Homes.com Scraper

Homes.com Scraper

Homes.com Scraper extracts real estate data from Homes.com: homes for sale, rentals and recently sold properties with price, beds, baths, square footage, address and coordinates, photos, MLS number, features, price history, tax and purchase records, and listing agent contacts. It also finds real estate agents and pulls their full profiles, as clean JSON, CSV or Excel.

Nine operations in one actor: search by city, neighborhood, ZIP code, map coordinates or Homes.com URL, get full property dossiers with every feature and public records, find agents by name or area and pull their sales stats, license and contact details.

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Apify Actor: parsebird/homes-com-scraper. Scrapes US real estate data from Homes.com (listings for sale, for rent, recently sold; full property details; real estate agents). Call via ApifyClient: client.actor("parsebird/homes-com-scraper").call(run_input={"operation": "searchByLocation", "location": "Austin, TX", "searchType": "FOR_SALE", "maxResults": 100}). Inputs: operation (searchByLocation | searchByZip | searchByCoordinates | searchByUrl | detailsById | detailsByUrl | agentSearch | agentDetails | autocomplete; default searchByLocation), location (string, "City, ST", neighborhood "Mueller, Austin, TX", county, metro, state; several on separate lines), zipCode (string, 5-digit US ZIP, comma-separated for several), latitude / longitude / radius (strings, radius in miles, default 1), url (Homes.com search URL, property URL https://www.homes.com/property/.../{id}/ or agent URL https://www.homes.com/real-estate-agents/{name}/{id}/; several on separate lines), id (property ID = propertyId of a search row), name (agent name for agentSearch, nationwide), agentId (agentId of an agentSearch row), searchType (FOR_SALE | FOR_RENT | SOLD, default FOR_SALE), propertyType (array: house, townhouse, condo, multi_family, apartment, land, mobile, coop, other), priceMin / priceMax (integer USD), bedsMin / bathsMin (integer), includeDetails (boolean, default false: full details for every search row), maxResults (integer, default 100), generateReport (boolean, default true: report.html market KPIs in the key-value store). Output rows carry rowType: property (propertyId, listingKey, url, status, statusTags, propertyType, address{street, city, state, zipCode, full}, location{latitude, longitude}, pricing{price, value, originalPrice, priceChange, pricePerSqFt, rentMin, rentMax, hoaFee}, specs{beds, baths, floorSpace, livingAreaSqFt, lotSize, yearBuilt}, listing{listedDate, soldDate, daysOnMarket, mls}, media{primaryPhoto, photos, photoCount, has3DTour}, agents[{agentId, name, phone, office}], highlights, openHouses), property-detail (all property fields plus propertyDescription, listing{mlsNumber, mlsSource, estimatedPayment, totalViews}, facts{lotSize, parking, hoaFee, estimatedAnnualTaxes}, features, mlsDetails, priceHistory, publicRecords{taxHistory, purchaseHistory, mortgageHistory}, floorPlans, agents with email and license), agent (agentId, name, office, phone, totalSales, url), agent-detail (office{name, address}, phone, email, license{number, state}, bio, yearsOfExperience, stats, transactionHistory, specialties, awards, website, socialLinks, areasServed, activeListingUrls, soldListingCount), location-suggestion (category, name, type, url). Pricing: pay per event: property (search row, agent search row or suggestion), details (property detail row), agent-profile (agent detail row). Full API spec: https://apify.com/parsebird/homes-com-scraper/api. Get your token: https://console.apify.com/settings/integrations.

What is Homes.com Scraper?

Homes.com Scraper turns Homes.com search results, property pages and agent profiles into a structured dataset. Type a location such as "Austin, TX", pick For sale, For rent or Recently sold, and click Start. On October 21, 2026, Homes.com showed 6,659 homes for sale, 4,958 rentals and 12,527 recently sold homes in Austin, and the actor reads searches of that size end to end.

It works as a Homes.com API alternative: no account, API key or browser needed. You can also set up a search on Homes.com in your browser, copy the URL and paste it in.

What can Homes.com Scraper do?

