PadMapper Property Scraper: Extract Real Estate Listings Instantly

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What Is PadMapper?

PadMapper is a comprehensive apartment and rental property search platform aggregating listings from major portals, property management companies, and individual landlords across North America. It serves millions of renters and investors seeking fast, filtered access to available properties by location, price, and amenities. Extracting this data manually is tedious—the PadMapper Property Scraper automates the collection process, delivering structured property records ready for analysis, comparison, or integration.

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Overview

The PadMapper Property Scraper extracts comprehensive property listings from PadMapper search results and detail pages, transforming raw HTML into clean, structured JSON or CSV records. It is designed for:

• Real estate investors tracking rental market trends and pricing patterns
• Property managers monitoring competitive listings and vacancy rates
• Data analysts building datasets for market intelligence or research
• Aggregator platforms feeding property data into custom search engines
• FinTech platforms enriching property-based lending or valuation models

Key strengths include geographic bounding box support, configurable item limits, failure tolerance, and rich output spanning property details, pricing, amenities, contact info, and listing metadata.

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Input Format

The scraper accepts a JSON configuration specifying which properties to collect:

{
    "urls": [
        "https://www.padmapper.com/apartments/new-york-ny?box=-74.2557,40.496,-73.7002,40.9176"
    ],
    "max_items_per_url": 200,
    "ignore_url_failures": true
}

Field	Type	Description
urls	Array	PadMapper search result URLs (supports geographic filters via bounding box parameters)
max_items_per_url	Integer	Maximum listings extracted per URL (e.g., 200 collects up to 200 properties)
ignore_url_failures	Boolean	If true, skips failed URLs instead of halting the entire run

URL Format Tips:

• Use direct search URLs: https://www.padmapper.com/apartments/[city-state]
• URLs often include bounding box filters: ?box=lng_min,lat_min,lng_max,lat_max for geographic precision
• You may also use filtered URLs with price, bedroom, or pet parameters

Example: The URL above searches apartments in New York City within a specific geographic boundary, collecting up to 200 results.

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Output Format

Sample output

{
  "is_spotlight": true,
  "listing_id": 64229807,
  "created_on": 1777486199,
  "modified_on": 1782935786,
  "listed_on": 1784757607,
  "listing_status": 1,
  "group_id": -2069776,
  "address": "395 Carroll Street",
  "city": "Brooklyn",
  "lat": 40.6784436,
  "lng": -73.9895138,
  "pets": [
    2,
    1
  ],
  "leasing_fee": 1,
  "building_id": 2069776,
  "feed_name": null,
  "image_ids": [
    895146878,
    895146877,
    895146876,
    895146871,
    895146872,
    895146873,
    895146874,
    895146875,
    895146879,
    895159608
  ],
  "neighborhood_id": null,
  "neighborhood_name": null,
  "brokerage_id": null,
  "agent_id": 16061714,
  "agent_name": "Westmark Apartments",
  "brokerage_name": null,
  "state": "NY",
  "building_name": "Westmark",
  "tz": "America/New_York",
  "promotion": 110,
  "city_state": "brooklyn-ny",
  "zappable": 1,
  "property_type": 4,
  "amenities": [],
  "building_amenities": [
    3
  ],
  "amenity_tags": [
    "Natural Light",
    "Stainless Steel Appliances",
    "Vinyl Plank Flooring",
    "Kitchen Island"
  ],
  "building_amenity_tags": [
    "Fitness Center",
    "Co-working lounge",
    "Rooftop Terraces",
    "Yoga Studio",
    "Resident Lounge",
    "Kids Playroom",
    "Game Room",
    "Theatre Room",
    "Courtyard",
    "Library"
  ],
  "phone": "(646) 572-4571",
  "listing_type": 1,
  "pb_id": 1598893,
  "pb_url": "westmark-gowanus-new-york-ny",
  "url": "/apartment-buildings/p1598893/westmark-gowanus-new-york-ny",
  "padmapper_url": "/buildings/p1598893/westmark-apartments-at-395-carroll-street-brooklyn-ny-11231",
  "date_available": null,
  "max_price": 5974,
  "min_price": 3257,
  "previous_price": null,
  "max_bedrooms": 2,
  "min_bedrooms": 0,
  "max_bathrooms": 2,
  "min_bathrooms": 0,
  "floorplan_count": 9,
  "min_lease_days": null,
  "max_lease_days": null,
  "min_square_feet": 9223372036854776000,
  "max_square_feet": -1,
  "lease_type": 3,
  "features": [
    10,
    78,
    81,
    19,
    56,
    88,
    92,
    61
  ],
  "zipcode": "11231",
  "is_pad": false,
  "max_all_bathrooms": [
    2,
    0
  ],
  "min_all_bathrooms": [
    0,
    0
  ],
  "pl_id": null,
  "pl_url": null,
  "pa_url": "395-carroll-st-brooklyn-ny-11231-usa",
  "is_messageable": true,
  "provider_url": null,
  "internal_video_ids": null,
  "title": "1 Bedroom - 1205",
  "short_description": null,
  "rating": 9.4,
  "pa_should_index": false,
  "integrated_tour_types": [],
  "external_rating": null,
  "has_fees": false,
  "from_url": "https://www.padmapper.com/apartments/new-york-ny?box=-74.2557,40.496,-73.7002,40.9176"
}

Each scraped property returns a detailed record with 70+ fields covering identification, pricing, location, amenities, contact info, and listing metadata:

Property Identification & Metadata

Field	Meaning
Listing ID	Unique identifier for the property listing in PadMapper's database
Padmapper URL	Direct link to the listing on PadMapper
URL	Original source URL (if listing came from another feed)
PB ID	Property board ID from the source feed
PB URL	Property board URL (external source link)
PL ID	Property listing ID from the source provider
PL URL	Property listing URL (source provider link)
PA URL	Property aggregator URL
Provider URL	URL of the original listing provider
Title	Property listing title as displayed
Short Description	Brief property summary

