🏡 Realtor Rental Insights

Unlock real-time rental market intelligence with HomeHarvester — a high-performance scraper built to extract structured rental data directly from Realtor.com.
Designed for real estate professionals, investors, and market analysts, it helps you gather, analyze, and visualize property listings across multiple U.S. cities in seconds.

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🚀 Overview

HomeHarvester is an advanced data extraction actor that connects to Realtor.com’s public property listings to deliver clean, structured rental data.
It supports multi-location scraping, advanced filtering, and pagination control, ensuring you capture every relevant property that fits your research or business criteria.

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✨ Key Features

• ⚡ Blazing Fast Scraping — Parallel processing for multiple cities and states
• 🎯 Advanced Query Filters — Target by property type, rent specials, or pet policies
• 🌎 Multi-Region Support — Collect listings from multiple U.S. regions in a single run
• 🖼️ Media-Rich Output — Extract photos, 3D virtual tours, and other media assets
• 📦 Structured JSON Output — Developer-friendly data ready for analysis or integration
• 🔄 Pagination Support — Retrieve listings across hundreds of pages automatically
• 🧠 Smart Sorting Options — Sort by lowest price, newest listings, or highest price

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🧩 Ideal Use Cases

• Real Estate Analysts — Track pricing and availability across states
• Property Managers — Benchmark competitor listings and rent trends
• Investors — Identify high-yield rental opportunities
• Data Scientists — Feed structured data into ML or BI systems
• Market Researchers — Gather insights for market forecasting and reports

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🗂️ Data You’ll Get

Each property record from Realtor.com includes:

📍 Location Details

• Full address (street, city, state, ZIP)
• County name and geographic coordinates (latitude, longitude)

🏘️ Property Info

• Property ID and Listing ID
• Property name and type (apartment, condo, townhome, single-family)
• Bedrooms, bathrooms, square footage
• Price range and rent specials

💰 Pricing & Availability

• Current rent or rent range
• Price reduction status
• Move-in date or availability

🐾 Features & Policies

• Pet policy (dogs, cats, restrictions)
• Key amenities and building highlights
• Application eligibility

🖼️ Media

• Primary image URL
• Up to 3 additional images
• Virtual or Matterport 3D tour link

🏢 Management

• Property manager or advertiser info
• Contact details and listing source

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⚙️ Input Configuration

You can customize scraping parameters via JSON input.

Basic Example

{
  "locations": ["Miami", "Orlando"],
  "property_type": "apartment",
  "page_count": 2
}

Advanced Example

{
  "locations": ["California", "Texas", "Florida"],
  "property_type": "single family",
  "sort_by": "lowest price",
  "page_count": 5,
  "pet_friendly": true,
  "rent_specials": true
}

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🧠 Input Parameters

Parameter	Type	Required	Description	Example
locations	Array	✅ Yes	List of cities or states to scrape	["Austin", "Denver"]
property_type	String	No	Type of property	apartment, condo, single family
sort_by	String	No	Sort order	highest price, lowest price, newest
page_count	Integer	No	Number of pages to scrape (max 100)	10
pet_friendly	Boolean	No	Include pet-friendly listings	true
rent_specials	Boolean	No	Include rent-special offers	true
apply_now	Boolean	No	Show listings with online applications	true

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🧾 Output Format

HomeHarvester outputs clean JSON data, ideal for databases, dashboards, or analytical workflows.

{
  "property_id": "9816250601",
  "listing_id": "2977153881",
  "property_type": "apartment",
  "price_min": 1070,
  "price_max": 1350,
  "address": "121 NW 7th Ave, Miami, FL 33128",
  "coordinates": {"lat": 25.7749, "lon": -80.2059},
  "photos": ["https://...", "https://..."],
  "pet_policy": {"cats": true, "dogs": false},
  "amenities": ["gym", "pool", "parking"],
  "available_date": "2025-01-03",
  "search_location": "Miami"
}

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💡 Best Practices

1. Start with 1–2 cities to test configuration.
2. Use specific city names for more accurate results.
3. Combine filters like pet_friendly + rent_specials for better targeting.
4. Larger page counts increase runtime — use wisely.
5. Export data as JSON, CSV, or Excel for easy analysis.

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🧠 Example Use Cases

Market Analysis

Compare average rents across major U.S. cities for 2-bedroom apartments.

Property Benchmarking

Monitor pricing changes among similar listings weekly.

Investment Insights

Identify undervalued properties and analyze rent-to-price ratios.

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📈 Performance

• Speed: Concurrent scraping for multiple regions
• Scalability: 100+ pages per location supported
• Accuracy: Real-time data from Realtor.com
• Quality: Duplicate-free, structured JSON

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🛡️ Data Reliability

• ✅ Verified from Realtor.com listings
• ✅ Real-time property information
• ✅ Structured and deduplicated records
• ✅ Supports nationwide U.S. coverage

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🧭 Why HomeHarvester?

Feature	Description
⚡ High-Speed Extraction	Asynchronous scraping for faster results
🧠 Smart Filtering	Powerful query control for precision
🧩 Developer Friendly	Simple input → structured JSON output
🌎 Scalable	Scrape multiple states or regions seamlessly
💾 Flexible Export	JSON, CSV, or database ingestion ready

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