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

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

Pricing

$2 per 1,000 results — you pay only for the results you actually get. No subscription, no monthly rental fee.

⚠️ A paid Apify plan is required

apartments.com is protected by an aggressive anti-scraping system. Getting past it needs infrastructure that is not available on the Apify Free plan, so runs started from a free account will fail to load pages and return no data.

Any paid Apify plan (Starter and above) works. If a run is started on a free account, the run log says so right at the top.

3 Actions — run step by step

The scraper works in 3 steps. Each step produces a dataset that feeds into the next one:

Step 1: Search listings          → listing URLs (listingId, url, position)
           ↓ Dataset ID
Step 2: Scrape property details  → full property data (120+ fields)
           ↓ Dataset ID
Step 3: Extract emails           → validated contact emails

Step	Action	Input	Output	Cost
1	Search listings	Search URLs from apartments.com	listingId, URL, name, price, city, coordinates	Cheapest — 1 request per page
2	Scrape property details	Listing URLs or Dataset ID from Step 1	120+ fields per property	Medium — 1 request per listing
3	Extract emails from websites	Website URLs or Dataset ID from Step 2	Validated emails per property	Cheapest — 1 request per website

Important: You must run them in order. Step 2 needs listing URLs (from Step 1). Step 3 needs property website URLs (from Step 2). You can stop at any step — for example, only run Step 1 to monitor new listings, or run Steps 1+2 if you don't need emails.

What data do you get?

Search listings output

{
  "listingId": "abc123",
  "url": "https://www.apartments.com/the-max-new-york-ny/abc123/",
  "position": 1,
  "name": "The Max",
  "address": {
    "full": "100 W 57th St, New York, NY 10019",
    "street": "100 W 57th St",
    "city": "New York",
    "state": "NY",
    "zip": "10019"
  },
  "rentRollup": [
    {"beds": "Studio", "price": "$3,917+"},
    {"beds": "1 Bed", "price": "$5,639"},
    {"beds": "2 Beds", "price": "$8,122"}
  ],
  "priceMin": 3917,
  "priceMax": 8122,
  "phone": "(929) 552-4351",
  "amenities": ["Pets Allowed", "Fitness Center", "In Unit Washer & Dryer"],
  "managementCompany": "UDR",
  "photo": "https://images1.apartments.com/i2/...",
  "photoCount": 21,
  "hasVideo": true,
  "has3DTour": true,
  "hasSpecials": true,
  "tier": "diamond",
  "_sourceUrl": "https://www.apartments.com/apartments/new-york-ny/"
}

Property details output (120+ fields)

Each listing returns 120+ 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 + text labels ("Exceptionally friendly")
Rating	Aggregate rating: star value and review count
Contact	Phone number, property website URL, languages spoken
Available units	Every vacant apartment: unit number, rent, sqft, total monthly price, lease terms, move-in date, rent specials, in-unit amenities
Models / Floor Plans	Model name, rent range, beds, baths, sqft range, available unit count, floor-plan image, photo and virtual-tour counts
Rentals (raw)	The site's own per-unit records — ~60 fields each — kept as-is for advanced use
Fees	Itemised one-time, monthly, pet, parking, situational and add-on charges — each with its group, amount and the property's own explanation. Plus lease terms, year built, unit count, stories.
Amenities	Grouped as the site groups them: Community Amenities, Apartment Features, Kitchen Features, Unique Features, …
Highlights	The property's headline selling points
Schools	Name, GreatSchools rating (1-10), public/private, grade range, enrolment, links
Colleges	Nearby colleges and universities with travel time and distance
Transportation	Transit/subway stops, commuter rail and airports — with travel mode, minutes and miles
Points of Interest	Shopping centres, parks, hospitals, military bases — with distance
Average rents by area	Neighbourhood vs city average rent for each bedroom count
Photos & video	All image URLs, video links, Matterport 3D tour link
Media Counts	Photos, videos, virtual tours, total images
Management company	Name and logo
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.

