# Realtor.com Scraper (`scraptivo/realtor-scraper`) Actor

Collects Realtor.com property listings with full search filters — price, beds, baths, property type, features, tours, HOA, commute, and more. Returns structured listing records for market research, price analysis, and investment.

- **URL**: https://apify.com/scraptivo/realtor-scraper.md
- **Developed by:** [Scraptivo](https://apify.com/scraptivo) (community)
- **Categories:** Real estate, Developer tools, MCP servers
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.30 / 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?

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

**Realtor.com Scraper** collects property listings from Realtor.com — price, beds, baths, square footage, lot size, photos, and location — and turns them into structured data for market research, price analysis, and investment. Search by city, neighborhood, or ZIP code, apply 30+ filters, run the Actor, and export listings to JSON, CSV, or Excel. Use it to track home values, monitor inventory, and find investment opportunities. Pay per event: $2 per 1,000 listings.

### What can you automate with Realtor.com Scraper?

- **Build property databases** — collect pricing, beds, baths, square footage, lot size, photos, and listing details from any Realtor.com search.
- **Monitor market trends** — track price changes, new listings, sold data, and inventory across cities, ZIP codes, or neighborhoods.
- **Filter with precision** — apply price range, bedrooms, bathrooms, property type, features, keywords, commute time, HOA fees, and open houses.
- **Cover active and sold listings** — capture current inventory, recent sales, pending, and contingent properties in one run.
- **Search by location or ZIP** — search a city or neighborhood, or supply multiple ZIP codes for targeted coverage.
- **Export anywhere** — download clean JSON for Excel, Google Sheets, Tableau, or any data pipeline.

### Who is this scraper for?

| Team | Workflow |
|---|---|
| Market researchers | Analyze pricing trends, inventory, and property characteristics across markets |
| Investors | Find undervalued properties, track foreclosures, and evaluate ROI |
| Real estate professionals | Monitor price drops, new listings, and market activity in specific areas |
| Data teams | Feed structured property data into CRMs, dashboards, or models |

### What data can you collect from Realtor.com?

| Data group | Example fields | How it helps |
|---|---|---|
| Property identity | `propertyId`, `listingId`, `url` | Match and deduplicate listings by their Realtor.com ID |
| Price & status | `listPrice`, `status`, `listDate`, `isNewListing` | Spot asking price, activity status, and freshness |
| Home details | `beds`, `baths`, `squareFeet`, `lotSquareFeet`, `propertyType` | Compare homes by size and type |
| Location | `address`, `city`, `state`, `zipCode`, `latitude`, `longitude` | Map listings and filter by geography |
| Media | `primaryPhotoUrl`, `photoCount` | Preview the listing and its photo coverage |

### How to use Realtor.com Scraper

1. Open the Actor on Apify.
2. Enter a city or neighborhood (for example "Austin, TX") or one or more ZIP codes.
3. Apply optional filters for price, beds, baths, property type, and features.
4. Set `maxItems` to cap the number of listings.
5. Run the Actor and export the dataset to JSON, CSV, or Excel.

```json
{
    "searchLocation": "Austin, TX",
    "maxItems": 50,
    "listingStatus": ["active"],
    "minPrice": 150000,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}
```

### Example workflow

#### Build a weekly list of new listings in a target area

1. Run a search for one or more ZIP codes every Monday.
2. Keep listings where `isNewListing` is true or the price changed since last week.
3. Send new records to Google Sheets or a CRM.
4. Deduplicate using the stable `propertyId` value.

### Automate and integrate your results

- **Schedules** — run daily to catch new listings and price changes, or weekly per ZIP code for market snapshots.
- **Webhooks** — trigger a webhook on run completion to update a database, spreadsheet, or notification pipeline automatically.
- **Integrations** — push results to Google Sheets, Make, Zapier, Slack, a CRM, or cloud storage, or call the Actor from the Apify API.
- **Deduplication** — each listing is identified by its `propertyId`; deduplicate runs on `propertyId` before ingesting.

