# Auction.com Scraper — Foreclosure & Bank-Owned Homes (`scrapersdelight/auction-com-scraper`) Actor

Scrape US foreclosure & bank-owned (REO) real-estate auctions from auction.com: address, city/state/zip/county, beds/baths/sqft, property type, occupancy, estimated value, starting & current bid, reserve status, bid count and auction dates. Nationwide or by state, no login.

- **URL**: https://apify.com/scrapersdelight/auction-com-scraper.md
- **Developed by:** [Scrapers Delight](https://apify.com/scrapersdelight) (community)
- **Categories:** Automation, Lead generation, Real estate
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 per auction property returneds

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 Scraper — Foreclosure & Bank-Owned Homes

**Scrape live US real-estate auctions from auction.com: foreclosure and bank-owned (REO) properties with full address, beds/baths/sqft, property type, estimated value, starting & current bid, reserve status and auction dates. Scan the whole country or pick states. No login, no API key.**

> 🕒 Updated: 2026-07-11 · 🇺🇸 ~15,000 active US auctions · 🏦 Foreclosure + bank-owned (REO) · 💰 Starting & live bid, reserve status, auction dates · 🚫 No login

Auction.com is the largest US foreclosure and bank-owned real-estate auction marketplace. **This actor turns its live inventory into a clean, structured dataset** — every active property with the address, physical details, valuation and the auction economics investors actually price a deal on. Point it at a state (or leave it blank for the whole country) and export to JSON, CSV, Excel or Google Sheets, or pull it via API.

Built for **real-estate investors, wholesalers, house flippers, iBuyers and hard-money lenders** who need the full auction pipeline in a spreadsheet, refreshed on a schedule.

***

### What it does

- 🏦 **Foreclosure & bank-owned (REO) inventory** — every active listing on auction.com, tagged by `property_type` (e.g. `BANK_OWNED`) and `is_foreclosure` (trustee sale) so you can split REO from foreclosure.
- 🏠 **Full property core** — address, city, state, county, ZIP, `beds`, `baths`, `sqft`, `lot_size`, `year_built`, structure type and occupancy status.
- 💰 **The auction economics** — `estimated_value`, `starting_bid`, live `current_bid`, `bid_count`, `reserve_status`, `auction_start`, `auction_end` and online/live flag.
- 🗺️ **Nationwide or by state** — leave **States** empty to pull every active US auction (~15k), or pass `["TX","FL","CA"]`. You can also paste auction.com search URLs.
- 🔗 **Direct listing URL + photo** on every row.
- ⚡ **Fast & reliable** — reads auction.com's own structured data feed (not fragile HTML), so runs come back complete, not blocked.

### 📊 Output — one flat record per property

| Field | Type | Example |
|---|---|---|
| 🏠 `address` | text | `3111 Kiowa, San Antonio, TX 78211, Bexar County` |
| 🏙️ `city` / `state` / `zip` | text | `San Antonio` / `TX` / `78211` |
| 🏦 `property_type` | text | `BANK_OWNED` |
| 🔨 `is_foreclosure` | bool | `false` |
| 🛏️ `beds` / 🛁 `baths` / 📐 `sqft` | number | `2` / `1` / `748` |
| 💵 `estimated_value` | number | `60000` |
| 🟢 `starting_bid` | number | `1` |
| 📈 `current_bid` / `bid_count` | number | `null` / `0` |
| 🔒 `reserve_status` | text | `RESERVE_NOT_MET` |
| 📅 `auction_start` / `auction_end` | date | `2026-07-13T12:00:00Z` |
| 🔗 `url` | link | `https://www.auction.com/details/3111-kiowa-st-san-antonio-tx-2118366` |

Plus `listing_id`, `street`, `county`, `product_type`, `occupancy_status`, `structure_type`, `lot_size`, `year_built`, `is_online`, `auction_status`, `listing_status`, `is_hot`, `financing_available`, `buyer_premium_available`, `event_code`, `photo_url`, `photos_count`, `scraped_at`.

