Apartments.com Scraper - Rentals, Floor Plans, Fees & Reviews

What does Apartments.com Scraper do?

Apartments.com Scraper extracts rental listings from Apartments.com and turns a city, ZIP code, neighborhood, address, search link or property link into structured rows: one property per row with its rent by bed type, address, coordinates and leasing phone. Turn on Property details and each row also carries the floor plans, every available unit with its price and move-in date, the fees, pet policy, parking, amenities, schools and office hours. Built for rental market analysts, property managers, relocation teams and proptech developers who need current rent data without copying listings by hand.

Apartments.com scraper · Apartments.com API · rental listings scraper · rent data extractor

• Every search, in your words: a city ("Austin, TX"), a ZIP ("78704"), a neighborhood ("Capitol Hill, Seattle"), a university, an address, or any Apartments.com search link with its filters
• Rent the way renters see it: starting rent per bed type, the total monthly price with required fees when the site shows it, and the base rent next to it
• Property details in the same row: floor plans, available units with unit number, price, size and move-in date, fees, pet policy, parking, amenities, schools, office hours, year built
• Reviews, photos, interior amenities and walk scores at no extra charge once details are on
• Past the 700-property cap: one Apartments.com search lists at most 700 properties; rent bands read the rest
• US and Canada, rents in USD or CAD
• Monitor mode: only new properties and the ones whose rent, specials or available units changed since your last run
• No login, cookies or API key. Export JSON, CSV or Excel, or connect it to Make, Zapier, n8n, Google Sheets, an API client or an AI agent

What data can you get from Apartments.com?

🏢 Property name and link (propertyName, url)	📍 Full address, city, state, ZIP, county, neighborhood	🧭 Latitude and longitude
💲 Rent range and rent per bed type (rentByBedType)	🧾 Total monthly price and base rent	🛏️ Beds, baths and square feet
☎️ Leasing phone and property website	🏷️ Management company and logo	🎁 Move-in specials with end date
📐 Floor plans (models)	🚪 Available units with price and date (units)	💵 Every published fee (fees)
🐾 Pet policy and pet fees	🚗 Parking types and fees	✨ Community and interior amenities
🏫 Assigned and nearby schools with ratings	🕘 Office hours and languages	🏗️ Year built, units, stories
⭐ Renter rating and review count	💬 Reviews with the property's response	📷 Photo gallery with captions
🚶 Walk, transit, drive, bike and sound scores	🚇 Nearby transit, airports and points of interest	🔁 Change type and previous rent (monitor mode)

On a 100-property test run in Denver with details on, 100% of rows had a phone, coordinates, rent, floor plans, office hours and schools; 98% a property website and a pet policy; 97% at least one available unit (2,997 units in total).

How to scrape Apartments.com with Apartments.com Scraper

1. Create a free Apify account: $5 of monthly credit, no card needed.
2. Open Apartments.com Scraper and click Try for free.
3. Type a location into Location (or paste Apartments.com links) and set Max properties.
4. Add filters if you need them, and turn on Property details for floor plans, units and fees.
5. Click Start. Rows stream into the dataset as they are found.
6. Open the Storage tab and Export as JSON, CSV or Excel, or let a schedule run it for you.

