Dedicated Apartments.com APIApartments.com Scraper API — Rental Listings with Unit-Level Pricing
The fastest way to start scraping Apartments.com at scale. Structured JSON for rental search and full property detail — including every individual rentable unit with its own rent, beds, baths, square footage and availability date, not just a property\u2019s advertised range. Anti-bot bypass built in. No Apartments.com account.
No credit card required · PAYG credits never expire
# Search 1-bed rentals in Kansas City
import scrapebadger
client = scrapebadger.ScrapeBadger("sb_live_...")
results = client.apartments.search(
location="kansas-city-mo",
beds=1
){
"property_id": 12345678,
"street_line": "1200 Barton Hills Dr",
"city": "Austin", "state": "TX",
"price": 675000,
"beds": 3, "baths": 2, "sqft": 1620,
"days_on_market": 6
}Apartments.com API — 5 Dedicated Endpoints
Structured JSON responses with normalized data models. No HTML parsing. No proxy management. No Apartments.com API key.
/v1/apartments/search/v1/apartments/property?url=/v1/apartments/properties/{slug}/{id}Every Field You Need, Ready to Use
All fields are normalized from Apartments.com’s server-rendered pages — no browser, no HTML for you to parse. Floor plans and their units come pre-parsed and nested, plus a flattened units array across the whole property. Availability is returned verbatim (“Now”, “Sep 3”): the site renders no year, so it is deliberately not converted to a date.
Property
property_idstringapartments.com listing keynamestringProperty nameaddress_linestringFull address as renderedcity / state / postal_codestringSplit address componentslatitude / longitudefloatGeo coordinatesphonestringLeasing phone numberrent_range_textstringAdvertised range, e.g. $1,288 - $5,412beds_textstringAdvertised bed range, e.g. 1 - 3 bdamenitiesarrayAmenity labels, deduplicatedoffice_hoursarrayLeasing-office hoursphotosarrayGallery image URLsfloor_plansarrayModels with price range, beds/baths, sqft and their unitsunitsarrayEvery unit across every floor plan, flattenedtotal_units_availableintegerCount of individually-listed unitsUnit
unit_numberstringUnit label, e.g. 8625-2231rentintegerThe advertised monthly rent — use this onemax_term_rentintegerRaw data-maxrent (~2x advertised, an upper bound across lease terms)bedsfloatBedrooms — 0.0 for a studiobathsfloatBathroomssqftintegerSquare footageavailable_textstringAvailability verbatim — "Now", "Sep 3"model_namestringFloor plan this unit belongs toapply_now_urlstringDirect application link when offeredphoto_countintegerPhotos attached to the unitUnited States
Both countries are served from apartments.com behind a US residential proxy. There is no separate market or currency parameter to manage.
From API call to clean JSON in seconds
No proxy setup. No session management. No anti-bot configuration.
Send a request
Call any Apartments.com endpoint with your API key — a location slug to search, or a property URL for full unit-level detail. REST or SDK.
We handle the hard parts
ScrapeBadger routes the request through a residential proxy with Chrome impersonation, detects blocks, and falls back to a real browser when needed.
Get structured JSON
Receive normalized JSON with floor plans, per-unit rent and availability, amenities and photo links — ready to store, analyse, or pipe into your application.
What Developers Build with Apartments.com Data
Scraping Apartments.com gives you real rental-market signals — asking rent per unit, unit mix by beds and square footage, and how availability moves across a market.
Rent comps & pricing
Pull unit-level rents across a market to build true comparables — the actual asking rent per unit, per floor plan, not just a property’s advertised range.
Availability monitoring
Track which units come on and off the market and when they become available to spot absorption rates and seasonal turnover.
Multifamily research
Assemble unit mixes by beds, baths and square footage across a portfolio or submarket to benchmark rent per square foot.
Renter-facing products
Power search and alerting in a rental app with live listings, amenities, photos and per-unit availability dates.
AI training datasets
Collect structured rental data — unit specs, amenities, descriptions and photos — for pricing, classification and recommendation models.
Lead & inventory pipelines
Feed newly-available units and price changes into CRM and lead-gen tooling, filtered by bedroom count and rent band.
Pay Per Request. Credits Never Expire.
