PadMapper Property Scraper: Extract Rental Listings & Details

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What Is PadMapper?

PadMapper is a leading online rental marketplace and property search platform helping millions find apartments, houses, and commercial rentals across North America. It aggregates listings from multiple sources including landlords, property managers, and brokers, making it a comprehensive database of available rentals. For market researchers, real estate professionals, and data analysts, manually collecting property details is inefficient — the PadMapper Property Scraper automates the extraction of detailed listing data at scale.

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Overview

The PadMapper Property Details Scraper extracts comprehensive rental property information from individual listing pages, converting complex rental data into clean, structured records. It is designed for:

• Real estate analysts tracking rental market trends and pricing strategies
• Property managers monitoring competitor listings and market positioning
• Data aggregators building rental databases for portals and APIs
• Market researchers studying housing availability and affordability patterns
• Investment firms analyzing rental yield opportunities across regions

The scraper excels at handling dynamic pricing, multiple amenity tags, pet policies, and lease term variations — capturing the full complexity of modern rental listings in a structured format.

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Input Format

The scraper accepts a JSON configuration object specifying target URLs and operational settings:

{
    "urls": [
        "https://www.padmapper.com/rentals/58251777/2-bedroom-1-bath-apartment-at-avenue-w-new-york-ny-11229",
        "https://www.padmapper.com/buildings/p1598893/westmark-apartments-at-395-carroll-street-brooklyn-ny-11231"
    ],
    "max_items_per_url": 200,
    "ignore_url_failures": true
}

Field	Description
urls	Array of individual property listing URLs from PadMapper
max_items_per_url	Maximum records to extract per URL (default: 200)
ignore_url_failures	If true, scraper continues if a URL fails; if false, stops on first failure

Note: URLs can point to individual rental listings (/rentals/) or building pages (/buildings/). Both formats are supported.

