# Realtor.com Property Listings Scraper (`parseforge/realtor-com-scraper`) Actor

Collect property listings from Realtor.com with prices, photos, agent contacts, and full property details. Search by location, filter by beds, baths, price range, square footage, lot size, and listing status. Supports for-sale, for-rent, and recently sold listings across all US markets.

- **URL**: https://apify.com/parseforge/realtor-com-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Real estate, Lead generation, Other
- **Stats:** 4 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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/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

![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true)

## 🏠 Realtor.com Property Listings Scraper

> 🕒 **Last updated:** 2026-05-05


Collect structured Realtor.com property listings from search pages or direct start URLs in minutes. This actor is built for real estate analysts, investment teams, lead generation workflows, and operations teams that need clean listing data without manual browsing.

Use it to monitor prices, compare inventory by area, track listing freshness, analyze property specs, and export listing data for reporting, benchmarking, and acquisition research.

> **The Realtor.com Property Listings Scraper returns 60+ structured output fields, including pricing, specs, geodata, listing status signals, and optional detail metadata like tax history, schools, and risk context.**

### ✨ What Does It Do

- 🧭 Collect listings using either `startUrl`/`startUrls` or search/filter inputs.
- 💵 Capture list price, sold signals, source price per sqft, and calculated pricing metrics.
- 📍 Extract address, city, state, ZIP, county, and coordinates for mapping and geographic analysis.
- 🏘 Parse listing specs such as beds, baths, sqft, lot size, property type, and year built.
- 👤 Capture brokerage and agent listing fields when available.
- 🖼 Return media fields including main image, photo gallery, and virtual tour links.
- ✅ Extract status flags like new listing, reduced price, foreclosure, pending, and contingent.
- 📊 Add value fields like listing age, sold age, price per bedroom, price per bathroom, school coverage, and latest tax indicators.
- 🔎 Optionally enrich each listing with `history`, `taxHistory`, `nearbySchools`, `localRisk`, and `floorplans`.

### 🔧 Input

- **Start URL / Start URLs**: Provide one or more Realtor URLs (search or detail) to crawl directly.
- **Max Items**: Maximum total records to collect in the run.
- **Max Items Per Start URL**: Optional cap per seed URL when using multiple start URLs.
- **Search + Mode**: Build search runs via keyword/location and mode (`BUY`, `RENT`, `SOLD`).
- **Location + Filters**: Use location with status/type/price/beds/baths/sqft/year filters.
- **End Page**: Optional last page per seed for controlled pagination.
- **Include Details / Include Floorplans**: Enrich with deeper listing details.
- **Proxy Configuration**: Recommended for stable larger runs.

Important mode rule:
- Use `startUrl`/`startUrls` **or** search/filter inputs.
- If both are provided, the actor returns an input error by design.

Example JSON input:

```json
{
  "startUrl": "https://www.realtor.com/realestateandhomes-search/Anchorage_AK",
  "maxItems": 50,
  "includeDetails": true,
  "includeFloorplans": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
````

```json
{
  "search": "Anchorage, AK",
  "mode": "BUY",
  "minBeds": 2,
  "minBaths": 2,
  "minPrice": 250000,
  "maxPrice": 900000,
  "maxItems": 100
}
```

### 📊 Output

Download your results in CSV, Excel, or JSON.

| 🖼 Image URL | 💵 List Price | 🏠 Listing URL |
|---|---|---|
| 📍 Address | 🏙 City | 🏷 State/ZIP |
| 🛏 Beds | 🛁 Baths | 📐 Sqft |
| 🧱 Property Type | 🏗 Year Built | 📅 List Date |
| ✅ Status Flags | 📸 Photos | 🎥 Virtual Tours |
| 📈 Listing Age | 🧮 Price/Sqft (Calc) | 🏫 School Signals |
| 🧾 Tax Indicators | 🛰 Coordinates | ⏱ Scraped At |

When available, the actor also returns richer detail fields like property history events, tax history rows, local risk fields, floorplans, and additional listing context.

### 💎 Why Choose the Realtor.com Property Listings Scraper?

This actor combines URL mode and filter mode in one workflow, so you can run reproducible URL collections and broad market scans without switching tools. It also includes value analytics fields to make the dataset immediately useful for pricing, inventory, and acquisition decisions.

