🏢 Apartments.com Rental Scraper [From 💰$0.85/1K] avatar

🏢 Apartments.com Rental Scraper [From 💰$0.85/1K]

Pricing

from $0.85 / 1,000 results

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🏢 Apartments.com Rental Scraper [From 💰$0.85/1K]

🏢 Apartments.com Rental Scraper [From 💰$0.85/1K]

Extract apartment communities and rental listings from Apartments.com — monthly rent ranges, bedroom configurations, property phone numbers, addresses, amenities, and photos.

Pricing

from $0.85 / 1,000 results

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0.0

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Developer

Khan

Khan

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1

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a day ago

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What does Apartments.com Rental Scraper do?

Apartments.com Rental Scraper is a multifamily residential real estate data extraction tool that scrapes apartment communities, rental listings, monthly rent ranges, studio-to-3BR unit configurations, leasing office phone numbers, street addresses, and building amenities directly from Apartments.com.

Whether you are compiling multifamily rent comps across competing apartment communities, building B2B outreach lists of property management offices for PropTech or vendor sales, or underwriting rental supply in growing US metros, this scraper delivers clean, structured records in seconds.

🛡️ Zero Proxy Configuration Required: Anti-blocking and regional routing are handled automatically out of the box — just paste your target URLs and click Start.

What data can you extract with Apartments.com Rental Scraper?

🏢 Community Identity & Street Address — apartment building title, full street address, and unique Apartments.com property id
💵 Monthly Rent Range — active rent_range, beds_range across available studio, 1-bedroom, 2-bedroom, and 3-bedroom floor plans (e.g., $2,350 - $4,800)
🛏️ Bedroom Configurations — available unit mix summary in beds (e.g., Studio - 3 Beds)
📞 Leasing Office Contact — direct property management or leasing office phone number
✨ Building Amenities & Media — array of community amenities (Fitness Center, Rooftop Deck, In-Unit Washer & Dryer, Pet Friendly), primary image URL, and canonical community url

Why scrape apartment communities and rent comps from Apartments.com?

💪 Automate multifamily rent comp surveys — replace manual weekly phone surveys by extracting competing communities' live rent ranges and unit availability across your submarket
🕵️ Build B2B property management lead lists — capture direct leasing office phone numbers (phone), building names, and street addresses for PropTech, broadband, landscaping, security, or maintenance sales
✨ Benchmark amenity packages across Class A, B, and C assets — see which competing buildings offer rooftop decks, EV charging, coworking lounges, or pet-friendly policies
👍 Zero proxy or account setup — built-in anti-blocking and residential proxy routing work out of the box
📩 Sync rent comps directly to Excel or BI dashboards — connect recurring runs to Google Sheets, Airtable, BigQuery, Make, or n8n

How do I use Apartments.com Rental Scraper?

Apartments.com Rental Scraper is designed for fast, zero-configuration operation in Apify Console:

  1. Click Try for free on the Actor page to open Apify Console.
  2. Paste one or more Apartments.com city, neighborhood, or filtered search URLs into Start URLs (for example, https://www.apartments.com/chicago-il/).
  3. Set Max Results (maxItems) to control how many apartment communities to collect.
  4. Click Start to launch the extraction run.
  5. Download your apartment rental dataset from the Dataset tab in Excel, CSV, JSON, or HTML table format.

Input

Apartments.com Rental Scraper accepts a simple 2-parameter JSON configuration. Click on the Input tab for the interactive form.

{
"startUrls": [
{
"url": "https://www.apartments.com/chicago-il/"
}
],
"maxItems": 30
}

🏢 startUrls — array of Apartments.com city, neighborhood, ZIP code, or filtered search URLs (e.g., https://www.apartments.com/chicago-il/ or https://www.apartments.com/austin-tx/2-bedrooms-under-2500/)
🔢 maxItems — maximum number of apartment rental listings to collect per run (default: 30; Free plan runs collect up to 30 listings per run, while paid Apify plans support unlimited bulk runs)

Output sample

Results are streamed in real time to your default Apify Dataset. Each record represents a normalized apartment community with rent range, bedroom mix, leasing office phone number, and amenities:

[
{
"id": "apt_7819204",
"title": "The Milner on Michigan",
"address": "740 N Michigan Ave, Chicago, IL 60611",
"rent_range": "$2,350 - $4,800",
"beds": "Studio - 3 Beds",
"phone": "(312) 555-0148",
"amenities": [
"Fitness Center",
"Rooftop Deck",
"In-Unit Washer & Dryer",
"Pet Friendly"
],
"image": "https://images1.apartments.com/i2/milner-chicago-il.jpg",
"url": "https://www.apartments.com/the-milner-on-michigan-chicago-il/7819204/"
}
]

How much does it cost to scrape Apartments.com listings?

