HotPads.com Rental Listings Scraper

Extract structured rental listing data from HotPads.com — prices, unit details, amenities, agent contacts, photos, and more — without writing a single line of code. Works for apartments, houses, condos, townhouses, and rooms across any US city or neighbourhood.

Try it on any HotPads search URL: apartments, houses, condos, or filtered searches by price, beds, or neighbourhood.

What does HotPads Scraper do?

HotPads Scraper loads HotPads.com search result pages and, optionally, visits each listing's detail page to extract the full data. It outputs one dataset row per listing — apartment buildings include a nested units array with every available unit's price, sqft, beds, baths, and availability date.

Run it on Apify's infrastructure with automatic proxy rotation, scheduling, API access, and integrations to Google Sheets, Airtable, Make, Zapier, and hundreds of other tools.

Why use HotPads Scraper?

• Real estate market research — track rent prices across neighbourhoods over time
• Investment analysis — compare rental yields and vacancy rates by area
• Relocation research — gather listings across multiple cities for comparison
• Property management — monitor competitor pricing and availability
• Lead generation — build contact lists of landlords and property managers
• Academic research — compile rental market datasets for housing studies

How to use HotPads Scraper

1. Find a search URL on HotPads.com — navigate to any city, filter by property type, price range, or beds, then copy the URL from your browser (e.g. https://hotpads.com/san-francisco-ca/apartments-for-rent?orderBy=score)
2. Open this Actor and click Try for free
3. Paste the URL into the Start URLs field
4. Set your limits — use Max Items to cap results and Max Pages to control how many search pages to follow
5. Choose a mode — enable Include Details (default) to visit each listing page and get the full dataset — descriptions, per-unit breakdowns, lease terms, fees, pet deposits, and all search-page fields. Disable it for fast mode — search-page data only, ~10× faster, no detail page visits
6. Click Start and wait for results to appear in the Output tab
7. Download in JSON, CSV, Excel, or HTML — or connect via API

Input

Field	Type	Default	Description
Start URLs	URL list	—	One or more HotPads search page URLs
Max Items	integer	0 (unlimited)	Stop after this many listings (0 = scrape all)
Max Pages	integer	40	Search result pages to follow per URL (max 40 — HotPads hard cap)
Include Details	boolean	true	When true (default): visits each listing's detail page — returns the full dataset including description, per-unit breakdown, fees, lease terms, and all search-page fields. When false (fast mode): uses search page data only — ~10× faster, fewer compute units, no detail page visits
Proxy Configuration	proxy	Apify Residential US	Proxy settings — residential proxies are required to avoid blocks

Example input:

{
  "startUrls": [{ "url": "https://hotpads.com/san-francisco-ca/apartments-for-rent?orderBy=score" }],
  "maxItems": 100,
  "maxPages": 3,
  "includeDetails": true
}

Output

Results appear in the Output tab. You can download the dataset in JSON, CSV, Excel, or HTML format.

Apartment building (includeDetails: true)

One row per building with a units array containing every available unit:

{
  "url": "https://hotpads.com/nema-san-francisco-ca-94103-247tudg/pad",
  "display_name": "NEMA",
  "street_address": "8 10th St",
  "city": "San Francisco",
  "state": "CA",
  "zip": "94103",
  "neighborhood": "South of Market",
  "latitude": 37.7761933,
  "longitude": -122.4174695,
  "property_type": "large",
  "listing_type": "rental",
  "is_apartment_building": true,
  "price_min": 3605,
  "price_max": 8091,
  "price_display": "$3,605 - $8,091",
  "bedrooms_min": 0,
  "bedrooms_max": 2,
  "bathrooms_min": 1,
  "bathrooms_max": 2,
  "sqft_min": 463,
  "sqft_max": 1482,
  "description": "San Francisco's original lifestyle pioneer...",
  "lease_terms": "12",
  "total_units_in_building": 754,
  "special_offers": "Move-in incentives available on select residences.",
  "pet_policy": "Cats and Dogs Allowed",
  "laundry": "In Unit, Shared",
  "parking": "Garage, Detached Garage",
  "gym": true,
  "pool": true,
  "security": "Doorman, Gated Entry",
  "dishwasher": true,
  "listed_by_name": "NEMA Leasing Agent",
  "listed_by_company": "CH Management Services LLC",
  "listed_by_phone": "1-707-368-5750",
  "posted_date": "2018-08-08T15:37:28.458Z",
  "updated_date": "2026-05-06T12:05:50.052Z",
  "listing_source": "hotpads.com",
  "units": [
    {
      "unit_number": "0829",
      "floorplan_name": "SA1",
      "floorplan_id": "fp-sa1",
      "beds": 0,
      "baths": 1,
      "sqft": 476,
      "price": 3605,
      "availability_date": null,
      "is_new_unit": false,
      "has_price_dropped": true,
      "price_drop": 145
    }
  ]
}

Single-unit listing (house, condo, townhouse, room)

{
  "url": "https://hotpads.com/1559-pershing-dr-a-san-francisco-ca-94129-xyz/pad",
  "display_name": "1559 Pershing Dr #A",
  "unit": "A",
  "street_address": "1559 Pershing Dr",
  "city": "San Francisco",
  "state": "CA",
  "zip": "94129",
  "neighborhood": "Presidio",
  "property_type": "townhouse",
  "listing_type": "rental",
  "is_apartment_building": false,
  "price": 4950,
  "bedrooms": 2,
  "bathrooms": 1,
  "sqft": 835,
  "availability_date": "2026-05-08",
  "pet_policy": "Cats and Dogs Allowed",
  "laundry": "Washer/Dryer Hookups",
  "parking": "Off Street",
  "dishwasher": true,
  "listed_by_name": "Baker Beach Apartment Homes",
  "listed_by_company": "The Presidio Residences",
  "posted_date": "2026-05-06T11:40:39.784Z",
  "listing_source": "hotpads.com",
  "units": null
}

Data fields

All fields below are present in both modes unless marked. Detail mode (includeDetails: true) is a strict superset — it returns every fast-mode field plus the detail-only fields.

