Realtor.com Scraper

This project helps you collect structured real estate data from Realtor.com without the usual manual digging. It pulls detailed property information, pricing, images, local insights, and more. If you need reliable Realtor data in bulk, this scraper keeps things simple and consistent.

     

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Introduction

This scraper automates the process of gathering rich property details from Realtor.com. It’s built for developers, analysts, and real estate professionals who want dependable, structured data without wrestling with inconsistent page layouts or heavy manual work.

How It Fits Into Your Workflow

• Pulls property details, features, photos, pricing, and history.
• Works with for-sale, sold, and rental listings.
• Accepts search keywords, filters, and direct property URLs.
• Handles pagination, limits, and smart URL detection.
• Delivers uniform, ready-to-use JSON for any integration.

Features

Feature	Description
Property Details Extraction	Captures beds, baths, size, year built, features, and structural attributes.
Multi-Mode Scraping	Supports BUY, RENT, and SOLD property types for targeted crawling.
Search & URL Input	Works with keywords, filtered search URLs, and direct listing URLs.
Pagination & Limits	Lets you define page ranges and max items for predictable output.
Images & Media	Retrieves property photos, floorplans, and unit-level visuals.
Local Insights	Pulls flood data, wildfire risk, noise profiles, and neighborhood context.
School Information	Gathers nearby school details with ratings, grades, and distances.
History & Tax Data	Includes event history, pricing changes, and annual tax assessments.

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What Data This Scraper Extracts

Field Name	Field Description
url	Full URL of the property listing.
status	Listing category such as sold, buy, rent.
id	Internal unique property identifier.
soldOn	Date the property was last sold.
listPrice	Current listing price.
beds	Number of bedrooms.
baths	Total number of bathrooms.
sqft	Property interior square footage.
year_built	Original build year of the property.
photos	Array of image URLs for the listing.
coordinates	Latitude and longitude of the property.
address	Street, locality, region, and postal code.
nearbySchools	List of local schools with ratings, grades, and distances.
local	Flood, noise, and wildfire risk information.
history	Sale and listing history with pricing and source.
taxHistory	Historical tax assessment and market valuation.
floorplans	Unit-level floorplan details, pricing, and availability.

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Example Output

[
  {
    "url": "https://www.realtor.com/realestateandhomes-detail/4368-Seville-St_Las-Vegas_NV_89121_M14226-64517",
    "status": "sold",
    "id": "1422664517",
    "soldOn": "2022-06-08",
    "lastSoldPrice": 485000,
    "baths": 3,
    "beds": 4,
    "sqft": 2752,
    "year_built": 1975,
    "coordinates": {
        "latitude": 36.110005,
        "longitude": -115.077626
    },
    "address": {
        "street": "4368 Seville St",
        "locality": "Las Vegas",
        "region": "NV",
        "postalCode": "89121"
    }
  }
]

---

Directory Structure Tree

Realtor.com Scraper/
├── src/
│   ├── runner.js
│   ├── extractors/
│   │   ├── property_parser.js
│   │   ├── school_parser.js
│   │   └── risk_parser.js
│   ├── outputs/
│   │   └── exporters.js
│   └── config/
│       └── settings.example.json
├── data/
│   ├── inputs.sample.json
│   └── sample_output.json
├── package.json
├── requirements.txt
└── README.md

---

Use Cases

• Real estate analysts use it to collect comparable property data so they can generate accurate market insights.
• Data scientists integrate its structured output into valuation or prediction models to improve accuracy.
• Investors track neighborhood trends and property history so they can make better buying decisions.
• Marketing teams gather property sets with photos and features so they can populate portals or listings.
• Automation engineers plug the scraper into workflows to keep databases updated without manual intervention.

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FAQs

Does this scraper support all property types? Yes, it handles for-sale, rental, and sold listings using either keywords or URLs.

Can I limit how many listings are scraped? You can set maxItems to cap the total results or use endPage to define page ranges.

Do I need proxies? A proxy configuration is required to maintain stable, uninterrupted access while scraping.

Can I extract floorplans? Yes, enabling includeFloorplans returns unit-level details with pricing and availability.

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Performance Benchmarks and Results

Primary Metric: On average, the scraper processes about 50 detailed listings every 2 minutes with prioritization of property detail pages.

Reliability Metric: Runs typically complete with a high success rate, even across large search result sets or filtered queries.

Efficiency Metric: Resource usage remains low, handling thousands of pages with minimal overhead when pagination and limits are set.

Quality Metric: Data completeness remains strong due to structured extraction of photos, pricing, schools, and local risk metrics.

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