# NYC Landlord Registry Lead List — HPD Portfolio Contacts (`malonestar/nyc-landlord-registry-lead-list`) Actor Bulk NYC landlord & managing-agent contact lead lists from HPD building registrations. Killer filter: portfolio size — target owners of 5-50 Bronx buildings. Rolls up buildings per contact with business address, boroughs, ZIPs & samples. For prop-mgmt, insurance, lender & proptech sales. - **URL**: https://apify.com/malonestar/nyc-landlord-registry-lead-list.md - **Developed by:** [Kyle Maloney](https://apify.com/malonestar) (community) - **Categories:** Real estate, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $8.25 / 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. 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 ## NYC Landlord Registry Lead List — HPD Portfolio Contacts Build **bulk landlord and managing-agent contact lead lists** from New York City's legally mandated HPD (Housing Preservation & Development) registration data — with the one filter no flat data dump gives you: **portfolio size per landlord**. Ask for "owners of 5–50 Bronx buildings" and get one clean lead record per unique contact, with their filed business address and a rollup of every building they're registered on. Every residential building with 3+ units (and many 1–2 unit non-owner-occupied buildings) in NYC **must** register annually with HPD and name an owner, head officer, and managing agent. That makes this the most complete, legally mandated landlord contact registry in the United States — refreshed continuously on NYC Open Data. ### Who it's for - **Property-management companies** prospecting owners in a target borough / portfolio band - **Insurance brokers** (landlord policies, umbrella, builders risk) building call lists - **Lenders & mortgage brokers** targeting multi-building owners for refi outreach - **Contractors, roofers, boiler/elevator service companies** selling to building operators - **Proptech sales teams** who need decision-maker (HeadOfficer / Agent) leads, not LLC shells - **Real-estate investors & brokers** mapping who actually controls a neighborhood ### What it does (the transform) 1. Pulls **HPD Multiple Dwelling Registrations** for your borough/ZIP (dataset `tesw-yqqr`). 2. Filters to **current registrations only** — registration end date on/after the dataset's own latest filing date (anchored to the data, not the wall clock; NYC registrations run in annual cycles ending September 1). Set `includeExpired: true` to keep lapsed registrations too. 3. Pulls the matching **HPD Registration Contacts** (dataset `feu5-w2e2`) in batched SoQL `IN (...)` queries, joined on `registrationid`. 4. **Groups by normalized contact identity** — corporation name (case/punctuation normalized) or person first+last name, plus filed business address — so the same management company across 40 buildings becomes ONE lead with `buildings_count: 40`. 5. Applies your lead filters: contact types, min/max portfolio size, entities only. 6. Outputs leads sorted by portfolio size (largest first), capped at `maxResults`. ### Example input ```json { "borough": "BRONX", "contactTypes": ["HeadOfficer", "Agent"], "minPortfolioBuildings": 5, "maxPortfolioBuildings": 50, "entityOnly": false, "maxResults": 500 } ```` ### Output fields | Field | Description | | --- | --- | | `contact_name` | Person name (falls back to corporation for pure entity records) | | `corporation` | Corporation/LLC name as filed, or null for individuals | | `contact_type` | Most frequent role: HeadOfficer, Agent, CorporateOwner, IndividualOwner, Officer, SiteManager... | | `contact_types` | All roles this identity appears under | | `business_address` / `business_city` / `business_state` / `business_zip` | Filed business address | | `buildings_count` | **Portfolio size** — distinct registered buildings linked to this contact in the scanned area | | `boroughs` / `zips` | Where the portfolio's buildings are | | `sample_buildings` | Up to 5 buildings as "housenumber streetname, borough" | | `registration_ids_count` | Distinct HPD registrations this contact appears on | | `is_entity` | true = corporation/LLC, false = individual person | | `source_url` | NYC Open Data source dataset | ### Use as an MCP tool This actor is callable by AI agents (Claude, Cursor, custom agents) via `mcp.apify.com` — the described input schema and field-level output docs make it a clean chainable tool for "find me NYC landlord leads" workflows. ### FAQ **How do I get a list of NYC landlords by portfolio size?