HotPads Rental Scraper

Pull live rental listings from HotPads at scale — monthly rent, addresses, beds, baths, square footage, GPS coordinates, amenities, full photo galleries, pet policies, and property-manager contacts for apartments, houses, condos, townhomes, rooms, and multi-family buildings across the United States. Built for rental-market analysts, relocation services, and real-estate investors who need current, structured rental inventory without searching HotPads listing by listing.

Why This Scraper?

• Nationwide US rental coverage — search apartments, houses, condos, townhomes, rooms, and multi-family buildings across all 50 states by city or ZIP code, or paste a HotPads map URL to target an exact neighborhood.
• Seven property-type filters — Any type, Apartment, House, Condo, Townhome, Room / Roommate, or Multi-family, so you pull only the inventory you care about.
• Precise rent, bedroom, bathroom, and pet filters — set a monthly-rent range, a bedroom range (studios included at 0), a minimum bathroom count that respects half-baths (e.g. 1.5), and Dogs / Cats / Dogs & cats pet policies.
• GPS coordinates on every listing — exact latitude and longitude for mapping, radius analysis, and geo-joins, not just a street address.
• Multi-unit buildings collapse to one clean row — a large apartment community returns a single row with price (lowest) and priceMax (highest) plus an embedded units[] array carrying per-unit rent, beds, baths, and square footage — no duplicate building spam.
• Full photo galleries — every listing carries a photoCount, a coverPhoto URL, and a photos[] array of image URLs, ready to power visual listing feeds.
• Property-manager contacts — the listing company / property-manager company name on each building (plus phone when the manager publishes one) for outreach lists.
• Optional deep enrichment — one switch adds square footage, assigned nearby schools (name, rating, distance), full amenity lists, and unit floorplans to every listing.
• Four sort orders, one result cap — order by Best match, Newest, Price low-to-high, or Price high-to-low, and cap the run with a single maxResults number instead of juggling page counts.

Use Cases

Rental Market Research & Analytics

• Track live rent levels and availability across neighborhoods and ZIP codes
• Compare rent per square foot between property types and submarkets
• Map inventory density using the latitude/longitude on every listing
• Build a fresh, structured rental dataset instead of copying listings by hand

Lead Generation

• Build property-manager and listing-company outreach lists by city
• Surface newly listed buildings by sorting on Newest
• Target multi-family communities for services and vendor pitches
• Feed rental leads straight into a CRM

Relocation & Housing Search

• Assemble shortlists filtered by rent range, bedrooms, and pet policy
• Compare pet-friendly inventory (dogs, cats, or both) across candidate cities
• Package amenities, photos, and school data for relocating employees
• Pull listings for an exact target area by pasting a panned HotPads map URL

Investment & Portfolio Analysis

• Benchmark asking rents against your own units in the same market
• Model rent spreads across a multi-unit building from the embedded units[] array
• Identify submarkets by beds/baths mix and price band
• Monitor competitive supply around an existing property

Price & Availability Monitoring

• Re-run on a schedule to track rent changes over time
• Watch a saved search area for new inventory
• Alert on listings that enter your target rent range
• Compare price-low-to-high results week over week

Getting Started

Search One Location

The simplest run — just type a city and state:

{
    "searchLocations": ["Austin, TX"],
    "maxResults": 50
}

Search With Filters

Narrow to pet-friendly two-bedrooms in a rent range, newest first:

{
    "searchLocations": ["Denver, CO", "80202"],
    "propertyType": "apartment",
    "minPrice": 1500,
    "maxPrice": 3000,
    "minBedrooms": 2,
    "maxBedrooms": 3,
    "minBathrooms": 1.5,
    "petPolicy": "dogs_and_cats",
    "sortBy": "newest",
    "maxResults": 200
}

Paste HotPads URLs With Full Details

Paste search-results pages or individual listing pages and turn on enrichment:

{
    "startUrls": [
        "https://hotpads.com/austin-tx/apartments-for-rent",
        "https://hotpads.com/brooklyn-ny/condos-for-rent"
    ],
    "includeListingDetails": true,
    "maxResults": 500
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
searchLocations	array	["Austin, TX"]	Cities or ZIP codes to search (e.g. "Austin, TX", "78701"). To target a specific neighborhood, paste a HotPads neighborhood/map URL under startUrls instead. The Filters below apply to these searches.
startUrls	array	[]	Paste HotPads URLs — search-results pages or individual listing pages. The location and property type built into the URL are honored; use Search Locations + Filters for price, bedroom, bathroom, and pet limits.

Filters

Filters apply to Search Locations only. Leave any filter blank to ignore it.

Parameter	Type	Default	Description
propertyType	select	Any type	Any type, Apartment, House, Condo, Townhome, Room / Roommate, or Multi-family.
minPrice	integer	—	Minimum monthly rent in USD. Blank for no minimum.
maxPrice	integer	—	Maximum monthly rent in USD. Blank for no maximum.
minBedrooms	integer	—	Fewest bedrooms to include. Use 0 to include studios.
maxBedrooms	integer	—	Most bedrooms to include.
minBathrooms	number	—	Fewest bathrooms; half-baths allowed (e.g. 1.5).
petPolicy	select	Any	Any, Dogs allowed, Cats allowed, or Dogs & cats allowed.
sortBy	select	Best match	Best match, Newest, Price: low to high, or Price: high to low. Price sorting ranks up to ~3,000 listings per location.

Options

Parameter	Type	Default	Description
maxResults	integer	100	Maximum listings across all locations and URLs combined. Set to 0 to collect all available, up to 50,000 per run. Each location returns up to ~8,000 listings (split very large markets across ZIP codes or smaller pasted HotPads map areas); price sorting ranks up to ~3,000 per location. Start with 20–50 to test, then increase.
includeListingDetails	boolean	true	Open each listing for the full record: all photos, amenities, unit floorplans, nearby schools, and square footage. Slower but much richer. When off, only the data on search cards is returned.

