Pricing

Rating

Developer

Actor stats

Categories

Share

Apartments.com Scraper — Rentals, Prices & Property Management Leads

Extract complete Apartments.com rental data — for any US city, get real rent prices, floor plans with per-unit rents, beds/baths/sqft, amenities, pet policy, ratings & reviews, walk score, photos, the leasing-office phone — and the field other scrapers leave empty: the property-management company behind each property. Every record is also a ready-to-use B2B lead, scored 0–100.

No login and no API key — extraction straight from Apartments.com (CoStar's #1 US rental marketplace) over US residential proxies, with a real browser engine that reliably clears Apartments.com's Akamai bot protection.

Why this Apartments.com scraper?

Most Apartments.com scrapers return the listing card and stop. This actor merges the search results, the full property page and schema.org data into the richest record in the category — and it's the only one that surfaces the management company as a contactable lead, with a built-in new-listing / rent-drop monitor.

Use cases

• B2B lead generation — property-management companies and leasing offices are active buyers of proptech, maintenance, insurance, accounting, smart-home, staffing and marketing services. Export them with phone, website and (opt-in) email, scored by leadScore.
• Rental market & pricing intelligence — track asking rents, concessions/specials, availability and floor-plan mix by city and property type.
• Rent-drop & new-listing alerts — schedule the actor in monitor mode to capture only properties that are new or whose rent changed.
• Competitive research — see which management companies run which properties, their ratings and amenities, across any market.
• CRM & aggregation — feed rental search apps, dashboards and outreach sequences with clean, structured data.

How to use

1. Sign up for Apify — the free plan is enough to try this actor.
2. Open the Apartments.com Scraper, add one or more locations as City, ST (e.g. Austin, TX), choose property types, and click Start.
3. Watch results stream into the dataset table.
4. Export as JSON, CSV, Excel, XML, or RSS — or pull results programmatically via the Apify API.

Input

{
"locations":["Austin, TX","Denver, CO"],
"propertyTypes":["apartments"],
"maxResults":100,
"includeListingDetails":true,
"enrichContactEmails":false,
"monitorMode":false
}

• locations — US cities as City, ST (e.g. Austin, TX). Combined with every selected property type.
• propertyTypes — apartments (default), houses, condos, townhomes.
• startUrls — optional Apartments.com city/search URLs (e.g. https://www.apartments.com/austin-tx/) or single property pages; use these to apply Apartments.com's own filters via the URL.
• maxResults / maxResultsPerSearch — caps (default 100 total).
• includeListingDetails (default true) — open each property page for the management company, website, full description, full amenity list, pet policy, fees, nearby schools, office hours, all floor plans (with beds/baths/sqft) and photos.
• minPrice / maxPrice / minBeds / maxBeds / petFriendlyOnly — client-side filters.
• enrichContactEmails (default false) — crawl the property's own website (home + contact/about, max 3 pages) for the management company's emails, phones and socials. Apartments.com never exposes emails — this is the only way to get them.
• monitorMode (default false) — return only properties that are new or whose rent changed since the last run (tagged monitorReason).
• proxyConfiguration — US residential proxy by default (Apartments.com blocks datacenter IPs).

Output

One record per property (type: "property"):

{
"type":"property",
"propertyId":"p9z8x7w",
"propertyName":"The Ashton Austin",
"url":"https://www.apartments.com/the-ashton-austin-tx/p9z8x7w/",
"propertyType":"apartments",
"streetAddress":"2207 Leon St",
"city":"Austin",
"state":"TX",
"zip":"78705",
"fullAddress":"2207 Leon St, Austin, TX 78705",
"latitude":30.2861,
"longitude":-97.7394,
"phone":"(512) 555-0142",
"managementCompany":"Greystar",
"propertyWebsite":"https://www.theashtonaustin.com",
"rentMin":1695,
"rentMax":3250,
"priceText":"$1,695 - $3,250",
"bedsMin":0,
"bedsMax":2,
"bedText":"Studio - 2 Beds",
"bathsMin":1,
"bathsMax":2,
"rating":4.3,
"reviewCount":184,
"floorPlans":[
{"name":"A1","beds":1,"baths":1,"sqft":685,"rent":1695}
],
"amenities":["Pool","Fitness Center","In Unit Washer & Dryer","Garage"],
"petFriendly":true,
"schools":["Bryker Woods Elementary"],
"officeHours":"Mon-Fri 9:00 AM - 6:00 PM; Sat 10:00 AM - 5:00 PM",
"photos":["https://images1.apartments.com/..."],
"contactEmails":["leasing@theashtonaustin.com"],
"leadScore":84,
"searchLocation":"Austin, TX",
"scrapedAt":"2026-06-24T12:00:00.000Z"
}

What to expect (field coverage)

Apartments.com is advertiser-entered data, so a few fields appear only when the property published them.