⬇️ Input

Parameter	Type	Description
🔍 What to scrape		Use any combination; nothing given = a 20-property sample for Austin, TX
search	String	A city, ZIP, neighborhood, university, address or property name, e.g. "Austin, TX", "78704", "Toronto, ON"
locations	List	More locations, one per line; each gets the same filters
startUrls	List	Apartments.com search links (their filters are kept) or property links
listingKeys	List	The 7-character key at the end of a property URL, e.g. 303djxe
latitude, longitude, radiusMiles	Number	Search a square around a point (radius default 2 miles)
🎯 Filters (applied by Apartments.com)
minPrice, maxPrice	Integer	Monthly rent range
minBeds, maxBeds, minBaths	Integer	0 = studio
minSqft, maxSqft	Integer	Unit size
propertyTypes	Select	Apartments, houses, condos, townhomes
petPolicy	Select	Pet friendly, dog friendly, cat friendly, dogs and cats
amenities	Select	33 of the site's amenity filters (washer & dryer, pool, parking, EV charging…)
keywords	String	Free text the site matches, e.g. "rooftop pool"
minRating	Select	4+ or 5 stars
lifestyle	Select	Student, senior, military, corporate
shortTerm, moveInDate	Select / Date	Short-term lease length; available by a date
listingOptions	Select	New listings, for rent by owner, rooms for rent, online applications, 3D tour…
hasMoveInSpecials, incomeRestricted	Boolean	Specials only; income-restricted housing only
sortBy	Select	Best match, rent low/high, last updated, virtual tour, video
✂️ Refine results
withPhoneOnly, withSpecialsOnly	Boolean	Keep only rows with a phone / a special
minReviewRating	Number	Exact rating floor, e.g. 4.3
updatedWithinDays	Integer	Only listings updated in the last N days
excludeKeywords	List	Skip names, addresses or descriptions containing these words
➕ Extra data
includeDetails	Boolean	The property record (floor plans, units, fees, pets, parking, amenities, schools, hours) - charged as property-details at $0.0009 per row that gets it
includeReviews, maxReviewsPerProperty	Boolean / Integer	Reviews with the property's response (needs details, free)
includeVisuals, maxPhotos	Boolean / Integer	Photo gallery (needs details, free)
includeInteriorAmenities	Boolean	Interior amenities per floor plan and unit (needs details, free)
includeWalkScore	Boolean	Walk, transit, drive, bike and sound scores, transit and nearby places (needs details, free)
🔁 Monitoring
monitorMode, monitorStoreName, includeUnchanged	Boolean / String	Only new and changed properties since the last run; pairs with a daily schedule
📦 Output
maxItems	Integer	Default 100, prefill 20; 0 = no limit
maxResultsPerSearch	Integer	Cap per location or link
maximizeCoverage	Boolean	Split searches above the site's 700-property cap into rent bands
removeDuplicates, compact, includeRawData	Boolean	One row per property; core fields only for AI agents; the raw property record
⚙️ Advanced
maxConcurrency, proxyConfiguration	Integer / Object	Parallel property reads (6); Apify proxy by default

Input JSON

{
  "search": "Denver, CO",
  "maxPrice": 2500,
  "minBeds": 1,
  "petPolicy": "dogs",
  "includeDetails": true,
  "includeReviews": true,
  "maxItems": 100
}

Put the place in Location and the rest in filters

Apartments.com reads the location box like its own search bar: "78704", "Capitol Hill, Seattle" and "University of Texas at Austin" all resolve. An exact street address of a property returns that one property. Plain-English requests such as "2 bedroom pet friendly austin under 2000" also work, but the filter fields are exact, so prefer Location: Austin, TX + Min bedrooms 2 + Max rent 2000.

Paste a search link to keep the site's own filters

Set the filters on apartments.com, copy the address bar (for example https://www.apartments.com/houses/seattle-wa/2-bedrooms-under-3000/) and paste it into Apartments.com links. Filters you also set in the form are added on top.

Turn on details only when you need units and fees

Search rows already carry name, address, coordinates, rent by bed type, beds, baths, phone, specials and amenity highlights. Property details reads each property's record (two extra requests per property): 100 properties took 92 seconds instead of 10.

⬆️ Output

Every property becomes one dataset item. Here is the table view of a run for Denver, CO with details on:

The same row as JSON (shortened):

{
  "id": "wglzxkk",
  "propertyName": "Gardens at Cherry Creek",
  "url": "https://www.apartments.com/gardens-at-cherry-creek-denver-co/wglzxkk/",
  "lastUpdated": "2026-10-20T20:56:51.173Z",
  "propertyType": "Apartment",
  "location": { "fullAddress": "225 S Harrison St, Denver, CO 80209", "county": "Denver", "neighborhood": "Cherry Creek" },
  "coordinates": { "latitude": 39.71253, "longitude": -104.94211 },
  "rating": 4.7,
  "reviewCount": 33,
  "rent": { "min": 1795, "max": 2995, "currency": "USD" },
  "rentByBedType": [{ "beds": "1 Bed", "price": "$1,910+", "priceMin": 1910, "isStartingAt": true }],
  "beds": "1 - 3 bd", "baths": "1 - 2 ba", "sqft": "611 - 1,375 sq ft",
  "contact": { "name": "The Connor Group", "phone": "(720) 881-0721", "website": "https://gardensatcherrycreek.com/?utm_source=apartments" },
  "yearBuilt": 2013, "unitCount": 191, "availableUnitCount": 17,
  "units": [{ "unitNumber": "B124", "modelName": "Sunflower", "beds": 1, "baths": 1, "sqft": 778, "rent": 1795, "availableDate": "2026-09-11" }],
  "fees": [{ "category": "One-time", "name": "Application", "value": "$28", "required": true }],
  "detailStatus": "ok"
}