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Output Format

Sample output

{
  "listing_id": 58251777,
  "provider_id": null,
  "provider_url": null,
  "title": null,
  "description": "House\nWalkin Level\n2 Bed Rooms King @Queens\n1.5 Bath Rm\nNew Kitchen And Bathrm\nHardwood Floors\nStainless Steel\nEat In Kitchen\nIsland Counter Tops\nHuge Living Rm\nNewly Painted\nHigh Ceilings\nKitchen Eat In\nSunny\nBright Oven\nCozy\nSpacious\nMarket Friendly\nSuper Clean\nSuper Maintained\nCloset Space\nClosets In All Rooms\nSteps To Transit Q ,Line\nHuge Apt 1000 Sqft Easy\nHuge Fridge\nNew Oven\nMarket Shopping Friendly\n\n\nCold Water Included\nHeat Hot Water Not Included\nGas Electric Not Included\n\nSerious Clients Only Have\nW2,Paystubs And State Id Good Credit\nCall Ask For 5165268597",
  "min_price": 2100,
  "max_price": 2100,
  "base_min_price": 2100,
  "base_max_price": 2100,
  "created_on": 1719794072,
  "listing_status": 1,
  "property_type": 13,
  "lease_type": 3,
  "currency_code": 1,
  "bedrooms": 2,
  "bathrooms": 1,
  "half_bathrooms": 0,
  "media": [
    {
      "media_id": 752747857,
      "media_type": 1,
      "width": 2040,
      "height": 1530,
      "is_available": true,
      "name": null,
      "process_state": null,
      "__typename": "Media"
    },
    {
      "media_id": 752747865,
      "media_type": 1,
      "width": 2040,
      "height": 1530,
      "is_available": true,
      "name": null,
      "process_state": null,
      "__typename": "Media"
    },
    {
      "media_id": 752747866,
      "media_type": 1,
      "width": 2040,
      "height": 1530,
      "is_available": true,
      "name": null,
      "process_state": null,
      "__typename": "Media"
    },
    {
      "media_id": 752747867,
      "media_type": 1,
      "width": 2040,
      "height": 1530,
      "is_available": true,
      "name": null,
      "process_state": null,
      "__typename": "Media"
    },
    {
      "media_id": 752747859,
      "media_type": 1,
      "width": 2040,
      "height": 1530,
      "is_available": true,
      "name": null,
      "process_state": null,
      "__typename": "Media"
    },
    {
      "media_id": 752747860,
      "media_type": 1,
      "width": 2040,
      "height": 1530,
      "is_available": true,
      "name": null,
      "process_state": null,
      "__typename": "Media"
    },
    {
      "media_id": 752747861,
      "media_type": 1,
      "width": 2040,
      "height": 1530,
      "is_available": true,
      "name": null,
      "process_state": null,
      "__typename": "Media"
    },
    {
      "media_id": 752747862,
      "media_type": 1,
      "width": 2040,
      "height": 1530,
      "is_available": true,
      "name": null,
      "process_state": null,
      "__typename": "Media"
    },
    {
      "media_id": 752747863,
      "media_type": 1,
      "width": 2040,
      "height": 1530,
      "is_available": true,
      "name": null,
      "process_state": null,
      "__typename": "Media"
    },
    {
      "media_id": 752747864,
      "media_type": 1,
      "width": 2040,
      "height": 1530,
      "is_available": true,
      "name": null,
      "process_state": null,
      "__typename": "Media"
    },
    {
      "media_id": 752747858,
      "media_type": 1,
      "width": 2040,
      "height": 1530,
      "is_available": true,
      "name": null,
      "process_state": null,
      "__typename": "Media"
    },
    {
      "media_id": 752747868,
      "media_type": 1,
      "width": 2040,
      "height": 1530,
      "is_available": true,
      "name": null,
      "process_state": null,
      "__typename": "Media"
    },
    {
      "media_id": 752747869,
      "media_type": 1,
      "width": 2040,
      "height": 1530,
      "is_available": true,
      "name": null,
      "process_state": null,
      "__typename": "Media"
    }
  ],
  "pets": [],
  "building_id": null,
  "amenities": [
    11
  ],
  "building_amenities": [],
  "lease_terms": "1 year",
  "modified_on": 1784852100,
  "feed_name": null,
  "leasing_fee": 1,
  "listing_type": 3,
  "listed_on": 1777559955,
  "neighborhood": {
    "neighborhood_id": 6213,
    "name": "Sheepshead Bay",
    "city_state_name": "new-york-ny/sheepshead-bay",
    "city": "New York",
    "state": "NY",
    "city_id": 2185,
    "lat": 40.5993018685001,
    "lng": -73.9463109999999,
    "listing_count": 45,
    "type": 1,
    "country": "USA",
    "box": [
      -73.9676789999999,
      40.5825560000001,
      -73.9249429999999,
      40.6160477370001
    ],
    "parent_id": null,
    "index": true,
    "latest_ppb_json": {
      "0": 2500,
      "1": 1700,
      "2": 2975,
      "3": 3800,
      "4": 2700
    },
    "index_attrs": null,
    "url": "/apartments/new-york-ny/sheepshead-bay",
    "list_url": "/apartments/new-york-ny/sheepshead-bay",
    "path": "new-york-ny/sheepshead-bay",
    "main_image_url": null,
    "index_attrs_json": null
  },
  "building_name": null,
  "viewings": null,
  "zappable": 1,
  "pb_id": null,
  "pb_url": null,
  "date_available": "2026/04/30",
  "similar": [],
  "is_messageable": true,
  "city_state": "new-york-ny",
  "brokerage_id": null,
  "phone": "(844) 494-6592 ext. 2068",
  "min_lease_days": null,
  "max_lease_days": null,
  "features": [
    19,
    17,
    78,
    88
  ],
  "is_pro": true,
  "is_pad": false,
  "price_change": -97,
  "short_description": null,
  "amenity_tags": [
    "Hardwood Floor"
  ],
  "building_amenity_tags": null,
  "income_restrictions_json": null,
  "pl_id": null,
  "pl_url": null,
  "pa_url": null,
  "active_units": null,
  "pa_should_index": false,
  "mls_listing_id": null,
  "feed_sub_name": null,
  "fees": null,
  "architectural_style": null,
  "freemium_score": 0.2983786883536649,
  "supplemental_content": {
    "supplemental_content_id": 726112458,
    "content_id": 58251777,
    "content_type": "listing",
    "content_url": "58251777",
    "description": " A house in Sheepshead Bay, this 2-bed, 1-bath house features a newly renovated kitchen and bathroom with stainless steel appliances and island countertops. The 1,000 sqft layout includes hardwood floors, high ceilings, a huge living room, and closets in all rooms. Steps to Q train transit with cold water included in rent.",
    "description_title": " 2-bed Sheepshead Bay house with new kitchen\n",
    "keywords": [
      "hardwood floors",
      "closet space",
      "eat in kitchen",
      "huge living room",
      "high ceilings",
      "new kitchen and bathroom"
    ],
    "reviews_summary": null,
    "property_overview": "Featuring hardwood floors and ample closet space, this residence includes an eat-in kitchen and a spacious living room with high ceilings. Recent updates to the kitchen and bathroom enhance its appeal, making it an attractive option in the Brooklyn area. Additionally, the convenience of local amenities and transportation options adds to its desirability.",
    "version": "v1.0",
    "last_generated": 1781022012,
    "created_on": 1775716236,
    "modified_on": 1784866562
  },
  "square_feet": 1000,
  "parsed_data": {},
  "hours": null,
  "prices": [
    [
      1719794701,
      2195,
      2195
    ],
    [
      1775447536,
      2299,
      2299
    ],
    [
      1777559935,
      72651,
      72651
    ],
    [
      1777559954,
      2100,
      2100
    ]
  ],
  "pet_policy": null,
  "unit_data": null,
  "deposits": null,
  "amenity_groups": {
    "hardwood _floor": {
      "group": 2,
      "level": 2,
      "parent_display": null
    }
  },
  "waitlist_enabled": false,
  "external": 0,
  "promotion_type": 3,
  "url": "/rentals/58251777/2-bedroom-1-bath-apartment-at-avenue-w-new-york-ny-11229",
  "neighborhood_url": "/apartments/new-york-ny/sheepshead-bay",
  "price": 2100,
  "has_fees": true,
  "address": "Avenue W #1",
  "attribution": null,
  "is_featured": false,
  "listing_location": {
    "street": "Avenue W",
    "unit": "1",
    "floor": null,
    "intersection": null,
    "neighborhood_id": 6213,
    "zipcode": "11229",
    "city": "New York",
    "state": "NY",
    "lat": 40.5959059,
    "lng": -73.9434023,
    "formatted_address": "Avenue W #1, New York, NY 11229, USA",
    "country": "USA",
    "tz": "America/New_York"
  },
  "listing_agents": [
    {
      "user_id": 6840766,
      "brokerage": null,
      "first_name": "Real Estate",
      "last_name": "Mangement",
      "long_name": "Real Estate Mangement",
      "email": "6840766@zump.co",
      "phone": "(844) 494-6592 ext. 2068",
      "picture_url": "agents/6840766/headshot/mRAWRBY7B-r7WVDWP2xi0Q",
      "features": [
        28,
        6,
        23,
        7,
        27
      ],
      "url": "/pros/real-estate-venture-capital/management-nyc",
      "logo_url": null,
      "signature": null,
      "verified_on": null,
      "application_fee": 0,
      "screening_fee": 2000,
      "long_description": null,
      "short_description": null,
      "colors": null,
      "background_url": null,
      "video_urls": null,
      "has_profile": true,
      "is_zpro": true,
      "company_name": "REAL ESTATE VENTURE",
      "is_pad_poster": false,
      "region": "new-york-ny",
      "authorized_screen_products": [
        3,
        2,
        1
      ],
      "tools_activated": true,
      "created_on": 1570406764,
      "business_customer": 1,
      "proxy_phone_enabled": 3,
      "is_verified": false,
      "stripe_onboarded": false,
      "card_connect_onboarded": false,
      "__typename": "Agent"
    }
  ]
}