### Input reference

| Field | Type | Required | Default | What it controls |
|---|---|---|---:|---|
| `searchLocation` | string | optional | — | City, neighborhood, or address, e.g. "Austin, TX" |
| `zipCodes` | array | optional | — | US ZIP codes to search, e.g. \["78702"] |
| `maxItems` | integer | optional | 50 | Maximum listings to collect (0 = unlimited) |
| `sortBy` | string | optional | relevant | Sort: relevant, newest, lowest\_price, highest\_price, open\_house\_date, recently\_reduced, lot\_size, photo\_count |
| `minPrice` | integer | optional | — | Minimum list price in USD |
| `maxPrice` | integer | optional | — | Maximum list price in USD |
| `priceReduced` | boolean | optional | false | Only listings reduced in the last 30 days |
| `builderPromotions` | boolean | optional | false | Only listings with builder promotions |
| `bedrooms` | array | optional | — | Bedrooms: studio, 1, 2, 3, 4, 5\_plus |
| `bathrooms` | array | optional | — | Bathrooms: 1, 2, 3, 4, 5\_plus |
| `propertyTypes` | array | optional | — | house, condo, townhouse, multi\_family, mobile, land, farm |
| `listingStatus` | array | optional | \[active] | active, pending, contingent, sold |
| `listingTypes` | array | optional | — | existing\_homes, foreclosures, new\_construction, 55\_plus\_community, auction |
| `soldWithinMonths` | integer | optional | 6 | Limit sold listings to sales within N months (1–36) |
| `tours` | array | optional | — | open\_house, three\_d\_tour, virtual\_tour |
| `daysOnRealtor` | integer | optional | — | Only listings added within N days (2, 7, 14, 21, 30) |
| `minSquareFeet` | integer | optional | — | Minimum interior square footage |
| `maxSquareFeet` | integer | optional | — | Maximum interior square footage |
| `minLotSizeSqft` | integer | optional | — | Minimum lot size in square feet |
| `maxLotSizeSqft` | integer | optional | — | Maximum lot size in square feet |
| `minHomeAgeYears` | integer | optional | — | Minimum home age in years |
| `maxHomeAgeYears` | integer | optional | — | Maximum home age in years |
| `maxHoaFeePerMonth` | integer | optional | — | Maximum monthly HOA fee in USD |
| `garageSpaces` | integer | optional | — | Minimum garage spaces (1–3) |
| `stories` | string | optional | — | single or multiple |
| `keywords` | array | optional | — | Keyword filters such as pool, gated, waterfront |
| `features` | array | optional | — | Interior, exterior, view, and community feature tags |
| `commuteAddress` | string | optional | — | Destination address for commute-time filtering |
| `commuteMode` | string | optional | — | walking, cycling, transit, driving |
| `maxCommuteMinutes` | integer | optional | — | Maximum commute time from destination (10–60) |
| `searchRadiusMiles` | integer | optional | — | Expand search radius around the location in miles |
| `proxyConfiguration` | object | optional | residential | Proxy settings for reliable Realtor.com access |

### Output example

```json
{
    "propertyId": "9607103106",
    "listingId": "2997598864",
    "url": "https://www.realtor.com/realestateandhomes-detail/31015-Neal-St_Austin_TX_78702_M96071-03106",
    "status": "for_sale",
    "listPrice": 1100000,
    "listDate": "2026-06-24T04:15:09.000000Z",
    "propertyType": "single_family",
    "beds": 4,
    "baths": "2.5+",
    "squareFeet": 2538,
    "lotSquareFeet": 2309,
    "address": "3101.5 Neal St, Austin, TX, 78702",
    "city": "Austin",
    "state": "TX",
    "zipCode": "78702",
    "latitude": 30.265224,
    "longitude": -97.703499,
    "primaryPhotoUrl": "https://ap.rdcpix.com/6e0c453a2d46d2fce84428317a99692dl-m2570498838s.jpg",
    "photoCount": 15,
    "isNewListing": true,
    "isNewConstruction": true
}
```

### How much does it cost to scrape Realtor.com?

The Actor uses pay-per-event billing, so you pay only for the data you receive:

- **$2 per 1,000 listings** — charged as a `dataset-item` event for every listing saved to the dataset.
- **$0.00005 per run** — a one-time actor-start event.

Higher Apify plans (Bronze, Silver, Gold) apply discounted per-event rates, from about $1.70 down to $1.30 per 1,000 listings.

### Reliability and responsible use

- **Proxy** — Apify Residential proxies are recommended for reliable access; the default configuration enables them.
- **Filter accuracy** — filters are passed through to Realtor.com search, so results reflect the platform's own criteria.
- **Conditional fields** — some fields (for example `baths` as a range, or `isNewConstruction`) can be null when Realtor.com does not publish a value.
- **Public data** — the Actor collects publicly listed property information.
- **Lawful use** — you are responsible for using collected data in line with Realtor.com's terms and applicable laws.

### Frequently asked questions

#### Can I search by ZIP code instead of a location?

Yes. Supply one or more US ZIP codes in `zipCodes`, alone or together with `searchLocation`, to target specific areas.

#### Can I collect sold listings?

Yes. Add `sold` to `listingStatus`, and use `soldWithinMonths` to limit results to recent sales.

#### What counts as one result?

Each listing saved to the dataset bills one `dataset-item` event, at $2 per 1,000 listings.

#### Why are some fields empty?

Fields like `isNewConstruction` or the exact `baths` value can be null when Realtor.com does not publish them. Listing detail depends on what each property exposes.

