Realtor.com Property Details Scraper by Address

Realtor.com Property Details Scraper by Address

Realtor.com property details scraper and API: give property ids, home links, street addresses or MLS numbers (up to 10,000 in a list, mixed in one list if you like) and get each home's full Realtor.com record as one row: price and status, beds, baths, size, lot, year built, address and coordinates, every photo, the MLS number, price and sale history, tax history and assessments, nearby and assigned schools with ratings, flood, wildfire, heat, wind and air risk, value estimates with their history and forecast, the mortgage estimate, city, county, ZIP code and neighborhood market medians, page views and saves, floor plans, the listing office and the description. Or give a search (a city, ZIP code, county, neighborhood, search link, agent or map area) and get the full record of every home it finds.

No login, no cookies and no browser: the Actor reads Realtor.com's own data service, 20 full records a request. A home is charged once per run, and only when its full record was read: misses, homes not found and records Realtor.com did not answer are free rows.

What you can do with it

• Enrich a list of addresses or property ids from your CRM with price history, tax history, schools and climate risk.
• Pull sold comps with their full sale history and value estimates for an appraisal or an offer.
• Check a home's value estimates (several sources) with their history and forecast, and its local market medians.
• Read every home of a ZIP code or a saved search with its complete record, not just the search card.
• Find new construction plans with their floor plans, builder community and price range.

How to use the Realtor.com Property Details Scraper

1. Open the Actor and paste property ids (9241435802), home links or street addresses (384 Leaning Rock Rdg, Austin, TX 78737) into Homes, Property ids or home links or Street addresses, or MLS numbers into MLS listing numbers.
2. Or give a search instead: Places (Austin, TX, 78704), Realtor.com search links, agents or map areas, with any filter (status, price, beds, home types, dates).
3. Optional: turn on Similar homes, or Include personal data for the agents' contacts.
4. Click Start. Download the properties as JSON, CSV or Excel, or read them through the Apify API.

What data you get

One row per home (type: "home") with its full record in details, plus free status rows for anything not found or not read, one free coverage row per search (with a market summary of its homes) and a free run summary. Fill rates are measured on the real Actor's own runs of 2026-10-29: 1,000 property ids across for sale, sold, for rent, off market and new home plans (run i7MWjy8olZWH0xZpJ), and, in brackets, 2,000 homes of a Phoenix sold search with similar homes on (run TzHffG0ftCJWTRYAW).