Location & Geographic Data

Field	Meaning
Address	Full street address of the property
City	City name
State	State or province abbreviation
Zip Code	Postal code
City State	Combined city and state format
Latitude	Geographic latitude coordinate
Longitude	Geographic longitude coordinate
Time Zone	IANA timezone (e.g., "America/New_York")
Neighborhood Name	Named neighborhood or district
Neighborhood ID	Internal neighborhood identifier

Pricing Information

Field	Meaning
Min Price	Minimum monthly rent in USD
Max Price	Maximum monthly rent (for variable-price units)
Previous Price	Prior monthly rent (if recently changed)
Has Fees	Boolean indicating whether leasing or other fees apply
Leasing Fee	One-time fee charged at lease signing

Unit & Property Specifications

Field	Meaning
Min Bedrooms	Minimum bedrooms available
Max Bedrooms	Maximum bedrooms available
Min Bathrooms	Minimum bathrooms in available units
Max Bathrooms	Maximum bathrooms
Max All Bathrooms	Total bathrooms including half-baths
Min All Bathrooms	Minimum total bathroom count
Min Square Feet	Smallest unit size in square feet
Max Square Feet	Largest unit size
Floorplan Count	Number of distinct floor plans offered
Property Type	Category (e.g., "apartment", "house", "condo")
Lease Type	Lease structure (e.g., fixed-term, month-to-month)

Lease & Availability Terms

Field	Meaning
Date Available	Earliest move-in date for the property
Min Lease Days	Minimum lease duration in days
Max Lease Days	Maximum lease duration (seasonal or corporate housing)

Amenities & Features

Field	Meaning
Amenities	List of property-level amenities (e.g., gym, pool, concierge)
Building Amenities	Building-wide shared amenities
Amenity Tags	Standardized amenity tags for filtering
Building Amenity Tags	Standardized building amenity tags
Features	Additional features or highlights of the unit
Pets	Pet policy (allows/disallows, deposit amounts)

Building & Organization

Field	Meaning
Building ID	Unique identifier for the building
Building Name	Official name of the residential building
Group ID	Property group or portfolio identifier

Agent & Brokerage Information

Field	Meaning
Agent ID	Unique identifier for the listing agent
Agent Name	Full name of the property agent or contact person
Brokerage ID	Real estate brokerage company identifier
Brokerage Name	Official name of the brokerage firm
Phone	Contact phone number for inquiries
Is Messageable	Whether the listing accepts in-app messages

Listing Status & Flags

Field	Meaning
Created On	Date the listing was first created
Listed On	Date the property was listed for rent
Modified On	Last modification date
Listing Status	Current status (active, expired, pending, etc.)
Feed Name	Source feed name (e.g., "Zillow", "Apartments.com")

Special Features & Promotion

Field	Meaning
Is Spotlight	Whether the listing has paid spotlight promotion
Promotion	Active promotional offer (e.g., "one month free")
Is Pad	Whether listing is a PadMapper-exclusive property
Zappable	Whether the property can be "zapped" (saved to favorites)
Rating	User rating or quality score
External Rating	Rating from external source (e.g., Google, Apartments.com)

Media & Content

Field	Meaning
Image IDs	Array of image IDs for the property photos
Internal Video IDs	Array of video IDs (virtual tour, walkthroughs)
Integrated Tour Types	Types of virtual tours available (e.g., "3D", "Video")

Administrative Fields

Field	Meaning
PA Should Index	Internal flag for search engine indexing

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How to Use

1. Find search URLs — Navigate to PadMapper, enter your desired city and apply filters (price, bedrooms, pets, etc.). Copy the resulting URL.
2. Adjust geographic bounds — For large areas, modify the bounding box (box= parameter) to target specific neighborhoods and improve efficiency.
3. Configure limits — Set max_items_per_url to control scrape volume (e.g., 200 for a thorough search, 50 for a quick sample).
4. Enable failure tolerance — Set ignore_url_failures: true for uninterrupted collection across multiple URLs.
5. Run and monitor — Start the scraper and check the logs for any blocked or problematic URLs.
6. Export results — Download data as JSON, CSV, or Excel for downstream analysis or import into real estate platforms.

Common tips:

• Use bounding boxes for geographic precision—avoid scraping an entire state if you only need one city.
• If a URL returns fewer listings than expected, check that filters are not too restrictive.
• Leverage ignore_url_failures when scaling across many URLs to handle occasional PadMapper timeouts.

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Use Cases & Business Value

• Market intelligence: Track rental price trends by neighborhood, building type, and amenity availability
• Competitive analysis: Monitor how competitors position properties, set pricing, and promote listings
• Investment due diligence: Build datasets for rental yield analysis across geographies
• Real estate platforms: Aggregate listings from PadMapper as a feed for custom property search engines
• Academic research: Study housing affordability, supply trends, or neighborhood characteristics
• Appraisal & valuation: Enrich property datasets with comparable rental comps for valuation models

The PadMapper Property Scraper transforms time-consuming manual browsing into automated data collection, enabling fast market analysis and informed decision-making for investors, agents, and platforms.

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Conclusion

The PadMapper Property Scraper is a powerful tool for anyone needing structured rental property data at scale. With 70+ output fields and flexible URL support, it covers everything from basic unit specs to pricing, amenities, and agent contacts. Whether you're building market intelligence, feeding a real estate platform, or analyzing rental trends, this scraper delivers clean, ready-to-use data in minutes. Start a run today and unlock insights that manual searching cannot provide.