# Auction.com Scraper - REO & Foreclosure Homes (`xhimatty/auction-com-foreclosure-scraper`) Actor

From $0.65/1k. Extract Auction.com foreclosure listings, bank-owned properties, and real estate auction data. Get property details including address, location, bedrooms, bathrooms, auction dates, bidding information, estimated rent, photos, and listing URLs. Search by URL, state, or city.

- **URL**: https://apify.com/xhimatty/auction-com-foreclosure-scraper.md
- **Developed by:** [Michael Mathias](https://apify.com/xhimatty) (community)
- **Categories:** Real estate, SEO tools, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.65 / 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Auction.com REO & Foreclosure Property Data Scraper

Extract foreclosure listings, REO properties, bank-owned homes, and auction data from Auction.com at $0.65 per 1,000 results.

This Apify Actor collects structured real estate data including property details, auction information, bidding data, estimated rent, photos, and listing URLs for property research, investment analysis, and market monitoring.

### Features

- Extract Auction.com foreclosure listings
- Collect REO and bank-owned property data
- Search by: Auction.com search URL, state, and state & city
- Search using state abbreviations or full state names
- Filter properties by bedroom requirements using minimum, maximum, or range filters
- Filter properties by minimum bathrooms, including decimal values such as 1.5 or 2.5
- Control the exact number of records to extract
- Extract property details:
  - Address
  - Location
  - Bedrooms
  - Bathrooms
  - Square footage
  - Lot size
  - Year built
  - Property type
  - Occupancy status
- Extract auction information:
  - Auction dates
  - Starting bids
  - Current bids
  - Bid counts
  - Event details
  - Sale status
- Extract financial data:
  - Estimated rent
  - Rent range
- Extract media:
  - Property URLs
  - Primary photos

### Use Cases

#### Real Estate Investors

Monitor foreclosure opportunities, identify potential investment properties, and analyze auction inventory.

#### Property Research

Collect structured foreclosure data for market research, valuation analysis, and property discovery.

#### Real Estate Analytics

Build datasets for:

- Foreclosure market trends
- Auction activity monitoring
- Property intelligence
- Investment research

### Input

The Actor supports multiple input options for flexible property searches.

#### 1. Auction.com Search URL

Provide any supported Auction.com residential search URL.

> **Note:** The URL field is prefilled with a Texas search. If a URL is provided, it always takes priority over the **State** and **City** inputs.

Example:

```
https://www.auction.com/residential/PA/Philadelphia_ct/active_lt/2,3,4_bd/2_bt/auction_date_order_st/2121870_oa/y_nbs/bank-owned,newly-foreclosed_at
```

The Actor automatically extracts supported filters from the provided Auction.com URL, including:

- State
- City
- Bedrooms
- Bathrooms

#### 2. State

Search by either the two-letter state abbreviation or the full state name.

Example:

```json
{
    "state": "TX"
}
```

#### or

```json
{
    "state": "Texas"
}
```

Both generates:

```
https://www.auction.com/residential/TX
```

#### 3. City and State

Search by city within a state.

Example:

```json
{
    "state": "Texas",
    "city": "Houston"
}
```

#### or

```json
{
    "state": "TX",
    "city": "Houston"
}
```

#### 4. Property Filters

Filter listings by bedroom and bathroom requirements.

##### Bedroom Filters

Filter by minimum bedrooms, maximum bedrooms, or a bedroom range.

Example:

```json
{
    "state": "TX",
    "min_beds": 2,
    "max_beds": 3
}
```

Generates:

```
https://www.auction.com/residential/TX/2,3_bd
```

This searches properties with 2 to 3 bedrooms.

##### Bathroom Filter

Example:

```json
{
    "state": "TX",
    "min_baths": 1.5
}
```

Generates:

```
https://www.auction.com/residential/TX/1.5_bt
```

Supports decimal bathroom values such as 1.5, 2, and 2.5.

You can combine filters to narrow your search.

Example:

```json
{
    "state": "Texas",
    "city": "Houston",
    "min_beds": 3,
    "min_baths": 2,
    "max_items": 2000
}
```

#### 5. Maximum Records

Control how many property listings to extract, regardless of how many total listings are available.

Example:

```json
{
    "state": "TX",
    "max_items": 500
}
```

Default: **1000**

The Actor extracts up to the number of listings you request. Increase this value to collect more records. It stops when it reaches your requested limit or when no more listings are available.

