# Realtor.com Scraper β US Real Estate Listings (`logiover/realtor-com-scraper`) Actor
Scrape US property listings from Realtor.com: price, beds, baths, sqft, lot size, address, agent/broker, photos, coordinates & status. For sale, for rent or sold. Thousands per run. No login.
- **URL**: https://apify.com/logiover/realtor-com-scraper.md
- **Developed by:** [Logiover](https://apify.com/logiover) (community)
- **Categories:** Business, E-commerce, Marketing
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $3.00 / 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
## π‘ Realtor.com Scraper β US Real Estate Listings
#### Scrape US property listings from Realtor.com at scale β price, beds, baths, sqft, lot size, address, agent, photos & coordinates. For sale, for rent or sold. No login.
**Point it at any city, ZIP or Realtor.com search URL and pull every listing with full property data β price, bedrooms, bathrooms, square footage, lot size, listing agent, photos and exact lat/lng.**
The fast way to build large US real-estate datasets, no API key required.
---
### π Overview
The **Realtor.com Scraper** collects US residential property listings from
[Realtor.com](https://www.realtor.com) and returns each one as a clean,
structured record: **price, beds, baths, sqft, lot size, property type, status,
listing agent / broker, photos and exact coordinates**. It covers homes that are
**for sale, for rent or recently sold**, and paginates each search to pull
**thousands of listings per run**.
Just enter a **location** (city + state, ZIP, county or neighborhood) and a
listing type β or paste **Realtor.com search URLs** directly. The actor reads
only **public listing data** through US residential proxies, so it needs **no
login, no cookies and no API key**.
> β
Set a location, raise `maxResults`, and assemble an **analysis-ready
> property dataset** β comps, market research, lead lists or valuation models β
> in a single run.
---
### β¨ Features
| | Feature | Description |
|---|---|---|
| π¦ | **Thousands per run** | Walks the full search result set with deep pagination. |
| π·οΈ | **Full property data** | Price, beds, baths, sqft, lot size, year built, garage & stories. |
| π | **For sale Β· for rent Β· sold** | Pick the listing type, or scrape any search URL. |
| π€ | **Agent & broker** | Listing agent name and the listing brokerage / office. |
| π | **Exact coordinates** | Lat / lng for every listing β ready for mapping & GIS. |
| πΌοΈ | **All photos** | Full image gallery URLs per property. |
| ποΈ | **Smart filters** | Min / max price, min beds, min baths and sort order. |
| β‘ | **No browser** | Lightweight API access β fast and cheap at scale. |
| π‘οΈ | **Login-free** | Public data over US residential proxies β no account needed. |
| π€ | **Any format** | Export to JSON, CSV, Excel, HTML or pull via API & webhooks. |
---
### π― Who it's for
- **Real estate investors & analysts** β pull comps and inventory by market in seconds.
- **Proptech & data teams** β feed listing data into valuation, AVM and ML models.
- **Agents & brokers** β monitor new listings, price changes and days on market.
- **Lead generation** β build targeted lists of listings, agents and brokerages.
- **Researchers** β study housing supply, pricing and trends across US metros.
---
### π§Ύ Input
| Field | Type | Description |
|-------|------|-------------|
| `location` | string | City + state, ZIP, county or neighborhood (`Austin, TX`, `90210`, `Miami, FL`). Used when no Search URLs are given. |
| `listingType` | string | `forSale`, `forRent` or `sold`. Default `forSale`. |
| `searchUrls` | array | *Optional.* Realtor.com search URLs to scrape instead of the location builder. Takes priority over `location`. |
| `minPrice` / `maxPrice` | integer | Price range filter (USD). |
| `minBeds` / `minBaths` | integer | Minimum bedrooms / bathrooms. |
| `sortBy` | string | `relevant`, `newest`, `price_low` or `price_high`. |
| `maxResults` | integer | Max listings to collect across the run. Default `200`. |
| `proxyConfiguration` | object | US residential proxy (required). Pre-configured for you. |
#### Example input
```json
{
"location": "Austin, TX",
"listingType": "forSale",
"minPrice": 250000,
"maxPrice": 750000,
"minBeds": 3,
"sortBy": "newest",
"maxResults": 1000
}
````
#### Or scrape search URLs directly
```json
{
"searchUrls": [