It is built for practical production use. You can cap globally with `maxItems`, cap per seed with `maxItemsPerStartUrl`, and enrich details only when needed to balance speed and depth.

### 📋 How to Use

No technical skills required.

1. **Sign Up**: [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp)
2. **Open the Actor**: Find the Realtor.com Property Listings Scraper in the Apify Store.
3. **Set Your Input**: Use URL mode or search/filter mode (not both).
4. **Run the Actor**: Start the run and let it collect listing data.
5. **Download the Results**: Export your dataset in CSV, Excel, or JSON.

### 🎯 Business Use Cases

- **Real Estate Research Teams**
  - Track listing volume and pricing changes by city, ZIP, or property type.
  - Compare price per sqft and listing age signals across neighborhoods.
  - Build recurring market snapshots for inventory trend analysis.
  - Monitor sold windows and turnover behavior in target areas.

- **Investment and Acquisition Teams**
  - Filter by specs and budget ranges to identify candidate inventory quickly.
  - Prioritize opportunities with enriched history/tax/school context.
  - Export normalized records for underwriting and scoring pipelines.
  - Run scheduled collections for watchlists and alerting workflows.

***

### ✨ Why choose this Actor

| | Capability |
|---|---|
| 🎯 | **Built for the job.** Scoped specifically to this data source so you skip the parser engineering entirely. |
| 🔖 | **Structured output.** Clean, typed fields ready for analysis, dashboards, or downstream pipelines. |
| ⚡ | **Fast.** Optimized request patterns return results in seconds, not minutes. |
| 🔁 | **Always fresh.** Every run pulls live data, so the dataset reflects the source as of run time. |
| 🌐 | **No infra to manage.** Apify handles proxies, retries, scaling, scheduling, and storage. |
| 🛡️ | **Reliable.** Battle-tested across many runs and edge cases, with graceful error handling. |
| 🚫 | **No code required.** Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK. |

> 📊 Production-grade structured data without the engineering overhead of building and maintaining your own scraper.

***

### 📈 How it compares to alternatives

| Approach | Cost | Coverage | Refresh | Filters | Setup |
|---|---|---|---|---|---|
| **⭐ Realtor.com Property Listings Scraper** *(this Actor)* | $5 free credit, then pay-per-use | Full source coverage | **Live per run** | Source-native filters supported | ⚡ 2 min |
| Build your own scraper | Engineering hours | Full once built | Whenever you maintain it | Custom code | 🐢 Days to weeks |
| Paid managed APIs | $$$ monthly | Vendor-defined | Live | Vendor-defined | ⏳ Hours |
| Third-party data dumps | Varies | Subset, often stale | Periodic | None | 🕒 Variable |

Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance.

***

### 🚀 How to use

1. 📝 **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes).
2. 🌐 **Open the Actor.** Go to the Realtor.com Property Listings Scraper page on the Apify Store.
3. 🎯 **Set input.** Configure the input fields in the form (or paste a JSON), then set `maxItems`.
4. 🚀 **Run it.** Click **Start** and let the Actor collect your data.
5. 📥 **Download.** Grab your results in the **Dataset** tab as CSV, Excel, JSON, or XML.

> ⏱️ Total time from signup to downloaded dataset: **3-5 minutes.** No coding required.

***

### 💼 Business use cases

<table>
<tr>
<td width="50%" valign="top">

#### 📊 Data & Analytics

- Build trend reports and dashboards from live source data
- Feed BI tools, warehouses, and ML pipelines with structured records
- Run periodic snapshots to track changes over time
- Compare segments, regions, or categories with consistent fields

</td>
<td width="50%" valign="top">

#### 🏢 Operations & Strategy

- Monitor competitor moves, pricing, and inventory shifts
- Build internal directories and lookup tools backed by current data
- Power workflows that depend on fresh source records
- Cut manual data-gathering time from hours to minutes

</td>
</tr>
<tr>
<td width="50%" valign="top">

#### 🎯 Marketing & Growth

- Identify market opportunities and trending topics
- Research target audiences and customer personas at scale
- Power lead-generation pipelines with verified records
- Track sentiment, reviews, or social signals over time