• 🔎 Search by location. City and state, neighborhood, county, metro area or a whole state, with listing type, property type, price, bedroom and bathroom filters.
• 📮 Search by ZIP code. One or several 5-digit US ZIP codes.
• 📍 Search by coordinates. A latitude/longitude point and a radius in miles; results outside the circle are dropped.
• 🔗 Search by Homes.com URL. Paste any Homes.com search page; its location and filters are kept.
• 🏠 Full property details. By property ID or URL, or for every search result: full description, MLS number and source, all Homes.com and MLS feature lists, price history, tax history with assessments, purchase and mortgage records, open houses, estimated payment, page views, apartment floor plans and listing agent email, phone and license number.
• 🧑‍💼 Agent search. Find agents by name across the US, or list the agents serving a city or neighborhood, with office, phone and total sales.
• 📇 Agent profiles. Office and address, phone, email, license number and state, bio, years of experience, 1-, 2- and 5-year seller and buyer deal stats, specialties, awards, website and social links, areas served and active listing URLs.
• 💬 Location autocomplete. Turn free text into Homes.com places, neighborhoods, agents, buildings and new-home communities with their URLs.
• 📊 Market report. Each search run saves a KPI report (median and average price, price per square foot, breakdowns by property type, status, bedrooms and ZIP code) as report.html.
• 📈 Past the 700-listing window. Homes.com returns up to 700 listings per search; the actor splits larger searches into price ranges so a whole city can be read.
• 📅 Scheduling. Run daily or weekly with Apify Schedules to track new listings and price drops.
• 🔌 API and integrations. Use the Apify API, or send results to Google Sheets, Zapier, Make, Slack or webhooks with Apify integrations. Export as JSON, CSV, Excel, XML or HTML.

What data can you extract from Homes.com?

Every row has a rowType: property (search results), property-detail (full property details), agent (agent search results), agent-detail (full agent profiles) or location-suggestion (autocomplete).

Field	Description
propertyId, listingKey, url	Homes.com property ID, listing key and listing URL
status, statusTags	For Sale, For Rent, Recently Sold, Pending, Under Contract, Coming Soon; tags such as "$35K PRICE DROP" or "Open Sat 12PM - 2PM"
propertyType	Single Family, Townhouse, Condo, Multi-Family, Apartment, Land, Mobile / Manufactured, Co-op
address, location	Street, city, state, ZIP, full address (neighborhood on detail rows); latitude and longitude
pricing	Display price, numeric value, original price, price change, price per sq ft, rent range, HOA fee
specs	Beds, baths, floor space, living area, lot size, year built, garages, stories, units
listing	Listed date, sold date, days on market, MLS; on detail rows also MLS number, MLS source, estimated payment and page views
media	Primary photo, all photos, photo count, 3D tour flag
agents	Listing agents with ID, name, phone, office; on detail rows also email, license and brokerage phone
openHouses, highlights	Scheduled open houses; highlight badges (schools, views, parks, features)
propertyDescription	Full listing description (detail rows)
facts	Home type, lot, parking, HOA fee, estimated annual taxes (detail rows)
features, mlsDetails	Homes.com feature lists by category and all MLS fields by section (detail rows)
priceHistory	Listing events with date, price and change (detail rows)
publicRecords	Tax history (tax paid, assessment, land and improvement value), purchase history (deed type, sale price), mortgage history (detail rows)
floorPlans	Apartment floor plans with price range, beds, baths, sq ft, deposit and available units (detail rows)
name, agentId, office, phone, email, license	Agent identity and contacts (agent and agent-detail rows)
stats, transactionHistory	Closed sales, total value, price range, average price; seller and buyer deals over 1, 2 and 5 years (agent-detail rows)

How to scrape Homes.com

1. Open Homes.com Scraper in Apify Console and click Try for free.
2. Pick an Operation. Keep Search by location to start.
3. Fill in the field the operation uses: a Location like "Austin, TX", a ZIP code, Latitude/Longitude and a Radius, a Homes.com URL, a Property ID, an Agent name or an Agent ID.
4. For searches, choose a Listing type (for sale, for rent, recently sold) and, optionally, property types, a price range and minimum beds and baths. Turn on Scrape full property details if you want the full dossier for each result.
5. Set Max results and click Start.
6. Download the data as JSON, CSV, Excel or HTML from the Output tab, and open report.html in the run's key-value store for the market summary.

Tip: run Agent search first, then pass the agentId values to Agent details. Run a search first, then pass propertyId values to Property details by ID.

How much does it cost to scrape Homes.com?

