Coldwell Banker Property Details Scraper: Extract Complete Real Estate Listing Data

Understanding Coldwell Banker and Its Premium Real Estate Data

Coldwell Banker stands as one of the oldest and most respected real estate franchises in North America, with over 115 years of history connecting buyers with premium properties. Unlike aggregator sites, Coldwell Banker listings come directly from franchise agents with exclusive access to MLS (Multiple Listing Service) data, often including properties not widely advertised elsewhere.

Individual property pages on Coldwell Banker contain far more than basic listings—they offer comprehensive details including room-by-room breakdowns, structural specifications, financial information (HOA fees, tax assessments), school district ratings, neighborhood insights, and professional photography. For real estate investors analyzing markets, appraisers researching comparable properties, or property tech platforms building databases, this granular data provides the foundation for informed decision-making.

Manually collecting property data means navigating through hundreds of listing pages, copying specifications across multiple sections, downloading images individually, and organizing fragmented information. The Coldwell Banker Property Details Scraper automates this entire workflow, transforming property URLs into structured datasets ready for analysis, portfolio management, or market intelligence.

What This Scraper Extracts and Who Should Use It

The Coldwell Banker Property Details Scraper processes individual property listing URLs—the specific pages displaying complete information about a single property. Unlike search scrapers that collect property summaries, this tool extracts comprehensive data from detailed listing pages.

Key Data Categories:

Property Information: Price, summary, detailed "about" description, canonical listing URL, and property master ID provide core listing details and unique identifiers for tracking properties across systems.

Structural Details: Room and interior specifications, address information, and structure data (square footage, lot size, year built, construction type) enable property comparison and valuation analysis.

Financial Data: Pricing information, HOA fees, tax assessments, and other financial details critical for investment analysis and buyer qualification.

Location Intelligence: Address, school district information with ratings, neighborhood data, and geographic coordinates power location-based analysis and school quality research.

Media Assets: High-resolution property photos, virtual tours, floor plans, and video links provide visual content for marketing or detailed property assessment.

MLS Integration: MLS long name, listing master ID, IDX feed attribution, and source information connect properties to official MLS databases and verify listing authenticity.

Metadata: Title and meta tags, breadcrumb navigation, disclaimer text, and attribution details provide SEO context and legal compliance information.

Status Indicators: "Is sold listing" flag, hide price settings, and listing status enable filtering active vs. historical properties and tracking market velocity.

Target Users:

Real Estate Investors build property databases for market analysis, comparable sales research, and investment opportunity identification. Appraisers and Valuers collect comparable property data for accurate valuation reports. Property Tech Platforms integrate Coldwell Banker listings into their databases with complete specifications. Market Researchers analyze pricing trends, inventory levels, and property characteristics across markets. Real Estate Agents monitor competitor listings, track market activity, and research properties for client recommendations. Academic Researchers study housing markets, neighborhood development, and real estate economics with comprehensive property datasets.

Input Configuration: Targeting Property Listing Pages

The scraper processes individual property listing URLs from Coldwell Banker. These are the detailed pages you see after clicking a specific property from search results, displaying complete property information.

Example Input Configuration:

{
  "proxy": {
    "useApifyProxy": false
  },
  "urls": [
    "https://www.coldwellbanker.com/fl/hallandale-beach/2030-s-ocean-dr-unit-1504/lid-P00800000H2hsIfW1wu4On4k5Cz5Qv53geUPxcMf"
  ]
}

Example Screenshot:

Parameter Explanation:

proxy configuration: Proxy settings to avoid bot detection. Set useApifyProxy: false for standard scraping, or enable Apify proxies if you encounter access restrictions. Coldwell Banker's anti-bot measures are typically moderate, so basic configurations often work.

urls array: Contains individual property listing page URLs.

Collecting Property URLs: Gather URLs by browsing Coldwell Banker search results manually, using a Coldwell Banker search scraper, or extracting from saved searches and email alerts. For targeted analysis, compile URLs for specific neighborhoods, price ranges, or property types.

URL Validation: Ensure URLs are property detail pages, not search results, agent profiles, or office pages. Test a few URLs manually before bulk scraping to verify they're accessible and contain expected data sections.

Pro Tip: Property URLs sometimes change when listings are updated or relisted. If scraping historical data, expect some URL failures as sold properties may be removed or archived.

Complete Output Structure: Understanding Every Data Field

The scraper returns comprehensive JSON data for each property. Understanding what each field represents ensures effective analysis and integration.

Canonical Listing URL: The official, permanent URL for the property listing. Purpose: Unique identifier, sharing listings, linking from external systems, avoiding duplicate entries when the same property appears under multiple URLs.

