# Property Violations Registry — Multi-City Code Data (`civicdataforge/property-violations`) Actor Official city building code-enforcement / property-violation records (not permits) in one unified schema across Chicago, NYC, San Francisco and Austin. Violation ID, address, type, status, issued date, description. Distress signals for RE investors, insurers, contractors, title/lending. - **URL**: https://apify.com/civicdataforge/property-violations.md - **Developed by:** [Bryan](https://apify.com/civicdataforge) (community) - **Categories:** Real estate, Lead generation, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Property Violations Registry — Multi-City Code Enforcement Official **city building code-enforcement / property-violation** records (NOT permits) from government open-data portals, normalized into **one schema** across cities. Open violations are a leading distress signal for RE investors/wholesalers, insurers, contractors (repair leads), and title/lending underwriters. ### Cities (all endpoints data-layer verified 2026-07-12) | City | Source dataset | Rows | |------|----------------|------| | Chicago, IL | Building Violations (`22u3-xenr`) | ~2.0M | | New York City, NY | HPD Housing Maintenance Code Violations (`wvxf-dwi5`) | ~11M | | San Francisco, CA | DBI Housing/Building Complaints (`gm2e-bten`) | ~333k | | Austin, TX | Code Enforcement Cases (`6wtj-zbtb`) | ~83k | All are open Socrata SODA JSON endpoints — no login, no CAPTCHA. ### Unified schema ```` { violation\_id, address, type, status, issued\_date, description, city, state, raw } ```` `raw` preserves the full source row so no field is ever lost. ### Input - `cities` — any of `chicago`, `nyc`, `san_francisco`, `austin` (default: all). - `status` — `all` or `open` (open/active only — the distress signal). - `maxRecordsPerCity` — cap per city, **newest first** (empty = full registry). ### Proof `node test_smoke.mjs` pulls real rows from every city and asserts unified schema, correct city tagging, real content (id + address + date), and a working open-only filter. No account, no cost. Adding a city = one adapter in `src/cities.js` (endpoint + `normalize` + `isOpen`). # Actor input Schema ## `cities` (type: `array`): Which city building code-enforcement / property-violation registries to pull. ## `status` (type: `string`): Return all violations, or only currently OPEN/active ones (the distress signal buyers usually want). ## `maxRecordsPerCity` (type: `integer`): Cap records per city, newest first (leave empty to pull the full registry). ## Actor input object example ```json { "cities": [ "chicago", "nyc", "san_francisco", "austin" ], "status": "all" } ```` # 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("civicdataforge/property-violations").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("civicdataforge/property-violations").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 civicdataforge/property-violations --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=civicdataforge/property-violations", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Property Violations Registry — Multi-City Code Data", "description": "Official city building code-enforcement / property-violation records (not permits) in one unified schema across Chicago, NYC, San Francisco and Austin. Violation ID, address, type, status, issued date, description. Distress signals for RE investors, insurers, contractors, title/lending.", "version": "0.1", "x-build-id": "E5m4bK8bIzwZsB69M" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/civicdataforge~property-violations/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-civicdataforge-property-violations", "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/civicdataforge~property-violations/runs": { "post": { "operationId": "runs-sync-civicdataforge-property-violations", "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/civicdataforge~property-violations/run-sync": { "post": { "operationId": "run-sync-civicdataforge-property-violations", "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": { "cities": { "title": "Cities", "type": "array", "description": "Which city building code-enforcement / property-violation registries to pull.", "items": { "type": "string", "enum": [ "chicago", "nyc", "san_francisco", "austin" ], "enumTitles": [ "Chicago, IL", "New York City, NY", "San Francisco, CA", "Austin, TX" ] }, "default": [ "chicago", "nyc", "san_francisco", "austin" ] }, "status": { "title": "Violation status filter", "enum": [ "all", "open" ], "type": "string", "description": "Return all violations, or only currently OPEN/active ones (the distress signal buyers usually want).", "default": "all" }, "maxRecordsPerCity": { "title": "Max records per city", "minimum": 1, "type": "integer", "description": "Cap records per city, newest first (leave empty to pull the full registry)." } } }, "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 } } } } } } } } } } ```