Emails output

{
  "url": "https://www.apartments.com/the-max-new-york-ny/abc123/",
  "listingId": "abc123",
  "propertyWebsite": "https://www.themax.com",
  "emails": ["leasing@themax.com", "info@themaxapts.com"],
  "emailCount": 2,
  "propertyName": "The Max",
  "propertyAddress": "100 W 57th St, New York, NY, 10019",
  "scrapedAt": "2026-04-08T12:00:00Z"
}

Fields url, listingId, propertyName, propertyAddress are passed from the Details dataset — use url or listingId to match emails back to properties.

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

Action 1: Search listings

Find listing URLs from apartments.com search pages. Fast and cheap — no detail fetching.

1. Go to apartments.com, search any location, apply filters
2. Copy the URL from your browser
3. Set Action = Search listings
4. Paste URL into Search URLs
5. Set Max Items — how many listings you want in total; it decides how far the scraper pages (40 listings per page, up to 28 pages)
6. Click Start

Input example:

{
  "action": "search",
  "startUrls": [
    { "url": "https://www.apartments.com/apartments/new-york-ny/" },
    { "url": "https://www.apartments.com/2-bedrooms-under-3000/chicago-il/" }
  ],
  "maxItems": 100
}

Action 2: Scrape property details

Get full property data (120+ fields) for specific listings. Use listing URLs directly or chain from a Search run.

Option A — Direct URLs:

1. Set Action = Scrape property details
2. Paste listing URLs into Listing URLs
3. Set Max Items
4. Click Start

Option B — Chain from Search:

1. Run Action 1 (Search) first
2. Copy the Dataset ID from the Search run
3. Set Action = Scrape property details
4. Paste Dataset ID into Dataset ID field
5. Click Start

Input example (direct):

{
  "action": "details",
  "listingUrls": [
    { "url": "https://www.apartments.com/the-max-new-york-ny/abc123/" }
  ],
  "maxItems": 10
}

Input example (chained):

{
  "action": "details",
  "datasetId": "abc123def456",
  "maxItems": 50
}

Action 3: Extract emails from websites

Visit property websites and extract validated contact emails. Use website URLs directly or chain from a Details run.

Option A — Direct URLs:

1. Set Action = Extract emails from websites
2. Paste property website URLs into Property Website URLs
3. Click Start

Option B — Chain from Details:

1. Run Action 2 (Details) first
2. Copy the Dataset ID from the Details run
3. Set Action = Extract emails from websites
4. Paste Dataset ID into Dataset ID field
5. Click Start

Input example (chained):

{
  "action": "emails",
  "datasetId": "xyz789ghi012",
  "maxItems": 100
}

Chaining actions with Dataset ID

Run all 3 actions in sequence for a complete pipeline:

Search listings → Dataset ID → Scrape property details → Dataset ID → Extract emails

1. Search with your search URLs → get Dataset ID from the run
2. Details with that Dataset ID → get a new Dataset ID
3. Emails with the Details Dataset ID → final email list

This gives you full control: pay only for what you need, stop at any step.

Where to find Dataset ID

After a run finishes, find the Dataset ID in one of these places:

1. Run page → Storage tab — click on the default dataset, the ID is shown at the top
2. URL bar — the ID is in the URL: https://console.apify.com/storage/datasets/<DATASET_ID>
3. API — the run result contains defaultDatasetId

Copy the ID and paste it into the Dataset ID field of the next action.

