# Realtor.com Property Listings Scraper (`neuro-scraper/realtor-com-property-listings-scraper`) Actor

Realtor.com Property Listings Scraper SD - Realtor.com Property Listings Scraper is a real estate data tool that extracts for-sale, for-rent and sold US listings by location or search URL: price, beds, baths, sqft, address, GPS, photos, history, taxes, schools, estimates.

- **URL**: https://apify.com/neuro-scraper/realtor-com-property-listings-scraper.md
- **Developed by:** [Neuro Scraper](https://apify.com/neuro-scraper) (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 $2.49 / 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/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

./README.md

# Actor input Schema

## `searchLocations` (type: `array`):

What you would type in realtor.com's search box, one per line: a city (Austin, TX), ZIP code (78737), county (Travis County, TX), neighborhood (Downtown, Austin, TX) or a state code (TX). Each line is one search with the filters below.

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

realtor.com search pages (https://www.realtor.com/realestateandhomes-search/Austin_TX/beds-3/price-300000-500000, /apartments/Austin_TX, .../show-recently-sold), property pages (https://www.realtor.com/realestateandhomes-detail/...\_M99819-46398) or bare property IDs (9981946398). Filters in the URL path are kept; the filters below fill in what the URL does not set.

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

Only listings whose description matches these words - realtor.com's own keyword filter (e.g. pool, roof, basement). Several keywords: separate them with commas.

## `listingStatus` (type: `array`):

Which listings each location search returns (several can be combined). Search URLs keep their own status (/apartments = for rent, show-recently-sold = sold).

## `propertyType` (type: `array`):

Only these property types (empty = all types).

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

Minimum number of bedrooms (realtor.com filter).

## `bedsMax` (type: `integer`):

Maximum number of bedrooms.

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

Minimum number of bathrooms.

## `bathsMax` (type: `integer`):

Maximum number of bathrooms.

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

Lowest list price (monthly rent for rentals).

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

Highest list price (monthly rent for rentals).

## `sqftMin` (type: `integer`):

Smallest home size in square feet.

## `sqftMax` (type: `integer`):

Largest home size in square feet.

## `lotSqftMin` (type: `integer`):

Smallest lot in square feet (1 acre = 43,560 sqft).

## `lotSqftMax` (type: `integer`):

Largest lot in square feet.

## `yearBuiltMin` (type: `integer`):

Earliest year built, e.g. 2015.

## `yearBuiltMax` (type: `integer`):

Latest year built.

## `hoaFeeMax` (type: `integer`):

Highest monthly HOA fee.

## `noHoaFee` (type: `boolean`):

Only homes without an HOA fee.

## `daysOnMarket` (type: `integer`):

Only listings first listed within this many days (e.g. 7 = new this week). Empty = any age.

## `soldWithin` (type: `string`):

For status Recently sold: only homes sold within this many months.

## `soldDateMin` (type: `string`):

For status Recently sold: earliest sale date, e.g. 2026-01-01.

## `soldDateMax` (type: `string`):

For status Recently sold: latest sale date.

## `radius` (type: `integer`):

Widen each location search by this many miles (realtor.com's search buffer; 0 = the location only).

## `pending` (type: `boolean`):

Only listings marked pending.

## `contingent` (type: `boolean`):

Only contingent listings.

## `foreclosure` (type: `boolean`):

Only foreclosure listings.

## `newConstruction` (type: `boolean`):

Only new construction.

## `hasTour` (type: `boolean`):

Only listings with a virtual tour.

## `matterport` (type: `boolean`):

Only listings with a Matterport 3D tour.

## `cats` (type: `boolean`):

For rent: only places that allow cats.

## `dogs` (type: `boolean`):

For rent: only places that allow dogs.

## `tags` (type: `array`):

realtor.com listing tags the home must have, as they appear in the 'tags' output column, e.g. swimming_pool, garage_2_or_more, central_air, view.

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

Order in which the results are collected.

## `sortDirection` (type: `string`):

Direction for Sort by.

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

Also fetch each home's detail block: feature lists, price / sale history, tax history, schools, value estimates (current, history, forecast), flood / wildfire scores and the mortgage estimate. 10 homes per extra request.

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

Listings per location / search URL. realtor.com pages 200 listings at a time; past its 10,000-results-per-search limit the Actor splits the search into price bands automatically.

## `timeoutSecs` (type: `integer`):

Stop collecting after this many seconds and keep what was scraped (0 = no limit besides the run timeout).

## `requestTimeoutSecs` (type: `integer`):

How long one request to realtor.com may take before it is retried on a new connection.

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

realtor.com is a US site: RESIDENTIAL US is the default. A failed request is retried on a new IP.

## Actor input object example

```json
{
  "searchLocations": [
    "Austin, TX"
  ],
  "listingStatus": [
    "for_sale"
  ],
  "propertyType": [],
  "noHoaFee": false,
  "soldWithin": "",
  "radius": 0,
  "pending": false,
  "contingent": false,
  "foreclosure": false,
  "newConstruction": false,
  "hasTour": false,
  "matterport": false,
  "cats": false,
  "dogs": false,
  "sortBy": "list_date",
  "sortDirection": "desc",
  "includeDetails": true,
  "maxItems": 50,
  "timeoutSecs": 0,
  "requestTimeoutSecs": 40,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# 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 = {
    "searchLocations": [
        "Austin, TX"
    ],
    "listingStatus": [
        "for_sale"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("neuro-scraper/realtor-com-property-listings-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 = {
    "searchLocations": ["Austin, TX"],
    "listingStatus": ["for_sale"],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("neuro-scraper/realtor-com-property-listings-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 '{
  "searchLocations": [
    "Austin, TX"
  ],
  "listingStatus": [
    "for_sale"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call neuro-scraper/realtor-com-property-listings-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuro-scraper/realtor-com-property-listings-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/oSRkaqOM2NCWHBIJn/builds/T3D4gKSshKf0NJwga/openapi.json