Each scraped property returns a rich dataset with 90+ fields covering all dimensions of a rental listing:

Listing Identification & Status

Field	Meaning
Listing ID	Unique identifier for the specific rental listing
Provider ID	ID of the data provider (landlord, broker, or aggregator)
Provider URL	Direct link to the provider's listing or website
Title	Display title of the property (e.g., "2-Bedroom 1-Bath Apartment")
URL	Full URL to the PadMapper listing page
Listing Status	Current status (active, inactive, expired, etc.)
Listing Type	Type of listing (rental, sale, sublet, etc.)
Listed On	Date the listing was first published on PadMapper
Modified On	Last update timestamp
Created On	When the listing was added to the system

Pricing & Financial Terms

Field	Meaning
Price	Monthly rental price (primary)
Min Price	Minimum rental price in range
Max Price	Maximum rental price in range
Base Min Price	Base price before additional fees
Base Max Price	Maximum base price before fees
Currency Code	Currency of pricing (e.g., USD)
Price Change	Indicator of recent price adjustments
Leasing Fee	One-time or recurring leasing fees
Has Fees	Boolean indicating presence of additional fees
Fees	Detailed breakdown of application, processing, or other fees
Deposits	Security deposit and other deposit requirements
Prices	Historical or variant pricing information

Property Details

Field	Meaning
Description	Full HTML description of the property
Short Description	Abbreviated property summary
Property Type	Category (apartment, house, condo, townhouse, etc.)
Bedrooms	Number of bedrooms
Bathrooms	Number of full bathrooms
Half Bathrooms	Number of half-baths
Square Feet	Property size in square feet
Building Name	Name of the building or complex
Address	Full street address
Listing Location	Geo-tagged location data
City State	City and state information
Neighborhood	Neighborhood name or district
Neighborhood URL	Link to neighborhood information page
Date Available	Move-in date for the rental
Architectural Style	Building style (modern, historic, Victorian, etc.)

