# Foreclosure & Distressed Property Leads — Official Registries (`vivar_bolivar/foreclosure-registry-scraper`) Actor Property-level foreclosure and distressed-property records from official government registries (LA, DC-metro Prince George's County, Cincinnati). Includes lender and property-manager contacts where published. Built for real-estate investors and wholesalers. - **URL**: https://apify.com/vivar\_bolivar/foreclosure-registry-scraper.md - **Developed by:** [Vivar Bolivar](https://apify.com/vivar_bolivar) (community) - **Categories:** Real estate, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 1,000 property record scrapeds 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.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 ## Foreclosure & Distressed Property Leads — Official Registries Get **property-level foreclosure and distressed-property records straight from official government registries**, normalized into one analysis-ready schema. Real-estate investors, wholesalers, and proptech teams use these registries to find distressed properties early — and unlike list brokers, this Actor queries the live government datasets on demand, so you see new registrations as soon as the city publishes them. **The standout source:** Los Angeles requires lenders to register every foreclosed property — including the **lender's name and phone number and the property-management company and its phone number**. That's a direct-contact lead list most brokers charge a premium for. ### Registries covered (v1) | Registry | What it contains | Contact info | Freshness | |---|---|---|---| | **Los Angeles, CA** — Registered Foreclosure Properties | Lender-registered foreclosures: address, APN, property type, **lender + phone, property manager + phone**, geocodes | ✅ 100% | City updates periodically (weeks) | | **Prince George's County, MD** (DC metro) — County Foreclosures | Foreclosure submissions: address, tax account, occupancy status, property description | — | Days | | **Cincinnati, OH** — Vacant & Foreclosed Property Registration | Foreclosure filings + vacancy registrations: status (e.g. "Foreclosure Filed — Still Occupied"), **precise geocodes**, city case-report URL | — | Daily | More registries are added on request — open an issue with the county/city you need. ### Input | Field | Type | Default | Description | |---|---|---|---| | `sources` | array | all 3 | Any of `la`, `pg_county_md`, `cincinnati` | | `registeredSince` | string | last 90 days | `YYYY-MM-DD`; only records registered/filed on or after this date | | `maxRecordsPerSource` | integer | 500 | Hard cap per registry, 1–5000 | ### Output One JSON object per property, identical schema across all registries: ```json { "record_id": "LA-2004022030-2026-01-06", "jurisdiction": "Los Angeles, CA", "state": "CA", "record_type": "registered_foreclosure", "status": "Registered", "registered_date": "2026-01-06", "address": "22235 W PARTHENIA ST", "city": "LOS ANGELES", "zip_code": "93063", "latitude": 34.2292, "longitude": -118.61208, "property_type": "Single Family", "parcel_id": "2004022030", "lender_name": "Carrington Mortgage Services", "lender_phone": "866-563-1100", "property_manager": "Greenfield Property LLC", "property_manager_phone": "866-563-1100", "source_dataset": "https://data.lacity.org/resource/5nzp-isg9", "source_record_url": null, "fetched_at": "2026-06-10T05:00:00+00:00" } ```` Fields a registry doesn't publish are `null` — your pipeline gets a stable schema either way. Records with neither a street address nor a geocode are dropped (you are not charged for them). ### Cost of a typical run All three registries are official open-data APIs: no proxies, no CAPTCHAs, runs complete in seconds. You pay per property record delivered — see the pricing tab. A full default run (500/registry, 90 days) typically returns a few hundred records and costs a couple of dollars. ### Known limitations - **Cincinnati withholds street addresses on recent filings** (privacy practice). Those records still include exact lat/long coordinates and a link to the city's case report — reverse-geocode or follow the link for the address. - **LA's registry is updated in batches** by the city; expect the newest registrations to be weeks (not days) old. Prince George's and Cincinnati run days-fresh. - LA publishes one dataset per calendar year; this Actor tracks the current year and is updated at rollover. - Record types differ by jurisdiction (lender registrations vs. county submissions vs. vacancy filings) — the `record_type` field tells you which process generated each record. - Coverage is the registry's: these are official filings, not a national MLS-style feed. ### Changelog - **0.1** (2026-06-10) — initial release: Los Angeles, Prince George's County MD, Cincinnati; unified schema; lead-quality filter (address-or-geocode); graceful partial-failure handling. # Actor input Schema ## `sources` (type: `array`): Which official registries to pull from. Default: all. ## `registeredSince` (type: `string`): Only records registered/filed on or after this date. Default: last 90 days. ## `maxRecordsPerSource` (type: `integer`): Hard cap per registry per run (1–5000). Default 500. ## Actor input object example ```json { "sources": [ "la", "pg_county_md", "cincinnati" ], "maxRecordsPerSource": 500 } ``` # Actor output Schema ## `properties` (type: `string`): All scraped records in the unified schema (one JSON object per property) # 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("vivar_bolivar/foreclosure-registry-scraper").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("vivar_bolivar/foreclosure-registry-scraper").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 vivar_bolivar/foreclosure-registry-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=vivar_bolivar/foreclosure-registry-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Foreclosure & Distressed Property Leads — Official Registries", "description": "Property-level foreclosure and distressed-property records from official government registries (LA, DC-metro Prince George's County, Cincinnati). Includes lender and property-manager contacts where published. Built for real-estate investors and wholesalers.", "version": "0.1", "x-build-id": "CWxEDcBT6aNVjEqjP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/vivar_bolivar~foreclosure-registry-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-vivar_bolivar-foreclosure-registry-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/vivar_bolivar~foreclosure-registry-scraper/runs": { "post": { "operationId": "runs-sync-vivar_bolivar-foreclosure-registry-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/vivar_bolivar~foreclosure-registry-scraper/run-sync": { "post": { "operationId": "run-sync-vivar_bolivar-foreclosure-registry-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "sources": { "title": "Registries", "type": "array", "description": "Which official registries to pull from. Default: all.", "items": { "type": "string", "enum": [ "la", "pg_county_md", "cincinnati" ], "enumTitles": [ "Los Angeles, CA (registered foreclosures)", "Prince George's County, MD (county foreclosures)", "Cincinnati, OH (vacant & foreclosed registry)" ] }, "default": [ "la", "pg_county_md", "cincinnati" ] }, "registeredSince": { "title": "Registered since (YYYY-MM-DD)", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Only records registered/filed on or after this date. Default: last 90 days." }, "maxRecordsPerSource": { "title": "Max records per registry", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Hard cap per registry per run (1–5000). Default 500.", "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 } } } } } } } } } } ```