</td>
<td width="50%" valign="top">

#### 🛠️ Engineering & Product

- Prototype features that need real-world data without owning a crawler
- Replace fragile in-house scrapers with a managed Actor
- Wire datasets into your apps via the Apify API or webhooks
- Skip the proxy, retry, and parsing maintenance entirely

</td>
</tr>
</table>

***

### 🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

<table>
<tr>
<td width="50%">

#### 🎓 Research and academia

- Empirical datasets for papers, thesis work, and coursework
- Longitudinal studies tracking changes across snapshots
- Reproducible research with cited, versioned data pulls
- Classroom exercises on data analysis and ethical scraping

</td>
<td width="50%">

#### 🎨 Personal and creative

- Side projects, portfolio demos, and indie app launches
- Data visualizations, dashboards, and infographics
- Content research for bloggers, YouTubers, and podcasters
- Hobbyist collections and personal trackers

</td>
</tr>
<tr>
<td width="50%">

#### 🤝 Non-profit and civic

- Transparency reporting and accountability projects
- Advocacy campaigns backed by public-interest data
- Community-run databases for local issues
- Investigative journalism on public records

</td>
<td width="50%">

#### 🧪 Experimentation

- Prototype AI and machine-learning pipelines with real data
- Validate product-market hypotheses before engineering spend
- Train small domain-specific models on niche corpora
- Test dashboard concepts with live input

</td>
</tr>
</table>

### 🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

- 💬 [**ChatGPT**](https://chat.openai.com/?q=How%20do%20I%20use%20the%20REALTOR.COM%20PROPERTY%20LISTINGS%20SCRAPER%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.)
- 🧠 [**Claude**](https://claude.ai/new?q=How%20do%20I%20use%20the%20REALTOR.COM%20PROPERTY%20LISTINGS%20SCRAPER%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.)
- 🔍 [**Perplexity**](https://perplexity.ai/search?q=How%20do%20I%20use%20the%20REALTOR.COM%20PROPERTY%20LISTINGS%20SCRAPER%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.)
- 🅒 [**Copilot**](https://copilot.microsoft.com/?q=How%20do%20I%20use%20the%20REALTOR.COM%20PROPERTY%20LISTINGS%20SCRAPER%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.)

***

### ❓ Frequently Asked Questions

**How does it work?**\
You can run from seed URLs or from search/filter inputs. The actor collects listing records and can optionally enrich each record with additional detail fields.

**How accurate is the data?**\
The actor collects live public listing data at run time. Prices, status, and inventory can change frequently, so rerun when you need fresh snapshots.

**Why do some fields return `null`?**\
Some listings do not expose every detail payload block. Missing source values are returned as `null` (not empty strings).

**Can I schedule regular runs?**\
Yes. Use Apify schedules for hourly, daily, weekly, or custom intervals.

**Do I need proxy?**\
Small runs may work without it. For larger or repeated runs, residential proxy is recommended for stability.

### 🔗 Integrate Realtor.com Property Listings Scraper with any app

- [Make](https://docs.apify.com/platform/integrations/make) - Automate workflows
- [Zapier](https://docs.apify.com/platform/integrations/zapier) - Connect 5000+ apps
- [GitHub](https://docs.apify.com/platform/integrations/github) - Version control integration
- [Slack](https://docs.apify.com/platform/integrations/slack) - Get notifications
- [Airbyte](https://docs.apify.com/platform/integrations/airbyte) - Data pipelines
- [Google Drive](https://docs.apify.com/platform/integrations/drive) - Export to spreadsheets

You can also connect the actor to webhooks for event based automation.

### 🔌 Integrate with any app

Realtor.com Property Listings Scraper connects to any cloud service via [Apify integrations](https://apify.com/integrations):

- [**Make**](https://docs.apify.com/platform/integrations/make) - Automate multi-step workflows
- [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect with 5,000+ apps
- [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get run notifications in your channels
- [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe results into your warehouse
- [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits and releases
- [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend, or alert your team in Slack.

***

### 💡 More ParseForge Actors

- [Booking.com Hotels Listing Scraper](https://apify.com/parseforge/booking-com-hotels-scraper) - Collect hotel listing data and pricing signals.
- [GovernmentJobs Scraper](https://apify.com/parseforge/governmentjobs-scraper) - Extract public sector job listings and details.
- [Dice Jobs Scraper](https://apify.com/parseforge/dice-jobs-scraper) - Scrape tech job listings with filters and detail fields.
- [Airbnb Scraper](https://apify.com/parseforge/airbnb-scraper) - Collect rental listing data, amenities, and host signals.