Homes.com Scraper uses pay-per-event pricing. You pay for the rows saved to your dataset; compute and proxy costs are included in the event price.

Event	What counts	Free	Bronze	Silver	Gold
property	Each search row (location, ZIP, coordinates, URL), agent search row or autocomplete suggestion	$1.99 / 1,000	$1.49 / 1,000	$1.29 / 1,000	$0.99 / 1,000
details	Each full property detail row	$10.99 / 1,000	$8.99 / 1,000	$7.99 / 1,000	$6.99 / 1,000
agent-profile	Each full agent profile row	$17.99 / 1,000	$14.99 / 1,000	$11.99 / 1,000	$9.99 / 1,000

Example: 1,000 Austin listings from a location search cost $1.99 on the Free plan. The same 1,000 listings with Scrape full property details turned on are charged as 1,000 details events instead ($10.99 on Free, $6.99 on Gold). Apify's free plan includes monthly platform credits you can use to try the actor. The run stops by itself when your spending limit is reached.

Input

Pick an operation and fill the field it uses. Example: rentals in Austin.

{
    "operation": "searchByLocation",
    "location": "Austin, TX",
    "searchType": "FOR_RENT",
    "maxResults": 100
}

Full property dossiers:

{
    "operation": "detailsByUrl",
    "url": "https://www.homes.com/property/7516-windrush-dr-austin-tx/x5zewgn876r6t/"
}

Find an agent, then pull the full profile:

{ "operation": "agentSearch", "name": "John Smith", "maxResults": 25 }

{ "operation": "agentDetails", "agentId": "w9enbmj" }

See every field on the Input tab.

Parameter	Type	Required	Default	Description
operation	string	Yes	searchByLocation	Which lookup to run (see the list above)
location	string	For location search, agent search by area, autocomplete	—	City and state, neighborhood, county, metro area or state
zipCode	string	For ZIP search	—	5-digit US ZIP code(s)
latitude, longitude	string	For coordinate search	—	Center point
radius	string	No	1	Radius in miles for coordinate search
url	string	For URL search, details by URL, agent details	—	Homes.com search, property or agent profile URL(s)
id	string	For details by ID	—	Property ID(s) from search rows (propertyId)
name	string	For agent search by name	—	Agent name, e.g. John Smith
agentId	string	For agent details	—	Agent ID(s) from agent search rows
searchType	string	No	FOR_SALE	FOR_SALE, FOR_RENT or SOLD
propertyType	array	No	all	house, townhouse, condo, multi_family, apartment, land, mobile, coop, other
priceMin, priceMax	integer	No	—	Price range (monthly rent for rentals)
bedsMin, bathsMin	integer	No	—	Minimum bedrooms and bathrooms
includeDetails	boolean	No	false	Full property details for every search row
maxResults	integer	No	100	Max rows per run
generateReport	boolean	No	true	Save report.html market KPIs for search runs

Output example

Listing row (property):

