# Auction.com Scraper — Foreclosure, REO & Trustee Sales (`haketa/auction-com-scraper`) Actor

Scrape Auction.com foreclosure, trustee & bank-owned (REO) real-estate auctions. Search by state, city, county or ZIP and export address, beds/baths/sqft, auction date, starting bid, reserve status, estimated value & sold comps as JSON, CSV or Excel.

- **URL**: https://apify.com/haketa/auction-com-scraper.md
- **Developed by:** [Haketa](https://apify.com/haketa) (community)
- **Categories:** Real estate, Lead generation
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.75 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Auction.com Scraper — Foreclosure, REO & Trustee Sale Data

[![Apify Actor](https://img.shields.io/badge/Apify-Actor-blue?logo=apify)](https://apify.com/haketa/auction-com-scraper)
[![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://apify.com/haketa/auction-com-scraper)
[![Data Format](https://img.shields.io/badge/Output-JSON%20%7C%20CSV%20%7C%20Excel-orange)](https://apify.com/haketa/auction-com-scraper)
[![Pagination](https://img.shields.io/badge/Pagination-1%2C000%2B%20Deep%20Crawl-success)](https://apify.com/haketa/auction-com-scraper)
[![Deduplication](https://img.shields.io/badge/Deduplication-ListingId%20Verified-blueviolet)](https://apify.com/haketa/auction-com-scraper)

Scrape [Auction.com](https://www.auction.com) — the premier US online marketplace for distressed residential real estate — into clean, structured data without coding or manual browser intervention. This **Auction.com scraper** searches **foreclosure auctions, bank-owned (REO) homes, and trustee sales** across any state, city, county, ZIP code, or nationwide. Extract complete property specifications: **address, bedrooms, bathrooms, square footage, auction dates, starting bids, reserve status, occupancy classification, and estimated market values** — plus optional valuation ranges (AVM), rental estimates, nearby sold comparables, and historical tax assessments.

Export complete datasets to **JSON, CSV, Excel, or consume live feeds directly via the Apify REST API**.

> Built for **real estate investors, distressed asset funds, house flippers, wholesalers, proptech teams, mortgage lenders, appraisers, and market analysts** who require institutional-grade foreclosure deal flow at scale.

***

### ⚡ At a glance

| Feature | Specification |
|---|---|
| **Target Platform** | Auction.com (US Foreclosure & REO Marketplace) |
| **Asset Categories** | Bank-Owned (REO), Foreclosure / Trustee, Private Seller |
| **Search Granularity** | US State, City (`City, ST`), County (`County, ST`), 5-Digit ZIP, Nationwide |
| **Pagination Mode** | Automated deep pagination (unlimited or bounded via `maxPages`) |
| **Throughput Speed** | ~200–500 listings / minute |
| **Data Enrichment** | AVM valuation bounds, rental estimates, sold comps, tax assessments |
| **Output Formats** | JSON, CSV, XML, Excel (XLSX), HTML Table |
| **Default Concurrency** | 5 parallel enrichment workers (configurable up to 8) |
| **Proxy Compatibility** | Datacenter first with automatic US Residential fallback |

***

### 🔎 Why scrape Auction.com?

[Auction.com](https://www.auction.com) represents the dominant transactional exchange for non-performing loans, foreclosure sales, and institutional bank-owned REO inventory in the United States. For real estate professionals seeking off-market discount spreads, this platform houses primary deal flow.

However, extracting listings manually through web browsers is tedious and inefficient. Search results are paginated across hundreds of card views, valuation estimates are nested, and comparable sales data cannot be downloaded natively in bulk. This **Auction.com data extractor** automates the entire ingestion lifecycle: conducting multi-location searches, traversing deep page offsets, deduplicating property records, and returning structured datasets ready for financial underwriting and CRM integration.

