", "description": "For individual searches only. eAccessNY requires at least 2 characters." }, "lastName": { "title": "Last name", "type": "string", "description": "For individual searches only. eAccessNY requires at least 2 characters." }, "organizationName": { "title": "Organization name", "type": "string", "description": "For organization searches only. eAccessNY requires at least 4 characters." }, "searches": { "title": "Searches", "type": "array", "description": "Optional list of individual or organization searches. When provided, these override the single-search fields above.", "items": { "type": "object", "required": [ "searchMode" ], "properties": { "searchMode": { "title": "Search mode", "description": "individual or organization", "type": "string", "enum": [ "individual", "organization" ] }, "firstName": { "title": "First name", "description": "First name for individual searches", "type": "string" }, "lastName": { "title": "Last name", "description": "Last name for individual searches", "type": "string" }, "organizationName": { "title": "Organization name", "description": "Organization name for organization searches", "type": "string" } } } }, "maxResults": { "title": "Maximum records", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum license records to save across all searches.", "default": 20 }, "maxPages": { "title": "Maximum pages per search", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum eAccessNY result pages to visit for each search.", "default": 10 }, "pageSize": { "title": "Page size", "type": "integer", "description": "Number of results requested from eAccessNY per result page.", "default": 30 }, "includeDetails": { "title": "Open detail pages", "type": "boolean", "description": "Fetch each license detail page to enrich records with address and related-party information.", "default": true } } }, "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 } } } } } } } } } } ```