Lease & Occupancy Terms

Field	Meaning
Lease Type	Type of lease (fixed-term, month-to-month, etc.)
Lease Terms	Specific lease term options or restrictions
Min Lease Days	Minimum lease duration in days
Max Lease Days	Maximum lease duration in days
Pets	Pet policy summary (allowed, restricted, not allowed)
Pet Policy	Detailed pet allowance rules and fees
Allow Students	Whether lease is available to students
Income Restrictions JSON	Income qualification requirements (if applicable)

Amenities & Features

Field	Meaning
Amenities	JSON array of unit-level amenities (A/C, dishwasher, washer/dryer, etc.)
Amenity Tags	Normalized tags for machine learning and filtering
Building Amenities	Common area amenities (gym, pool, parking, doorman, etc.)
Building Amenity Tags	Structured building amenity categories
Amenity Groups	Grouped amenities by category (kitchen, bathroom, utilities, etc.)
Features	Additional property features and highlights
Supplemental Content	Extra media, videos, or enriched content

Contact & Application

Field	Meaning
Phone	Contact phone number
Brokerage ID	Real estate brokerage identifier (if applicable)
Listing Agents	Agent name and details for brokers
Is Messageable	Whether in-app messaging is available to inquire
Viewings	Availability of scheduled viewings or tours

Media & Visibility

Field	Meaning
Media	Array of image and video URLs
Hours	Office or showing hours
Feed Name	Internal feed or data source name
Feed Sub Name	Sub-category within feed
Is Featured	Whether listing has paid promotional placement
Promotion Type	Type of promotion (featured, boosted, etc.)
Zappable	Whether the listing is saved or "zapped" by users
MLS Listing ID	Multiple Listing Service ID (if applicable)

SEO & Platform Integration

Field	Meaning
PB ID	PadMapper Building ID
PB URL	Building profile URL
PL ID	PadMapper Listing ID variant
PL URL	Listing URL variant
PA URL	Property Alternate URL variant
PA Should Index	SEO indexing flag for search engines
External	Whether listing links to external property manager site
Attribution	Data source or attribution information

Additional Metrics

Field	Meaning
Active Units	Number of available units in the building
Similar	Related or comparable listings
Freemium Score	Internal PadMapper quality or engagement score
Is Pro	Professional broker or verified listing indicator
Is Pad	PadMapper-owned or managed listing
Waitlist Enabled	Whether users can join a waitlist
Unit Data	Variant-level pricing and configuration data
Parsed Data	Structured extraction of key fields from unstructured text
Building ID	Unique identifier for the building or complex

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How to Use

1. Collect URLs — Browse PadMapper.com and copy the URLs of individual property listings. You can include unit-level pages (/rentals/) or building overview pages (/buildings/).

2. Prepare input configuration — Add URLs to the urls array. Adjust max_items_per_url based on your needs (typically 200 for full extraction).

3. Enable resilience — Set ignore_url_failures: true to ensure the scraper continues if a single URL is unreachable.

4. Execute the scraper — Start the run and monitor progress through the logs.

5. Export & integrate — Download the output as JSON, CSV, or Excel. Pipe directly into your database, BI tool, or data pipeline.

Best Practices:

• Use direct property URLs for faster, more reliable results than search pages.
• Batch URLs in groups of 50–100 for better performance monitoring.
• Check the Modified On field to identify recent listing updates.

Common issues:

• URLs require full paths; shortened or obfuscated links may fail.
• Some pages load content dynamically; enable JavaScript rendering if data is incomplete.

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Use Cases & Business Value

• Market Intelligence: Track rental pricing trends, vacancy rates, and available inventory across regions in real time.
• Competitive Analysis: Monitor how competitors price similar units and which amenities drive demand.
• Investment Due Diligence: Analyze comparable rental yields and occupancy patterns for new property acquisitions.
• Rental Aggregators: Feed PadMapper property data into custom rental portals, chatbots, or mobile apps.
• Academic Research: Study affordable housing availability, gentrification patterns, or regional rental markets.

By automating data collection, the PadMapper Property Scraper transforms days of manual research into minutes, enabling faster decision-making and deeper market insights.

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Conclusion

The PadMapper Property Details Scraper is an essential tool for anyone who needs structured rental data at scale. With 90+ data fields covering everything from pricing and amenities to lease terms and contact information, it provides the depth required for serious market analysis and business intelligence. Stop copy-pasting rental listings and start leveraging structured data to drive smarter real estate decisions.