Apartments.com Scraper

Extract rental listings from Apartments.com by entering location search queries — get property names, addresses, prices, bedroom/bathroom counts, photos, amenities, and contact details for any city in the US, for just $1 per 1,000 listings scraped (detailed listing data for $3 per 1,000). Whether you're tracking market rents, monitoring competitor inventory, or building a rental lead database, this scraper turns a manual browsing chore into a repeatable, automated data pipeline.

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What can Apartments.com Scraper do for you?

• Find rentals in any US location — search by city, state, neighborhood, ZIP, or even a landmark ("near UCLA campus") and get matching listings back as clean, structured data.
• Compare rent prices at scale — capture price ranges, bed/bath counts, and square footage across thousands of properties to build rent comps and market reports.
• Monitor inventory and availability — schedule recurring runs to track which properties are listed, priced, or taken off the market over time.
• Enrich listings with detail-page data — enable includeListingDetails to pull full descriptions, amenity lists, photo galleries, floor plans, and property specifications (year built, property type, location coordinates).
• Feed your own stack — push results into your CRM, spreadsheet, or analytics pipeline via the Apify API or dataset exports (JSON, CSV, Excel).

What data can you extract?

Field	Description
🏠 name	Property name
📍 address / addressFull	Street address and full formatted address
💰 priceText / priceMin / priceMax	Monthly rent range as text and numeric min/max
🛏️ bedRangeText / bedsMin	Bedroom options and minimum bed count
🛁 bathsMin	Minimum bathroom count (detail pages)
📐 squareFeet	Property square footage (detail pages)
🖼️ imageUrl / imageUrls	Primary photo and full gallery (detail pages)
🏢 propertyType / yearBuilt	Property type and construction year (detail pages)
📞 phone	Leasing office phone number
🏷️ managementCompany	Property management company
✨ amenityHighlights / amenities	Featured amenities (detail pages include full lists)
🏗️ floorPlans	Floor plan images (detail pages)
🧭 latitude / longitude	Exact property coordinates (detail pages)
🥽 has3DTour	Whether a 3D tour is available
🔗 url / id	Direct listing URL and listing ID
🔎 sourceQuery	The search query that produced the listing

Why use this scraper?

• Market research — Build rent comps, supply maps, and pricing trends for any metro area without manually tabbing through listing pages.
• Competitive monitoring — Track how landlords and property managers price and position their inventory over time.
• Investment analysis — Screen rental markets by price and unit mix before committing to a market.
• Lead generation — Collect property management contacts and phone numbers for outreach and partnerships.
• Automation — Schedule recurring runs and pipe fresh listings into your own database, website, or alerts.

Pricing

• $1/1,000 listings scraped, $3/1,000 detailed listings
• Listing events are billed per 1,000 dataset items; detailed listing events (with includeListingDetails enabled) are billed per 1,000 detail-page fetches.
• Apify plan discounts apply automatically: Bronze $0.99/1,000 listings & $2.90/1,000 details, Silver $0.98 & $2.80, Gold $0.97 & $2.70.
• No hidden fees or limits on usage.

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How to use Apartments.com Scraper

1. Create a free Apify account at apify.com.
2. Open the Apartments.com Scraper and click Try for free.
3. Enter one or more search queries — e.g. New York, NY or Austin, TX — and optionally set price/bed filters or a max item count.
4. Start the run — the actor resolves each query and collects matching listings.
5. Download your data — export the dataset as JSON, HTML, CSV, or Excel, or fetch it via the Apify API.

Input

Field	Type	Required	Description
searchQueries	array of strings	✅	Location search queries for apartments.com (e.g. "New York, NY", "Austin, TX", "near UCLA campus"). Each query is resolved via smart search.
filters	object	—	Filter listings by bedrooms and monthly rent, e.g. {"minBeds": 0, "maxBeds": 3, "minPrice": 1000, "maxPrice": 5000}
maxItems	integer	—	Maximum number of listings to scrape (0 = unlimited)
includeListingDetails	boolean	—	Fetch individual listing detail pages for richer data (price, description, amenities, floor plans, images). Charged as a listing-details event.
proxyConfiguration	object	—	Proxy settings for anti-bot protection. Apify Residential proxy is required for apartments.com.