Price: Property listing price as displayed. Purpose: Primary filter for investment analysis, market pricing research, affordability calculations, tracking price changes over time.

Summary: Brief property overview, typically including key features like bedrooms, bathrooms, square footage, and standout amenities. Purpose: Quick property assessment, search result displays, generating property previews.

About: Detailed property description written by the listing agent, often including neighborhood context, recent upgrades, unique features, and lifestyle benefits. Purpose: Understanding property character, copywriting reference, sentiment analysis, identifying luxury indicators or distressed signals.

Room and Interior: Detailed breakdown of rooms (bedrooms, bathrooms, kitchen, living areas) with specifications, features, and measurements. Purpose: Space planning, comparing properties by functional layout, identifying value-adds like master suites or updated kitchens.

Address: Complete property address including street, city, state, ZIP code, and sometimes geographic coordinates. Purpose: Location-based filtering, mapping properties, calculating distances to points of interest, geocoding for spatial analysis.

Structure: Physical property specifications including square footage, lot size, year built, construction type, stories, parking, and architectural style. Purpose: Property valuation models, age analysis, land value calculation, identifying renovation opportunities.

Finances: Financial details such as HOA fees, property taxes, special assessments, and sometimes historical pricing. Purpose: Total cost of ownership calculations, cash flow analysis for investors, comparing carrying costs across properties.

Location and Schools: School district information including names, ratings, grades served, and distances. May include neighborhood demographics and amenities. Purpose: Family-focused property search, analyzing school quality impact on property values, education-based market segmentation.

Media: Arrays of image URLs, virtual tour links, video tours, and floor plan documents. Purpose: Visual property assessment, marketing materials, computer vision analysis (e.g., identifying pools, renovations), generating property presentations.

IDX Feed Attribution: Credits and attributions required by Internet Data Exchange (IDX) agreements between MLS and brokers. Purpose: Legal compliance, verifying data source, tracking MLS board requirements.

Listing Master ID: Unique identifier assigned by Coldwell Banker's system to each listing. Purpose: Primary key for databases, tracking properties across updates, linking to other data sources, avoiding duplicates.

Contact Form: Data about the inquiry form including agent contact information and submission endpoints. Purpose: Capturing listing agent details, understanding lead generation flows, contacting agents for additional information.

Disclaimer Attribution: Legal disclaimers about data accuracy, listing status, and representation. Purpose: Understanding data limitations, legal compliance when republishing data, identifying data freshness caveats.

Breadcrumb: Navigation path showing property location within site hierarchy (State > City > Neighborhood > Property). Purpose: Understanding geographic organization, generating SEO-friendly URLs, contextualizing property within market areas.

Title and Meta: HTML page title and meta description tags optimized for search engines. Purpose: SEO analysis, understanding how properties are marketed in search results, generating shareable content.

MLS Long Name: Full name of the MLS board providing the listing data. Purpose: Identifying data source, regional market segmentation, verifying listing authenticity, understanding MLS coverage areas.

Is Sold Listing: Boolean flag indicating whether property has sold. Purpose: Filtering active vs. historical listings, analyzing time-on-market for sold properties, tracking market velocity.

Source: Original data source, typically the MLS or Coldwell Banker franchise office. Purpose: Data provenance tracking, quality assessment, understanding listing freshness.

Cookie Info: Technical data about cookies used on the page. Purpose: Understanding site tracking, privacy compliance analysis (typically less relevant for data extraction purposes).

Listtrac Data: Analytics and tracking identifiers for Coldwell Banker's internal systems. Purpose: Linking to additional internal data sources if available, understanding listing promotion strategies.

Hide Price: Flag indicating whether price is publicly displayed or hidden (common for luxury properties or "call for price" listings). Purpose: Identifying premium/luxury segment properties, understanding pricing transparency across markets.

Property Details Display Attribution Font Size Sold / Disclaimer Font Size: UI styling information about how attribution text is displayed. Purpose: Understanding presentation requirements (typically less relevant for data analysis but necessary for compliant republishing).

