Realtor.com Scraper

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.

{
    "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

{
    "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 — collect Redfin property listings and market data.
• Zillow Scraper — collect Zillow property listings and market data.
• Rightmove Scraper — collect Rightmove property listings.
• Apartments.com Scraper — collect rental listings from Apartments.com.
• 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.