📝 Copy for Use:

{
  "searchQueries": ["New York, NY", "Austin, TX"],
  "filters": {
    "minBeds": 0,
    "maxBeds": 3,
    "minPrice": 1000,
    "maxPrice": 5000
  },
  "maxItems": 10,
  "includeListingDetails": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Output

Each dataset item is a structured rental listing, e.g.:

{
  "id": "1234567890",
  "url": "https://www.apartments.com/the-grand-apartments/1234567890/",
  "name": "The Grand Apartments",
  "addressFull": "123 Main St, New York, NY 10001",
  "priceText": "$2,400 – $3,200",
  "priceMin": 2400,
  "priceMax": 3200,
  "bedRangeText": "1 Bed, 2 Beds",
  "bedsMin": 1,
  "has3DTour": true,
  "phone": "(212) 555-0134",
  "managementCompany": "Grand Properties",
  "amenityHighlights": ["Gym", "Pool", "Pet Friendly"],
  "imageUrl": "https://images1.apartments.com/units/1234567890/photo.jpg",
  "sourceQuery": "New York, NY",
  "scrapedAt": "2026-08-03T15:00:00.000Z"
}

Why Choose This Scraper?

• Affordable: Pay only $1 per 1,000 listings scraped, with detailed listing data at $3 per 1,000.
• Comprehensive: Search results plus optional detail-page enrichment — prices, amenities, photos, floor plans, property specs, and contact info.
• Easy to Use: Just type a location query and run. No browser setup, no selectors, no code required.
• Reliable: Built for apartments.com's anti-bot defenses with residential proxy support and smart search resolution.

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🙌 Why Buy Through Our Affiliate Link?

• Exclusive Deals: Some providers may offer special discounts or bonuses when you use our link.
• Support Our Work: Each purchase helps us maintain and improve the tools and services we provide.
• No Extra Cost: You pay the same price, but part of it goes to supporting our efforts.

Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

from apify_client import ApifyClient

client = ApifyClient("MY-APIFY-TOKEN")

result = client.actor("rigelbytes/apartments-scraper").call(
    run_input={
        "searchQueries": ["New York, NY", "Austin, TX"],
        "filters": {"minBeds": 0, "maxBeds": 3, "minPrice": 1000, "maxPrice": 5000},
        "maxItems": 10,
        "includeListingDetails": False,
        "proxyConfiguration": {"useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"]},
    },
)

npm install apify-client

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "MY-APIFY-TOKEN" });

const result = await client
  .actor("rigelbytes/apartments-scraper")
  .call({
    searchQueries: ["New York, NY", "Austin, TX"],
    filters: { minBeds: 0, maxBeds: 3, minPrice: 1000, maxPrice: 5000 },
    maxItems: 10,
    includeListingDetails: false,
    proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ["RESIDENTIAL"] },
  });

curl "https://api.apify.com/v2/acts/rigelbytes/apartments-scraper/runs?token=MY-APIFY-TOKEN" \
  -d '{
    "searchQueries": ["New York, NY", "Austin, TX"],
    "filters": {"minBeds": 0, "maxBeds": 3, "minPrice": 1000, "maxPrice": 5000},
    "maxItems": 10,
    "includeListingDetails": false,
    "proxyConfiguration": {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}
  }'

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Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

Why Use Proxies?

• Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
• Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
• Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

Types of Proxies

1. Residential Proxies
   • Real IP addresses provided by ISPs to home users.
   • They mimic regular users, making them harder to detect.
   • Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   • IP addresses from servers in data centers.
   • Faster and cheaper than residential proxies but easier to detect and block.
   • Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   • IPs provided by mobile carriers (3G/4G/5G networks).
   • Very difficult to detect, as they appear as regular mobile users.
   • Best for: Mobile-related scraping or avoiding sophisticated blocks.

Rotating Proxies vs. Straight Proxies

• Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
• Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or book an appointment with us to learn more about how we can help you achieve your data goals.

Detailed Data

Here are a few sample records scraped by the Apartments.com Scraper:

[
  {
    "id": "1234567890",
    "url": "https://www.apartments.com/the-grand-apartments/1234567890/",
    "name": "The Grand Apartments",
    "addressFull": "123 Main St, New York, NY 10001",
    "priceText": "$2,400 – $3,200",
    "priceMin": 2400,
    "priceMax": 3200,
    "bedRangeText": "1 Bed, 2 Beds",
    "bedsMin": 1,
    "bathsMin": 1,
    "squareFeet": 850,
    "propertyType": "Apartment",
    "yearBuilt": 2015,
    "phone": "(212) 555-0134",
    "managementCompany": "Grand Properties",
    "amenityHighlights": ["Gym", "Pool", "Pet Friendly"],
    "amenities": ["Gym", "Swimming Pool", "Pet Friendly", "Garage Parking"],
    "has3DTour": true,
    "latitude": 40.7128,
    "longitude": -74.006,
    "imageUrl": "https://images1.apartments.com/units/1234567890/photo.jpg",
    "sourceQuery": "New York, NY",
    "scrapedAt": "2026-08-03T15:00:00.000Z"
  }
]