ForRent Property Search Scraper: Extract Rental Listings & Market Data

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What Is ForRent.com?

ForRent.com is one of the largest online rental property marketplaces in the United States, hosting millions of apartment, house, and multi-family listings. Property managers, landlords, and real estate agents use it to market rentals, while tenants browse available units across all major metropolitan areas. The platform provides rich multimedia content, customer reviews, and detailed property information — but extracting and analyzing this data manually is labor-intensive.

The ForRent Property Search Scraper automates this process, collecting structured property records directly from search results pages.

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Overview

The ForRent Property Search Scraper extracts comprehensive property listing data from ForRent.com search results, transforming unstructured web content into clean, machine-readable records. It is ideal for:

• Real estate investors tracking rental market trends and competitor pricing
• Market researchers analyzing rental availability by region and property type
• Property aggregators powering rental search engines and APIs
• Data analysts building datasets for affordability and housing studies
• Property managers monitoring listings and market positioning

Key features include bulk URL support for batch scraping, configurable item limits, fault tolerance for failed URLs, and comprehensive output spanning 30+ data fields per listing.

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Input Format

The scraper accepts a JSON configuration object specifying which pages to scrape:

{
  "urls": [
    "https://www.forrent.com/find/tx/texas-city/page-2"
  ],
  "max_items_per_url": 200,
  "ignore_url_failures": true
}

Field	Type	Description
urls	Array	List of ForRent search result page URLs to scrape (e.g., city/state/page filters)
max_items_per_url	Integer	Maximum number of property listings to extract per URL (default: 100, max: 200)
ignore_url_failures	Boolean	If true, the scraper continues running if some URLs fail; if false, stops on first error

Example URLs:

• https://www.forrent.com/find/tx/texas-city/page-1 — Texas City, Texas listings
• https://www.forrent.com/find/ca/los-angeles/page-2 — Los Angeles, California listings

Tip: You can paste multiple URLs covering different cities, states, or price ranges to build comprehensive regional datasets.

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Output Format

Sample output

{
  "is_profile": false,
  "site_id": "7rxz9wx",
  "listing_key": "7rxz9wx",
  "ad_level": "Premier",
  "name": "36 18th Ave N, Texas City, TX 77590",
  "geography": {
    "street_address": "36 18th Ave N",
    "city_name": "Texas City",
    "state_code": "TX",
    "zip_code": "77590",
    "latitude": 29.4024233,
    "longitude": -94.895175
  },
  "blended_rating": null,
  "last_updated": "2026-07-23T10:08:15.713Z",
  "leads": {
    "email": {
      "required": [],
      "optional": [],
      "is_on_demand": true
    },
    "phone": {
      "formatted": "(832) 280-1696",
      "url": "tel:+18322801696"
    }
  },
  "floor_plan_summary": {
    "square_feet": {
      "low": 1500,
      "high": 1500,
      "formatted": "1,500 sq. ft."
    },
    "bathrooms": {
      "low": 2,
      "high": 2,
      "formatted": "2 Baths"
    },
    "matching": {
      "beds": {
        "low": 4,
        "high": 4,
        "range": "4",
        "formatted": "4 Beds"
      },
      "price": {
        "low": 1850,
        "high": 1850,
        "formatted": "$1,850",
        "call_for_price": false,
        "base_rent_formatted": "$1,850"
      }
    },
    "grouped_pricings": [
      {
        "beds": "4 Beds",
        "price": "$1,850"
      }
    ],
    "has_per_bed_pricing": false
  },
  "media": {
    "main_photo": {
      "source": "https://images1.forrent.com/i2/VrzMnC6PmeNfks8PNiL2nBAfvNsgrzJii2OQe1y_j_Q/{options}/image.jpg",
      "caption": "Building Photo",
      "is_landscape": true
    },
    "image_options": {
      "1880x900": 112,
      "180x140": 104,
      "1400x720": 113,
      "2048x2048": 116,
      "200x_v": 119,
      "430x220": 118,
      "1024x1024": 114,
      "984x658": 102,
      "325x_v": 115,
      "984x558": 110,
      "337x206": 106,
      "1240x844": 111,
      "215x110": 105,
      "650x_v": 117
    },
    "images": [
      {
        "source": "https://images1.forrent.com/i2/VrzMnC6PmeNfks8PNiL2nBAfvNsgrzJii2OQe1y_j_Q/{options}/image.jpg",
        "caption": "Building Photo",
        "is_landscape": true
      }
    ]
  },
  "has_video": false,
  "has_tours": false,
  "image_count": 20,
  "profile_url": "/tx/texas-city/36-18th-ave-n/7rxz9wx",
  "seo_name": "36 18th Ave N",
  "rating_stars": null,
  "property_type": "Condo",
  "property_type_text": "Condo for Rent",
  "site_texts": {},
  "pmc_info": null,
  "is_homes_listing": false,
  "is_multi_family": null,
  "is_monthly_fees_included_in_rent": false,
  "is_in_fee_disclosure_state": false,
  "is_direct_broker": true,
  "property_fee_list": [
    {
      "label": "Base Rent",
      "value": "$1,850"
    },
    {
      "label": "Required Monthly Fees",
      "value": "None"
    }
  ],
  "from_url": "https://www.forrent.com/find/tx/texas-city/page-2"
}