How records are linked between steps

Each step passes key fields to the next, so you can always match records back:

Step 1: Search     →  { listingId, url, position }
                          ↓ url
Step 2: Details    →  { url, listingId, name, address, contact.propertyWebsite, ... }
                          ↓ url, listingId, propertyWebsite, propertyName, propertyAddress
Step 3: Emails     →  { url, listingId, propertyWebsite, propertyName, propertyAddress, emails }

Linking field	From step	To step	Purpose
url	Search → Details → Emails	All	Listing URL — primary key across all 3 steps
listingId	Search → Details → Emails	All	Unique listing ID (e.g. abc123)
contact.propertyWebsite	Details	Emails (propertyWebsite)	Property's own website where emails are extracted from
propertyName	Details (name)	Emails	Property name for easy identification
propertyAddress	Details (address.full)	Emails	Full address for easy identification

Example: To match emails back to property details, join on url or listingId — both are present in Details and Emails output.

Input parameters

Parameter	Actions	Description	Default
Action	All	What to do: Search, Details, or Emails	Search
Search URLs	Search	apartments.com search URLs with filters	required for Search
Listing URLs	Details	Direct listing URLs (alternative to Dataset ID)	—
Website URLs	Emails	Property website URLs (alternative to Dataset ID)	—
Dataset ID	Details, Emails	Chain from a previous run's dataset	—
Max Items	All	Main limit — max results for the whole run. 0 = no limit.	100
Max Pages	Search	Optional extra cap on pages per search URL (40 listings/page, up to 28). 0 = as many as Max Items needs.	0
Concurrency	All	Parallel requests (1-20)	10

Max Items wins over Max Pages. In the Search action, paging stops the moment enough listings are collected — with maxItems: 10 you get 10 listings from the first page and the second page is never fetched. Set maxItems: 0 to take everything the search returns (up to 28 pages), and use maxPages only if you also want to cap how deep the scraper pages.

Property details 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",
    "languages": ["English", "Spanish"]
  },
  "scores": {
    "walkScore": 100,
    "transitScore": 100,
    "bikeScore": 70,
    "walkScoreLabel": "Exceptionally friendly",
    "transitScoreLabel": "Exceptionally friendly",
    "bikeScoreLabel": "Moderately friendly"
  },
  "rating": {
    "value": 4,
    "count": 100
  },
  "highlights": ["Walker's Paradise", "Premier Transit Location", "Rooftop Deck"],
  "models": [
    {
      "modelKey": "sw76tc4",
      "name": "1 Bedroom / 1 Bathroom",
      "rentMin": 3200,
      "rentMax": 4100,
      "beds": 1,
      "baths": 1.0,
      "sqftMin": 550,
      "sqftMax": 720,
      "availableUnits": 6,
      "leaseTermMin": 12,
      "leaseTermMax": 24,
      "floorPlanImage": "https://images1.apartments.com/i2/...",
      "amenities": ["Washer/Dryer", "Stainless Steel Appliances"]
    }
  ],
  "units": [
    {
      "unitKey": "6999fgt",
      "modelKey": "sw76tc4",
      "unitNumber": "1615",
      "beds": 1,
      "baths": 1.0,
      "rent": 3200,
      "sqft": 550,
      "totalMonthlyPriceMin": 3378,
      "availableDate": "2026-08-14T00:00:00",
      "availableDateText": "Available Now",
      "rentSpecials": "1 Month Free"
    }
  ],
  "fees": {
    "required": [
      {
        "group": "One-Time Basics / Due at Application",
        "name": "Application Fee Per Applicant",
        "amount": "$20",
        "note": "Charged per applicant."
      }
    ],
    "pet": [{"group": "Dogs", "name": "Pet Rent", "amount": "$30 / mo", "note": "Max of 1."}],
    "parking": [{"group": "Covered", "name": "Parking Fee", "amount": "$40 / mo"}],
    "leaseTerms": ["12 - 24 Month Leases"],
    "propertyInfo": {"yearBuilt": 2019, "totalUnits": 230, "stories": 42}
  },
  "amenities": {
    "Community Amenities": ["Pool", "Fitness Center", "Rooftop Terrace", "Doorman"],
    "Kitchen Features & Appliances": ["Dishwasher", "Stainless Steel Appliances", "Pantry"],
    "Unique Features": ["24-Hour Attended Lobby", "Amazon Lockers"]
  },
  "schools": [
    {
      "name": "PS 111",
      "type": "Public Elementary School",
      "rating": 8,
      "details": ["Grades PK-5", "610 Students"],
      "url": "https://www.apartments.com/schools/ny/ps-111/7x0mbtx/"
    }
  ],
  "transportation": {
    "Transit / Subway": [
      {"name": "Astoria", "mode": "Walk", "duration": "8 min", "distance": "0.4 mi"}
    ],
    "Airports": [{"name": "LaGuardia", "mode": "Drive", "duration": "21 min", "distance": "12.2 mi"}]
  },
  "averagePricesByArea": [
    {"beds": "Studio", "Midtown West": 3229, "New York, NY": 2766}
  ],
  "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
3 separate actions (Search / Details / Emails)	No	Yes
Chaining actions via Dataset ID	No	Yes
Email extraction from property websites	No	Yes
Score labels ("Exceptionally friendly")	No	Yes
Per-unit inventory (up to 300 units per property)	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
Native async TLS (primp)	No	Yes (fastest)

