# HUD Foreclosure Listings Scraper (`martc03/hud-foreclosures`) Actor Scrapes HUD Home Store for government-owned foreclosure properties. Search by state, zip code, price range, bedrooms, and property type across all US states. - **URL**: https://apify.com/martc03/hud-foreclosures.md - **Developed by:** [CoDee](https://apify.com/martc03) (community) - **Categories:** Real estate, Automation - **Stats:** 25 total users, 8 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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. 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 ## :house: HUD Foreclosure & REO Property Listings Search **HUD-owned foreclosed properties** from [HUD Home Store](https://www.hudhomestore.gov/) — the official US Department of Housing and Urban Development marketplace for government-owned real estate. Listings include single-family homes, condos, and townhouses available at below-market prices. ### What data does it extract? For each property listing, the Actor extracts: | Field | Description | |-------|-------------| | **Case Number** | HUD case identifier | | **Address** | Full street address, city, state, zip, and county | | **List Price** | Current asking price | | **Bedrooms/Bathrooms** | Bedroom and bathroom count | | **Square Feet** | Property square footage | | **Property Type** | Single family, condo, townhouse, etc. | | **Year Built** | Year the property was built | | **FHA Financing** | Whether FHA-insured financing is available | | **Bidding Deadline** | Deadline for submitting bids | | **Bid Open Date** | When bids are opened | | **Status** | Property listing status | | **Coordinates** | Latitude and longitude | | **Amenities** | Indoor and outdoor amenities | ### Output example ```json { "caseNumber": "101-123456", "address": "123 Main St", "city": "Phoenix", "state": "AZ", "zipCode": "85001", "county": "Maricopa", "listPrice": 185000, "bedrooms": 3, "bathrooms": 2, "squareFeet": 1450, "propertyType": "Single Family", "listingDate": "02/10/2026", "biddingDeadline": "02/28/2026", "bidOpenDate": "03/01/2026", "status": "Available", "fhaFinancing": "Insured", "yearBuilt": 1998, "latitude": 33.4484, "longitude": -112.074, "listingUrl": "https://www.hudhomestore.gov/listing/101-123456", "scrapedAt": "2026-02-25T12:00:00.000Z", "sourceUrl": "https://www.hudhomestore.gov/searchresult?citystate=AZ" } ```` ### Input options | Parameter | Type | Description | |-----------|------|-------------| | `states` | string\[] | Filter by US state codes (e.g., `["AZ", "FL", "TX"]`). Leave empty for all 50 states + territories. | | `zipCodes` | string\[] | Filter by zip codes (e.g., `["85001", "33101"]`). Overrides state filter if provided. | | `minPrice` | number | Minimum list price. | | `maxPrice` | number | Maximum list price. | | `bedrooms` | integer | Minimum number of bedrooms. | | `bathrooms` | integer | Minimum number of bathrooms. | | `propertyTypes` | string\[] | Filter by type (e.g., `["Single Family", "Condo"]`). Leave empty for all. | | `maxRecords` | integer | Maximum records to fetch. Default: 5,000. | ### Use cases - **Real estate investors** — Find below-market foreclosed properties across any US state - **First-time homebuyers** — Discover affordable HUD homes eligible for FHA financing with low down payments - **Property flippers** — Identify fixer-upper opportunities with high potential ROI - **Real estate agents** — Monitor HUD inventory for client matching and market analysis - **Researchers** — Study foreclosure patterns by region, property type, and pricing trends - **Nonprofit housing orgs** — Track available affordable housing stock for community programs ### Data freshness HUD Home Store updates listings **daily** as new properties become available and bids are processed. Schedule this Actor to run daily to catch new listings early. ### Cost This Actor scrapes the HUD Home Store website. Typical cost: **less than $0.05 per run** for a full nationwide scan. # Actor input Schema ## `states` (type: `array`): Filter by US state codes (e.g., \["CA", "FL", "TX"]). Leave empty to scrape all 50 states + DC and territories. ## `zipCodes` (type: `array`): Specific ZIP codes to search (e.g., \["90210", "33101"]). When provided, searches by ZIP instead of state. Leave empty to search by state. ## `minPrice` (type: `integer`): Minimum listing price filter (e.g., 50000). Applied client-side after fetching results. ## `maxPrice` (type: `integer`): Maximum listing price filter (e.g., 300000). Applied client-side after fetching results. ## `bedrooms` (type: `integer`): Minimum number of bedrooms (0-5). Properties with at least this many bedrooms will be included. ## `bathrooms` (type: `integer`): Minimum number of bathrooms (0-5). Properties with at least this many bathrooms will be included. ## `propertyTypes` (type: `array`): Filter by property type. Options: "Single Family Home", "Condominium", "Townhouse", "Manufactured Housing". Leave empty for all types. ## `maxRecords` (type: `integer`): Maximum number of property records to output. Default: 5000. ## Actor input object example ```json { "maxRecords": 5000 } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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("martc03/hud-foreclosures").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("martc03/hud-foreclosures").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 martc03/hud-foreclosures --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=martc03/hud-foreclosures", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "HUD Foreclosure Listings Scraper", "description": "Scrapes HUD Home Store for government-owned foreclosure properties. Search by state, zip code, price range, bedrooms, and property type across all US states.", "version": "0.1", "x-build-id": "hRbB6wPBfSxc6PBo8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/martc03~hud-foreclosures/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-martc03-hud-foreclosures", "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/martc03~hud-foreclosures/runs": { "post": { "operationId": "runs-sync-martc03-hud-foreclosures", "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/martc03~hud-foreclosures/run-sync": { "post": { "operationId": "run-sync-martc03-hud-foreclosures", "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": { "states": { "title": "States", "type": "array", "description": "Filter by US state codes (e.g., [\"CA\", \"FL\", \"TX\"]). Leave empty to scrape all 50 states + DC and territories.", "items": { "type": "string" } }, "zipCodes": { "title": "ZIP Codes", "type": "array", "description": "Specific ZIP codes to search (e.g., [\"90210\", \"33101\"]). When provided, searches by ZIP instead of state. Leave empty to search by state.", "items": { "type": "string" } }, "minPrice": { "title": "Minimum Price", "minimum": 0, "type": "integer", "description": "Minimum listing price filter (e.g., 50000). Applied client-side after fetching results." }, "maxPrice": { "title": "Maximum Price", "minimum": 0, "type": "integer", "description": "Maximum listing price filter (e.g., 300000). Applied client-side after fetching results." }, "bedrooms": { "title": "Minimum Bedrooms", "minimum": 0, "maximum": 5, "type": "integer", "description": "Minimum number of bedrooms (0-5). Properties with at least this many bedrooms will be included." }, "bathrooms": { "title": "Minimum Bathrooms", "minimum": 0, "maximum": 5, "type": "integer", "description": "Minimum number of bathrooms (0-5). Properties with at least this many bathrooms will be included." }, "propertyTypes": { "title": "Property Types", "type": "array", "description": "Filter by property type. Options: \"Single Family Home\", \"Condominium\", \"Townhouse\", \"Manufactured Housing\". Leave empty for all types.", "items": { "type": "string" } }, "maxRecords": { "title": "Max Records", "minimum": 1, "type": "integer", "description": "Maximum number of property records to output. Default: 5000.", "default": 5000 } } }, "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 } } } } } } } } } } ```