Browse our [complete collection of data extraction tools](https://apify.com/parseforge) for more.

### 🚀 Ready to Start?

[Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) and start collecting Realtor listing data in minutes.

### 🆘 Need Help?

- Check the FAQ section above for common questions.
- Visit the [Apify support page](https://docs.apify.com) for platform help and tutorials.
- Use our [Tally contact form](https://tally.so/r/BzdKgA) for custom solutions, requests, or issue reporting.

### 🔗 Recommended Actors

- [**🔍 Google Search Scraper**](https://apify.com/parseforge/google-search-scraper) - Multi-engine SERP results with country and language targeting
- [**🗺️ Nominatim OSM Scraper**](https://apify.com/parseforge/nominatim-osm-scraper) - Geocode addresses via OpenStreetMap
- [**📊 Indexmundi Scraper**](https://apify.com/parseforge/indexmundi-scraper) - Global demographic and economic indicators
- [**📰 RAG Web Browser**](https://apify.com/parseforge/rag-web-browser) - Crawl and extract clean text from any URL for AI retrieval
- [**🌐 Website Content Crawler**](https://apify.com/parseforge/website-content-crawler) - Crawl entire sites and export structured content

> 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more reference-data scrapers.

***

### ❌ Disclaimer

> **This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Realtor.com or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.**

# Actor input Schema

## `startUrl` (type: `string`):

Single Realtor.com URL (search or detail) to use as a seed.

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

Multiple Realtor.com URLs (search or detail) to process.

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

Maximum number of properties to collect.

## `maxItemsPerStartUrl` (type: `integer`):

Maximum number of properties to collect from each seed URL.

## `search` (type: `string`):

Search keyword/location used with Mode (example: Las Vegas, NV).

## `mode` (type: `string`):

Search mode for keyword search.

## `location` (type: `string`):

Location token or ZIP (example: New-York\_NY, 10001).

## `listingStatus` (type: `string`):

Filter by listing status.

## `propertyType` (type: `string`):

Filter by property type.

## `minBeds` (type: `integer`):

Minimum number of bedrooms.

## `minBaths` (type: `number`):

Minimum number of bathrooms.

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

Minimum listing price in USD.

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

Maximum listing price in USD.

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

Minimum interior square feet.

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

Maximum interior square feet.

## `minLotSqft` (type: `integer`):

Minimum lot square feet.

## `maxLotSqft` (type: `integer`):

Maximum lot square feet.

## `minYearBuilt` (type: `integer`):

Minimum construction year.

## `maxYearBuilt` (type: `integer`):

Maximum construction year.

## `soldWithin` (type: `integer`):

Sold recency filter in days (for sold listings).

## `endPage` (type: `integer`):

Last page number to process per seed URL.

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

Fetch property detail page data (history, schools, tax, risk).

## `includeFloorplans` (type: `boolean`):

When details are enabled, include floorplans when available.

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

Maximum parallel requests.

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

Apify proxy settings.