"https://www.realtor.com/realestateandhomes-search/Austin_TX",
"https://www.realtor.com/realestateandhomes-search/Miami_FL"
],
"maxResults": 2000
}
```
***
### π¦ Output
Each listing is saved as one structured record:
```json
{
"listingId": "2995782396",
"propertyId": "8949222794",
"url": "https://www.realtor.com/realestateandhomes-detail/801-Huntingdon-Pl_Austin_TX_78745_M89492-22794",
"status": "for_sale",
"price": 174900,
"address": "801 Huntingdon Pl",
"city": "Austin",
"state": "TX",
"postalCode": "78745",
"county": "Travis",
"lat": 30.195624,
"lng": -97.79123,
"beds": 4,
"baths": 2,
"sqft": 1137,
"lotSize": 6673,
"propertyType": "single_family",
"yearBuilt": 1971,
"garage": 1,
"stories": 1,
"listDate": "2026-05-21T23:58:33Z",
"daysOnMarket": 14,
"soldPrice": null,
"soldDate": null,
"agent": "Jane Smith",
"broker": "Kritt Real Estate, LLC",
"images": [
"http://ap.rdcpix.com/...-m2256901179s.jpg",
"http://ap.rdcpix.com/...-m2070052377s.jpg"
],
"flags": { "is_new_listing": true, "is_price_reduced": null }
}
```
#### π Output field reference
| Field | Description |
|-------|-------------|
| `price` / `soldPrice` | List price, and last sold price (for sold listings) |
| `beds` / `baths` / `sqft` / `lotSize` | Core property size metrics |
| `propertyType` | `single_family`, `townhomes`, `condos`, `land`, etc. |
| `status` | `for_sale`, `for_rent`, `sold`, `ready_to_build` |
| `address` / `city` / `state` / `postalCode` / `county` | Full address breakdown |
| `lat` / `lng` | Exact geo-coordinates |
| `yearBuilt` / `garage` / `stories` | Additional building details |
| `listDate` / `daysOnMarket` | When it was listed and how long it's been live |
| `agent` / `broker` | Listing agent and brokerage / office |
| `images` | All listing photo URLs |
| `url` | Direct link to the listing on Realtor.com |
***
### βοΈ How it works
1. You provide a **location + listing type**, or paste **Realtor.com search URLs**.
2. The actor resolves each search and walks the full result set with deep pagination.
3. Each property is parsed into a clean record with price, size, location, agent and photos.
4. Your price / beds / baths filters and sort order are applied, and results stream to the dataset, de-duplicated by property.
No login, no cookies and no API key β it reads only public listing data over US residential proxies.
***
### β FAQ
Do I need a login or API key?
No β the actor reads public listing data only. No Realtor.com account, no cookies, no developer API key.
How many listings can I get?
Thousands per run. The actor paginates the full search result set; control the volume with maxResults.
Can I scrape for-rent and sold listings too?
Yes β set listingType to forRent or sold. Sold listings include the sold price and date from the last 12 months.
Can I use my own Realtor.com search URL?
Yes β paste one or more URLs into searchUrls and they take priority over the location builder.
Why is a US residential proxy required?
Realtor.com serves US visitors and bot-protects datacenter traffic. The actor defaults to Apify's US residential proxy, which is pre-configured for you.
Are coordinates and photos included?
Yes β every listing includes exact lat/lng and the full set of listing photo URLs.
***
### π Works great with
- π **Google Maps Scraper** β enrich neighborhoods with nearby POIs.
- π§° **Web Scraper / API** β pipe listings into your own valuation or CRM workflow.
***
**Realtor.com Scraper Β· US Real Estate Scraper Β· Property Listings Scraper Β· Homes for Sale & Rent Β· Real Estate Comps Β· MLS Data Alternative Β· No-API-key Realtor data**
βοΈ Collects publicly available listing data only. You are responsible for compliance with Realtor.com's Terms and applicable laws, including bulk-access limits.
### π Changelog
#### 2026-06-04
- Verified live & refreshed build β reliability/maintenance pass.
# Actor input Schema
## `location` (type: `string`):
City + state, ZIP code, county or neighborhood to search. Examples: 'Austin, TX', 'Miami, FL', '90210', 'Brooklyn, NY'. Used when no Search URLs are given.
## `listingType` (type: `string`):
Which listings to collect for the Location above.
## `searchUrls` (type: `array`):
Optional. Paste Realtor.com search-result URLs to scrape instead of the Location builder. Example: 'https://www.realtor.com/realestateandhomes-search/Austin\_TX'. If set, these take priority over Location.
