Realtor.com Scraper — Homes for Sale & Rent

Scrape Realtor.com for-sale and rental listings by US city — then download structured real estate data as Excel, CSV, or JSON.

This Actor is a practical Realtor.com API alternative for market research, investor screening, rental comps, and lead lists. Enter a city such as Austin, TX, choose For sale, For rent, or Both, and get listing rows with prices, beds, baths, sqft, MLS source, agents, photos, pet policy, floorplans, and fees when present on the detail page.

• Pull homes for sale and apartments for rent from Realtor.com
• Enrich search results with detail-page fields (MLS, advertisers, photos, HOA, open houses, pet policy, floorplans)
• Filter by property type and price range — or paste known detail URLs
• Export to Excel / CSV / JSON, or connect Make, n8n, Zapier, Python, or MCP
• Pay per event — Actor start + each Dataset listing; no subscription

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What does the Realtor.com Scraper do?

It turns a US city search on Realtor.com into a clean Apify Dataset of property listings.

Under the hood, the Actor:

1. Builds the Realtor.com search URL for your city and listing type
2. Collects listing cards from the search results page
3. Opens detail pages to enrich each row with MLS, agents, photos, and rental extras
4. Writes normalized records you can download or push into automations

Residential US proxy is required (prefilled). Fetching uses Camoufox as primary with CloakBrowser fallback — plain HTTP is not used (CloudFront 429).

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What data can you extract from Realtor.com?

Data point	For sale	For rent
Address / listing name	✅	✅
List price or rent range	✅	✅
Beds / baths / sqft	✅	✅
Property type & status	✅	✅
GPS coordinates	✅	✅
Listing URL & main image	✅	✅
MLS / source metadata	✅	✅
Agents / advertisers	✅	✅
Photo gallery	✅	✅
HOA / open houses	✅	—
Pet policy / specials / fees / floorplans	—	✅

Every Dataset row also includes scrapedAt and source = realtor.com. A RUN_SUMMARY record in the key-value store reports counts and warnings.

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What you can do with it

1. Scrape homes for sale in a metro

Enter a city like Austin, TX, set listing type to For sale, and get structured rows with price, beds, baths, sqft, year built, MLS source, and a direct listing URL — ready for comps or investor shortlists.

2. Scrape rental communities and apartments

Set listing type to For rent. Rows include rent range (listPriceMin / listPriceMax), bed/bath ranges, pet policy, specials, one-time fees, and floorplans when present on the detail page.

3. Enrich known Realtor.com detail URLs

Paste one or more Realtor.com detail URLs into Detail URLs to skip search and fetch full propertyDetails directly.

4. Feed real estate data into automations

Schedule the Actor and send the Dataset to Sheets, Slack, CRM, Make, n8n, Zapier, or an AI agent via Apify MCP / API.

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How to scrape Realtor.com (no code required)

1. Click Try for free
2. Enter a location (Austin, TX)
3. Choose For sale, For rent, or Both
4. Optionally set max results, property type, and price filters
5. Keep Apify RESIDENTIAL proxy enabled (US recommended)
6. Click Start — open the Dataset tab when the run finishes

Start with maxResults: 5–10 to verify the market, then scale up.

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Pricing — how much does it cost to scrape Realtor.com?

Pay per event. No subscription.

Event	Price	When charged
apify-actor-start	$0.005	When a normal run starts (scaled by allocated memory GB)
apify-default-dataset-item (result)	$2.80 / 1,000 ($0.0028 each)	Each listing written to the default Dataset

User pays platform usage costs: Yes — compute, residential proxy, and other platform usage are billed to the user in addition to event charges.

Example product charges (events only):

Scenario	Approx. event charge
Canary: 10 listings	$0.005 + 10 × $0.0028 = $0.033
City scan: 100 listings	$0.005 + $0.28 = $0.285
1,000 listings	$0.005 + $2.80 = $2.805

Platform usage (especially residential proxy) is separate and depends on run duration and memory.

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Input

Field	Description
location	City and state, e.g. Austin, TX
listingType	sale, rent, or both
maxResults	1–200 (default 20)
propertyType	Optional: house, condo, townhouse, apartment, land
minPrice / maxPrice	Optional USD filters
detailUrls	Optional detail page URLs (skips search)
proxyConfiguration	Apify RESIDENTIAL / US recommended

Open the Input tab in Console for the full form and tooltips.

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Output example

You can download the Dataset as JSON, CSV, Excel, or HTML.

{
  "name": "123 Main St, Austin, TX 78701",
  "listingType": "sale",
  "status": "for_sale",
  "type": "house",
  "city": "Austin",
  "state": "TX",
  "listPrice": 725000,
  "beds": 3,
  "baths": 2,
  "sqft": 1840,
  "authority": "ACTRIS",
  "listingUrl": "https://www.realtor.com/realestateandhomes-detail/...",
  "source": "realtor.com",
  "scrapedAt": "2026-07-17T00:00:00+00:00"
}

Core fields include preview fields (name, type, status, country, authority), address/price/size/GPS, listingUrl, imageUrl, plus detail extras such as flags, sourceMeta, advertisers, photos, hoa, openHouses (sale), and petPolicy, specials, floorplans, oneTimeFees (rent).

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Live View endpoints

When Standby / Live View is enabled, the Actor exposes a small OpenAPI surface for readiness and discovery:

Endpoint	Purpose
GET /	Readiness / service info
GET /health	Health check
GET /input-example	Low-cost example input
GET /openapi.json	Deployed OpenAPI document

Scraping still runs through a normal Actor run — Live View does not scrape Realtor.com by itself.

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Connect from code

Actor ID: lentic_clockss/realtor-com-scraper

from apify_client import ApifyClient

client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("lentic_clockss/realtor-com-scraper").call(
    run_input={
        "location": "Austin, TX",
        "listingType": "sale",
        "maxResults": 10,
        "proxyConfiguration": {
            "useApifyProxy": True,
            "apifyProxyGroups": ["RESIDENTIAL"],
            "apifyProxyCountry": "US",
        },
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("name"), item.get("listPrice"), item.get("listingUrl"))

Use the same Actor ID in Make, n8n, Zapier, or Apify MCP for AI-agent workflows.

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FAQ

Is there a free Realtor.com API?

Realtor.com does not offer a simple public listing API for bulk export. This Actor gives you structured for-sale and rental data through Apify runs, Dataset exports, and integrations.

Can I scrape both for-sale and rental listings?

Yes. Set listingType to both. maxResults is split across sale and rent when both are selected.

Why is a residential proxy required?

Realtor.com blocks many datacenter and direct IPs (CloudFront 429). Apify RESIDENTIAL with a country matched to the search location is required for reliable runs.

Can I schedule daily Realtor.com scrapes?

Yes. Create an Apify schedule with the same input and send the Dataset to Sheets, Slack, a CRM, or your pipeline.

Is it legal to scrape Realtor.com?

Use this Actor for legitimate research and analysis only. Respect Realtor.com terms of use and applicable law. Results may include publicly displayed listing information; do not use personal data without a lawful basis.

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Related Actors

• US Real Estate Scraper — multi-site US aggregation (Zillow, Redfin, Realtor, Zumper, Apartments.com)

Browse all Actors: apify.com/lentic_clockss