#### How do I avoid duplicate records?

Deduplicate by `propertyId`, which is stable across runs. You can also cap output with `maxItems`.

#### Do I need a proxy?

Realtor.com may limit requests without one. Keep the default Apify Residential proxy enabled in `proxyConfiguration` for reliable results.

### Related Scraptivo automations

- **[Redfin Scraper](https://apify.com/scraptivo/redfin-scraper)** — collect Redfin property listings and market data.
- **[Zillow Scraper](https://apify.com/scraptivo/zillow-scraper)** — collect Zillow property listings and market data.
- **[Rightmove Scraper](https://apify.com/scraptivo/rightmove-scraper)** — collect Rightmove property listings.
- **[Apartments.com Scraper](https://apify.com/scraptivo/apartments-scraper)** — collect rental listings from Apartments.com.
- **[Zillow Agents](https://apify.com/scraptivo/zillow-agents)** — collect real estate agent leads from Zillow.

### Support and custom workflows

Need a different field, source, or delivery workflow? Contact Scraptivo at scraptivo@gmail.com. Include the Actor name, a sample URL, the required fields, and expected volume so we can assess the request.

# Actor input Schema

## `searchLocation` (type: `string`):

City, neighborhood, or address to search — e.g. "Austin, TX". Optional if zipCodes is provided.

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

US ZIP codes to search — e.g. \["78702", "78704"]. Can be used alone or together with Search location.

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

Maximum number of listings to scrape (0 = unlimited).

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

How search results are ordered.

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

Minimum list price in USD.

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

Maximum list price in USD.

## `priceReduced` (type: `boolean`):

Only show listings with a price reduction in the last 30 days.

## `builderPromotions` (type: `boolean`):

Only show listings with builder promotions.

## `bedrooms` (type: `array`):

Filter by number of bedrooms. Select multiple options.

## `bathrooms` (type: `array`):

Minimum bathroom count — select one or more.

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

Property types to include.

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

Listing activity status filters.

## `listingTypes` (type: `array`):

Special listing categories.

## `soldWithinMonths` (type: `integer`):

When searching sold listings, limit to sales within this many months (1, 3, 6, 12, 24, or 36).

## `tours` (type: `array`):

Filter by open houses and virtual/3D tours.

## `daysOnRealtor` (type: `integer`):

Only listings added within this many days (2, 7, 14, 21, or 30).

## `minSquareFeet` (type: `integer`):

Minimum interior square footage.

## `maxSquareFeet` (type: `integer`):

Maximum interior square footage.

## `minLotSizeSqft` (type: `integer`):

Minimum lot size in square feet.

## `maxLotSizeSqft` (type: `integer`):

Maximum lot size in square feet.

## `minHomeAgeYears` (type: `integer`):

Minimum age of the home in years.

## `maxHomeAgeYears` (type: `integer`):

Maximum age of the home in years.

## `maxHoaFeePerMonth` (type: `integer`):

Maximum monthly HOA fee in USD (50–3000).

## `garageSpaces` (type: `integer`):

Minimum number of garage spaces (1, 2, or 3).

## `stories` (type: `string`):

Number of stories.

## `keywords` (type: `array`):

Keyword filters such as pool, gated, pond, basement, waterfront.

## `features` (type: `array`):

Interior, exterior, view, and community feature tags.

## `commuteAddress` (type: `string`):

Destination address for commute-time filtering.

## `commuteMode` (type: `string`):

Transportation mode for commute filter.

## `maxCommuteMinutes` (type: `integer`):

Maximum commute time from the destination address (10–60).

## `searchRadiusMiles` (type: `integer`):

Expand search radius around the location in miles.

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

Apify proxy settings — residential proxies recommended.

## Actor input object example

```json
{
  "searchLocation": "Austin, TX",
  "zipCodes": [
    "78702"
  ],
  "maxItems": 50,
  "sortBy": "relevant",
  "priceReduced": false,
  "builderPromotions": false,
  "listingStatus": [
    "active"
  ],
  "soldWithinMonths": 6,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Scraped property listings

## `runStats` (type: `string`):

Run metadata including recordsScraped and timestamps

## `input` (type: `string`):

Copy of the input used for this run

# 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 = {
    "searchLocation": "Austin, TX",
    "zipCodes": [
        "78702"
    ],
    "maxItems": 50,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scraptivo/realtor-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 = {
    "searchLocation": "Austin, TX",
    "zipCodes": ["78702"],
    "maxItems": 50,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("scraptivo/realtor-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 '{
  "searchLocation": "Austin, TX",
  "zipCodes": [
    "78702"
  ],
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call scraptivo/realtor-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scraptivo/realtor-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/HnXPLdb0sLDmNmx3l/builds/7NtzrXftG2AJZw4Al/openapi.json