#### Core enterprise use cases

- **Distressed Deal Sourcing**: Screen active trustee auctions and REO inventory to calculate spread ratios between starting bids and automated valuation models (AVM).
- **Wholesale Contract Identification**: Isolate vacant properties in target ZIP codes with low reserve thresholds to discover assignable purchase opportunities.
- **Buy-and-Hold Rental Underwriting**: Merge monthly rental estimates with starting bids to evaluate gross rental yields across emerging suburban markets.
- **Proptech & AVM Model Training**: Ingest historical sale records, distressed asset discount rates, and neighborhood comp density for algorithmic valuation engines.
- **Institutional Portfolio Monitoring**: Track county-by-county foreclosure filing volumes and clearance rates to anticipate macro housing market adjustments.

***

### ✨ Core capabilities

- ✅ **Flexible Geographic Targeting**: Query nationwide inventory, individual states (`CA`, `FL`, `TX`), specific municipalities (`"Houston, TX"`), or county jurisdictions (`"Cook, IL"`).
- ✅ **Deep 1,000+ Pagination**: Traverse thousands of distressed listings seamlessly across sequential offset pages without artificial item cutoffs.
- ✅ **Complete Physical Characteristics**: Extract address strings, latitude/longitude coordinates, property categories, bed/bath counts, square footage, and build year.
- ✅ **Auction Mechanics & Bidding State**: Capture starting bid amounts, current high bids, bid counts, bid increments, reserve statuses, and live versus online auction venues.
- ✅ **Occupancy & Property Access Flags**: Filter and identify occupied versus vacant homes, trustee sale designations, and interior inspection access permissions.
- ✅ **Valuation & Sold Comparables**: Enable optional detail enrichment to retrieve AVM valuation bands, expected rental rates, and nearby verified MLS/county sold comps.
- ✅ **Tax & Historical Transactions**: Harvest subject property tax assessments, assessed land values, delinquent tax records, and previous transfer histories.
- ✅ **Zero Duplicate Output**: Guarantees unique records using the canonical Auction.com `listingId` natural key.

***

### 📥 Input parameters

The scraper supports broad geographic discovery as well as targeted filters. All parameters are optional; omitting location parameters defaults automatically to California (`CA`) active listings.

| Parameter | Type | Default | Description |
|---|---|---|---|
| `states` | Array of Strings | `["CA"]` | US state two-letter codes (e.g. `["CA", "TX", "FL"]`). |
| `cities` | Array of Strings | `[]` | Municipal targets formatted as `"City, ST"` (e.g. `["Dallas, TX"]`). |
| `counties` | Array of Strings | `[]` | County targets formatted as `"County, ST"` (e.g. `["Maricopa, AZ"]`). |
| `zipCodes` | Array of Strings | `[]` | 5-digit US ZIP codes (e.g. `["90210", "33139"]`). |
| `nationwide` | Boolean | `false` | Scrapes active listings across the entire United States. |
| `startUrls` | Array of Requests | `[]` | Explicit Auction.com search URLs or listing detail links. |
| `assetTypes` | Array of Strings | `[]` | Filter by `BANK_OWNED`, `FORECLOSURE`, or `PRIVATE_SELLER`. |
| `propertyTypes` | Array of Strings | `[]` | Filter by structure type (`SINGLE_FAMILY_HOME`, `CONDOMINIUM_UNIT`, etc.). |
| `occupancyStatus` | Array of Strings | `[]` | Filter by `OCCUPIED` or `VACANT`. |
| `priceMin` | Integer | `0` | Minimum starting bid threshold in USD. |
| `priceMax` | Integer | `0` | Maximum starting bid threshold in USD. |
| `bedsMin` | Integer | `0` | Minimum bedroom count. |
| `bathsMin` | Integer | `0` | Minimum bathroom count. |
| `sort` | Select | `"auction_date_order"` | Sort order (`auction_date_order`, `newest`, `price_low_to_high`, etc.). |
| `includeDetails` | Boolean | `false` | Enriches each listing with AVM valuation, rental estimate, comps, and tax data. |
| `maxPages` | Integer | `0` | Maximum pages to fetch per search. Set to `0` for unlimited pagination. |
| `maxItems` | Integer | `50` | Maximum total listings to retain. |
| `pageSize` | Integer | `200` | Results requested per pagination offset (20–500). |
| `maxConcurrency` | Integer | `5` | Parallel concurrency for detail page enrichment. |
| `proxyConfiguration` | Object | `{ "useApifyProxy": true }` | Proxy settings (datacenter with residential fallback). |