** Set `minPortfolioBuildings` / `maxPortfolioBuildings` (e.g. 5–50) and a borough. Portfolio size is computed within the scanned area, so a Bronx run counts Bronx buildings. **Is this data legal to use for outreach?** The addresses are **business addresses** filed under NYC Housing Maintenance Code §27-2097, published as public open data by the City of New York precisely so the public can identify who is responsible for a building. No phone numbers or emails are in the source; this actor republishes only what the city publishes. **Which contact type should I target?** `HeadOfficer` (the decision-maker behind the owning entity) and `Agent` (the managing agent who buys services day-to-day) are the highest-value roles. `CorporateOwner` rows give you the owning LLC itself. **Does it include expired registrations?** No — by default only current-cycle registrations (end date on/after the dataset's latest filing date). Set `includeExpired: true` to include lapsed ones, e.g. to prospect owners who fell out of compliance. **Can I run it city-wide?** Yes — leave `borough` empty. Expect a much longer run (~165k current registrations across all five boroughs); borough-by-borough runs are faster and cheaper. **What about new-landlord alerts?** A delta mode (only contacts on registrations filed since your last run) is planned for v1.1. ### Pricing Pay-per-result: you're charged only for the lead records actually pushed to the dataset. Runs that match nothing cost only the minimal actor start. ### Data sources - [HPD Multiple Dwelling Registrations (`tesw-yqqr`)](https://data.cityofnewyork.us/Housing-Development/Multiple-Dwelling-Registrations/tesw-yqqr) - [HPD Registration Contacts (`feu5-w2e2`)](https://data.cityofnewyork.us/Housing-Development/Registration-Contacts/feu5-w2e2) Both are keyless, public NYC Open Data (Socrata) endpoints maintained by the NYC Department of Housing Preservation & Development. ### Related actors — the NYC investor shelf | Actor | What it adds | |---|---| | [NYC Distressed Property Leads](https://apify.com/malonestar/distressed-property-signal-stacker) | Which of those buildings are actually under pressure (violations, liens, evictions) | | [NYC ACRIS Deed Transfer Intel](https://apify.com/malonestar/acris-deed-transfer-intel) | Whether the owner has been buying or selling, with price and cash/LLC flags | | [Parcel Owner Lookup](https://apify.com/malonestar/parcel-owner-lookup) | Address → owner of record for one-off checks | Typical play: build a portfolio-banded contact list here → screen those BBLs for distress → time the outreach against recent ACRIS activity. # Actor input Schema ## `borough` (type: `string`): Limit leads to landlords/agents of buildings in one NYC borough. Leave empty for all five boroughs (city-wide runs fetch far more data and take longer). ## `zip` (type: `string`): Optional 5-digit ZIP code of the BUILDINGS (not the contact's business address). Narrows the portfolio scan to buildings in this ZIP. ## `contactTypes` (type: `array`): Which HPD registration contact roles to return. Common values: HeadOfficer, Agent, CorporateOwner, IndividualOwner, Officer, SiteManager. Leave empty for all types. HeadOfficer + Agent are the highest-value decision-maker leads. ## `minPortfolioBuildings` (type: `integer`): Only return contacts linked to at least this many distinct buildings. The killer filter: set 5 to skip mom-and-pop owners, e.g. 'owners of 5-50 Bronx buildings'. ## `maxPortfolioBuildings` (type: `integer`): Only return contacts linked to at most this many distinct buildings. Use with the minimum to target a portfolio band (e.g. 5-50). Leave empty for no upper bound. ## `entityOnly` (type: `boolean`): When true, only return corporate/LLC contacts (records with a corporation name) and drop individual-person leads. ## `includeExpired` (type: `boolean`): By default only CURRENT registrations are scanned (registration end date on/after the dataset's own latest filing date). Set true to also include lapsed/expired registrations. ## `maxResults` (type: `integer`): Maximum number of lead records (one per unique landlord/agent contact) to push to the dataset. Leads are sorted by portfolio size, largest first, before the cap is applied. ## Actor input object example ```json { "borough": "BRONX", "contactTypes": [ "HeadOfficer", "Agent" ], "minPortfolioBuildings": 1, "entityOnly": false, "includeExpired": false, "maxResults": 200 } ``` # Actor output Schema ## `results` (type: `string`): The default dataset of landlord/agent contact leads. # 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 = { "borough": "BRONX", "contactTypes": [ "HeadOfficer", "Agent" ], "minPortfolioBuildings": 1, "maxResults": 200 }; // Run the Actor and wait for it to finish const run = await client.actor("malonestar/nyc-landlord-registry-lead-list").