Realtor.com Rental Scraper - Pay Per Event

Pay only for the data you get! Proxies included, no compute costs.

Extract rental listings from Realtor.com, apartments, houses, condos, and townhomes. Get comprehensive rental data including rent prices, pet policies, utilities included, lease terms, amenities, agent contact info, and photos. Search by location or provide direct listing URLs.

✨ Why use this scraper?

• 💰 Pay per result: only charged for listings you actually get, no wasted compute
• 🌐 Proxies included: residential proxies bundled in, no setup required
• 🏠 50+ data fields per listing: rent, beds, baths, pet policy, utilities, amenities, lease terms, agent info, and more
• 🐾 Rental-specific data: pet policies (cats/dogs, deposits, fees), utilities included, laundry type, parking details
• ⚡ Concurrent scraping: configurable worker pool processes multiple listings in parallel for fast results
• 📍 Flexible input: search by city/state location or paste any Realtor.com rental URL directly

🎯 Use cases

Industry	Use Case
Real estate	Monitor rental inventory, track price changes, analyze market trends
Property management	Benchmark your rents against comparable listings in any market
Finance & investment	Analyze rental yields, cap rates, and market saturation by area
Relocation services	Compile curated rental lists for clients moving to a new city
Tech & startups	Build rental databases, recommendation engines, or market dashboards
Research	Study rental market dynamics, affordability, and geographic trends

📥 Input parameters

URL Scraping

Parameter	Type	Description
startUrls	Array	Realtor.com URLs to scrape. Accepts search pages, including filtered ones copied from your browser (realtor.com/apartments/Austin_TX/beds-2/price-1000-2500), and individual listing pages (realtor.com/rentals/details/...)

Search

Parameter	Type	Description
location	String	City and state (Austin, TX), a neighborhood (Brooklyn Heights, Brooklyn, NY), or a ZIP code (78701)

Sorting & Filtering

Parameter	Type	Default	Description
sort	String	newest	Sort by newest, price_asc, or price_desc
propertyType	String	all	Filter by apartment, house, townhome, condo, or mobile

Limits

Parameter	Type	Default	Description
maxItems	Integer	100	Maximum number of listings to save

Options

Parameter	Type	Default	Description
includeDetails	Boolean	true	Collect the full listing record for each result (lease terms, utilities included, deposits and fees, specials, move-in dates)

📊 Output data

Each listing is saved as a structured JSON object:

{
  "propertyId": "M1234567890",
  "listingId": "2945987601",
  "url": "https://www.realtor.com/rentals/details/123-Main-St_New-York_NY_10001_M1234567890",
  "listingType": "apartment",
  "status": "for_rent",
  "address": "123 Main St Apt 4B",
  "city": "New York",
  "state": "New York",
  "stateCode": "NY",
  "zip": "10001",
  "country": "US",
  "lat": 40.7128,
  "lng": -74.006,
  "neighborhood": "Midtown Manhattan",
  "county": "New York County",
  "rent": 3500,
  "rentMin": 3200,
  "rentMax": 4000,
  "beds": 2,
  "baths": 1,
  "sqft": 850,
  "availableDate": "2026-03-01",
  "listingDate": "2026-02-25T10:00:00Z",
  "daysOnMarket": 5,
  "leaseTerm": "12 months",
  "securityDeposit": 3500,
  "applicationFee": 75,
  "petsAllowed": true,
  "catsAllowed": true,
  "dogsAllowed": true,
  "petDeposit": 500,
  "petFee": 50,
  "petPolicy": "Cats and dogs welcome, max 2 pets, deposit required",
  "utilitiesWater": true,
  "utilitiesGas": false,
  "utilitiesElectric": false,
  "utilitiesTrash": true,
  "utilitiesInternet": false,
  "utilitiesCable": false,
  "laundryType": "in-unit",
  "parkingType": "garage",
  "parkingFee": 150,
  "yearBuilt": 1995,
  "stories": 15,
  "unitNumber": "4B",
  "buildingName": "The Grand Tower",
  "amenities": ["Dishwasher", "Central Air", "Elevator"],
  "tags": ["cats", "dogs", "central_air", "laundry_in_unit"],
  "details": [
    { "category": "Interior Features", "text": ["Washer/Dryer In Unit", "Dishwasher"] },
    { "category": "Utilities Included", "text": ["Water", "Trash"] }
  ],
  "agentName": "Jane Smith",
  "agentPhone": "+12125551234",
  "agentEmail": "jane@realty.com",
  "officeName": "NYC Realty Group",
  "photoCount": 12,
  "photos": ["https://ap.rdcpix.com/photo1.jpg", "https://ap.rdcpix.com/photo2.jpg"],
  "description": "Beautiful 2BR apartment in Midtown Manhattan with stunning city views.",
  "openHouses": [],
  "scrapedAt": "2026-02-28T12:00:00Z",
  "dataType": "rental"
}