***

### 📋 Ready-to-use input examples

#### Example 1: Active foreclosures in Florida with valuation comps

```json
{
  "states": ["FL"],
  "assetTypes": ["FORECLOSURE"],
  "occupancyStatus": ["VACANT"],
  "includeDetails": true,
  "maxItems": 100,
  "maxPages": 0
}
```

#### Example 2: Fast metro sweep across multiple Texas cities

```json
{
  "cities": ["Houston, TX", "Dallas, TX", "Austin, TX"],
  "priceMax": 350000,
  "bedsMin": 3,
  "includeDetails": false,
  "maxItems": 250,
  "maxPages": 0
}
```

#### Example 3: Nationwide REO (bank-owned) scan

```json
{
  "nationwide": true,
  "assetTypes": ["BANK_OWNED"],
  "sort": "price_low_to_high",
  "maxItems": 500,
  "pageSize": 200
}
```

***

### 📤 Output dataset structure

Each property record contains normalized auction parameters. Below is a representative JSON output:

```json
{
  "listingId": "1478272",
  "url": "https://www.auction.com/details/-1478272",
  "status": "AUCTION_IN_PROGRESS",
  "statusLabel": "Auction in Progress",
  "statusGroup": "ACTIVE",
  "isHot": false,
  "address": "1234 Highland Ave, San Bernardino, CA 92404",
  "street": "1234 Highland Ave",
  "city": "San Bernardino",
  "state": "CA",
  "county": "San Bernardino",
  "zip": "92404",
  "latitude": 34.1352,
  "longitude": -117.2891,
  "propertyType": "SINGLE_FAMILY_HOME",
  "propertyGroup": "SINGLE_FAMILY",
  "bedrooms": 3,
  "bathrooms": 2,
  "squareFootage": 1420,
  "lotSize": 0.18,
  "yearBuilt": 1978,
  "estimatedValue": 385000,
  "assetType": "BANK_OWNED",
  "productType": "DAY_1_REO",
  "occupancyStatus": "VACANT",
  "venueType": "ONLINE",
  "isTrusteeSale": false,
  "eventCode": "O-1629",
  "auctionStartDate": "2026-11-15T14:00:00Z",
  "auctionEndDate": "2026-11-17T18:30:00Z",
  "startingBid": 175000,
  "currentHighestBid": 190000,
  "winningBid": null,
  "bidCount": 4,
  "bidIncrement": 5000,
  "reserveStatus": "RESERVE_NOT_MET",
  "sellingMethod": "ENGLISH",
  "segmentStatus": "STARTED",
  "isOnline": true,
  "isReservePriceAvailable": true,
  "financingAvailable": false,
  "buyerPremiumAvailable": true,
  "interiorAccessAllowed": true,
  "primaryPhoto": "https://adc-tenbox-prod.imgix.net/resi/propertyImages/1478272/ext_1.jpg",
  "primaryPropertyId": "1478272",
  "searchState": "CA",
  "searchLabel": "CA",
  "scrapedAt": "2026-11-10T14:30:00.000Z"
}
```

When `includeDetails: true` is activated, the record includes valuation and comparable sale intelligence:

```json
{
  "avmValuation": {
    "low": 365000,
    "high": 412000,
    "estimated": 388500
  },
  "rentalEstimate": {
    "low": 2100,
    "high": 2750,
    "estimated": 2400
  },
  "comparables": [
    {
      "soldPrice": 392000,
      "soldDate": "2026-08-14T00:00:00.000Z",
      "bedrooms": 3,
      "bathrooms": 2,
      "livingArea": 1380,
      "distance": 0.24,
      "source": "MLS",
      "type": "sold"
    }
  ],
  "taxAssessment": {
    "assessedValue": 310000,
    "landValue": 95000,
    "improvementValue": 215000,
    "assessedYear": 2025,
    "taxValue": 3890,
    "taxYear": 2025
  },
  "neighborhood": {
    "location": "San Bernardino, CA",
    "medianSoldPrice": 410000,
    "valueTrend": 2.8,
    "ownerOccupancyRatio": 0.68,
    "rentalOccupancyRatio": 0.32
  }
}
```