Field	What it holds	Fill
propertyId, listingId, url	Realtor.com's ids and the home's page	100%
status, isPending, isContingent, isNewConstruction, isForeclosure, isPriceReduced, isComingSoon	listing status and flags	100%
price (priceMin, priceMax for a rent range)	list price, or monthly rent	95.5% (100%)
beds, baths, sqft, lotSqft, lotAcres, yearBuilt, homeType, garage, stories	the home	92.0% (beds), 80.8% (size), 44.4% (lot), 74.1% (year), 100% (type)
address, fullAddress, latitude, longitude, county, countyFips	where it is	94.2% (street), 93.8% (position), 100% (county)
photos, primaryPhoto, photoCount	every photo link	97.8%
lastSoldPrice, lastSoldDate	last sale (where the state discloses the price)	50.0% (100%)
estimate, estimates	Realtor.com's value estimates by source	63.6%
mls.sourceId, mls.listingId, details.mlsName	MLS code, number and name	100%
office, broker, builder	listing office (name, phones, link), broker, builder	80.6% (office)
details.priceHistory	every listing, price change, sale and rental event with dates, prices and the MLS listing ids	84.6% (98.8%)
details.taxHistory	yearly tax and assessments (land, building, total)	66.9% (93.3%)
details.schoolsNearby, details.schoolsAssigned	schools with ratings, grades, distance, district	99.0% (99.7%)
details.climateRisk	flood factor, severity, FEMA zones and trend; wildfire, heat, wind and air factors	90.0% (98.7%)
details.estimatesHistory, details.estimatesForecast	value estimate history and forecast by source	64.0%, 60.1% (98.6%, 96.0%)
details.mortgage	monthly payment with its breakdown, property tax and insurance rates, the county FHA loan limit and whether the price is within it, today's average rates	69.5% (homes on the market)
details.permitHistory, details.permitHistoryStatus, details.hasRoofPermit	building permits from public records: the day, type of work, status and project of each; a roof permit flag	32.5% (run 11WblNmXcB9OAL0vo, the same 1,000 ids); 67% of 200 Phoenix sold homes and 62.5% of 200 Austin homes for sale in the spike
details.localMarket	city, county, ZIP code and neighborhood medians: list price, sold price, price per square foot, days on market	100% (ZIP code), 91.3% (neighborhood)
details.popularity	page views, clicks, saves, shares and leads over 1, 7, 14, 21 and 28 days	70.7% (100%)
details.description, details.featureGroups	the listing text and the source's feature lists (interior, exterior, utilities, HOA, ...)	85.4%, 99.9%
details.floorPlans, details.floorPlansStatus	2D floor plan images, interactive and 3D plan links	13.1% (new home plans: 372 of 382 in the spike)
details.streetViewUrl	Realtor.com's Street View image link of the address	94.6% (100%)
details.community	a new home's community: name, description, price range	13.9% (new homes)
details.contractDate, details.daysOnMls, details.mlsTaxAmount	the MLS's own dates and figures	67.5% (contract date), 43.2% (days on MLS)
details.photosTagged	photos with Realtor.com's room tags, kind and caption	97.8%
details.listingProducts, details.leadAttributes	Realtor.com's products and lead settings on the listing	100%
details.monthlyFees, details.oneTimeFees, details.parking, details.leaseTerms, details.petPolicyText, details.unitsDetailed	rental terms, fees and units	rentals
details.similarHomes	up to 10 similar homes (only with Similar homes on)	(67.3% of 2,000 sold homes)
agents, mlsAgents, details.buyerAgents	listing, co listing and buyer's agents with e-mails and phones	with includePersonalData

Example row (shortened)

{
  "type": "home",
  "id": "9241435802",
  "url": "https://www.realtor.com/realestateandhomes-detail/384-Leaning-Rock-Rdg_Austin_TX_78737_M92414-35802",
  "status": "forSale",
  "price": 989999,
  "beds": 4,
  "baths": 4,
  "sqft": 2980,
  "yearBuilt": 2025,
  "fullAddress": "384 Leaning Rock Rdg, Austin, TX 78737",
  "mls": { "sourceId": "AUTX", "listingId": "8045029", "sourceType": "mls" },
  "estimate": 980000,
  "lookup": { "label": "property id 1", "input": null },
  "detailsStatus": "read",
  "details": {
    "priceHistory": [{ "date": "2026-09-10", "event": "Listed", "price": 989999, "source": "UnlockMLS", "sourceListingId": "8045029" }],
    "schoolsAssigned": [{ "name": "Sycamore Springs Middle", "rating": 9, "levels": ["middle"] }],
    "climateRisk": { "floodFactor": 1, "fireFactor": 6, "heatFactor": 7 },
    "localMarket": { "zip": { "medianListPrice": 867000 } },
    "floorPlansStatus": "none"
  }
}

How much does it cost to scrape Realtor.com property details?

You pay per property delivered (pay per event). Prices per 1,000 events:

Event	Free	Bronze	Silver	Gold
Property (one home with its full record)	$0.99	$0.99	$0.97	$0.95

Each run also pays a one time Actor start of $0.008 on every plan. Platinum and Diamond plans pay the Gold price. The Store pricing card shows these same prices per 1,000 events: "$0.95 / 1,000" on the Property row means one property costs less than a tenth of a cent.

• 1,000 properties cost $0.95 to $0.99 plus the $0.008 start fee. The full record is in that price: no detail, history or floor plan events; similar homes come at no extra charge.
• A home is charged once per run, even when two of your entries or searches name it.
• Free: homes not found, addresses that match no single home, records Realtor.com did not answer, homes outside your search, repeats, and every status, coverage and summary row. A run with no usable input charges only the start fee.
• Set a maximum cost per run in the Apify Console: the run stops at the first property it cannot pay and delivers no row unpaid.

