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Apartments Com Scraper

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Apartments.com Scraper - Extracts and processes data efficiently on the Apify platform.

Pricing

from $10.00 / 1,000 results

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0.0

(0)

Developer

Donny

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Apartments.com Scraper | Apify Actor API through CLI

The Apify CLI is the official tool that allows you to use Apartments Com Scraper locally, providing convenience functions and automatic retries on errors.

Install Apify CLI

Using installation script (macOS/Linux):

$curl -fsSL https://apify.com/install-cli.sh | bash

Using installation script (Windows):

$irm https://apify.com/install-cli.ps1 | iex

Using Homebrew:

$brew install apify-cli

Using npm:

$npm install -g apify-cli

Other API clients include:

Apartments Com Scraper API in Python

Apartments Com Scraper API in JavaScript

Apartments Com Scraper OpenAPI definition

Apartments Com Scraper API

Apartments.com Scraper 🏡

epctex/apartments-scraper

Scrape Apartments.com to crawl millions of real estate properties nationwide. Specify any US location and extract data on all available properties in that area. Our real estate scraper lets you filter and limit the results by page or total number. You can also target a specific property or area.

epctex

955

5.0

(12)

Apartments.com Scraper

arlusm/apartments-scraper

A custom-built, no-nonsense, apartments com scraper that does the job faster than a cat on a hot tin roof. While them other scrapers are out there fumblin’ around, breaking after a website update, or taking days just to load half a page, this one’s workin’ like a tractor on turbo.

Aluslabs

Apartments.com Scraper 🏢

powerful_bachelor/apartments-com-scraper

🏢 Apartments Scraper Actor is a robust tool for extracting detailed apartment listings from specified URLs. Ideal for real estate research, it provides comprehensive data including pricing, amenities, and contact details, helping users make informed decisions with structured JSON outputs. 📊🔍

Powerful Bachelor

Advanced Apartments.com Scraper

saswave/advanced-apartments-com-scraper

$1 / 1000 results, no proxies needed. Helps you research your local apartments in US and Canada. Advanced web scraper to extract data on website apartments.com Collect information at scale on city, name, email, phonenumber, floor plans, amenities, nearby transport, educations, schools and more

SASWAVE

5.0

(1)

Apartments.com Scraper

agenscrape/apartments-com-scraper

Scrape rental property listings from Apartments.com. Extract prices, addresses, bedrooms, images and direct URLs. Supports any search URL with filters. Auto-pagination included.

Agenscrape

Apartments.com Scraper

datascoutapi/apartments-com-scraper

Scrape millions of active U.S. & Canada rental listings from Apartments.com & ApartmentList.com – any city, state, province, ZIP, or neighborhood. Full details: pricing, photos, amenities, exact coordinates, contact info. Blazing-fast, anti-block, full North America coverage.

halam

Apartments.com Scraper

parseforge/apartments-com-scraper

Extracts rental apartment listings from Apartments.com, capturing property details, prices, amenities, contact information, and location data. Supports filtering by location, bedrooms, price range, and property type for housing research, competitive analysis, and market monitoring workflows.

ParseForge

5.0

(1)

Apartments Com Scraper

consummate_mandala/apartments-com-scraper

Apartments Com Scraper. Extract structured data with automatic pagination, proxy rotation, and JSON/CSV export. Pay only for results.

Donny Nguyen

Apartments.com | $1 / 1k | With Numbers

fatihtahta/apartments-com-scraper

Get rental listings from Apartments.com including prices, addresses, amenities and more. Ideal for real estate leads, price tracking or housing research. Fast, structured, reliable. $1 / 1k listings.

Fatih Tahta

5.0

(2)

Scrape Apartments Dot Com — Prices, Details & Photos

tropical_quince/apartments-dot-com-scraper

Scrape apartments dot com data at scale with this powerful Apify actor. Extracts prices, details & photos with automatic pagination and proxy rotation. Perfect for market research, competitive intelligence, and data-driven decision making.