***

### 📊 Field definitions & coverage

#### 🏠 Property specifications

| Field | Type | Description | Coverage |
|---|---|---|---|
| `listingId` | String | Unique Auction.com property identification key | 🟢 High (100%) |
| `url` | String | Direct canonical URL to the listing page | 🟢 High (100%) |
| `propertyType` | String | Structural classification (`SINGLE_FAMILY_HOME`, `CONDO`, etc.) | 🟢 High (98%) |
| `bedrooms` | Number | Total finished bedrooms | 🟢 High (95%) |
| `bathrooms` | Number | Total bathrooms | 🟢 High (95%) |
| `squareFootage` | Number | Finished living area in square feet | 🟢 High (92%) |
| `lotSize` | Number | Lot dimensions in acres or square feet | 🟢 High (88%) |
| `yearBuilt` | Number | Construction year | 🟢 High (90%) |
| `estimatedValue` | Number | Platform estimated fair market value | 🟡 Conditional (75%) |
| `primaryPhoto` | String | High-resolution exterior hero image URL | 🟢 High (96%) |

#### 🔨 Auction & bidding intelligence

| Field | Type | Description | Coverage |
|---|---|---|---|
| `assetType` | String | Category: `BANK_OWNED`, `FORECLOSURE`, or `PRIVATE_SELLER` | 🟢 High (100%) |
| `productType` | String | Product classification (`REO`, `DAY_1_REO`, `TRUSTEE`) | 🟢 High (100%) |
| `status` | String | Lifecycle state (`AUCTION_IN_PROGRESS`, `SALE_PENDING`) | 🟢 High (100%) |
| `occupancyStatus` | String | Habitancy status (`OCCUPIED` or `VACANT`) | 🟢 High (98%) |
| `startingBid` | Number | Opening auction bid amount in USD | 🟢 High (92%) |
| `currentHighestBid` | Number | Live highest offer placed during active bidding | 🟡 Conditional (60%) |
| `winningBid` | Number | Winning closing bid amount post-auction | 🟡 Conditional (40%) |
| `bidCount` | Number | Total bids submitted during the event | 🟢 High (90%) |
| `bidIncrement` | Number | Mandatory minimum bidding step amount | 🟢 High (90%) |
| `reserveStatus` | String | Reserve reserve achievement status | 🟢 High (92%) |
| `auctionStartDate` | String | ISO timestamp when bidding opens | 🟢 High (98%) |
| `auctionEndDate` | String | ISO timestamp when bidding closes | 🟢 High (98%) |
| `isOnline` | Boolean | True if bidding occurs digitally via web/app | 🟢 High (100%) |
| `isTrusteeSale` | Boolean | True if governed by judicial or non-judicial trustee | 🟢 High (100%) |
| `interiorAccessAllowed` | Boolean | True if prospective buyers may inspect property interior | 🟢 High (100%) |

#### 📍 Location & geospatial data

| Field | Type | Description | Coverage |
|---|---|---|---|
| `address` | String | Complete physical property street address | 🟢 High (100%) |
| `street` | String | Street name and building number | 🟢 High (100%) |
| `city` | String | Municipality | 🟢 High (100%) |
| `state` | String | Two-letter US state postal abbreviation | 🟢 High (100%) |
| `county` | String | County administrative jurisdiction | 🟢 High (98%) |
| `zip` | String | 5-digit postal code | 🟢 High (100%) |
| `latitude` | Number | Geocoded latitude coordinate | 🟢 High (96%) |
| `longitude` | Number | Geocoded longitude coordinate | 🟢 High (96%) |

#### 📈 Valuation, comps & investment analytics *(Details mode)*

| Field | Type | Description | Coverage |
|---|---|---|---|
| `avmValuation` | Object | Automated valuation range (low, high, estimated) | 🟡 Conditional (75%) |
| `rentalEstimate` | Object | Monthly rental rate projection (low, high, estimated) | 🟡 Conditional (70%) |
| `comparables` | Array | Recent nearby verified sales (price, date, beds, sqft) | 🟡 Conditional (65%) |
| `taxAssessment` | Object | Municipal assessed value, land value, tax year | 🟡 Conditional (60%) |
| `neighborhood` | Object | Local median prices, value trends, occupancy ratios | 🟡 Conditional (65%) |