Input

Setting	What it does
homes	One list in any mix: home links, app shortlinks, property ids (9241435802 or M92414-35802), MLS numbers with their code (AUTX:8045029; a bare number is read as a property id) and street addresses with city and state. Up to 10,000.
propertyIds	Property ids or home links (..._M92414-35802). A home not on Realtor.com is a free row.
addresses	Full US street addresses with city and state. A home is delivered only when exactly one Realtor.com home is that address (street, unit, city, state and the ZIP code when given); otherwise a free row lists the nearest addresses.
mlsListingIds	MLS numbers, alone (8045029) or with the MLS code (AUTX:8045029). A number that names homes in several MLSs is a free row listing them.
locations, zipCodes, startUrls, agentIds, agentNames, mlsAgentIds, mapAreas, radiusMiles	Searches: every home found is read from its full record. A search link keeps its own status and filters; home links and app shortlinks in startUrls are looked up.
listingStatus, pendingAndContingent, sort	Status (for sale, for rent, sold, off market, new home plans), pending homes, order of a search.
Filters (home types include co-ops, condops and the site's combined condo, townhome, row home and co-op type)	minPrice, maxPrice, minBeds, maxBeds, minBaths, maxBaths, minSqft, maxSqft, minLotSqft, maxLotSqft, minYearBuilt, maxYearBuilt, maxHoaFee, noHoaFee, minGarage, homeTypes, features, keywords, street, listedWithinDays, priceReducedWithinDays, openHouseWithinDays, newConstruction, foreclosure, seniorCommunity, comingSoon, has3dTour, hasVirtualTour, moveInBy, catsAllowed, dogsAllowed, soldWithinDays, soldAfter, soldBefore, minSoldPrice, maxSoldPrice. They apply to searches and are checked again on each home's full record; homes looked up by id, link, address or MLS number come as they are.
maxItems, maxItemsPerSearch, splitPastCap, startPage	How many homes in all (default 1,000) and per search; read past the 10,000 homes the site lists for one search (on by default).
includeSimilarHomes	Up to 10 similar homes per home, at no extra charge.
includePersonalData	Off by default (see below).
includeRawRecord	The record exactly as Realtor.com served it, for your own parsing; needs includePersonalData.
maxPhotos, outputFields	Fewer photos per home; keep only chosen fields.
placeLookups	Free: Realtor.com's own place suggestions for a text.
maxConcurrency, proxyConfiguration	Parallel requests (1 to 4); Apify Proxy (default, the Actor screens its own datacenter exits) or your own http:// proxy links.

Example input:

{
  "homes": ["9241435802", "https://www.realtor.com/realestateandhomes-detail/2110-Southern-Pines-Dr_Kingwood_TX_77339_M76324-46918", "1704 Shelbourne Dr, Austin, TX 78752"],
  "includeSimilarHomes": true
}

Personal data

Off by default. With includePersonalData on, rows also carry the listing agent's, co agent's and MLS agents' names, e-mails, phones, ids and licence number, buyer's agents and the agent's profile link, the listing office's e-mail and street address (often an agent's own mailbox or home), Realtor.com's advertiser ids, and, for rentals posted through rental platforms (where the landlord can be a private person), the landlord's contact, the home's street and exact position, its Street View link and tour links. With it off those fields are empty; the names, phones and links of listing offices, brokers and builders are businesses and always included, except an office named as the listing's own agent (an agent working alone: its name and phones are the agent's) and an office link that holds an e-mail address, which come with the switch. Texts (descriptions, feature lists) are delivered as Realtor.com serves them. You are responsible for using personal data lawfully (GDPR, CAN-SPAM, TCPA and similar).