A blank field means the property didn't publish it — nothing is dropped, so you always get the richest record available.

Property type matters. Apartment communities carry the richest data (floor plans with per-unit beds/baths/sqft, fees, nearby schools, the management company, office hours). Individually-listed houses and condos on Apartments.com are often posted without a per-unit floor-plan breakdown, fees, or schools block, so those fields can be blank for the houses/condos types — that's the source, not the scraper. Core fields (name, address, rent, beds, photos, lead score) are populated across all types.

Automate & schedule

Run this actor on autopilot and pull results into your own stack:

• Apify API — start runs, fetch datasets, and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python — official SDKs.
• Schedules — run it daily/weekly with monitorMode to capture only new properties and rent drops.
• Webhooks — trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.

import{ ApifyClient }from'apify-client';
const client =newApifyClient({token:'MY_APIFY_TOKEN'});
const run =await client.actor('scrapesage/apartments-com-scraper').call({
locations:['Austin, TX'],
propertyTypes:['apartments'],
maxResults:100,
includeListingDetails:true,
});
const{ items }=await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} properties & leads`);

Integrate with any app

Connect the dataset to 5,000+ apps — no code required:

• Make — multi-step automation scenarios.
• Zapier — push new property-management leads straight into your CRM.
• Slack — get notified when a monitored city gets new listings or rent drops.
• Google Drive / Sheets — auto-export every run to a spreadsheet.
• Airbyte — pipe results into your data warehouse.
• GitHub — trigger runs from commits or releases.

Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the Apify MCP server — ask your assistant to "find apartments in Austin under $2,000 and list the management companies" and let it run the scraper for you.

More scrapers from scrapesage

Build a complete real-estate & property lead-gen stack:

• Rent.com Scraper — apartments, rentals and property leads from Rent.com.
• Zillow Scraper — for-sale, for-rent and sold listings with agent leads.
• Redfin Scraper — listings, prices and price history.
• Realtor.com Scraper — properties, prices and agent leads.
• Crexi Scraper — commercial real-estate listings and broker leads.
• FastExpert Scraper — real estate agent leads, reviews and production stats.
• Google Maps Scraper — local business leads with contacts.
• Website Contact Scraper — emails, phones and socials from any website.
• Yellow Pages Scraper — local business listings and contacts.
• BBB Scraper — accredited-business profiles and ratings.

Tips

• Keep includeListingDetails on for the management company, floor plans and amenities — it's the difference between a listing and a lead. It adds one fast page per property.
• Management leads: turn on enrichContactEmails to crawl the property's own website for the management company's email — the only way to get a contact email, since Apartments.com doesn't publish them.
• Big cities: split very large markets by property type and use maxResultsPerSearch to keep runs fast.
• Recurring monitoring: combine Schedules with monitorMode to track only new listings and rent drops.
• Proxies: keep the default US residential proxy — Apartments.com blocks datacenter IPs.
• Reliability: Apartments.com (CoStar) is behind Akamai and aggressively rotates IP blocks. This actor runs a real browser and automatically churns residential IPs until one clears, so the vast majority of runs return full data. During occasional short windows when Apartments.com blocks the whole residential pool, a run may end early with a clear message — simply re-run it a few minutes later.

FAQ

How do I scrape Apartments.com for a specific city? Put it in locations as City, ST (e.g. Austin, TX), or paste a city URL like https://www.apartments.com/austin-tx/ into startUrls. Combine with property types and filters to narrow.

Does it work without an API key or login? Yes. This actor extracts the same data a visitor sees from public Apartments.com pages — no key or login needed.

Where do the emails come from? Never from Apartments.com (they don't publish emails). With enrichContactEmails on, the actor visits the property's own public website and extracts publicly listed contact emails.

Can I export to Google Sheets, CSV, or Excel? Yes — one click in the dataset view, or automatically on every run via the Google Drive integration.

How do I monitor new listings or rent drops? Create a Schedule, turn on monitorMode, and optionally add a webhook to push new properties into your CRM as they appear.

A field is null — why? Some properties don't publish a rating, website, or full amenity list. Fields are blank only when the data doesn't exist, not because the scraper skipped them.

Is scraping Apartments.com legal? This actor collects publicly available data only. You're responsible for using the data in compliance with applicable laws (e.g. GDPR/CCPA for personal data) and Apartments.com's terms.

Need help?

Open an issue on the actor's Issues tab, or visit the Apify help center. Feature requests are welcome — this actor is actively maintained.