Apartments.com Scraper — Rental Listings, Scores, Reviews & Email Contacts

Extract every detail from apartments.com listings — pricing, walk/transit/bike/drive/sound scores, renter reviews, floor plans, fees, amenities, schools, photos, and contact emails scraped directly from property websites.

Pricing

Plan	Price	Best For	Link
Pay per result	$2 / 1,000 results	One-time analysis, small batches	Apartments Scraper Usage
Monthly subscription	$20 / month	Regular monitoring, unlimited usage	Apartments Scraper

Both plans have identical functionality — choose the one that fits your workflow.

What data do you get?

Each listing returns 94+ structured fields organized into clean, nested JSON:

Category	Fields
Property	Name, type, listing ID, description, year built, total units, stories
Address	Street, city, state, ZIP, county, neighborhood, DMA, full formatted address
Pricing	Min/max rent, currency
Location	Latitude, longitude
Scores	Walk Score, Transit Score, Bike Score, Drive Score, Sound Score + text labels ("Very Walkable", "Exceptional Public Transit")
Rating & Reviews	Aggregate rating (value, count), individual reviews with author name, date, and full text
Contact	Phone number, property website URL, emails extracted from the property website, languages spoken
Units / Rentals	Up to 74 fields per unit — rent, beds, baths, sqft, deposit, lease terms, availability date, interior amenities
Models / Floor Plans	Model name, rent range, beds, baths, sqft range, available units count
Fees	Pet fees, parking fees, general fees — each with name and dollar amount. Lease terms.
Amenities	Grouped by category: Community Amenities, Apartment Features
Schools	Name, rating (1-10), public/private, type (Elementary/Middle/High), link
Transportation	Nearby stations, terminals, subway stops
Points of Interest	Parks, shopping centers, hospitals, museums, libraries
Photos	All image URLs from the listing
Media Counts	Photos, videos, virtual tours, total images
Breadcrumb	Full geo hierarchy (State > County > City > Neighborhood)
FAQ	Questions and answers from the listing page
Office Hours	Today's hours (open/close) + full weekly schedule
Flags	15+ boolean flags: has3DTour, hasVideo, hasRentSpecials, petsAllowed, hasApplyNow, etc.

Who is this for?

• Real estate investors — Compare rental pricing, scores, and fees across markets to find undervalued opportunities
• Property managers — Monitor competitor listings, track rent changes, analyze amenity offerings
• Relocation services — Get walk/transit/bike scores, schools, transportation for client recommendations
• Lead generation agencies — Extract property management emails and phone numbers for outreach campaigns
• Market researchers — Bulk data on rent trends, vacancy rates, property types across US cities
• Data analysts — Clean, structured JSON/CSV ready for dashboards, spreadsheets, and BI tools
• Rental aggregators — Build your own rental search platform with comprehensive listing data

How to use

Step 1: Get your search URL

1. Go to apartments.com
2. Search any location — city, ZIP code, neighborhood
3. Apply any filters you need — price range, bedrooms, pet-friendly, property type
4. Copy the URL from your browser

That's it. The URL contains all your filters. Examples:

What you want	URL
Apartments in New York	https://www.apartments.com/apartments/new-york-ny/
2-bed under $3,000 in Chicago	https://www.apartments.com/2-bedrooms-under-3000/chicago-il/
Pet-friendly in Miami	https://www.apartments.com/pet-friendly/miami-fl/
Condos in San Francisco	https://www.apartments.com/condos/san-francisco-ca/
Houses in Austin	https://www.apartments.com/houses/austin-tx/

Step 2: Configure the scraper

Parameter	Description	Default
Search URLs	One or more apartments.com search URLs. You can scrape multiple cities in a single run.	required
Max Pages	How many search pages to scrape per URL. Each page has ~40 listings. Max 18 pages (~720 listings). Set 0 for all.	2
Max Items	How many listings to get full details for. Set 0 for all.	10
Include Details	Fetch full property pages (scores, reviews, fees, units). If false, returns only search results — much faster.	true
Extract Emails	Visit each property's external website and extract contact emails. Unique lead generation feature.	true
Concurrency	Parallel requests (1-20). Higher = faster, but may trigger more blocks.	10
Proxy	Apify Proxy config. Residential US proxies are pre-configured and strongly recommended — the site uses Akamai Bot Manager.	Residential US

Step 3: Run and export

Click Start and wait. Results appear in the Dataset tab as structured JSON. Export to:

• JSON — for APIs and applications
• CSV / Excel — for spreadsheets and data analysis
• Direct API — integrate into your workflow via Apify API