How it works (technical)

The scraper has 3 independent actions:

1. Search — Fetches search result pages and extracts listing URLs with pagination
2. Details — Visits each listing page and extracts data from:
   • startup.init() JavaScript object (100+ fields, including every unit record)
   • Schema.org JSON-LD (@graph with Product, BreadcrumbList, FAQPage)
   • HTML elements (scores, amenities, fees, schools, transportation)
3. Emails — 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, so no Playwright or Selenium overhead is needed.

Tips for best results

• Start with small runs (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 — use the Search action to quickly grab listing URLs. Great for monitoring new listings.
• Concurrency 5-10 is the sweet spot. Going above 15 may increase block rate.
• Chain actions for a complete pipeline: Search → Details → Emails. Pay only for what you need.

Limits

• The Apify Free plan cannot run this Actor — the site's anti-scraping protection cannot be passed from a free account. Upgrade to any paid plan
• A search query returns max 28 pages (~1,100 listings) — narrow the query with filters to reach more inventory
• Bedroom count (studios, 1-bedrooms … 4-bedrooms), max price (under-3000) and cheap filters carry over from your search URL. Other site filters are skipped (the run log says which)
• Some listings have no rating, scores, or property website
• Review texts, Drive Score and Sound Score are not currently returned
• Email extraction depends on whether the property website is reachable and contains a contact email

Having issues? Help me fix them faster

If you experience any problems, please share your run data with me so I can debug and improve the Actor:

1. Go to Apify Security Settings
2. Find "Share run data with developers"
3. In the "Manage list of Actors" section, check this Actor (or All Actors)
4. Save

This data is used only for debugging and helps me resolve issues much faster. Thank you!

Support

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

Cost estimate

Scenario	Action	Items	Requests	~Time
Quick search	Search	1 page (40 listings)	~1	~5s
City search	Search	5 pages (200 listings)	~5	~15s
Small details	Details	5 listings	~5	~30s
Medium details	Details	50 listings	~50	~3 min
Full city details	Details	720 listings	~720	~15 min
Email extraction	Emails	50 websites	~50	~2 min

Tags

Apartments.com Scraper, Rental Listings Scraper, Real Estate Data Extractor, Walk Score Extractor, Transit Score Scraper, Rental Unit Scraper, Apartment Contact Emails, Lead Generation Real Estate, Floor Plans Data, Rental Market Research, Property Management Analytics, Apartments.com API, Rent Price Tracker, Amenities Extractor, School Ratings Scraper, Neighborhood Data, Property Photos Scraper, Real Estate Lead Generation, How to Scrape Apartments.com, Extract Rental Data, Housing Market Data, Property Listings Scraper, Real Estate Web Scraping, Rental Price Comparison, US Rental Market Data, Email Extractor Real Estate, Apartment Fees and Deposits, Drive Score, Sound Score, Renter Reviews Extractor