Realtor Property Details Cheap (Pay Per Result)

Realtor Property Details Scraper

Pull full property details from Realtor.com for any US address or numeric property ID. The actor resolves plain-text addresses automatically, calls the Realtor.com API, and returns structured data: listing price, beds, baths, square footage, year built, status, tax history, school ratings, estimated value, photos, and more. No API key, no browser, no manual lookups.

Each result is stored as a flat, table-ready record with 17 individual columns plus the full raw JSON object. Works for active listings, off-market homes, and recently sold properties.

The most affordable Realtor.com property data scraper on Apify. Pay only for what you use — no subscriptions, no minimums, no wasted credits.

What data does this actor extract?

Every property comes back as a flat row with key fields broken out as separate columns, so the results open cleanly in Google Sheets, Excel, or any BI tool without any preprocessing.

Output columns (table view)

Field	Type	Description
searchQuery	string	The original address or property ID you submitted
propertyId	string	Resolved Realtor.com property ID
status	string	Listing status: for_sale, sold, off_market, pending, etc.
listPrice	number	Current listing price in USD
lastSoldPrice	number	Price the property last sold for
lastSoldDate	string	Date of the last sale
lastUpdateDate	string	Date the listing was last updated on Realtor.com
beds	number	Number of bedrooms
baths	number	Number of bathrooms
sqft	number	Interior square footage
yearBuilt	number	Year the property was built
propertyType	string	Property type: single_family, condo, townhouse, etc.
address	string	Street address line
city	string	City
state	string	Two-letter state code
postalCode	string	ZIP code
href	string	Direct Realtor.com listing URL
propertyData	object	Full raw API response with tax history, schools, photos, estimates, mortgage info, and more

Example output record

{
    "searchQuery": "742 Evergreen Terrace, Springfield, IL 62704",
    "propertyId": "9535495300",
    "status": "for_sale",
    "listPrice": 485000,
    "lastSoldPrice": 410000,
    "lastSoldDate": "2021-06-15",
    "lastUpdateDate": "2026-02-14",
    "beds": 4,
    "baths": 3,
    "sqft": 2200,
    "yearBuilt": 1998,
    "propertyType": "single_family",
    "address": "742 Evergreen Terrace",
    "city": "Springfield",
    "state": "IL",
    "postalCode": "62704",
    "href": "https://www.realtor.com/realestateandhomes-detail/742-Evergreen-Terrace_Springfield_IL_62704",
    "propertyData": {
        "description": { "lot_sqft": 9200, "garage": 2, "pool": false, "heating": "Forced Air", "cooling": "Central" },
        "tax_history": [{ "year": 2023, "tax": 6800 }, { "year": 2022, "tax": 6500 }],
        "schools": { "schools": [{ "name": "Springfield Elementary", "rating": 8, "distance_in_miles": 0.4 }] },
        "estimates": { "current_values": [{ "estimate": 492000 }] },
        "photos": [{ "href": "https://ap.rdcpix.com/..." }],
        "mortgage": { "estimate": { "monthly_payment": 2640 } },
        "property_history": [{ "date": "2021-06-15", "event_name": "Sold", "price": 410000 }],
        "local": { "flood": { "flood_factor_score": 1 }, "noise": { "score": 42 } }
    }
}

Input

Parameter	Type	Default	Description
searchQueries	array	required	List of US addresses or Realtor.com property IDs. Mix both in the same run. One per line.
maxItems	integer	0 (unlimited)	Maximum number of properties to process. Set to 0 for no limit.
timeoutSecs	integer	300	Total actor run time limit in seconds.
requestTimeoutSecs	integer	30	Per-request HTTP timeout in seconds before moving on.
proxyConfiguration	object	Datacenter (United States)	Proxy type and location. Supports Datacenter, Residential, Special, and custom proxies. Optional.

Example input

{
    "searchQueries": [
        "3291777140",
        "3808 Warm Meadows St, Las Vegas",
        "13018 Lumberjack Rd NW Unit 1"
    ],
    "maxItems": 0,
    "requestTimeoutSecs": 30,
    "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" }
}

Use cases

• Real estate investment research: pull list price, last sold price, and estimated value for a watchlist of addresses to spot underpriced properties fast
• Competitive market analysis: compare beds, baths, sqft, and price per sqft across a neighborhood to understand pricing trends without visiting Realtor.com manually
• Lead enrichment: append property specs to a CRM export — beds, baths, sqft, year built, and listing status added to every address in your contact list
• Off-market property monitoring: track addresses that are currently off-market and detect when a new listing goes live
• Portfolio valuation: batch-process a list of owned properties to pull current estimates, recent price changes, and tax records in one run
• Property data pipelines: feed structured real estate data into Google Sheets, Airtable, or a database on a schedule using Apify integrations

How it works

1. For each item in searchQueries, the actor checks whether the input is a numeric string (treated as a Realtor.com property ID) or a plain-text address.
2. Plain-text addresses are sent to Realtor.com's geocoder, which returns a numeric property ID.
3. The actor calls the Realtor.com GraphQL API with the property ID and retrieves the full listing record.
4. Key fields are extracted and stored as flat columns. The complete raw API response is saved in propertyData for anything deeper.
5. If a property is not found or a request fails, the record is saved with null fields and the run continues — one bad address never stops the whole batch.

FAQ

Can I mix addresses and property IDs in the same list? Yes. Numeric strings are used as property IDs directly. Everything else goes through the address resolver. You can mix both freely in a single run.

Does this work for off-market and sold properties? Yes. The actor pulls data for any property in the Realtor.com database, not just active listings. Off-market homes, recently sold properties, and pending sales all return data.

Do I need a Realtor.com account or API key? No. The actor uses the same API endpoint the Realtor.com mobile app uses. No credentials required.

What is inside the propertyData field? The full raw API response, including tax history by year, nearby school ratings and distances, flood risk score, noise score, photo URLs with AI-generated tags, mortgage payment estimates, FHA eligibility, price history, HOA fees, open house dates, virtual tours, and neighborhood median stats.

When should I switch to residential proxies? Datacenter proxies (US) work for most runs. If you start seeing a high rate of null results on large batches, switch to Residential in the proxy settings. Residential proxies are harder to detect and better suited for high-volume scraping.

How many properties can I process per run? There is no hard limit. Set maxItems to 0 to process your entire input list. Each property uses roughly two API requests: one for address resolution and one for the data fetch.

Can I schedule this actor to run automatically? Yes. Use the Apify scheduler to run the actor on a daily or weekly schedule. Combine it with Google Sheets integration to keep a spreadsheet updated automatically.

Integrations

Connect this Realtor.com property scraper with other tools using Apify integrations. Push results directly to Google Sheets or Google Drive, trigger workflows in Zapier or Make, sync data to Airtable or Airbyte, or post a Slack notification when a batch finishes. You can also use webhooks to pipe results into your own backend the moment each run completes.