Output example

{
  "url": "https://www.apartments.com/the-max-new-york-ny/abc123/",
  "listingId": "abc123",
  "name": "The Max",
  "propertyType": "Apartment",
  "address": {
    "full": "100 W 57th St, New York, NY, 10019",
    "street": "100 W 57th St",
    "city": "New York",
    "state": "NY",
    "zip": "10019",
    "neighborhood": "Midtown West",
    "county": "New York County"
  },
  "location": {
    "latitude": 40.7648,
    "longitude": -73.9798
  },
  "pricing": {
    "min": 3200,
    "max": 8500,
    "currency": "USD"
  },
  "contact": {
    "phone": "+1-212-555-0100",
    "propertyWebsite": "https://www.themax.com",
    "emails": ["leasing@themax.com", "info@themaxapts.com"],
    "languages": ["English", "Spanish"]
  },
  "scores": {
    "walkScore": 98,
    "transitScore": 100,
    "driveScore": 45,
    "bikeScore": 82,
    "soundScore": 70,
    "walkScoreLabel": "Walker's Paradise",
    "transitScoreLabel": "Rider's Paradise"
  },
  "rating": {
    "value": 4.5,
    "count": 12
  },
  "reviews": [
    {
      "author": "Sarah M.",
      "date": "2025-11-15",
      "text": "Amazing location, responsive management..."
    }
  ],
  "models": [
    {
      "name": "1 Bedroom / 1 Bathroom",
      "rentMin": 3200,
      "rentMax": 4100,
      "beds": 1,
      "baths": 1.0,
      "sqftMin": 550,
      "sqftMax": 720
    }
  ],
  "fees": {
    "pet": [{"name": "Monthly Pet Fee", "amount": "$75 / mo"}],
    "parking": [{"name": "Garage", "amount": "$350 / mo"}],
    "general": [{"name": "Application Fee", "amount": "$50"}],
    "lease": ["12 - 14 Month Leases"],
    "propertyInfo": {"yearBuilt": 2019, "totalUnits": 230, "stories": 42}
  },
  "amenities": {
    "Community Amenities": ["Pool", "Fitness Center", "Rooftop Terrace", "Doorman", "Concierge"],
    "Apartment Features": ["Washer/Dryer", "Dishwasher", "Hardwood Floors", "Walk-In Closets"]
  },
  "schools": [
    {"name": "PS 111", "rating": 8, "type": "Elementary School", "visibility": "Public"}
  ],
  "faq": [
    {"question": "Is parking available?", "answer": "Yes, garage parking is available for $350/month."}
  ],
  "officeHours": {
    "today": {"open": "09:00", "close": "18:00", "isClosed": false}
  },
  "media": {
    "photos": ["https://images1.apartments.com/i2/..."],
    "photoCount": 45,
    "videoCount": 2,
    "virtualTourCount": 3
  },
  "breadcrumb": [
    {"name": "New York", "url": "https://www.apartments.com/ny/"},
    {"name": "New York County", "url": "https://www.apartments.com/new-york-county-ny/"},
    {"name": "New York", "url": "https://www.apartments.com/new-york-ny/"}
  ]
}

What makes this scraper different?

Compared to other apartments.com scrapers on Apify:

Feature	Others	This scraper
Email extraction from property websites	No	Yes
Drive Score	No	Yes
Score labels ("Very Walkable")	No	Yes
Full review texts with author & date	No	Yes
FAQ from listing	No	Yes
Office hours	No	Yes
Lease terms	No	Yes
Year built, units, stories	No	Yes
Property website URL	No	Yes
Languages spoken	No	Yes
Amenities by category	1 scraper	Yes
Async concurrency (10 parallel)	Varies	Yes
Search-only mode (no details)	No	Yes
Native async TLS (primp)	No	Yes (fastest)

How it works (technical)

1. Search phase — Fetches search result pages and extracts listing URLs with pagination
2. Detail phase — Visits each listing page and extracts data from:
   • startup.init() JavaScript object (94+ fields)
   • Schema.org JSON-LD (@graph with Product, BreadcrumbList, FAQPage)
   • HTML elements (scores, amenities, fees, schools, transportation)
3. Email phase (optional) — Follows the property website link and extracts validated emails with strict filtering (junk domains, placeholder addresses, file extensions excluded)

The scraper uses primp — a TLS client that generates browser-identical fingerprints, bypassing Akamai Bot Manager without Playwright or Selenium overhead. Each request gets a unique proxy session ID for IP rotation.

Tips for best results

• Use Residential US proxies (pre-configured). Datacenter proxies will be blocked by Akamai.
• Start with small runs (maxPages: 1, maxItems: 5) to verify your setup before scaling.
• Multiple cities in one run — add several search URLs to scrape New York, Chicago, and Miami simultaneously.
• Search-only mode — set includeDetails: false to quickly grab listing URLs without full details. Great for monitoring new listings.
• Concurrency 5-10 is the sweet spot. Going above 15 may increase block rate.

Limits

• apartments.com shows max 18 pages (~720 listings) per search query
• Some listings may not have scores, reviews, or property websites
• Email extraction depends on whether the property website is reachable and contains a contact email
• The site uses Akamai Bot Manager — occasional 403 blocks are expected and handled automatically with session rotation

Support

Having issues or need a custom feature? Contact: africanec@gmail.com

Cost estimate

Scenario	Pages	Details	Requests	~Time
Quick test	1 page (40 listings)	5 details	~10	~30s
Single city	5 pages (200 listings)	50 details	~60	~3 min
Full city scan	18 pages (720 listings)	All	~740	~15 min
Multi-city (5 cities)	5 pages each	100 total	~200	~8 min