Apartments.com Rental Scraper uses Pay-Per-Event (PPE) pricing (apify-default-dataset-item) with a $0.00 startup fee—you only pay for apartment records delivered to your dataset:

🆓 Free plan — $0.005 per listing ($5.00 / 1,000 listings, up to 30 listings/run)
🥉 Starter (Bronze) plan — $0.0016 per listing ($1.60 / 1,000 listings)
🥈 Scale (Silver) plan — $0.00115 per listing ($1.15 / 1,000 listings)
🥇 Business+ (Gold) plan — $0.00085 per listing ($0.85 / 1,000 listings)

With the monthly free credit on the Apify Free plan, you can extract up to 1,000 Apartments.com rental records per month for free.

💡 Predictable, All-Inclusive Pay-Per-Event Pricing: There is a $0.00 run start fee and no separate proxy configuration required. You only pay the flat per-result rate above for data successfully delivered to your dataset — works out of the box on both Free and Paid Apify plans.

How many results can you scrape with Apartments.com Rental Scraper?

Apartments.com Rental Scraper can extract hundreds to thousands of apartment communities per run on paid Apify plans (up to 30 communities per run on the Free plan). Keep these tips in mind when scraping major rental markets:

  • Partition large cities by neighborhood or ZIP code — Apartments.com paginates search results up to 28 pages (~700 communities per search URL). To capture every apartment building across a major metro (like Chicago, Dallas, or Atlanta), pass multiple neighborhood or ZIP-code search URLs in startUrls.
  • Use Apartments.com URL slug filters — apply any bedroom (2-bedrooms), rent ceiling (under-2500), pet policy (pet-friendly-dog), or amenity filter directly on Apartments.com and paste the resulting URL into startUrls.
  • Want single-family rentals and Rent Zestimates too? — combine your multifamily community data with our Zillow Property Search Scraper to analyze single-family home and condo rentals in the same ZIP code.

Want to scrape Zillow, ForSaleByOwner.com, or Property Management Contacts?

Combine Apartments.com Rental Scraper with our published US residential and B2B lead enrichment Actors:

🏡 Zillow Search Scraper — extract US homes for sale, rentals, sold prices, Zestimates, beds/baths, and coordinates (From $0.90 / 1K)
🇺🇸 ForSaleByOwner.com US FSBO Scraper — scrape direct commission-free US homeowner property listings and seller details (From $0.75 / 1K)
📍 Google Maps Places Scraper — extract local brokerages, property managers, commercial businesses, phones, websites, and ratings (From $0.55 / 1K)
📧 Website Contact & Email Scraper — crawl brokerage and company domains for verified business emails, phone numbers, and social links (From $0.60 / 1K)

Integrations and Apartments.com Rental Scraper

Apartments.com Rental Scraper connects directly with your multifamily underwriting models, CRMs, and spreadsheets via Apify integrations:

  • No-Code Automation — trigger automated weekly rent comp updates or CRM lead imports via Make, Zapier, n8n, or Clay.
  • Spreadsheets & Warehouses — sync apartment communities, rent ranges, and leasing office phone numbers straight into Google Sheets, Airtable, HubSpot, BigQuery, or Snowflake.
  • Webhooks — send newly scraped rental records to your internal analytics pipeline via HTTP webhook as soon as a run completes.

Using Apartments.com Rental Scraper with the Apify API

You can launch multifamily search runs and fetch dataset items programmatically using the official apify-client libraries for Node.js and Python, or connect this Actor directly to AI real estate research agents via the Apify MCP Server (https://mcp.apify.com).

Check the API tab for ready-to-copy Node.js, Python, and cURL examples.

Frequently asked questions about Apartments.com Rental Scraper

📞 Does the scraper extract the leasing office phone number for each building?
Yes. Whenever an apartment community publishes a contact number on Apartments.com, it is extracted in the phone field so your team can reach the property management office directly.

🏘️ Can I filter for student housing, senior living, or townhomes?
Yes. Apply any lifestyle or property-type filter on Apartments.com in your browser (such as /student-housing/, /senior-housing/, or /townhomes/) and pass that filtered URL in startUrls.

🛡️ Do I need to configure proxies or an Apartments.com account?
No — everything works out of the box with zero setup. Regional routing, session management, and anti-blocking are handled automatically so you do not need to configure custom proxy settings.

Our scrapers are ethical and only extract publicly available apartment community information (rent ranges, floor plan summaries, amenities, and public leasing office phone numbers) displayed to renters on Apartments.com. They do not access private tenant portals or personal user data. For more details on the legality of web scraping, read Apify's guide on is web scraping legal.

Your feedback

We keep this Actor under active maintenance. If a run finishes successfully but returns fewer results than you expected, hangs, or errors — please open an Issue before posting a public review so we can diagnose and fix it for you.

🛠️ How to report — Use the Actor’s Issues tab in Apify Console. Include the run ID, your input JSON, and what you expected vs. what you got.
⏱️ Response time — We aim to reply within 24 hours on business days.
⭐ Reviews — Happy with the results? A short positive review helps other users find a reliable scraper. Ran into a problem? Open an Issue first — we’ll work with you to resolve it before you leave a rating.