You only pay for successful responses — failed requests are always free. PAYG credits never expire; volume subscription tiers reduce per-credit cost further.
| Endpoint | Credits / request | PAYG | Subscription |
|---|---|---|---|
Search Listings /search | 5 credits | — | — |
Property Detail /property?url= | 5 credits | — | — |
Property by slug + id /properties/{slug}/{id} | 5 credits | — | — |
See the full plan comparison on the pricing page — subscription tiers step down per-credit cost beyond the cheapest column shown above.
Built for Reliability at Scale
ScrapeBadger's Apartments.com Scraper API handles everything Apartments.com throws at automated requests — so your pipeline keeps running.
Unit-level pricing, not just ranges
Most rental data stops at "$1,288 – $5,412". This returns every individual rentable unit with its own rent, beds, baths, square footage and availability date — the granularity rent comps actually need.
Anti-bot bypass included
apartments.com sits behind Akamai Bot Manager. ScrapeBadger handles fingerprinting, exit rotation and block detection automatically — no proxies or CAPTCHAs on your end.
No JavaScript rendering needed
The whole page is server-rendered, so responses come back in roughly two seconds with no browser in the path — far faster and cheaper than a headless-browser approach.
Structured JSON, no parsing
Normalized typed JSON — no HTML to parse and no fragile CSS selectors that break when apartments.com restyles its unit grid.
Pay per success only
Credits are deducted only for successful responses. A blocked request returns 422 and costs nothing.
Python & Node.js SDKs
Official typed SDKs for Python and Node.js/TypeScript, plus a CLI and hosted MCP server. Or call the REST API directly from any language.
Simple Integration. Any Language.
Get started in minutes with Python, Node.js, or plain HTTP requests.
The scrapebadger Python library wraps the Apartments.com API with typed methods. Install with pip install scrapebadger, then start scraping Apartments.com in a few lines of code.
from scrapebadger import ScrapeBadger
client = ScrapeBadger("sb_live_...")
# Search 1-bed rentals in Kansas City under $1,500
results = client.apartments.search(
location="Austin, TX",
price_max=700000,
)
# Get the full detail for the first few results
for home in results.results[:3]:
detail = client.apartments.property(property_id=home.property_id)
print(unit.unit_number, unit.rent, unit.available_text)import ScrapeBadger from 'scrapebadger'
const client = new ScrapeBadger({
apiKey: 'sb_live_...'
})
// Pull every rentable unit with its own rent and availability
const { property } = await client.apartments.property({
propertyId: '12345678',
})
prop.units.forEach((u) => console.log(u.unit_number, u.rent, u.available_text))
for (const event of property.priceHistory) {
console.log(event.date, event.event, event.price)
}Frequently Asked Questions
Common questions about scraping Apartments.com with the API — Python, Node.js, or REST.
Do I need an apartments.com account or API key?
No. You only need a ScrapeBadger API key. There is no apartments.com developer programme and no upstream credentials are involved.
What is the difference between rent and max_term_rent?
Use rent. It is the advertised monthly price the site shows a renter. max_term_rent is apartments.com’s raw data-maxrent attribute, which measures roughly twice the advertised rent and appears to be an upper bound across lease terms — we expose it unparsed for completeness, but it is not the rent.
How do I find a location slug?
It is the segment right after the domain in apartments.com’s own URLs — kansas-city-mo, new-york-ny, austin-tx — or a ZIP code such as 64108.
Why do some properties return zero units?
Some properties advertise floor plans rather than individual units. Those return valid plan-level beds, baths, rent and square footage with units_available of 0. That is the site’s own layout, not missing data.
Is availability a real date?
It is returned verbatim as text — "Now", "Sep 3". apartments.com renders no year, so converting it to a timestamp would mean guessing the rollover. We leave it as text deliberately.
How many results does a search return?
Up to 40 property cards per page, with pages 1 to 28. The response includes the site’s own total so you know how deep the result set goes.
Bigger volume? Save up to 64%
Per-request credit costs are listed above. For higher monthly volume, subscription tiers reduce the per-credit rate substantially. All Apartments.com endpoints — search and property detail with unit-level pricing — are included on every plan.
Start Scraping Apartments.com Today
1,000 free credits. No credit card. Get your API key in under a minute.
PAYG credits never expire · Pay only for successful requests · US coverage