Sample Output Structure:

[
  {
  "canonical_listing_url": null,
  "price": {
    "list_price": 539900,
    "original_list_price": 539900,
    "currency": "USD"
  },
  "summary": {
    "address_line1": "2030 S Ocean Dr #1504",
    "address_line3": "Hallandale Beach, FL 33009",
    "list_price": "$539,900",
    "closed_list_price": "$539,900",
    "bedrooms_total": 2,
    "bathrooms_total": 2,
    "listing_sq_ft": 1248,
    "square_feet": "1,248",
    "property_type": "Condo",
    "standard_status": "ACTIVE",
    "geogson_location": {
      "lat": 25.978299,
      "lng": -80.119323
    },
    "listing_attribution": {
      "listed_by": [
        {
          "agent_name": "Igor Shrayev"
        }
      ],
      "agent_offices": [
        {
          "office_name": "Gma Realty"
        }
      ],
      "last_updated_timestamp": "December 7, 2025, 10:54 AM",
      "mls_listing_id": "A11926412",
      "source_name": "SEFMLS",
      "display_order": {
        "list_by_desc": false,
        "offices_desc": false
      },
      "is_brand_listing": false
    },
    "is_address_hidden": false,
    "is_price_hidden": false,
    "is_sold_listing": false,
    "is_virtual_tour_available": true,
    "virtual_tour_url_unbranded": "https://www.propertypanorama.com/instaview/mia/A11926412"
  },
  "about": {
    "address_line1": "2030 S Ocean Dr #1504",
    "is_property_type_land": false,
    "description": "Beautifully renovated 2 bed 2 bath residence with full, recent interior updates. The unit features a contemporary kitchen with new cabinetry and new stainless appliances, fully remodeled bathrooms, and large-format 24x48 porcelain tile throughout. Located directly on the beach with unlimited beach access. The private balcony offers wide intracoastal, city, and sunset views. Amenities include a heated pool, hot spa, steam rooms, saunas, fitness center, billiards, BBQ area, and on-site café. The association provides complimentary pool and beach service with lounge chairs and umbrellas. Minutes to shopping, restaurants, Gulfstream Park, Aventura Mall, Hollywood Broadwalk, Hard Rock, and major airports. Move-in ready South Florida coastal living.",
    "home_facts": {
      "property_type": "Condo",
      "bathrooms_total": 2,
      "bedrooms_total": 2,
      "year_built": 1971
    },
    "price_summary": {
      "list_price": "539,900",
      "price_per_sq_ft": "$432 per Sq. Ft."
    },
    "mls_listing_id": "A11926412",
    "last_updated_timestamp": "December 7, 2025, 10:54 AM"
  },
  "room_and_interior": {
    "bedrooms": {
      "bedrooms_total": 2
    },
    "bathrooms": {
      "bathrooms_total": 2,
      "bathrooms_full": 2
    },
    "interior": {
      "living_area": "1,248"
    }
  },
  "address": {
    "postal_code": "33009",
    "state_or_province": "FL",
    "state_or_province_name": "Florida",
    "county_or_parish": "Broward",
    "city": "Hallandale Beach",
    "unparsed_address": "2030 S Ocean Dr #1504",
    "street_name": "Ocean Dr",
    "street_number": "2030",
    "street_dir_prefix": "S",
    "country": "US",
    "country_code": "US",
    "country_name": "United States"
  },
  "structure": {
    "structure_details": {
      "architecture_style": "High Rise",
      "building_area": "1,248",
      "year_built": 1971
    }
  },
  "finances": {
    "finances": {
      "list_price": "$539,900",
      "price_per_sq_ft": "$432 per Sq. Ft."
    }
  },
  "location_and_schools": {
    "neighborhood": "Hallandale Beach",
    "county": "Broward"
  },
  "media": {
    "images": [
      {
        "index_num": 0,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P00.jpg",
        "is_portrait": false
      },
      {
        "index_num": 1,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P01.jpg",
        "is_portrait": false
      },
      {
        "index_num": 2,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P02.jpg",
        "is_portrait": false
      },
      {
        "index_num": 3,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P03.jpg",
        "is_portrait": false
      },
      {
        "index_num": 4,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P04.jpg",
        "is_portrait": false
      },
      {
        "index_num": 5,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P05.jpg",
        "is_portrait": false
      },
      {
        "index_num": 6,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P06.jpg",
        "is_portrait": false
      },
      {
        "index_num": 7,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P07.jpg",
        "is_portrait": false
      },
      {
        "index_num": 8,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P08.jpg",
        "is_portrait": false
      },
      {
        "index_num": 9,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P09.jpg",
        "is_portrait": false
      },
      {
        "index_num": 10,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P10.jpg",
        "is_portrait": false
      },
      {
        "index_num": 11,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P11.jpg",
        "is_portrait": false
      },
      {
        "index_num": 12,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P12.jpg",
        "is_portrait": false
      },
      {
        "index_num": 13,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P13.jpg",
        "is_portrait": false
      },
      {
        "index_num": 14,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P14.jpg",
        "is_portrait": false
      },
      {
        "index_num": 15,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P15.jpg",
        "is_portrait": false
      },
      {
        "index_num": 16,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P16.jpg",
        "is_portrait": false
      },
      {
        "index_num": 17,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P17.jpg",
        "is_portrait": false
      },
      {
        "index_num": 18,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P18.jpg",
        "is_portrait": false
      },
      {
        "index_num": 19,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P19.jpg",
        "is_portrait": false
      },
      {
        "index_num": 20,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P20.jpg",
        "is_portrait": false
      },
      {
        "index_num": 21,
        "media_url": "https://images-listings.coldwellbanker.com/SEFMLS/A1/19/26/41/2/_P/A11926412_P21.jpg",
        "is_portrait": false
      }
    ]
  },
  "idx_feed_attribution": {
    "idx_feed_attribution_company": "Coldwell Banker Home Lovers Realty"
  },
  "listing_master_id": "P00800000H2hsIfW1wu4On4k5Cz5Qv53geUPxcMf",
  "contact_form": {
    "mls_listing_id": "A11926412",
    "postal_code": "33009",
    "address_line1": "2030 S Ocean Dr #1504"
  },
  "disclaimer_attribution": {
    "disclaimer": "Information deemed reliable but not guaranteed. Information is provided, in part, by Greater Miami MLS. This information being provided is for consumer's personal, non-commercial use and may not be used for any other purpose other than to identify prospective properties consumers may be interested in purchasing.",
    "mls_source": "SEFMLS"
  },
  "bread_crumb": {
    "state": {
      "label": "Florida",
      "id": "florida"
    },
    "city": {
      "label": "Hallandale Beach",
      "id": "P02500000GAehIpqloAwSIkdVAh89Hc4NO7D5vCJ"
    },
    "state_or_province": "FL"
  },
  "title_and_meta": {
    "city": "Hallandale Beach",
    "state": "FL",
    "postal_code": "33009",
    "mls_listing_id": "A11926412",
    "address": "2030 S Ocean Dr #1504"
  },
  "mls_long_name": "REALTOR® Association Of Miami",
  "is_sold_listing": false,
  "source": "SEFMLS",
  "cookie_info": {
    "state_code": "FL",
    "state": "Florida",
    "postal_code": "33009",
    "county": "Broward",
    "entity_type": "city",
    "place_master_id": "P02500000GAehIpqloAwSIkdVAh89Hc4NO7D5vCJ",
    "place_display_name": "Hallandale Beach",
    "city": "Hallandale Beach"
  },
  "listtrac_data": {
    "brand_code": "CBR",
    "mls": "A11926412",
    "zip": "33009",
    "status": "ACTIVE",
    "agent_id": "no agent id"
  },
  "hide_price": false,
  "prop_details_display_attribution_font_size_sold": false,
  "prop_details_display_disclaimer_font_size": false
}
]

