LAGIC
Lead Audience Growth Intelligence Computing
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Apartments Scraper API 🏑 - No platform costs, No Proxies β€” Apartments.com | Lagic

Built For

Extract detailed rental listing data from Apartments.com for market analysis and lead generation.

Curated by LagicΒ·Verified working

Configure Agent

URLs to start with. Can be listing or property detail URLs

Search query to use for the search. Can be a city, state, or zip code.

Include reviews for each property. Additional cost applies.

Include images and virtual tours for each property. Additional cost applies.

Include interior amenities for each property. Additional cost applies.

Include walk score for each property. Additional cost applies.

Maximum number of items that you want as output.

Results to deliver

800 credits

This agent actively searches live listings β€” results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

8 credits per result
βœ“ 30 free credits on signupβœ“ Refund if 0 resultsβœ“ No card required

Sample Data Preview

Property Name, Full Address, and Geo-coordinatesContact Information (Name, Phone, Property Website)Minimum and Maximum Rent PricesFloor Plan Models with Pricing, Square Footage, and AvailabilityIndividual Rental Unit Details (Unit Number, Rent, Deposit, Availability Date)Bed and Bath Counts
Sample Text...Sample Text...$19.99Value...10093411
Sample Text...Sample Text...$19.99Value...10090179
..................
Exports as:CSVXLSXJSON

Overview

Scrape Apartments.com by city, zip code, or specific URLs to get property details, pricing, floor plans, amenities, and resident reviews. Ideal for real estate investors and market analysts.

This tool pulls comprehensive data directly from Apartments.com, the leading online rental marketplace. It's designed for real estate investors, property managers, and market analysts who need to understand rental markets without manual data entry. You can start with a broad search, like a city or zip code, or provide a list of specific property URLs to get details on a targeted set of listings. The extractor returns a structured dataset covering everything from the basicsβ€”like property name, address, and contact informationβ€”to the granular details of individual units. This includes pricing for different floor plans, bed/bath counts, square footage, and current availability. You can also see building-wide amenities, fee structures, and information on nearby schools and transportation options. For deeper analysis, you can choose to include optional data points for an additional cost. These add-ons let you pull all resident reviews, property photos, virtual tours, detailed interior amenities for each unit, and the property's Walk Score. This flexibility allows you to tailor the data extraction to your specific research needs and budget, whether you're doing a quick competitive overview or an in-depth analysis of a potential investment.

Key Capabilities

  • βœ“ Property Name, Full Address, and Geo-coordinates
  • βœ“ Contact Information (Name, Phone, Property Website)
  • βœ“ Minimum and Maximum Rent Prices
  • βœ“ Floor Plan Models with Pricing, Square Footage, and Availability
  • βœ“ Individual Rental Unit Details (Unit Number, Rent, Deposit, Availability Date)
  • βœ“ Bed and Bath Counts
  • βœ“ Building-wide Amenities and Fee Policies
  • βœ“ Nearby Public and Private School Information
  • βœ“ Local Transportation and Points of Interest
  • βœ“ Property Photos and Virtual Tours (Optional)
  • βœ“ Interior Unit Amenities (Optional)
  • βœ“ Resident Reviews and Ratings (Optional)
  • βœ“ Walk Score and Transit Score (Optional)
  • βœ“ Real estate investors can analyze rental prices, vacancy rates, and popular amenities in a target city before making an acquisition.
  • βœ“ Property managers can benchmark their listings against local competitors to optimize pricing, specials, and amenity packages.
  • βœ“ Market research firms can build a historical dataset of rental listings to model pricing trends and forecast market changes.
  • βœ“ A developer can assess the existing supply of 2-bedroom apartments in a specific zip code to validate demand for a new building project.
  • βœ“ Marketing agencies for property groups can identify competing properties and their marketing angles to create more effective campaigns.
  • βœ“ Relocation services can generate detailed reports of available housing options for clients moving to a new area.

Field Dictionary

How To Run This Extractor

1

Provide a search query like a city, state, or zip code in the 'Search' field.

2

Alternatively, paste one or more specific Apartments.com listing URLs into the 'Start URLs' field.

3

Set the maximum number of listings you want to retrieve.

4

Check the boxes for any optional data you need, such as reviews, images, or Walk Score.

5

Run the tool to start the extraction process.

6

Download your data as a spreadsheet or JSON file.

Frequently Asked Questions

Do I need to know how to code?
No, this tool can be configured and run without any programming knowledge. You just need to provide a search term or a list of URLs.
What format will the data be in?
Is it legal to scrape data from Apartments.com?
How many listings can I scrape at once?
Can I use this data for my clients?
What's the difference between this and other web scrapers?
How fresh is the data?
Can I schedule this tool to run automatically?
Why do images, reviews, and some amenities cost extra?
What's the difference between 'models' and 'rentals' in the output?
Can I scrape an entire city?