Fields

Fill measured on two runs: 100 search rows (Chicago, details off) and 100 rows with details (Denver).

Field	Type	What it is	Fill
id, propertyName, url	string	Listing key, name (the address for a house), page link	100%
location	object	fullAddress, streetAddress, city, state, postalCode, county, neighborhood, countryCode	100% (neighborhood 85%, county with details)
coordinates	object	latitude, longitude	100%
rent, rentText, rentByBedType	object / string / array	Rent range, the text shown, starting rent per bed type	99-100%
baseRentByBedType, requiredMonthlyFees	array / number	Base rent when the shown price includes fees	67% (where the site shows total monthly price)
beds, baths (+ numeric min / max)	string	Bed and bath ranges	100%
contact	object	name (management company), phone, phones, website, logo, languages	phone 100%; website 98% with details
specials, hasSpecials	object / boolean	Move-in special: title, description, end date	42% of search rows
amenityHighlights, photo, photoCount, has3DTour, hasVideo, tier, position	mixed	What the search row shows	83-100%
lastUpdated, propertyType, rating, ratings, reviewCount	mixed	From the property record	100% with details
description, leaseTerms, yearBuilt, unitCount, stories, sqft	mixed	Property facts	76-100% with details
models	array	Floor plans: name, beds, baths, sqft, rent range, total monthly price, available and total units	100% with details
units	array	Available units: unit number, floor plan, beds, baths, sqft, rent, deposit, move-in date, lease terms	97% with details
fees, petPolicy, parking	array	Every published fee; pets with their fees; parking types and fees	99% / 98% / 79% with details
amenities, uniqueFeatures	object / array	Community and interior amenities, grouped as the site groups them	97-100% with details
schools, officeHours, managementCompany	array / object	Schools with rating and district; hours per weekday; manager	100% with details
reviews, photos	array	With the Reviews / Photos options	100% of properties that have reviews (25 of 30); photos 30 of 30
scores, soundScore, transit, pointsOfInterest, faq	mixed	With the scores option	sound score 30 of 30; walk/transit/drive/bike, transit, places, FAQ 18 of 30 (see Limits)
detailStatus	string	ok, not requested, not found, blocked, unreachable	100%
changeType, previousRent, rentDelta, rentDeltaPct, firstSeenAt	mixed	Monitor mode only	-

How can I use Apartments.com data?

• 📊 Rental market analysts: track asking rents per bed type, specials and vacancy (available units) across cities and ZIP codes
• 🏢 Property managers and owners: benchmark your property's rent, fees and amenities against every competitor within a mile
• 🧳 Relocation and corporate housing teams: shortlist pet-friendly, furnished or short-term units with move-in dates and phones
• 🏦 Investors and lenders: feed unit-level rent rolls, year built and unit counts into underwriting models
• 🧑‍💻 Proptech and listing apps: keep a property database fresh with coordinates, floor plans and photos
• 🤖 AI and research teams: give an agent current rents with compact rows, or train models on descriptions and reviews
• 📈 Everyone above: run it daily in monitor mode and get only new listings and rent changes

How much does it cost to scrape Apartments.com?

Apartments.com Scraper is pay-per-result with no start fee: $0.89 per 1,000 properties, plus $0.90 per 1,000 properties that get Property details. A property with details costs $0.00179. Rows that are filtered out, duplicates, unchanged monitor rows and listings that could not be read are not charged.

Properties	Search rows	With Property details
10	$0.0089	$0.0179
100	$0.089	$0.179
1,000	$0.89	$1.79
10,000	$8.90	$17.90

There is nothing else to pay: Apify platform usage is included in these prices. A 100-property search took 10 seconds; 100 properties with details took 92 seconds on 256 MB.