🗂️ Data fields

Category	Fields
Identification	propertyId, listingId, url
Type & Status	listingType, status
Location	address, city, state, stateCode, zip, country, lat, lng, neighborhood, county
Pricing	rent, rentMin, rentMax
Property details	beds, baths, sqft, yearBuilt, stories, unitNumber, buildingName
Availability	availableDate, listingDate, daysOnMarket
Rental terms	leaseTerm, securityDeposit, applicationFee
Pet policy	petsAllowed, catsAllowed, dogsAllowed, petDeposit, petFee, petPolicy
Utilities	utilitiesWater, utilitiesGas, utilitiesElectric, utilitiesTrash, utilitiesInternet, utilitiesCable
Building features	laundryType, parkingType, parkingFee
Amenities	amenities, tags, details
Agent info	agentName, agentPhone, agentEmail, officeName
Media	photoCount, photos
Other	description, openHouses, scrapedAt, dataType

🚀 Examples

Search by location

{
  "location": "Austin, TX",
  "maxItems": 200,
  "sort": "newest",
  "includeDetails": true
}

Scrape specific search URL

{
  "startUrls": [
    { "url": "https://www.realtor.com/apartments/Chicago_IL/" }
  ],
  "maxItems": 500,
  "includeDetails": true
}

Scrape individual listings

{
  "startUrls": [
    { "url": "https://www.realtor.com/rentals/details/123-Main-St_Austin_TX_78701_M1234567890" },
    { "url": "https://www.realtor.com/rentals/details/456-Oak-Ave_Austin_TX_78702_M9876543210" }
  ]
}

High-volume market research

{
  "startUrls": [
    { "url": "https://www.realtor.com/apartments/Los-Angeles_CA/" },
    { "url": "https://www.realtor.com/apartments/San-Francisco_CA/" },
    { "url": "https://www.realtor.com/apartments/Seattle_WA/" }
  ],
  "maxItems": 1000,
  "sort": "price_asc"
}

💻 Integrations

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "location": "New York, NY",
    "maxItems": 100,
    "sort": "newest",
    "includeDetails": True,
}

run = client.actor("YOUR_ACTOR_ID").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"${item['rent']}/mo, {item['beds']}BR {item['listingType']} at {item['address']}, {item['city']}")
    if item.get("petsAllowed"):
        print(f"  Pets: cats={item['catsAllowed']}, dogs={item['dogsAllowed']}")

JavaScript

const { ApifyClient } = require('apify-client');

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('YOUR_ACTOR_ID').call({
    location: 'Austin, TX',
    maxItems: 200,
    sort: 'price_asc',
    includeDetails: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => {
    console.log(`$${item.rent}/mo, ${item.beds}BR at ${item.address}`);
});

📈 Performance & limits

Metric	Value
Listings per request	up to 200
Typical run (100 listings, full details)	under 30 seconds
Typical run (1,000 listings, full details)	1–3 minutes
Memory usage	256 MB

💡 Tips for best results

• Keep full details on: includeDetails: true adds lease terms, utilities included, security deposits, application and pet fees, move-in dates, and current specials, essential for rental analysis.
• Use direct search URLs: Copy a filtered Realtor.com URL from your browser (beds, baths, price range, square footage, pets, property type) for more precise results.
• Search by ZIP or neighborhood: location accepts 78701 or Brooklyn Heights, Brooklyn, NY when a whole city is too broad.
• Cover large markets: Large cities like NYC or LA have thousands of listings. Set maxItems: 2000+ for comprehensive coverage.
• Filter by property type: Use propertyType to focus on apartments, houses, or specific unit types and speed up your run.
• Combine multiple cities: Add multiple URLs to startUrls, one per city, for cross-market analysis in a single run.

❓ FAQ

Q: What URL formats does this scraper support? A: Search pages like realtor.com/apartments/Austin_TX/, realtor.com/apartments/New-York_NY/pg-2, realtor.com/apartments/78701, filtered searches like realtor.com/apartments/Austin_TX/beds-2/price-1000-2500/pets-cats,dogs, and individual listing pages like realtor.com/rentals/details/{slug}.

Q: Why does includeDetails matter? A: Search results already include address, rent, beds, baths, pet policy, amenities, photos, and agent contact. Full details add lease terms, utilities included, security deposit, application and pet fees, move-in dates, and current specials. Keep it on for complete datasets.

Q: Can I scrape multiple cities in one run? A: Yes, add multiple URLs to startUrls, one per city. All results are combined in a single dataset.

Q: How often does Realtor.com update its listings? A: Listings are typically updated in real time or within hours. Re-run the scraper daily for up-to-date market data.

Q: Is the pet policy data reliable? A: Pet policy data comes directly from the listing agent. Availability varies by listing, some listings don't specify pet policy details.

Q: What's the difference between rent, rentMin, and rentMax? A: For single-unit properties, all three are the same. For multi-unit buildings offering various floor plans, rentMin and rentMax show the price range.

📬 Support

For feature requests or custom scraping solutions, reach out via the Apify platform.