# NYC Building Permit Lead Generator (`enfex/nyc-building-permit-lead-generator`) Actor Create trade-focused construction lead feeds from NYC DOB NOW approved permits while excluding owner and individual applicant data. - **URL**: https://apify.com/enfex/nyc-building-permit-lead-generator.md - **Developed by:** [Marcel K](https://apify.com/enfex) (community) - **Categories:** Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $30.00 / 1,000 qualified permit leads 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/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 Building Permit Lead Generator > Create trade-focused construction lead feeds from NYC DOB NOW approved permits while excluding owner and individual applicant data. ### What this Actor does Convert issued NYC construction permits into privacy-minimized trade leads for solar, roofing, HVAC, plumbing, demolition, and general contractors. The Actor uses the official NYC Open Data Socrata API and excludes owner names and individual applicant fields. ### Typical use cases - Contractor territory monitoring - Solar, roofing, HVAC, and plumbing lead discovery - Construction market research - Permit-volume and job-value analysis ### Quick start ```json { "boroughs": [ "MANHATTAN", "BROOKLYN" ], "workTypes": [ "GC", "SOLAR" ], "issuedSince": "2026-07-01", "minEstimatedJobCost": 10000, "maxResults": 50 } ```` ### Input | Field | Type | Required | Description | |---|---|---:|---| | `boroughs` | array | No | Optional NYC borough filter. Empty means all boroughs. | | `workTypes` | array | No | Optional exact DOB work-type values, for example GC, PL, or SOLAR. | | `issuedSince` | string | No | Optional ISO date YYYY-MM-DD. | | `minEstimatedJobCost` | number | No | Optional minimum project value in USD. | | `maxResults` | integer | No | Hard run cap to control compute and charges. | ### Output Results are written to the default Apify Dataset. Example: ```json { "permitId": "M00012345", "status": "ISSUED", "borough": "MANHATTAN", "address": "10 BROADWAY", "workType": "SOLAR", "jobDescription": "Install rooftop solar", "estimatedJobCost": 25000, "issuedDate": "2026-07-01T00:00:00.000", "expirationDate": "2027-07-01T00:00:00.000", "latitude": 40.1, "longitude": -73.1, "permitteeBusinessName": "Example Contracting LLC", "permitteeLicense": "123456", "leadCategory": "solar", "source": "NYC Open Data — DOB NOW Approved Permits", "sourceUrl": "https://data.cityofnewyork.us/resource/rbx6-tga4.json", "retrievedAt": "2026-07-13T12:00:00.000Z" } ``` ### Pricing draft **Pay per event:** `$qualified-permit` — **$0.030 USD** per event. One normalized issued NYC DOB NOW permit returned after the configured filters. The Actor checks Apify's maximum-total-charge allowance before processing chargeable units and stops when the allowance is exhausted. Apify compute and any customer-owned external API usage remain separate. ### Data source and compliance Official NYC Open Data dataset “DOB NOW: Build – Approved Permits” (`rbx6-tga4`). City data is provided without completeness or fitness guarantees. Owner and individual applicant fields are intentionally not selected. - Use the data only where you have a lawful basis and respect source terms. - Do not use the Actor for surveillance, unlawful discrimination, credential abuse, or anti-bot bypass. - Records include source URLs and retrieval timestamps where applicable. - Outputs are informational and are not legal, financial, medical, or procurement advice. ### Reliability and limits - Strict input and result caps prevent accidental high-cost runs. - External sources can change, throttle, or return incomplete data. - Partial upstream outages cause an explicit run failure rather than fabricated results. - Version `0.1` is a private release candidate. Input and output contracts may change before a public launch. ### Support For problems, include the Actor run ID, a redacted input, expected behavior, and the observed output through the Actor's Apify support channel. Never include provider keys or other credentials. ### Privacy The Actor does not intentionally persist secrets in datasets or logs. Apify platform storage and retention settings still apply to inputs, datasets, and run logs. Review and delete stored runs according to your own retention policy. # Actor input Schema ## `boroughs` (type: `array`): Optional NYC borough filter. Empty means all boroughs. ## `workTypes` (type: `array`): Optional exact DOB work-type values, for example GC, PL, or SOLAR. ## `issuedSince` (type: `string`): Optional ISO date YYYY-MM-DD. Exact calendar validity is enforced at runtime. ## `minEstimatedJobCost` (type: `number`): Optional minimum project value in USD. ## `maxResults` (type: `integer`): Hard run cap to control compute and charges. ## Actor input object example ```json { "minEstimatedJobCost": 0, "maxResults": 100 } ``` # Actor output Schema ## `results` (type: `string`): Default dataset items produced by the Actor. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("enfex/nyc-building-permit-lead-generator").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 = {} # Run the Actor and wait for it to finish run = client.actor("enfex/nyc-building-permit-lead-generator").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 '{}' | apify call enfex/nyc-building-permit-lead-generator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=enfex/nyc-building-permit-lead-generator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NYC Building Permit Lead Generator", "description": "Create trade-focused construction lead feeds from NYC DOB NOW approved permits while excluding owner and individual applicant data.", "version": "0.1", "x-build-id": "Ksg3sdyo6Va32vWy2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/enfex~nyc-building-permit-lead-generator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-enfex-nyc-building-permit-lead-generator", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/enfex~nyc-building-permit-lead-generator/runs": { "post": { "operationId": "runs-sync-enfex-nyc-building-permit-lead-generator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/enfex~nyc-building-permit-lead-generator/run-sync": { "post": { "operationId": "run-sync-enfex-nyc-building-permit-lead-generator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "boroughs": { "title": "Boroughs", "uniqueItems": true, "type": "array", "description": "Optional NYC borough filter. Empty means all boroughs.", "items": { "type": "string", "enum": [ "MANHATTAN", "BRONX", "BROOKLYN", "QUEENS", "STATEN ISLAND" ] } }, "workTypes": { "title": "Work types", "maxItems": 20, "type": "array", "description": "Optional exact DOB work-type values, for example GC, PL, or SOLAR.", "items": { "type": "string" } }, "issuedSince": { "title": "Issued since", "pattern": "^\\d{4}-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$", "minLength": 10, "maxLength": 10, "type": "string", "description": "Optional ISO date YYYY-MM-DD. Exact calendar validity is enforced at runtime." }, "minEstimatedJobCost": { "title": "Minimum estimated job cost", "minimum": 0, "type": "number", "description": "Optional minimum project value in USD.", "default": 0 }, "maxResults": { "title": "Maximum permits", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Hard run cap to control compute and charges.", "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 } } } } } } } } } } ```