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?

• 🏢 Brokerages can verify agent status.
• 🧾 Compliance teams can document license checks.
• 📈 Lead vendors can build clean New York real estate professional datasets.
• 🏠 Proptech teams can enrich broker and office records.
• 🕵️ 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:

{
  "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

$claude mcp add apify https://mcp.apify.com/?tools=automation-lab/new-york-eaccessny-real-estate-license-scraper

Claude Desktop MCP JSON config

{
  "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."