{
    "rowType": "property",
    "propertyId": "x5zewgn876r6t",
    "listingKey": "7qqz3lwfp9jpw",
    "url": "https://www.homes.com/property/7516-windrush-dr-austin-tx/x5zewgn876r6t/",
    "status": "For Sale",
    "statusTags": [
        "$35K PRICE DROP"
    ],
    "transactionType": "Sale",
    "propertyType": "Single Family",
    "name": null,
    "address": {
        "street": "7516 Windrush Dr",
        "city": "Austin",
        "state": "TX",
        "zipCode": "78729",
        "full": "7516 Windrush Dr, Austin, TX 78729",
        "isHidden": false
    },
    "location": {
        "latitude": 30.451128,
        "longitude": -97.754989
    },
    "pricing": {
        "price": "$549,000",
        "value": 549000,
        "originalPrice": 584000,
        "priceChange": "$35K PRICE DROP",
        "pricePerSqFt": 190,
        "hoaFee": null
    },
    "specs": {
        "beds": 4,
        "baths": 2.5,
        "bedsLabel": "4 Beds",
        "bathsLabel": "2.5 Baths",
        "floorSpace": "2,884 Sq Ft",
        "livingAreaSqFt": 2884,
        "lotSize": "5,296 Sq Ft",
        "lotSizeSqFt": 5296,
        "lotSizeAcres": 0.12,
        "yearBuilt": 1990
    },
    "listing": {
        "listedDate": "2026-06-25",
        "soldDate": null,
        "daysOnMarket": null,
        "mls": "ACTRIS MLS",
        "summary": "This move-in ready and updated home features new paint and flooring, quick access to trails, and refreshed bathrooms! A morning stroll on the Rattan Creek trail..."
    },
    "media": {
        "primaryPhoto": "https://images.homes.com/listings/115/7265341894-089973722/7516-windrush-dr-austin-tx-primaryphoto.jpg",
        "photos": [
            "https://images.homes.com/listings/115/7265341894-089973722/7516-windrush-dr-austin-tx-primaryphoto.jpg",
            "https://images.homes.com/listings/115/2965341894-089973722/7516-windrush-dr-austin-tx-buildingphoto-2.jpg"
        ],
        "photoCount": 34,
        "has3DTour": true
    },
    "agents": [
        {
            "agentId": "y96h0cv",
            "name": "Ashley Jackson",
            "phone": "(512) 555-0100",
            "office": "Compass RE Texas, LLC",
            "profileUrl": "https://www.homes.com/real-estate-agents/x/y96h0cv/",
            "photo": "https://imagescdn.homes.com/i2/d-9HEIVelhDzTZad8xTEUAk4GZ-E-KUo1NLYHIG1Fy0/104/image.jpg?t=p&p=1",
            "role": "Listing Agent",
            "isHomesMember": true
        }
    ],
    "highlights": [
        "Near a Park",
        "Open Floorplan",
        "Mature Trees",
        "Living Room with Fireplace"
    ],
    "openHouses": [],
    "builder": null,
    "propertyManager": null,
    "scrapedAt": "2026-10-21T12:30:00.000Z"
}

Property detail row (property-detail, shortened; agent contact values masked):

{
    "rowType": "property-detail",
    "propertyId": "x5zewgn876r6t",
    "url": "https://www.homes.com/property/7516-windrush-dr-austin-tx/x5zewgn876r6t/",
    "status": "For Sale",
    "propertyDescription": "This move-in ready and updated home features new paint and flooring, quick access to trails, and refreshed bathrooms! A morning stroll on the Rattan Creek trail starts just a few doors down from this ...",
    "listing": {
        "listedDate": "2026-06-25",
        "soldDate": null,
        "daysOnMarket": null,
        "mls": "ACTRIS MLS",
        "price": "$549,000",
        "status": "For Sale",
        "statusLabel": "$35K PRICE DROP",
        "mlsNumber": "9487189",
        "mlsSource": "Unlock MLS (Austin Board of REALTORS®)",
        "pricePerSqFt": 190,
        "estimatedPayment": "$3,975/month",
        "totalViews": 265031,
        "lastUpdated": "2026-10-01T11:57:22.952"
    },
    "facts": {
        "beds": 4,
        "baths": 2.5,
        "floorSpace": "2,884 Sq Ft",
        "lotSize": "5,296 Sq Ft",
        "lotFeatures": [
            "5",
            "East Facing Home",
            "Wood Fence",
            "Interior Lot",
            "Mature Trees",
            "Private Yard"
        ],
        "yearBuilt": 1990,
        "propertyType": "Single Family",
        "homeType": "Single Family",
        "parking": "2 Car Attached Garage, Inside Entrance, Parking Accessed On Kitchen Level, Front Facing Garage, Multiple Garage Doors, Driveway",
        "hoaFee": null,
        "estimatedAnnualTaxes": 8898
    },
    "priceHistory": [
        {
            "date": "2026-07-31",
            "event": "Price Changed",
            "price": 549000,
            "change": "-3.5%"
        },
        {
            "date": "2026-07-16",
            "event": "Price Changed",
            "price": 569000,
            "change": "-2.6%"
        }
    ],
    "publicRecords": {
        "taxHistory": [
            {
                "year": 2025,
                "taxPaid": 10304,
                "assessment": 504396,
                "landValue": 100500,
                "improvementValue": 403896
            }
        ],
        "purchaseHistory": [
            {
                "date": "2009-12-28",
                "type": "Vendors Lien",
                "salePrice": null
            }
        ],
        "mortgageHistory": [
            {
                "date": "2009-12-28",
                "status": "Open",
                "loanAmount": 159206
            }
        ]
    },
    "agents": [
        {
            "agentId": "y96h0cv",
            "name": "Ashley Jackson",
            "phone": "(512) 555-0100",
            "office": "Compass RE Texas, LLC",
            "profileUrl": "https://www.homes.com/real-estate-agents/x/y96h0cv/",
            "role": "Listing Agent",
            "isHomesMember": true,
            "email": "agent@example.com",
            "license": "0000000",
            "brokeragePhone": "512-555-0101"
        }
    ],
    "features": [
        {
            "category": "Home Details",
            "name": "Parking",
            "values": [
                "2 Car Attached Garage",
                "Inside Entrance",
                "Parking Accessed On Kitchen Level",
                "Front Facing Garage",
                "Multiple Garage Doors",
                "Driveway"
            ]
        }
    ],
    "mlsDetails": {
        "Interior Features": {
            "Interior Amenities": "Ceiling Fan(s), Ceiling-High, Ceiling-Vaulted, Double Vanity, Interior Steps, Multiple Dining Areas, Multiple Living Areas, Open Floorplan, Soaking Tub, Track Lighting, Walk-In Closet(s)",
            "View": "None",
            "Flooring": "Carpet, Tile, Vinyl"
        }
    }
}