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 = { "borough": "BRONX", "contactTypes": [ "HeadOfficer", "Agent", ], "minPortfolioBuildings": 1, "maxResults": 200, } # Run the Actor and wait for it to finish run = client.actor("malonestar/nyc-landlord-registry-lead-list").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 '{ "borough": "BRONX", "contactTypes": [ "HeadOfficer", "Agent" ], "minPortfolioBuildings": 1, "maxResults": 200 }' | apify call malonestar/nyc-landlord-registry-lead-list --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=malonestar/nyc-landlord-registry-lead-list", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NYC Landlord Registry Lead List — HPD Portfolio Contacts", "description": "Bulk NYC landlord & managing-agent contact lead lists from HPD building registrations. Killer filter: portfolio size — target owners of 5-50 Bronx buildings. Rolls up buildings per contact with business address, boroughs, ZIPs & samples. For prop-mgmt, insurance, lender & proptech sales.", "version": "1.0", "x-build-id": "thRCrDDoB5uy3pfO0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/malonestar~nyc-landlord-registry-lead-list/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-malonestar-nyc-landlord-registry-lead-list", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/malonestar~nyc-landlord-registry-lead-list/runs": { "post": { "operationId": "runs-sync-malonestar-nyc-landlord-registry-lead-list", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/malonestar~nyc-landlord-registry-lead-list/run-sync": { "post": { "operationId": "run-sync-malonestar-nyc-landlord-registry-lead-list", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "borough": { "title": "Borough", "enum": [ "", "MANHATTAN", "BRONX", "BROOKLYN", "QUEENS", "STATEN ISLAND" ], "type": "string", "description": "Limit leads to landlords/agents of buildings in one NYC borough. Leave empty for all five boroughs (city-wide runs fetch far more data and take longer).", "default": "BRONX" }, "zip": { "title": "Building ZIP code", "type": "string", "description": "Optional 5-digit ZIP code of the BUILDINGS (not the contact's business address). Narrows the portfolio scan to buildings in this ZIP." }, "contactTypes": { "title": "Contact types", "type": "array", "description": "Which HPD registration contact roles to return. Common values: HeadOfficer, Agent, CorporateOwner, IndividualOwner, Officer, SiteManager. Leave empty for all types. HeadOfficer + Agent are the highest-value decision-maker leads.", "default": [ "HeadOfficer", "Agent" ], "items": { "type": "string" } }, "minPortfolioBuildings": { "title": "Min portfolio size (buildings)", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Only return contacts linked to at least this many distinct buildings. The killer filter: set 5 to skip mom-and-pop owners, e.g. 'owners of 5-50 Bronx buildings'.", "default": 1 }, "maxPortfolioBuildings": { "title": "Max portfolio size (buildings)", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Only return contacts linked to at most this many distinct buildings. Use with the minimum to target a portfolio band (e.g. 5-50). Leave empty for no upper bound." }, "entityOnly": { "title": "Entities only", "type": "boolean", "description": "When true, only return corporate/LLC contacts (records with a corporation name) and drop individual-person leads.", "default": false }, "includeExpired": { "title": "Include expired registrations", "type": "boolean", "description": "By default only CURRENT registrations are scanned (registration end date on/after the dataset's own latest filing date). Set true to also include lapsed/expired registrations.", "default": false }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of lead records (one per unique landlord/agent contact) to push to the dataset. Leads are sorted by portfolio size, largest first, before the cap is applied.", "default": 500 } } }, "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 } } } } } } } } } } ```