Point2homes Scraper

Point2homes Scraper

by getdataforme

Automatically extract property listings, prices, and details from Point2homes. This scraper handles pagination and dynamic content for accurate, up-to-date real estate data.

277 runs
7 users
Try This Actor

Opens on Apify.com

About Point2homes Scraper

Need to pull real estate data from Point2homes without the manual hassle? I built this scraper to do exactly that. It automates the tedious work of collecting property listings, grabbing all the essential details you'd look for: price, exact location, square footage, and the count of bedrooms and bathrooms. It even notes whether a listing is active, pending, or sold, giving you a clear picture of market activity. The tool is built to handle the site's structure, automatically clicking through pages of listings so you get a complete dataset, not just the first page. It also manages any dynamic content that loads with JavaScript, which is a common headache with manual methods. This means the data you get is current and reliable, perfect for building your own database, conducting market analysis, or tracking price trends in specific neighborhoods. I use it to feed clean, structured data directly into spreadsheets or other apps, saving hours of copying and pasting.

What does this actor do?

Point2homes Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

Point2Homes Scraper

Overview

An Apify actor that extracts structured apartment listing data from Point2Homes.com. It's designed for real estate data collection, pulling details like pricing, property specs, and agent information from specific listing URLs.

Key Features

  • Extracts comprehensive property data: price, square footage, bedrooms, bathrooms, address, and year built.
  • Captures neighborhood information, Walk Score, and nearby schools.
  • Retrieves listing agency details (name, phone, website) and property descriptions.
  • Outputs structured JSON data ready for analysis or integration.
  • Includes a 2-hour free trial upon rental for testing.

Important: Using a proxy is required to avoid blocks. Run the actor without a proxy at your own risk.

How to Use

  1. Rent the actor on Apify to begin.
  2. Configure the input to include at least one Point2Homes listing URL and enable Apify Proxy.
  3. Start the actor. It will scrape the provided URLs and return the extracted data in JSON format.

Input

Configure the actor using a JSON input object. The urls array should contain one or more valid Point2Homes listing URLs.

{
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "urls": [
    "https://www.point2homes.com/US/Apartment-Buildings/CA/Pasadena/City-Place-1-0.html"
  ]
}

Output

The actor returns an array of objects, each containing the data for one scraped listing. Below is a sample of the extracted fields.

[
  {
    "title": ["City Place - apartments for rent in Playhouse District, Pasadena | Point2Homes"],
    "property_type": "Apartment",
    "price": "From $2,984 /mo",
    "bedrooms": "1-3 beds",
    "bathrooms": "1-2 baths",
    "square_footage": "681-1,265 sqft",
    "year_built": "2001",
    "street_address": "801 E. Walnut Street",
    "city": "Pasadena",
    "state": "CA",
    "zip_code": "91101",
    "neighborhood": "Playhouse District",
    "image_urls": ["https://cdngeneral.point2homes.com/...jpg", "..."] ,
    "listing_agency_name": "Greystar Real Estate Partners, LLC",
    "listing_agency_phone": "(877) 298-1557",
    "listing_agency_website": "https://www.liveatcityplace.com/...",
    "description": "Our exceptional apartment community offers desirable amenities...",
    "property_status": "Active",
    "walkscore": "92",
    "nearby_schools": ["Pasadena Montessori School", "Yattiyr ISEE Christian School", ...]
  }
]

Output Fields

  • Core Details: title, property_type, price, bedrooms, bathrooms, square_footage, year_built.
  • Location: street_address, city, state, zip_code, neighborhood.
  • Media: image_urls (array).
  • Agency Info: listing_agency_name, listing_agency_phone, listing_agency_website.
  • Descriptive: description, property_status.
  • Area Data: walkscore, nearby_schools (array).

Categories

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

Ready to Get Started?

Try Point2homes Scraper now on Apify. Free tier available with no credit card required.

Start Free Trial

Actor Information

Developer
getdataforme
Pricing
Paid
Total Runs
277
Active Users
7
Apify Platform

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