***

### 💡 Search strategies & best practices

1. **Targeting Spread Ratios**: Filter for `assetTypes: ["FORECLOSURE"]` with `occupancyStatus: ["VACANT"]`. Calculate the ratio between `startingBid` and `estimatedValue` to rank the most lucrative equity spreads.
2. **County-Level Filings**: Use the `counties` array (e.g. `["Los Angeles, CA", "Riverside, CA"]`) to monitor regional legal filings and anticipate court-date schedules.
3. **High-Speed Sweep vs Deep Underwriting**: Run initial daily discovery scans with `includeDetails: false` to process hundreds of listings within seconds. Once high-potential assets are flagged, pass their IDs into `startUrls` with `includeDetails: true` to retrieve sold comps and rental valuations.
4. **Automated Price Alerts**: Schedule a recurring Apify run with `sort: "newest"` to ingest newly added distressed inventory directly into Slack channels or Airtable bases every morning.

***

### ⚙️ How to use

1. Select geographic parameters (`states`, `cities`, `counties`, or `nationwide`).
2. Set asset and property filters according to your investment criteria.
3. Choose whether to enable `includeDetails` for comparable sales and AVM data.
4. Configure `maxItems` and ensure `maxPages: 0` for complete pagination coverage.
5. Click **Start** in the Apify Console and download results in JSON, CSV, or Excel formats.

***

### 💻 API & Integration examples

#### cURL

```bash
curl -X POST "https://api.apify.com/v2/acts/haketa~auction-com-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "states": ["CA"],
    "assetTypes": ["BANK_OWNED", "FORECLOSURE"],
    "occupancyStatus": ["VACANT"],
    "maxItems": 100,
    "includeDetails": false
  }'
```

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "states": ["TX", "FL"],
    "priceMax": 300000,
    "bedsMin": 3,
    "includeDetails": True,
    "maxItems": 150
}

run = client.actor("haketa/auction-com-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item.get('address')} - Starting Bid: ${item.get('startingBid', 0):,}")
```

#### Node.js / JavaScript

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN',
});

const runInput = {
    states: ['CA'],
    assetTypes: ['FORECLOSURE'],
    maxItems: 50,
    includeDetails: false,
};

const run = await client.actor('haketa/auction-com-scraper').call(runInput);
const { items } = await client.dataset(run.defaultDatasetId).listItems();

console.log(`Extracted ${items.length} distressed property listings.`);
```

***

### ❓ Frequently Asked Questions

**How does deep pagination work?**
Auction.com serves search queries in offsets controlled by `pageSize` (default 200). The scraper automatically steps through consecutive offset pages until reaching the user-defined `maxItems` or until all active listings for the target location are retrieved.

**Why are starting bids sometimes null or 0?**
Certain upcoming auctions are listed in "Sale Pending" or "Upcoming" statuses prior to the court or trustee setting an official opening bid amount. Once the auction window goes live, the starting bid populates immediately.

**What is the benefit of enabling valuation and comps?**
Standard runs extract property card listings at very high speeds (~200 records per minute). Enabling `includeDetails: true` triggers an additional enrichment request per property, pulling automated AVM low/high bounds, monthly rental expectations, and nearby MLS-verified closed sales.

**What proxy settings are recommended?**
The scraper features native proxy rotation that utilizes datacenter IPs first, automatically rotating to US residential proxies when required. Keeping `{ "useApifyProxy": true }` is recommended for high reliability.

***

### 🔗 Related scrapers

- [SimplyHired Jobs Scraper](https://apify.com/haketa/simplyhired-scraper) — Extract US employment opportunities and salary data.
- [Dice Job Scraper](https://apify.com/haketa/dice-scraper) — Deep tech hiring analytics and developer skill tags.
- [Realtor.ca Scraper](https://apify.com/haketa/realtor-ca-scraper) — Canadian residential MLS real estate listings.
- [Domain.com.au Scraper](https://apify.com/haketa/domain-com-au-scraper) — Australian residential real estate and rental data.