Step-by-Step Implementation Guide

1. Identify Target Properties: Determine which properties you need—specific neighborhoods, price ranges, property types, or markets. Browse Coldwell Banker to understand available inventory and verify your target properties are listed there.

2. Collect Property URLs: Manually copy URLs from Coldwell Banker search results, use a search page scraper to gather URLs systematically, or extract URLs from saved searches and email alerts. Organize URLs in a spreadsheet or text file.

3. Configure Input JSON: Create your input configuration with the collected URLs. For initial testing, start with 5-10 URLs to verify output quality. For production runs, include hundreds or thousands of URLs.

4. Set Proxy Settings: Start with useApifyProxy: false for testing. If you encounter rate limiting or blocks, enable Apify proxies with residential proxy groups for better reliability.

5. Launch Scraping Run: Execute via Apify console and monitor real-time progress. Processing 50 property URLs typically completes in 3-5 minutes, though timing varies with page complexity and image loading.

6. Validate Data Quality: Review dataset preview to ensure critical fields are populated—price, address, bedrooms/bathrooms, and media. Check that school information and financial details are captured where available.

7. Handle Missing Data: Some fields may be empty for certain properties (e.g., condos don't have lot sizes, some listings hide prices). Implement null-handling in your downstream analysis.

8. Export and Integrate: Export in your preferred format—JSON for database integration, CSV for spreadsheet analysis. Clean data by standardizing formats (e.g., converting price strings to numbers).

Error Handling: URLs for sold properties may redirect or fail if listings are removed. The is_sold_listing flag helps identify properties to exclude from active inventory analysis. Activity logs provide detailed error information for troubleshooting.

