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.

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 (90+ 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, position	Cheapest — 1 request per page
2	Scrape property details	Listing URLs or Dataset ID from Step 1	90+ 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,
  "_sourceUrl": "https://www.apartments.com/apartments/new-york-ny/"
}

Property details output (90+ fields)

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, 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.

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 Pages (each page has ~40 listings, max 18 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/" }
  ],
  "maxPages": 2
}

Action 2: Scrape property details

Get full property data (90+ 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	apartments.com 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 Pages	Search	Pages per search URL (~40 listings/page, max 18). 0 = all.	2
Max Items	Details, Emails	Max items to process. 0 = all.	10
Concurrency	All	Parallel requests (1-20)	10
Proxy	All	Residential US recommended for Search/Details. Auto for Emails.	Residential US

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": 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
3 separate actions (Search / Details / Emails)	No	Yes
Chaining actions via Dataset ID	No	Yes
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
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 (94+ fields)
   • 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, 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) for Search and Details. Auto proxies work fine for Emails.
• 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 — 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

• 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

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, Property Reviews 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