Each scraped property listing returns a detailed record with 30+ fields:

Listing Identification

Field	Meaning
site_id	Unique ForRent.com property identifier
listing_key	Internal listing key for database integration
is_profile	Whether the listing is a property profile (vs. individual unit)
is_homes_listing	Flag indicating if this is a single-family home
is_multi_family	Flag for multi-family property (apartment complex, duplex, etc.)

Property Information

Field	Meaning
name	Official property name or street address
seo_name	Search-engine-optimized version of property name
property_type	Numeric property type code (apartment, house, condo, etc.)
property_type_text	Human-readable property type (e.g., "Apartment", "House")
geography	Geographic details including city, state, ZIP code, and coordinates

Ratings & Reviews

Field	Meaning
blended_rating	Aggregate rating score from tenant reviews
rating_stars	Number of stars displayed (e.g., 4.5 out of 5)
leads	Number of inquiries or leads generated by the listing

Media & Visual Content

Field	Meaning
media	Array of media objects (images, videos, tours)
has_video	Boolean flag: property has video walkthrough
has_tours	Boolean flag: property has virtual 3D or video tours
image_count	Total number of photos uploaded

Example media output:

{
  "has_video": true,
  "has_tours": true,
  "image_count": 24
}

This indicates the property has promotional video, virtual tours, and 24 photos for browsing.

Pricing & Fees

Field	Meaning
floor_plan_summary	Summary of available unit types and pricing (studios, 1BR, 2BR, etc.)
is_monthly_fees_included_in_rent	Whether advertised rent includes HOA/maintenance fees
is_in_fee_disclosure_state	Whether the property is in a state requiring fee transparency
property_fee_list	Detailed breakdown of fees (utilities, parking, pet fees, etc.)

Management & Broker

Field	Meaning
pmc_info	Property management company details
is_direct_broker	Whether property is managed by the owner directly (vs. third-party broker)

Metadata

Field	Meaning
ad_level	Promotion level of the listing (free, standard, premium, VIP, etc.)
profile_url	Direct URL to the property's profile page on ForRent.com
last_updated	Timestamp when the listing was last modified
site_texts	Text blocks (descriptions, amenities, lease terms)

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How to Use

1. Identify search pages — Visit ForRent.com and search by city, state, price range, or other filters. Note the result page URLs.
2. Prepare URLs — Copy search result URLs into the urls array. You can add multiple pages or regions in a single run.
3. Set limits — Adjust max_items_per_url based on your needs (e.g., 50 for quick sampling, 200 for full dataset).
4. Enable fault tolerance — Set ignore_url_failures: true for large batch runs to prevent interruption if one URL fails.
5. Start the scraper — Trigger the actor and monitor progress in the log.
6. Export data — Download results as JSON, CSV, or Excel for analysis, CRM import, or database loading.

Common use cases:

• Bulk rent analysis: Scrape 5-10 city pages to build a regional pricing database.
• Competitive intelligence: Monitor competitor property listings and review ratings.
• Market snapshots: Capture available inventory on a specific date for trend analysis.

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Use Cases & Business Value

• Real estate analytics: Build rental price indexes by city, neighborhood, or property type
• Investment screening: Identify high-demand markets and undervalued opportunities
• Content aggregation: Feed ForRent data into your own rental search platform or app
• Academic research: Study housing affordability, tenant reviews, and market dynamics
• Lead generation: Monitor new listings and contact property managers at scale

The scraper delivers clean, consistent data that saves weeks of manual browsing and spreadsheet wrangling — enabling faster market research, better investment decisions, and scalable data pipelines.

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Conclusion

The ForRent Property Search Scraper provides real estate professionals and researchers with instant, structured access to rental market data. By automating extraction of 30+ fields per listing, it empowers data-driven decision-making in the competitive rental housing market. Start scraping today and unlock insights that would take months to gather manually.