Realtracs Discovery Parser Spider

Introduction

The Realtracs Discovery Parser Spider is designed to efficiently scrape real estate listings from Realtracs, providing comprehensive data for market analysis, competitive intelligence, and more. This Actor extracts detailed property information, ensuring high-quality data for your business needs.

Features

• Comprehensive Data Extraction: Captures detailed property information including price, location, and listing status.
• High Data Quality: Ensures accuracy and reliability in the extracted data.
• Efficient Performance: Optimized for fast and reliable scraping operations.
• Customizable Inputs: Easily configure URLs to target specific listings.
• Scalable Solution: Handles multiple URLs and large datasets seamlessly.
• User-Friendly Interface: Simple setup and execution process.
• Versatile Output Formats: Export data in JSON, CSV, or Excel formats.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	Array	No	The URLs for the spider to scrape.	["https://www.realtracs.com/listings/search?..."]

Example Usage

Example Input JSON

{
  "Urls": [
    "https://www.realtracs.com/listings/search?listingStatuses=1;7;8&propertyClasses=Residential&auction=1&openHouse=0&primaryBedOnMain=0&postalCities=b99e95cb-95e6-4841-b8aa-0858b652df59:Richmond%20Hill,%20GA&sort=defaultAsc&view=Grid&sch=3wsfz8"
  ]
}

Example Output JSON

[
  {
    "listing_id": 6729127,
    "mls_number": "10700071",
    "address": "705 Ferguson Lane",
    "address_line2": "Richmond Hill, GA 31324",
    "latitude": 31.914412,
    "longitude": -81.304123,
    "price": null,
    "list_price": 274800,
    "beds": 3,
    "baths": 2,
    "half_baths": 1,
    "area_sqft": 1560,
    "listing_status": 1,
    "property_sub_type": "TOWNH",
    "days_on_market": 55,
    "url": "https://www.realtracs.com/listings/6729127",
    "images": [
      "https://www.realtracs.com/listings/6729127/photos/primary-photo?signature=eUBEiIhBO2feL8c_2G8xKfenoB5bODnB6ek!!Ndyc3JwX&highRes=false"
    ],
    "actor_id": "R5dw22M0PnMyu2Z7j",
    "run_id": "GcPochZ7IKd4IZaVQ"
  }
]

Use Cases

• Market Research and Analysis: Gather data for real estate market trends.
• Competitive Intelligence: Monitor competitor listings and pricing strategies.
• Price Monitoring: Track changes in property prices over time.
• Content Aggregation: Compile listings for real estate platforms.
• Academic Research: Analyze real estate data for scholarly studies.
• Business Automation: Integrate data extraction into business workflows.

Installation and Usage

1. Search for "Realtracs Discovery Parser Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The output data is structured in JSON format, containing fields such as listing_id, mls_number, address, latitude, longitude, list_price, beds, baths, area_sqft, listing_status, and images. Each field provides specific information about the property listing.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!