Output

Each result is one flat row per building. Multi-unit buildings carry an embedded units[] array. Here is a representative row with full details enabled:

{
    "listingId": "a1b2c3d4",
    "buildingId": "9f8e7d6c",
    "title": "The Ellison Apartments",
    "propertyType": "apartment",
    "price": 1495,
    "priceMax": 2650,
    "beds": 1,
    "bedsMax": 3,
    "baths": 1,
    "sqft": 712,
    "address": "1200 Barton Springs Rd",
    "city": "Austin",
    "state": "TX",
    "zipcode": "78704",
    "latitude": 30.2596,
    "longitude": -97.7684,
    "company": "Greystar Property Management",
    "phone": "5125550142",
    "petsAllowed": ["cats", "dogs"],
    "amenities": ["In-Unit Laundry", "Swimming Pool", "Covered Parking", "Fitness Center"],
    "availableDate": "2026-08-01",
    "photoCount": 34,
    "coverPhoto": "https://images.hotpads.com/example-cover-1200.jpg",
    "photos": [
        "https://images.hotpads.com/example-1-1200.jpg",
        "https://images.hotpads.com/example-2-1200.jpg"
    ],
    "units": [
        { "unit": "A1", "beds": 1, "baths": 1, "price": 1495, "sqft": 712, "availableDate": "2026-08-01" },
        { "unit": "C3", "beds": 3, "baths": 2, "price": 2650, "sqft": 1340, "availableDate": "2026-09-15" }
    ],
    "schools": [
        { "name": "Zilker Elementary", "rating": 8, "type": "Public", "grades": "PK-5", "distance": 0.4 }
    ],
    "listingUrl": "https://hotpads.com/the-ellison-austin-tx-a1b2c3d4/pad",
    "scrapedAt": "2026-07-18T14:30:00Z"
}

Core Listing

Field	Type	Description
listingId	string	HotPads listing identifier
buildingId	string	Building identifier (shared across a multi-unit building)
title	string	Listing title or building name
propertyType	string	apartment, house, condo, townhome, room, or multifamily
listingUrl	string	Full HotPads listing URL
scrapedAt	string	ISO-8601 timestamp of collection

Location

Field	Type	Description
address	string	Street address
city	string	City
state	string	Two-letter state code
zipcode	string	ZIP code
latitude	number	Latitude
longitude	number	Longitude

Pricing & Size

Field	Type	Description
price	integer	Monthly rent in USD (lowest unit for multi-unit buildings)
priceMax	integer	Highest monthly rent for multi-unit buildings (absent when a single price)
beds	number	Bedrooms (lowest for multi-unit; 0 = studio)
bedsMax	number	Highest bedroom count for multi-unit (absent when single)
baths	number	Bathrooms (half-baths preserved, e.g. 1.5)
sqft	integer	Square footage (best coverage with details enabled)

Units & Media

Field	Type	Description
units	object[]	Per-unit floorplans for multi-unit buildings: unit, beds, baths, price, sqft, availableDate
photoCount	integer	Number of photos
coverPhoto	string	Cover photo URL
photos	string[]	All photo URLs

Amenities, Contact & Details

Amenities and pet policy come from every search card; schools, availability, and description are filled when includeListingDetails is on and HotPads provides them.

Field	Type	Description
company	string	Listing company / property-manager name
phone	string	Contact phone, when the manager publishes one
petsAllowed	string[]	Pets permitted, e.g. ["dogs", "cats"]
amenities	string[]	Amenity list (in-unit laundry, pool, parking, etc.)
schools	object[]	Nearby schools: name, rating, type, grades, distance
availableDate	string	Move-in / availability date, when listed
description	string	Listing description text, when HotPads publishes one

Tips for Best Results

• Start small, then scale — set maxResults to 20–50 on your first run to confirm the data fits your needs, then raise it.
• Turn on Include Full Listing Details for depth — this is the power-user switch: it adds square footage, assigned nearby schools, full amenity lists, and per-unit floorplans. Leave it off for faster, lighter runs when search-card fields are enough.
• Type locations rather than building URLs — "Austin, TX" or "78701" is more reliable than hand-crafting search links, and the Filters section only applies to typed locations.
• Paste a HotPads map URL for an exact area — pan and zoom the HotPads map to your target neighborhood, then paste that URL into HotPads URLs to inherit the precise map bounds.
• Read multi-unit buildings from units[] — a big apartment community is one row; its per-unit rent, beds, baths, and square footage live in the embedded units[] array, not in separate rows.
• Sort by Newest to catch fresh inventory — pair Newest with a scheduled run to surface listings the moment they appear.
• Combine locations and URLs — mix several Search Locations and pasted URLs in a single run; maxResults caps the combined total.

Pricing

From $2.50 per 1,000 results — a clean pay-per-result rate that undercuts comparable HotPads scrapers. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee. Bronze, Silver, and Gold subscribers pay progressively less; the table shows total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$0.30	$0.28	$0.27	$0.25
1,000	$3.00	$2.80	$2.65	$2.50
10,000	$30.00	$28.00	$26.50	$25.00
100,000	$300.00	$280.00	$265.00	$250.00

A "result" is any listing row in the output dataset. Platform fees are additional and depend on your Apify plan.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate rental-market research, relocation support, and lead generation. You are responsible for complying with applicable laws and HotPads' Terms of Service. Do not use extracted data for spam, harassment, or any unlawful purpose, and be mindful of fair housing regulations when working with rental and location data.