### Output

Each property record contains structured fields including:

| Field | Description |
|---|---|
| `listing_id` | Auction.com listing identifier |
| `address` | Property address |
| `city` | Property city |
| `state` | Property state |
| `zip_code` | ZIP code |
| `county` | County name |
| `latitude` | Latitude coordinate |
| `longitude` | Longitude coordinate |
| `property_type` | Property classification |
| `asset_type` | Asset category |
| `occupancy_status` | Occupancy information |
| `bedrooms` | Number of bedrooms |
| `bathrooms` | Number of bathrooms |
| `square_footage` | Property size |
| `lot_size` | Lot size |
| `year_built` | Construction year |
| `listing_status` | Current listing status |
| `auction_start` | Auction start date |
| `auction_end` | Auction end date |
| `starting_bid` | Starting bid amount |
| `current_bid` | Current highest bid |
| `bid_count` | Number of bids |
| `venue_type` | Auction venue type |
| `event_code` | Auction event identifier |
| `trustee_sale` | Trustee sale status |
| `estimated_rent` | Estimated rental value |
| `rent_low` | Lower rent estimate |
| `rent_high` | Higher rent estimate |
| `property_url` | Auction.com property URL |
| `primary_photo` | Property image URL |
| `date` | Timestamp when data was extracted |

### Pricing

Usage-based pricing:

- Actor start: $0.00005 per run
- Dataset items: $0.00065 per result

Example:

1,000 property records:

```
1000 × $0.00065 = $0.65
```

You only pay for the records extracted.

### Example Output

```json
{
    "listing_id": "2093213",
    "address": "1212 38TH ST",
    "city": "GALVESTON",
    "state": "TX",
    "zip_code": "77550",
    "county": "Galveston",
    "latitude": 29.293441,
    "longitude": -94.8083126,
    "product_type": "TRUSTEE",
    "asset_type": "FORECLOSURE",
    "occupancy_status": "VACANT",
    "is_newly_listed": false,
    "property_type": "DUPLEX_BUILDING",
    "bedrooms": 0,
    "bathrooms": 4,
    "square_footage": 1848,
    "lot_size": 0.1,
    "year_built": 1937,
    "listing_status": "SALE_PENDING_CLEARED",
    "auction_start": "2026-08-04T15:00:00Z",
    "auction_end": null,
    "starting_bid": 95500,
    "is_online": false,
    "current_bid": null,
    "segment_status": "",
    "bid_count": null,
    "current_increment_amount": null,
    "reserve_status": "",
    "venue_type": "LIVE",
    "event_code": "E-31755",
    "trustee_sale": true,
    "estimated_rent": 2367,
    "rent_low": 1101,
    "rent_high": 3633,
    "property_url": "https://www.auction.com/details/1212-38th-st-galveston-tx-2093213",
    "primary_photo": "https://adc-tenbox-prod.imgix.net/resi/propertyImages/1202833/4851701ord00841206_1.v1.jpeg?auto=compress,format",
    "date": "2026-07-30 03:36:27"
}
```

### Data Delivery

Results are stored automatically in the Apify Dataset.

You can export results as:

- JSON
- CSV
- Excel
- XML

### Notes

- The Actor accepts an Auction.com search URL, state, city, bedroom filters, and bathroom filters as input.

- If a URL is provided, it takes priority over state, city, and property filters.

- No proxy configuration is required to run this Actor.

- All data scraped is publicly available on Auction.com.

- Results depend on the availability of listings on Auction.com.

- Property availability, bid increments, and auction schedules change over time.

### Related Actors

Looking for e-commerce product data extraction?

Check out Konga Product Data Scraper:

[Konga Product Data Scraper](https://apify.com/xhimatty/konga-product-data-scraper)

Extract Konga product listings, prices, sellers, stock availability, and product details.

### Support

For custom real estate data extraction, automation, or additional data requirements, contact the developer.

# Actor input Schema

## `url` (type: `string`):

Optional: Provide an Auction.com residential search URL

## `state` (type: `string`):

Optional: State name or abbreviation (TX or Texas).

## `city` (type: `string`):

Optional: City name. Requires state.

## `min_beds` (type: `number`):

Optional. Minimum bedrooms. Combine with max bedrooms for a range.

## `max_beds` (type: `number`):

Optional. Maximum bedrooms.

## `min_baths` (type: `number`):

Optional. Minimum bathrooms.

## `max_items` (type: `integer`):

Maximum property listings to scrape.

## Actor input object example

```json
{
  "url": "https://www.auction.com/residential/TX",
  "max_items": 1000
}
```

# Actor output Schema

## `results` (type: `string`):

URL endpoint for accessing the dataset containing the scraped Auction.com foreclosure property listings generated by this 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "url": "https://www.auction.com/residential/TX"
};

// Run the Actor and wait for it to finish
const run = await client.actor("xhimatty/auction-com-foreclosure-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "url": "https://www.auction.com/residential/TX" }

# Run the Actor and wait for it to finish
run = client.actor("xhimatty/auction-com-foreclosure-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 '{
  "url": "https://www.auction.com/residential/TX"
}' |
apify call xhimatty/auction-com-foreclosure-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=xhimatty/auction-com-foreclosure-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/qQST0ugqzBMTDTn3M/builds/mlmWbRXyF97jEK7WY/openapi.json