What this Actor does not do

• No monitoring mode ("only new or changed homes since the last run"). Schedule the Actor and compare the rows in your own sheet; every row carries its dates.
• No export into connected apps through MCP connectors; use Apify's integrations, webhooks or the API.
• No custom JavaScript run on your rows; use outputFields to keep the fields you need.
• No agent directory, agent profiles or agent reviews: rows carry the listing agents (with includePersonalData) and the listing office.
• No agent e-mails found on outside websites, no noise score and no parcel number (APN): Realtor.com's noise score and parcel number are empty on every record read (2,182 of 2,182 in the spike). No FHA loan decision either: each row gives the price, the county's FHA loan limit and priceWithinFhaLoanLimit, the comparison of the two.
• No rental specials and no year renovated: Realtor.com's record has both fields, but they were empty on every record read (400 apartment rentals of Austin and Dallas, 200 Chicago homes built before 1940 and about 10,000 delivered rows, 2026-10-29).
• No other sites (Zillow, Redfin) in the same row, and no mortgage calculator for any price and rate; each home's own mortgage estimate is in its record.
• No /property/<id> or .../details/<id> links: Realtor.com links its homes as /realestateandhomes-detail/<address>_M<id>, which this Actor reads, as well as property ids.
• No "relevant" or "best match" order for searches: Realtor.com reshuffles that order on every request; every stable order is offered.
• A condo or apartment unit is often not findable by its street address: Realtor.com's suggestions often hold no unit, so the Actor also asks with the other unit designators and searches the building's line in its ZIP code. In the test of 2026-10-29, 33 of 84 unit addresses and 180 of 209 other addresses were found (no address was matched to another home). A unit not found gets a free row; look it up by its property id or link.
• Work that earns nothing has a limit: a long list of ids or addresses Realtor.com does not know stops on the unpaid work allowance and the rest is reported "not reached" on a free row (nothing is charged for it). Lists with real homes among them run on, since each home pays for the next lookups.
• A home whose full record Realtor.com does not answer is not delivered (a free row says so); a search with such a home is reported not complete, so running it again reads the rest.
• Sold prices are empty in states that do not disclose them (Texas and others).
• Floor plans exist mostly on new home plans; when Realtor.com's floor plan service does not answer, floorPlansStatus says not_read (the home is still delivered).

FAQ

Does Realtor.com have an official API?

Realtor.com offers no public listing API; its APIs are partner lead and syndication feeds. This Actor works like an API: send property ids, links or addresses as JSON through the Apify API and read each home's full record as JSON.

How do I look up the history of a house on Realtor.com?

Give the home's address, link or property id: the row's details.priceHistory lists every listing, price change, sale and rental event Realtor.com shows, with dates, prices and MLS listing ids, and details.taxHistory the yearly taxes and assessments.

Can I get property details from Realtor.com by address?

Yes. An address is matched to a home only when exactly one Realtor.com home is that address (street, unit, city, state and the ZIP code when given); otherwise you get a free row with the nearest addresses, and nothing is charged for it.

Is it legal to scrape Realtor.com?

This Actor reads only data Realtor.com shows to every visitor without a login, and it gives personal data only when you turn it on. Realtor.com's terms of use restrict automated collection; whether and how you use the data is your decision and responsibility.

Why does this Actor run with limited permissions?

It needs nothing beyond its own run storage (the dataset it writes and its own key value store), so it runs with Apify's limited permissions: it cannot read or change anything else in your account.

Use it through the API

curl -X POST "https://api.apify.com/v2/acts/automation_craft~realtor-com-property-details-scraper/run-sync-get-dataset-items?token=<YOUR_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"addresses": ["384 Leaning Rock Rdg, Austin, TX 78737"]}'

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: '<YOUR_TOKEN>' });
const run = await client.actor('automation_craft/realtor-com-property-details-scraper').call({ propertyIds: ['9241435802'] });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.filter((x) => x.type === 'home').map((x) => x.details.priceHistory));

from apify_client import ApifyClient
client = ApifyClient("<YOUR_TOKEN>")
run = client.actor("automation_craft/realtor-com-property-details-scraper").call(run_input={"homes": ["9241435802", "AUTX:8045029"]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("fullAddress"), item.get("price"))

Changelog

• 0.1 (2026-10-29): first version.

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