Scaling Best Practices: For large datasets (500+ properties), split into multiple runs of 250 URLs each to improve reliability. Use incremental scraping—collect new listings weekly rather than re-scraping entire markets.

Strategic Applications for Real Estate Intelligence

Investment Opportunity Identification: Filter properties by price per square foot, cap rate estimates (using rental comps), and financial metrics to identify undervalued properties. Track days on market from activation dates to find motivated sellers.

Market Analysis and Trends: Aggregate data across neighborhoods or cities to analyze median prices, inventory levels, and property characteristics. Track pricing trends by scraping same markets weekly and comparing price changes.

Comparable Sales Research: Build databases of recently sold properties (using is_sold_listing flag) with complete specifications for appraisal comps. Match properties by square footage, bedrooms, location, and age for accurate valuations.

School District Impact Analysis: Correlate school ratings with property prices to quantify education quality's impact on real estate values. Identify neighborhoods where school improvements may drive future appreciation.

Lead Generation for Agents: Extract contact form data to identify listing agents for networking, referrals, or recruitment. Analyze which agents dominate certain markets or property types.

Portfolio Management: Real estate investors managing multiple properties can track comparable listings to benchmark their portfolio values and identify exit opportunities when similar properties sell at premium prices.

Content Creation: Media URLs provide professional photography for creating marketing materials, social media content, or property comparison presentations. Floor plans enable space planning analysis.

Geographic Market Mapping: Use address coordinates to map property distributions, identify clustering patterns, and visualize price gradients across neighborhoods. Combine with demographic data for comprehensive market profiles.

Maximizing Data Value: Advanced Techniques

Time-Series Price Tracking: Scrape same property URLs weekly to track price changes, price reductions, and time on market. Properties with multiple reductions signal motivated sellers or overpricing.

Financial Analysis Automation: Calculate total cost of ownership by combining price, HOA fees, and property taxes. Estimate cash flow for investment properties by comparing to rental comps from other sources.

School Rating Arbitrage: Identify properties near school district boundaries where moving one block changes school access. These boundary properties may offer value opportunities.

Media Quality Assessment: Analyze photo counts and presence of virtual tours as indicators of listing quality and agent marketing sophistication. Well-marketed properties often sell faster.

MLS Coverage Analysis: Group properties by mls_long_name to understand which MLS boards Coldwell Banker covers in your target markets. Identify gaps requiring additional data sources.

Sentiment Analysis on Descriptions: Apply natural language processing to "about" descriptions to identify luxury indicators ("pristine," "meticulously maintained") vs. distressed signals ("needs TLC," "investor special").

Neighborhood Segmentation: Use breadcrumb navigation to group properties by neighborhood hierarchies. Analyze price distributions and characteristics across micro-markets within cities.

Attribution Compliance Systems: Store idx_feed_attribution and disclaimer_attribution text to ensure any republished data includes required legal disclaimers, maintaining compliance with MLS agreements.

Data Governance and Best Practices

Respect Legal Requirements: MLS data comes with strict usage terms. Never republish data without proper IDX agreements. Use scraped data for internal analysis, investment decisions, or with appropriate legal permissions.

Update Frequency: Real estate markets move daily. Scrape active markets weekly to capture new listings, price changes, and status updates. Monthly scraping suffices for slower markets or historical analysis.

Archive Sold Properties: Don't delete sold property data—it's valuable for comparable sales analysis. Maintain separate active and historical databases, linked by listing_master_id.

Data Enrichment: Combine Coldwell Banker data with county assessor records for official tax information, Zillow/Redfin for additional comps, crime statistics for neighborhood safety analysis, and census data for demographics.

Quality Assurance Checks: Validate that prices are reasonable (flag outliers), addresses are complete, and critical fields like bedrooms/bathrooms are populated. Implement automated anomaly detection.

Geographic Standardization: Normalize address formats, geocode properties for mapping, and standardize state abbreviations to ensure consistent geographic analysis.

Privacy Considerations: While listing agent contact information is public, use it responsibly. Don't spam agents or use data for purposes beyond legitimate real estate activities.

Storage Strategy: Property data can be large (especially with multiple image URLs). Optimize storage by hosting images separately if needed, or store only thumbnail URLs rather than full-resolution images.

Conclusion

The Coldwell Banker Property Details Scraper transforms one of America's most trusted real estate platforms into actionable intelligence. From investment analysis and market research to appraisal work and portfolio management, comprehensive property data powers better decisions in real estate. Whether you're analyzing single properties or building market-wide datasets, this tool delivers the granular details that drive competitive advantage. Start extracting premium real estate insights today.