## Actor input object example

```json
{
  "startUrl": "https://www.realtor.com/realestateandhomes-search/Los-Angeles_CA",
  "maxItems": 10,
  "includeDetails": true,
  "maxConcurrency": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

Overview table with the main Realtor.com property fields.

# 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 = {
    "startUrl": "https://www.realtor.com/realestateandhomes-search/Los-Angeles_CA",
    "maxItems": 10,
    "includeDetails": true,
    "maxConcurrency": 10,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/realtor-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 = {
    "startUrl": "https://www.realtor.com/realestateandhomes-search/Los-Angeles_CA",
    "maxItems": 10,
    "includeDetails": True,
    "maxConcurrency": 10,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

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

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrl": "https://www.realtor.com/realestateandhomes-search/Los-Angeles_CA",
  "maxItems": 10,
  "includeDetails": true,
  "maxConcurrency": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call parseforge/realtor-com-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=parseforge/realtor-com-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Realtor.com Property Listings Scraper",
        "description": "Collect property listings from Realtor.com with prices, photos, agent contacts, and full property details. Search by location, filter by beds, baths, price range, square footage, lot size, and listing status. Supports for-sale, for-rent, and recently sold listings across all US markets.",
        "version": "1.0",
        "x-build-id": "PW5rxBlTmmUDKzjkI"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/parseforge~realtor-com-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-parseforge-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/parseforge~realtor-com-scraper/runs": {
            "post": {
                "operationId": "runs-sync-parseforge-realtor-com-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/parseforge~realtor-com-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-parseforge-realtor-com-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "startUrl": {
                        "title": "Start URL",
                        "type": "string",
                        "description": "Single Realtor.com URL (search or detail) to use as a seed."
                    },
                    "startUrls": {
                        "title": "Start URLs",
                        "type": "array",
                        "description": "Multiple Realtor.com URLs (search or detail) to process.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxItems": {
                        "title": "Max Items",
                        "minimum": 1,
                        "maximum": 1000000,
                        "type": "integer",
                        "description": "Maximum number of properties to collect."
                    },
                    "maxItemsPerStartUrl": {
                        "title": "Max Items Per Start URL",
                        "minimum": 1,
                        "maximum": 1000000,
                        "type": "integer",
                        "description": "Maximum number of properties to collect from each seed URL."
                    },
                    "search": {
                        "title": "Search Keyword",
                        "type": "string",
                        "description": "Search keyword/location used with Mode (example: Las Vegas, NV)."
                    },
                    "mode": {
                        "title": "Mode",
                        "enum": [
                            "BUY",
                            "RENT",
                            "SOLD"
                        ],
                        "type": "string",
                        "description": "Search mode for keyword search."
                    },
                    "location": {
                        "title": "Location",
                        "type": "string",
                        "description": "Location token or ZIP (example: New-York_NY, 10001)."
                    },
                    "listingStatus": {
                        "title": "Listing Status",
                        "enum": [
                            "for_sale",
                            "for_rent",
                            "recently_sold"
                        ],
                        "type": "string",
                        "description": "Filter by listing status."
                    },
                    "propertyType": {
                        "title": "Property Type",
                        "enum": [
                            "any",
                            "single_family",
                            "multi_family",
                            "condo",
                            "mobile",
                            "land",
                            "farm"
                        ],
                        "type": "string",
                        "description": "Filter by property type."
                    },
                    "minBeds": {
                        "title": "Min Beds",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Minimum number of bedrooms."
                    },
                    "minBaths": {
                        "title": "Min Baths",
                        "minimum": 0,
                        "type": "number",
                        "description": "Minimum number of bathrooms."
                    },
                    "minPrice": {
                        "title": "Min Price",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Minimum listing price in USD."
                    },
                    "maxPrice": {
                        "title": "Max Price",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum listing price in USD."
                    },
                    "minSqft": {
                        "title": "Min Sqft",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Minimum interior square feet."
                    },
                    "maxSqft": {
                        "title": "Max Sqft",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum interior square feet."
                    },
                    "minLotSqft": {
                        "title": "Min Lot Sqft",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Minimum lot square feet."
                    },
                    "maxLotSqft": {
                        "title": "Max Lot Sqft",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum lot square feet."
                    },
                    "minYearBuilt": {
                        "title": "Min Year Built",
                        "minimum": 1700,
                        "type": "integer",
                        "description": "Minimum construction year."
                    },
                    "maxYearBuilt": {
                        "title": "Max Year Built",
                        "minimum": 1700,
                        "type": "integer",
                        "description": "Maximum construction year."
                    },
                    "soldWithin": {
                        "title": "Sold Within (Days)",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Sold recency filter in days (for sold listings)."
                    },
                    "endPage": {
                        "title": "End Page",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Last page number to process per seed URL."
                    },
                    "includeDetails": {
                        "title": "Include Details",
                        "type": "boolean",
                        "description": "Fetch property detail page data (history, schools, tax, risk)."
                    },
                    "includeFloorplans": {
                        "title": "Include Floorplans",
                        "type": "boolean",
                        "description": "When details are enabled, include floorplans when available."
                    },
                    "maxConcurrency": {
                        "title": "Max Concurrency",
                        "minimum": 1,
                        "maximum": 20,
                        "type": "integer",
                        "description": "Maximum parallel requests."
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Apify proxy settings."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```