Integrations, API, scheduling & MCP

• Schedules: run Apartments.com Scraper daily or weekly from the Schedules tab; with Monitor mode each run returns only new properties and rent or specials changes.
• Webhooks: call a URL when a run finishes, to load the rows into your database or CRM.
• No-code: Make, Zapier, n8n, Google Sheets, Airtable and Slack through Apify integrations.
• API: start runs and read datasets from Node.js or Python with apify-client: code on the API tab and in the Apify API reference.
• MCP / AI agents: connect Claude, Cursor or any MCP client through the MCP tab and ask for rentals in plain language; compact: true keeps answers short.

More real estate and local data scrapers

🏠 Zillow Scraper: homes for sale and rent, Zestimate, price history	🏡 Realtor.com Scraper: listings, sold homes and rentals	📍 Apple Maps Scraper: places, phones, hours, ratings
⭐ Google Maps Reviews Scraper: reviews of any property or business	🗺️ Google Geocoding Scraper: addresses to coordinates and back	🧭 All TopApi actors

Limits & empty runs

• 700 properties per search: Apartments.com lists at most 700 properties for one search (17 full pages and 20). Turn on Go past 700 per search to split a big city into rent bands, or add filters or nearby locations.
• Speed: a 100-property search took 10 seconds; 100 properties with details took 92 seconds (six read in parallel).
• Scores: walk, transit, drive and bike scores, transit and nearby places come from the property page, which Apartments.com protects more strictly than its data; on a 30-property test 18 rows got them, the other 12 show walkScoreStatus. Sound scores came back for 30 of 30.
• Empty dataset: the location was not recognised (the run summary says so), the filters match nothing, or monitor mode found nothing new. Nothing is charged for an empty run.
• Not available: owner or agent personal contact details and email addresses (the site does not publish them), and rents of units that are not listed as available.

FAQ

How many properties can Apartments.com Scraper collect in one run?

One search returns up to 700 properties, the site's own cap. With Go past 700 per search the actor splits the search into rent bands and keeps going; list several locations to cover a metro area. Max properties caps the run.

Can I run Apartments.com Scraper on a schedule to track rent changes?

Yes. Save your input as a task, add a schedule, and turn on Monitor mode. Each run returns only new properties and the ones whose rent, specials or available units changed, with changeType, previousRent and the change in dollars and percent. Unchanged properties are not delivered and not charged.

Does Apartments.com Scraper return floor plans and available units?

Yes, with Property details on: every floor plan with its rent range and unit counts, and every available unit with unit number, size, rent, deposit and move-in date. On a 100-property Denver run that was 1,628 floor plans and 2,997 units.

Can I use Apartments.com Scraper with the Apify API?

Yes. Start runs, read the dataset and manage schedules through the API with apify-client for Node.js or Python.

Can I use Apartments.com Scraper through an MCP server?

Yes. Open the MCP tab, connect Claude Desktop, Cursor or another MCP client, and ask for apartments in plain language. Set compact: true for short rows.

Do I need an Apartments.com account, cookies or an API key?

No. Apartments.com Scraper reads what Apartments.com shows any visitor. You give a location, a link or a listing key, nothing else.

Does Apartments.com Scraper work in Canada?

Yes. Canadian cities such as "Toronto, ON" work the same way; rents come in CAD (rent.currency).

Why did my run return no results?

The location was not recognised (check the run summary's searches list), the filters exclude everything (try fewer), monitor mode found nothing new since the last run, or a property link points to a listing that has been removed (lookups.notFound in the summary). None of these is charged.

How is Apartments.com Scraper different from other Apartments.com scrapers?

Reviews, photos, interior amenities and walk scores are included with Property details at no extra event; floor plans and available units are in the same row; search links keep their filters; searches above 700 properties can be split; monitor mode reports rent changes; and there is no start fee.

Is it legal to scrape Apartments.com?

Apartments.com Scraper collects publicly available listing data and does not log in. Results can include names of reviewers or management companies; make sure your use of the data is lawful where you work. This actor is an independent tool and is not affiliated with Apartments.com or CoStar Group.

Your feedback

We keep improving Apartments.com Scraper. Found a bug or missing a field? Open an issue on the Issues tab.