***

### 📋 Changelog

#### v1.2 (2026-11)

- **Deep Pagination Unlock**: Unlocked 1,000+ listing offset pagination with configurable `maxPages` (0 = auto/unlimited) and removal of arbitrary page limits.
- **Fast Prefill Optimization**: Adjusted prefill limit to 50 items for rapid sample verification in under 30 seconds.
- **Empty Run Resiliency**: Implemented graceful California (`CA`) default fallback when executing without explicit geographic targets, preventing empty exit runs.
- **Schema Hardening**: Standardized integer limits to minimum 0 and cleansed dataset schemas for strict specification compliance.

#### v1.1 (2026-10)

- Enhanced valuation analysis parser extracting subject property tax assessments and transaction history.
- Added support for direct property detail URLs in `startUrls`.

#### v1.0 (2026-09)

- Initial production release supporting multi-state search, nationwide sweeps, and structured JSON/CSV exports.

# Changelog

This Actor's version history is a separate document: https://apify.com/haketa/auction-com-scraper/changelog.md

# Actor input Schema

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

US state codes to scrape (each is a separate search), e.g. CA, TX, FL. Leave empty if you use cities, counties, ZIP codes, start URLs or Nationwide.

## `cities` (type: `array`):

Cities as "City, ST" (state code recommended), e.g. "Los Angeles, CA", "Houston, TX".

## `counties` (type: `array`):

Counties as "County, ST", e.g. "Los Angeles, CA", "Cook, IL".

## `zipCodes` (type: `array`):

5-digit ZIP codes to scrape, e.g. 90001, 33101.

## `nationwide` (type: `boolean`):

Scrape active listings across the whole United States (large — combine with Maximum listings).

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

Paste Auction.com search URLs (e.g. .../residential/CA_state/) or property detail URLs (.../details/...). Detail URLs are resolved individually.

## `assetTypes` (type: `array`):

Keep only these asset types (leave empty for all).

## `propertyTypes` (type: `array`):

Keep only these property types (leave empty for all).

## `occupancyStatus` (type: `array`):

Keep only these occupancy statuses (leave empty for all).

## `priceMin` (type: `integer`):

Only listings with a starting bid at or above this amount (USD).

## `priceMax` (type: `integer`):

Only listings with a starting bid at or below this amount (USD).

## `bedsMin` (type: `integer`):

Only listings with at least this many bedrooms.

## `bathsMin` (type: `integer`):

Only listings with at least this many bathrooms.

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

How to sort results.

## `includeDetails` (type: `boolean`):

For each property, add an estimated value range (AVM), a rental estimate and nearby sold comparables. Slower and costs more.

## `maxPages` (type: `integer`):

Maximum pages of search results to fetch per location. Set to 0 for unlimited / automatic pagination governed by Maximum listings.

## `maxItems` (type: `integer`):

Stop after collecting this many listings across all searches.

## `pageSize` (type: `integer`):

Listings fetched per request (20–500). Larger is faster.

## `maxConcurrency` (type: `integer`):

How many properties to enrich in parallel when valuation & comps are on.

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

Apify Proxy is recommended. The actor uses datacenter first and falls back to US residential automatically.

## Actor input object example

```json
{
  "states": [
    "CA",
    "TX",
    "FL"
  ],
  "cities": [
    "Los Angeles, CA",
    "Houston, TX"
  ],
  "counties": [
    "Los Angeles, CA"
  ],
  "zipCodes": [
    "90001",
    "33101"
  ],
  "nationwide": false,
  "sort": "auction_date_order",
  "includeDetails": false,
  "maxPages": 0,
  "maxItems": 50,
  "pageSize": 200,
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `dataset` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "states": [
        "CA"
    ],
    "maxPages": 0,
    "maxItems": 50,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("haketa/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": ["CA"],
    "maxPages": 0,
    "maxItems": 50,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("haketa/auction-com-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": [
    "CA"
  ],
  "maxPages": 0,
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call haketa/auction-com-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,haketa/auction-com-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/unRSEK8xwLsEP6pmx/builds/tnpDNXKPO32CDLG52/openapi.json