## `minPrice` (type: `integer`):
Only return listings at or above this price. Leave empty for no minimum.
## `maxPrice` (type: `integer`):
Only return listings at or below this price. Leave empty for no maximum.
## `minBeds` (type: `integer`):
Minimum number of bedrooms. Leave empty for any.
## `minBaths` (type: `integer`):
Minimum number of bathrooms. Leave empty for any.
## `sortBy` (type: `string`):
Result ordering.
## `maxResults` (type: `integer`):
Maximum number of listings to collect across the whole run. The actor paginates to thousands.
## `proxyConfiguration` (type: `object`):
Realtor.com requires US residential proxies. Leave the default (Apify Proxy Β· RESIDENTIAL Β· US).
## Actor input object example
```json
{
"location": "Austin, TX",
"listingType": "forSale",
"searchUrls": [
"https://www.realtor.com/realestateandhomes-search/Austin_TX"
],
"sortBy": "relevant",
"maxResults": 200,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
}
```
# Actor output Schema
## `address` (type: `string`):
Street address
## `price` (type: `string`):
List price
## `beds` (type: `string`):
Bedrooms
## `baths` (type: `string`):
Bathrooms
## `sqft` (type: `string`):
Living area
## `propertyType` (type: `string`):
Property type
## `status` (type: `string`):
Listing status
## `url` (type: `string`):
Listing URL
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"location": "Austin, TX",
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("logiover/realtor-com-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`πΎ 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);
});
// π Want to learn more π? Go to β 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"location": "Austin, TX",
"proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
"apifyProxyCountry": "US",
},
}
# Run the Actor and wait for it to finish
run = client.actor("logiover/realtor-com-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"location": "Austin, TX",
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
}' |
apify call logiover/realtor-com-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=logiover/realtor-com-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Realtor.com Scraper β US Real Estate Listings",
"description": "Scrape US property listings from Realtor.com: price, beds, baths, sqft, lot size, address, agent/broker, photos, coordinates & status. For sale, for rent or sold. Thousands per run. No login.",
"version": "1.0",
"x-build-id": "p7de5cJUMvZsobgta"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/logiover~realtor-com-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-logiover-realtor-com-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/logiover~realtor-com-scraper/runs": {
"post": {
"operationId": "runs-sync-logiover-realtor-com-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/logiover~realtor-com-scraper/run-sync": {
"post": {
"operationId": "run-sync-logiover-realtor-com-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"location": {
"title": "Location",
"type": "string",
"description": "City + state, ZIP code, county or neighborhood to search. Examples: 'Austin, TX', 'Miami, FL', '90210', 'Brooklyn, NY'. Used when no Search URLs are given."
},
"listingType": {
"title": "Listing type",
"enum": [
"forSale",
"forRent",
"sold"
],
"type": "string",
"description": "Which listings to collect for the Location above.",
"default": "forSale"
},
"searchUrls": {
"title": "Search URLs (optional)",
"type": "array",
"description": "Optional. Paste Realtor.com search-result URLs to scrape instead of the Location builder. Example: 'https://www.realtor.com/realestateandhomes-search/Austin_TX'. If set, these take priority over Location.",
"items": {
"type": "string"
}
},
"minPrice": {
"title": "Min price ($)",
"minimum": 0,
"type": "integer",
"description": "Only return listings at or above this price. Leave empty for no minimum."
},
"maxPrice": {
"title": "Max price ($)",
"minimum": 0,
"type": "integer",
"description": "Only return listings at or below this price. Leave empty for no maximum."
},
"minBeds": {
"title": "Min beds",
"minimum": 0,
"type": "integer",
"description": "Minimum number of bedrooms. Leave empty for any."
},
"minBaths": {
"title": "Min baths",
"minimum": 0,
"type": "integer",
"description": "Minimum number of bathrooms. Leave empty for any."
},
"sortBy": {
"title": "Sort by",
"enum": [
"relevant",
"newest",
"price_low",
"price_high"
],
"type": "string",
"description": "Result ordering.",
"default": "relevant"
},
"maxResults": {
"title": "Max results",
"minimum": 1,
"type": "integer",
"description": "Maximum number of listings to collect across the whole run. The actor paginates to thousands.",
"default": 200
},
"proxyConfiguration": {
"title": "Proxy",
"type": "object",
"description": "Realtor.com requires US residential proxies. Leave the default (Apify Proxy Β· RESIDENTIAL Β· US).",
"default": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```