Field	Type	Mode	Description
url	string	both	Direct link to the HotPads listing
display_name	string	both	Listing name or address
street_address	string	both	Street address
city	string	both	City
state	string	both	State abbreviation (e.g. "CA")
zip	string	both	ZIP code
neighborhood	string	both	Neighbourhood name
latitude / longitude	number	both	GPS coordinates
property_type	string	both	"large", "house", "condo", "townhouse", etc.
listing_type	string	both	"rental" or "room"
unit	string	both	Unit identifier for single-unit listings (e.g. "A", "302") — null for apartment buildings
is_apartment_building	boolean	both	true for multi-unit buildings
price	number	both	Monthly rent — single-unit listings only
price_min / price_max	number	both	Price range — apartment buildings only
price_display	string	both	Formatted price string (e.g. "$3,605 - $8,091")
bedrooms / bathrooms / sqft	number	both	Single-unit dimensions
bedrooms_min/max / bathrooms_min/max / sqft_min/max	number	both	Range — apartment buildings
availability_date	string	both	Available from date (ISO 8601) or null = available now
unit_count	number	both	Currently available units in this building
rental_application_status	string	both	"accepted", "undecided", or "unaccepted"
student_housing	boolean	both	Listing is targeted at student renters
senior_housing	boolean	both	Age-restricted senior housing
military_housing	boolean	both	Military housing
income_restricted	boolean	both	Income-restricted / affordable housing
has_special_offers	boolean	both	Listing has active move-in promotions
special_offer_label	string	both	Short offer text e.g. "1 month free"
price_drop_count	number	both	Number of recent price drops on this listing
new_unit_count	number	both	Number of newly added units
room_is_furnished	boolean	both	Room listing is furnished (room listings only)
has_private_bath	boolean	both	Room has private bathroom (room listings only)
updated_display	string	both	Last updated — human-readable e.g. "2h", "3 days ago"
pet_policy	string	both	Pet policy summary e.g. "Cats and Dogs Allowed"
laundry	string	both	e.g. "In Unit", "In Unit, Shared"
parking	string	both	e.g. "Garage", "Off Street"
hvac	string	both	e.g. "Central A/C"
gym / pool	boolean	both	On-site gym / pool
security	string	both	e.g. "Doorman, Gated Entry"
dishwasher	boolean	both	Dishwasher available
has_3d_tour	boolean	both	3D virtual tour available
photos	string[]	both	Array of photo URLs
photo_count	number	both	Total photo count
listed_by_name	string	both	Agent or landlord name
listed_by_company	string	both	Property management company
listed_by_phone	string	both	Contact phone number
is_broker_listing	boolean	both	Listed by a broker
posted_date	string	both	Original listing date (ISO 8601)
listing_source	string	both	Always "hotpads.com"
description	string	detail only	Full listing description
lease_terms	string	detail only	Lease length and terms
fees_and_deposits	array	detail only	Fee/deposit objects if provided
total_units_in_building	number	detail only	Total units in building (apartment buildings)
website	string	detail only	Property management website
special_offers	string	detail only	Full move-in offer text
cat_allowed / dog_allowed	boolean	detail only	Per-pet-type allowance
cat_deposit / dog_deposit	number	detail only	Pet deposit amount
updated_date	string	detail only	Last updated — ISO 8601 timestamp
nearby_schools	array	detail only	Nearby schools — each has name (string) and type ("primaryschool", "middleschool", "highschool", "mixedschool")
units	array	detail only	Available units — apartment buildings only

How much does it cost to scrape HotPads?

This actor is currently free to use. You only pay for Apify platform compute and proxy usage from your own account credits.

Apify offers a free tier with $5 of platform credits per month. With residential proxies enabled, typical costs are:

Listings	Mode	Estimated platform cost
100	Fast	~$0.05
100	Detail	~$0.50
1,000	Fast	~$0.20
1,000	Detail	~$3–5

Fast mode (includeDetails: false) is ~10× cheaper since it skips detail page visits — ideal for large-scale price monitoring where description and per-unit breakdowns are not needed.

To control costs: set maxItems to cap results and maxPages to limit search depth.

Tips

• Multiple neighbourhoods: add several search URLs to the Start URLs field — the scraper will process them all in one run
• Property type filtering: use HotPads's own filters in the URL — houses-for-rent, condos-for-rent, rooms-for-rent all work
• Price range filtering: filter on HotPads first (e.g. ?price=2000-4000) to target the listings you need
• Keep data fresh: use Apify's built-in scheduler to run the actor daily or weekly and maintain an up-to-date dataset
• Large cities: HotPads caps at 40 pages × 40 listings = 1,600 results per search URL. For dense markets like NYC or SF, filter by neighbourhood or price band to stay within the window

FAQ, disclaimers, and support

Is scraping HotPads legal? This actor collects publicly available listing data for personal or business research. Always comply with HotPads's Terms of Service and applicable data protection laws in your jurisdiction. Do not use this tool to harvest personal data without a lawful basis.

Some fields are null — why? HotPads does not always provide every field for every listing. A null value means the data was not available on the page, not that the scraper failed.

The scraper got blocked — what should I do? Ensure the proxy is set to Apify Residential US proxies. Avoid very high concurrency settings. If blocks persist, try reducing maxConcurrency or contact support.

Can you build a custom version? Yes — open an issue on the Issues tab or contact us directly for a custom data extraction solution tailored to your needs.