Download the dataset in JSON, CSV, Excel, XML or HTML, or read it with the Apify API.

Use the Homes.com Scraper API

Python (apify-client):

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("parsebird/homes-com-scraper").call(run_input={
    "operation": "searchByLocation",
    "location": "Austin, TX",
    "searchType": "FOR_SALE",
    "propertyType": ["house"],
    "priceMax": 600000,
    "maxResults": 200,
})
for home in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(home["url"], home["pricing"]["price"], home["specs"]["beds"])

JavaScript (apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('parsebird/homes-com-scraper').call({
    operation: 'agentSearch',
    location: 'Austin, TX',
    maxResults: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((agent) => console.log(agent.name, agent.office, agent.phone));

Use cases

• Real estate investors: screen a city or ZIP code by price, beds and price per square foot, then pull tax and purchase records for the shortlist.
• Agents and brokerages: watch new listings, price drops and open houses in your farm area on a schedule.
• Recruiting and lead generation: list the agents active in a market with their office, phone, email, license and closed sales.
• PropTech and data teams: feed listing, MLS and public-record data into valuation models, dashboards or CRMs through the API.
• Market research: compare median prices, rents and inventory across cities, neighborhoods and ZIP codes with the built-in market report.
• Rental analysis: collect rent ranges, floor plans, available units and property managers for apartment communities.

FAQ

How fresh is the data? Every run reads Homes.com live, so you get the listings, prices and statuses shown on the site at that moment. Use Apify Schedules to refresh daily or weekly.

How many listings can I get from one search? Homes.com returns up to 700 listings per search. When a search has more, the actor splits it into price ranges and keeps going until it reaches Max results or the end of the search. Listings without a price (for example "Call for Price") can be missed in very large searches that need splitting.

What is the difference between a property row and a property-detail row? A property row comes from search results: price, beds, baths, size, address, photos, listing agents and a short summary. A property-detail row adds the full property page: full description, MLS number, full feature lists, price history, public records, apartment floor plans and agent emails and licenses.

How many agents can I get for one area? Homes.com's agent directory shows up to 624 agents (13 pages of 48) per city, neighborhood or state. To cover more, run several neighborhoods or nearby cities, or search agents by name.

Can I search agents by name in one city? Name search covers the whole US and returns the closest matches first. To list the agents of one area, leave the name empty and set a location.

Why do some rows have empty fields? Homes.com only shows what the listing source provides. Rentals often have no MLS number, new-construction homes may have no public records yet, and some MLSs hide listing agent emails.

Does it work for addresses? Search operations need an area (city, neighborhood, ZIP, county). For a single home, use Property details by URL or Property details by ID.

Can I use it with Make, Zapier or Google Sheets? Yes. Use Apify integrations or the API to send results anywhere.

Something doesn't work? Open an issue on the Issues tab with your run link.

Is it legal to scrape Homes.com?

Homes.com Scraper only collects data that Homes.com shows publicly to every visitor without logging in. Agent contact details are published by the agents for business purposes; personal data is still protected by laws such as GDPR and CCPA, so only collect and use it with a legitimate purpose. Check the Homes.com terms of use and consult a lawyer if you are unsure. Read more in Apify's post Is web scraping legal?

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