# United Real Estate Homes for Sale Scraper (`crawlerbros/united-real-estate-scraper`) Actor

Search United Real Estate for homes for sale by city, state, ZIP code, or keyword. Filter by property type, listing status, price, beds/baths, and size. Get address, price, beds/baths/sqft, photo, listing status, and listing brokerage.

- **URL**: https://apify.com/crawlerbros/united-real-estate-scraper.md
- **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community)
- **Categories:** Real estate, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## United Real Estate Scraper

Scrape **United Real Estate** homes-for-sale listings by city, state, ZIP code, or keyword. Filter by property type, listing status, price, bedrooms/bathrooms, and square footage. Get address, price, beds/baths/sqft, photo, listing status, and listing brokerage for every result. No auth, no login, no cookies, no proxy required.

### What this actor does

- **Nationwide search:** any US city + state, ZIP code, or free-text keyword
- **11 property types:** single family, multi-family, condo/townhome, farm/ranch, land, commercial, mobile, waterfront, and more
- **3 listing statuses:** active, pending, coming soon
- **8 numeric filters:** price range, bedroom range, bathroom range, square footage range
- **7 sort orders:** recommended, property size, year built, and price (each ascending/descending where applicable)
- **Empty fields are omitted** — a field only appears on a record when United Real Estate actually published a value for it (e.g. land listings without bedroom/bathroom counts simply omit those fields)

### Output per listing

- `listingId` — United Real Estate's internal listing ID
- `url` — the listing's page on unitedrealestate.com
- `imageUrl` — primary listing photo
- `fullAddress`, `streetAddress`, `city`, `state`, `zipCode`
- `price`, `pricePerSqft`
- `listingStatus` (`Active`, `Pending`, `Coming Soon`)
- `bedrooms`, `bathrooms`, `squareFeet`
- `listedByBroker` — listing brokerage name
- `searchLocation` — the location/keyword you searched
- `recordType: "listing"`, `scrapedAt`

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `city` | string | `Austin` | City to search |
| `state` | select | `TX` | US state (dropdown of all 50 states + DC) |
| `zipCode` | string | – | Search by ZIP code instead of city/state |
| `keyword` | string | – | Free-text keyword search (nationwide if no location given) |
| `propertyTypes` | array | – | One or more property types (see below) |
| `listingStatuses` | array | – | One or more of `Active`, `Pending`, `Coming Soon` |
| `minPrice` / `maxPrice` | int | – | Price range in USD |
| `minBedrooms` / `maxBedrooms` | int | – | Bedroom count range |
| `minBathrooms` / `maxBathrooms` | int | – | Bathroom count range |
| `minSqft` / `maxSqft` | int | – | Interior square footage range |
| `sortBy` | string | `recommended` | Result ordering |
| `maxItems` | int | `50` | Hard cap on emitted listings (results are paged 250 at a time) |

Property types: Single Family / Detached, Multi-family, Condo / Townhome / Apartment, Farm / Ranch, Lot and Land, Commercial, Mobile, Waterfront, Other, Industrial, Recreational.

### Example: single-family homes in Austin, TX under $700K

```json
{
  "city": "Austin",
  "state": "TX",
  "propertyTypes": ["1"],
  "maxPrice": 700000,
  "minBedrooms": 3,
  "sortBy": "ListPrice",
  "maxItems": 100
}
```

#### Example: search by ZIP code

```json
{
  "zipCode": "78701",
  "maxItems": 50
}
```

#### Example: nationwide keyword search

```json
{
  "keyword": "waterfront",
  "minPrice": 200000,
  "maxItems": 100
}
```

#### Example: pending condos in Naples, FL

```json
{
  "city": "Naples",
  "state": "FL",
  "propertyTypes": ["3"],
  "listingStatuses": ["10005"],
  "maxItems": 50
}
```

### Use cases

- **Homebuyers & relocation services** — build a filtered listing feed for a target city or ZIP code
- **Real estate investors** — screen listings by price, size, and property type across markets
- **PropTech & market research** — track inventory counts and pricing by city over time
- **Land & farm buyers** — search the Farm/Ranch and Lot-and-Land categories specifically
- **Agents & brokers** — monitor competing listings in a target area

### FAQ

**What is the data source?**
United Real Estate's public search results (unitedrealestate.com) — the same data shown to any visitor searching the site, no account required.

**Is this affiliated with United Real Estate?**
No. This is an independent, third-party actor that reads United Real Estate's public search results.

**Why do some listings lack `bedrooms`, `bathrooms`, or `squareFeet`?**
Land, farm/ranch, and commercial listings often don't have these attributes in the source data. The actor never fabricates a value — the field is simply omitted.

**Can I search any US location?**
Yes — `city` + `state`, a `zipCode`, or a nationwide `keyword` search all work. If nothing matches, the run finishes with 0 records and a status message explaining why.

**How many listings can I get in one run?**
Each search page returns up to 250 matching listings; the actor automatically pages through further results (up to `maxItems`, capped at 2000) for broad searches with more matches.

**How fresh is the data?**
Each run reflects United Real Estate's live search results at request time — there is no caching layer in this actor.

# Actor input Schema

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

City to search, e.g. `Austin`. Leave blank to search by ZIP code or keyword instead.

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

US state to restrict the search to. Leave blank to search by ZIP code or keyword instead.

## `zipCode` (type: `string`):

Search by ZIP code instead of city/state.

## `keyword` (type: `string`):

Free-text keyword search (searched nationwide if no city/state/ZIP is set).

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

Restrict to one or more property types. Empty = all types.

## `listingStatuses` (type: `array`):

Restrict to one or more listing statuses. Empty = active listings only (site default).

## `minPrice` (type: `integer`):

Minimum listing price.

## `maxPrice` (type: `integer`):

Maximum listing price.

## `minBedrooms` (type: `integer`):

Minimum number of bedrooms.

## `maxBedrooms` (type: `integer`):

Maximum number of bedrooms.

## `minBathrooms` (type: `integer`):

Minimum number of bathrooms.

## `maxBathrooms` (type: `integer`):

Maximum number of bathrooms.

## `minSqft` (type: `integer`):

Minimum interior square footage.

## `maxSqft` (type: `integer`):

Maximum interior square footage.

## `sortBy` (type: `string`):

Result ordering.

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

Hard cap on emitted listings. Results are fetched 250 at a time (one page); set higher than 250 to page through more of a broad search's matches.

## Actor input object example

```json
{
  "city": "Austin",
  "state": "TX",
  "propertyTypes": [],
  "listingStatuses": [],
  "sortBy": "recommended",
  "maxItems": 50
}
```

# Actor output Schema

## `listings` (type: `string`):

Dataset containing all scraped United Real Estate home listings.

# 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 = {
    "city": "Austin",
    "state": "TX",
    "propertyTypes": [],
    "listingStatuses": [],
    "sortBy": "recommended",
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawlerbros/united-real-estate-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 = {
    "city": "Austin",
    "state": "TX",
    "propertyTypes": [],
    "listingStatuses": [],
    "sortBy": "recommended",
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("crawlerbros/united-real-estate-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 '{
  "city": "Austin",
  "state": "TX",
  "propertyTypes": [],
  "listingStatuses": [],
  "sortBy": "recommended",
  "maxItems": 50
}' |
apify call crawlerbros/united-real-estate-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,crawlerbros/united-real-estate-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/7VDgTYlQ02IvqW55S/builds/r4mYj9IGqw30sGzUr/openapi.json