<details><summary>🏠 Sample record</summary>

```json
{
  "listing_id": "2118366",
  "url": "https://www.auction.com/details/3111-kiowa-st-san-antonio-tx-2118366",
  "address": "3111 Kiowa, San Antonio, TX 78211, Bexar County",
  "city": "San Antonio", "state": "TX", "county": "BEXAR", "zip": "78211",
  "property_type": "BANK_OWNED", "product_type": "REO", "is_foreclosure": false,
  "occupancy_status": "VACANT", "structure_type": "SINGLE_FAMILY",
  "beds": 2, "baths": 1, "sqft": 748, "lot_size": 0.16, "year_built": 1960,
  "estimated_value": 60000,
  "starting_bid": 1, "current_bid": null, "bid_count": 0, "reserve_status": "RESERVE_NOT_MET",
  "auction_start": "2026-07-13T12:00:00Z", "auction_end": "2026-07-15T15:05:30Z",
  "is_online": true, "auction_status": "PENDING", "listing_status": "SALE_PENDING_CLEARED",
  "photo_url": "https://adc-tenbox-prod.imgix.net/resi/propertyImages/1451454/1451454_extf_1.v1.jpeg",
  "photos_count": 28,
  "scraped_at": "2026-07-11T00:00:00.000Z"
}
```

</details>

***

### Input

| Field | What it does |
|---|---|
| **States** | Two-letter US state codes, e.g. `["TX","FL"]`. Leave empty to scan the whole country. |
| **Start URLs** | Optional. auction.com search URLs like `https://www.auction.com/residential/CA` (state auto-detected). |
| **Sort order** | Auction date (soonest first), Newest listed, or Estimated value. |
| **Max results** | Cap per run. `0` = pull everything (up to a safety cap). |
| **Proxy** | Default Apify Proxy is fine — the data feed is not IP-blocked. |

### Typical uses

- 📋 Build a **statewide foreclosure / REO pipeline** refreshed daily.
- 🎯 Filter for **vacant, low-est-value single-family** homes under a bid threshold.
- 🏷️ Feed auction inventory into a **CRM, comps model or acquisition dashboard**.

***

*Public listing data. You are responsible for complying with auction.com's Terms of Service and applicable laws. Not affiliated with Auction.com, LLC.*

# Actor input Schema

## `states` (type: `array`):

Two-letter US state codes to scan for active auctions, e.g. \["TX", "FL", "CA"]. Every active foreclosure / bank-owned property listed on auction.com in each state is returned. Leave EMPTY to scan the whole country (all US active auctions).

## `startUrls` (type: `array`):

Optional. Paste auction.com search URLs, e.g. https://www.auction.com/residential/CA . The state is auto-detected from each URL and scanned. Use this or the States field.

## `sort` (type: `string`):

Order results by soonest auction date, most recently listed, or estimated value.

## `maxResults` (type: `integer`):

Cap on the number of properties returned this run (cost/speed guard). Default 100; set 0 to pull every matching property (up to a safety cap).

## `proxyConfiguration` (type: `object`):

Proxy settings. Auction.com's data API is not IP-blocked, so the default Apify Proxy is fine.

## Actor input object example

```json
{
  "states": [
    "TX"
  ],
  "sort": "auction_date",
  "maxResults": 20,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `records` (type: `string`):

The dataset of scraped auction.com properties (one item 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "states": [
        "TX"
    ],
    "sort": "auction_date",
    "maxResults": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapersdelight/auction-com-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 = {
    "states": ["TX"],
    "sort": "auction_date",
    "maxResults": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("scrapersdelight/auction-com-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 '{
  "states": [
    "TX"
  ],
  "sort": "auction_date",
  "maxResults": 20
}' |
apify call scrapersdelight/auction-com-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/1F6rzAz4gEoY6SGd8/builds/zxtYG4ToUMlG1DVX5/openapi.json