# RealtyTrac Foreclosure & REO Listings Scraper (`jungle_synthesizer/realtytrac-scraper`) Actor Scrape distressed real estate listings from RealtyTrac — pre-foreclosures, active foreclosures, bank-owned (REO) properties, and sheriff sales. Filter by US state or city. Returns address, beds/baths/sqft, estimated value, listing status, and detail page URL. - **URL**: https://apify.com/jungle\_synthesizer/realtytrac-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Real estate, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## RealtyTrac Foreclosure & REO Listings Scraper Scrape distressed real estate listings from [RealtyTrac](https://www.realtytrac.com) — pre-foreclosures, active foreclosures, bank-owned (REO) properties, and sheriff sales. Returns property address, beds/baths/sqft, estimated value, listing status, and property URL. No account required. ### What it does The actor paginates through RealtyTrac's listing pages by distressed listing type. Each listing page returns 24 property cards with structured HTML data. You can filter by listing type and US location (state, city, or county). The actor stops once it reaches your `maxItems` limit or exhausts all pages. The site's search results are fully server-rendered — no JavaScript execution required, and no proxy is needed. ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `listingTypes` | Array | No | Types of listings to scrape. Options: `foreclosure`, `pre-foreclosure`, `bank-owned`, `reo`, `sheriff-sale`. Defaults to all three main types if omitted. | | `location` | String | No | US location to filter results (e.g. `california`, `los-angeles-ca`). Leave blank for national results. | | `maxItems` | Integer | Yes | Maximum number of property records to return. | #### Example input — foreclosures in California ```json { "listingTypes": ["foreclosure", "pre-foreclosure"], "location": "california", "maxItems": 100 } ```` #### Example input — national bank-owned listings ```json { "listingTypes": ["bank-owned"], "location": "", "maxItems": 500 } ``` ### Output Each record in the dataset represents one property listing. | Field | Type | Description | |-------|------|-------------| | `property_id` | String | Unique RealtyTrac property ID | | `property_url` | String | Full URL to the property detail page on RealtyTrac | | `listing_type` | String | Listing type used to discover this record (`foreclosure`, `pre-foreclosure`, `bank-owned`, `sheriff-sale`) | | `listing_status` | String | Distressed status as shown on RealtyTrac (e.g. `Pre-Foreclosure`, `Foreclosure`, `REO / Bank-Owned`) | | `address` | String | Street address (e.g. `220 Surrey Oak Ln`) | | `city` | String | City | | `state` | String | Two-letter US state abbreviation | | `zip_code` | String | ZIP code | | `estimated_value` | Integer | Estimated property value in USD (null if not shown) | | `beds` | Integer | Number of bedrooms (null if not listed) | | `baths` | Integer | Number of bathrooms (null if not listed) | | `sqft` | Integer | Living area in square feet (null if not listed) | | `lot_sqft` | Integer | Lot size in square feet (null if not listed) | | `scraped_at` | String | ISO-8601 timestamp of when this record was scraped | #### Example record ```json { "property_id": "1000713871", "property_url": "https://www.realtytrac.com/p/surrey-oak-ln-charlotte-nc-28216-1000713871/", "listing_type": "foreclosure", "listing_status": "Pre-Foreclosure", "address": "220 Surrey Oak Ln", "city": "Charlotte", "state": "NC", "zip_code": "28216", "estimated_value": 433647, "beds": 4, "baths": 3, "sqft": 2088, "lot_sqft": 6745, "scraped_at": "2026-06-07T21:41:27.613Z" } ``` ### Notes - **Listing types**: RealtyTrac uses overlapping status labels. A property in "Pre-Foreclosure" status appears under the `foreclosure` listing type URL. Use `listingTypes: ["foreclosure", "pre-foreclosure"]` together for complete coverage. - **Location filtering**: The `location` field maps to RealtyTrac's URL slug (e.g. `california`, `texas`, `los-angeles-ca`). If the location slug does not match RealtyTrac's URL structure, the actor returns national results. - **Page size**: 24 properties per listing page. Pagination continues automatically until `maxItems` is reached or no more results exist. - **Rate limits**: RealtyTrac's listing pages serve cleanly without rate limiting. No proxy is required. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `listingTypes` (type: `array`): Types of distressed listings to scrape. Options — foreclosure, pre-foreclosure, bank-owned, sheriff-sale. Defaults to all types. ## `location` (type: `string`): US state name or city to filter listings (e.g. "california", "los-angeles-ca"). Leave blank for national results. ## `maxItems` (type: `integer`): Maximum number of property records to scrape (across all listing types and pages). ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "listingTypes": [ "foreclosure", "pre-foreclosure" ], "maxItems": 10 } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "listingTypes": [ "foreclosure", "pre-foreclosure" ], "location": "", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/realtytrac-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "listingTypes": [ "foreclosure", "pre-foreclosure", ], "location": "", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/realtytrac-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "listingTypes": [ "foreclosure", "pre-foreclosure" ], "location": "", "maxItems": 10 }' | apify call jungle_synthesizer/realtytrac-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/realtytrac-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "RealtyTrac Foreclosure & REO Listings Scraper", "description": "Scrape distressed real estate listings from RealtyTrac — pre-foreclosures, active foreclosures, bank-owned (REO) properties, and sheriff sales. Filter by US state or city. Returns address, beds/baths/sqft, estimated value, listing status, and detail page URL.", "version": "0.1", "x-build-id": "aktcDp9EhDt9haGKm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~realtytrac-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-realtytrac-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/jungle_synthesizer~realtytrac-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-realtytrac-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/jungle_synthesizer~realtytrac-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-realtytrac-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", "required": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "listingTypes": { "title": "Listing Types", "type": "array", "description": "Types of distressed listings to scrape. Options — foreclosure, pre-foreclosure, bank-owned, sheriff-sale. Defaults to all types.", "items": { "type": "string" } }, "location": { "title": "Location (State or City)", "type": "string", "description": "US state name or city to filter listings (e.g. \"california\", \"los-angeles-ca\"). Leave blank for national results." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of property records to scrape (across all listing types and pages)." } } }, "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 } } } } } } } } } } ```