Coldwellbanker Scraper

Coldwellbanker Scraper

by getdataforme

Automatically extract Coldwell Banker property listings, including price, location, and status. Handles pagination and dynamic content for accurate real estate data.

282 runs
9 users
Try This Actor

Opens on Apify.com

About Coldwellbanker Scraper

Need to pull real estate data from Coldwell Banker without the manual headache? I built this scraper because I got tired of copying and pasting details from hundreds of listings. It automates the whole process, grabbing the key details you actually care about: property prices, exact locations, square footage, and whether a listing is active, pending, or sold. It's built to handle the tricky parts, like the site's dynamic JavaScript content and multi-page results, so you get a clean, complete dataset every time you run it. I use it myself for market analysis, and it's perfect for buyers scouting neighborhoods, investors tracking pricing trends, or agents keeping an eye on the competition. You get structured, up-to-date insights delivered as JSON or CSV, ready to drop into a spreadsheet or your own application. It saves hours of work and lets you focus on making decisions with the latest information, not on data entry.

What does this actor do?

Coldwellbanker 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

ColdwellBanker Scraper

Overview

This actor scrapes detailed property listings from Coldwell Banker. You provide listing URLs, and it returns structured data like price, address, photos, and property specs. Use Apify Proxy to avoid blocks.

Key Features

  • Extracts comprehensive property details from Coldwell Banker listing pages.
  • Returns structured JSON output with over 20 data fields.
  • Built-in proxy support via Apify Proxy to prevent IP blocking.
  • Simple configuration: just input the listing URLs.

How to Use

  1. Configure the actor's input with your target URLs and enable proxyConfiguration.
  2. Run the actor. It will fetch and parse each provided page.
  3. Retrieve the structured dataset from the actor's output.

Input Configuration

Configure the actor using the following JSON input format. The urls array is required.

{
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "urls": [
    "https://www.coldwellbanker.com/ca/chula-vista/1111-first-ave/lid-P00800000GmKobXXiclRZPZDQmlvnbHPVAxR0XCe"
  ]
}
  • proxyConfiguration: Set "useApifyProxy": true to route requests through Apify Proxy. This is recommended to avoid access issues.
  • urls: An array of one or more full Coldwell Banker property listing URLs to scrape.

Output

The actor outputs a dataset of items, one per scraped URL. Each item is a JSON object containing the scraped fields.

Output Example

[
  {
    "url": "https://www.coldwellbanker.com/ca/chula-vista/1111-first-ave/lid-P00800000GmKobXXiclRZPZDQmlvnbHPVAxR0XCe",
    "crawl_date": "2025-02-18 09:49:40",
    "source_name": "coldwellbanker",
    "title": "1111 First Avenue, Chula Vista, CA 91911 - MLS# PTP2500621 - Coldwell Banker",
    "photos": "https://images-listings.coldwellbanker.com/CAREIL/PV/25/03/34/02/_P/PV25033402_P00.jpg",
    "propertyAddress": "1278 Sonoma Court, Chula Vista, CA 91911",
    "price": "$950,000",
    "markerPrice": 950000,
    "beds": 5,
    "baths": 3,
    "squareFeet": "2,313",
    "propertyTypeValue": "Single Family",
    "standardStatus": "ACTIVE",
    "isNewConstruction": false,
    "daysOnMarket": 2,
    "isComingSoon": false,
    "lastChangeDate": "2025-02-16T13:12:06.307Z",
    "geo": {
      "neighborhoodId": "0",
      "geocodedCity": "Chula Vista",
      "latitude": 32.615214,
      "longitude": -117.041799,
      "parcelLatitude": 32.615214,
      "parcelLongitude": -117.041799,
      "directions": "From E Oneida turn onto Sonoma Court"
    }
  }
]

Key Output Fields

  • Core Details: url, title, propertyAddress, price, markerPrice.
  • Property Specs: beds, baths, squareFeet, propertyTypeValue.
  • Listing Status: standardStatus, isNewConstruction, daysOnMarket, isComingSoon, lastChangeDate.
  • Media & Metadata: photos (URL), crawl_date, source_name.
  • Geographic Data: geo object containing latitude, longitude, geocodedCity, and directions.

Support

For help, custom output requests, or bug reports, contact support@getdataforme.com.

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

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Actor Information

Developer
getdataforme
Pricing
Paid
Total Runs
282
Active Users
9
Apify Platform

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