๐Ÿ˜๏ธ Hotpads Rental Scraper - Apartments & Housing Data avatar

๐Ÿ˜๏ธ Hotpads Rental Scraper - Apartments & Housing Data

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from $10.00 / 1,000 results

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๐Ÿ˜๏ธ Hotpads Rental Scraper - Apartments & Housing Data

๐Ÿ˜๏ธ Hotpads Rental Scraper - Apartments & Housing Data

Under maintenance

Extract rental listings from Hotpads.com. Scrape apartments, houses, condos with pricing, beds/baths, photos, and amenities. Filter by location, price range, and property type. Includes lead scoring for quality assessment. Ideal for rental market research, property management, and investors.

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from $10.00 / 1,000 results

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๐Ÿ˜๏ธ Hotpads Rental Scraper โ€” Apartments, Houses & Rental Listings With Lead Scores

Extract rental listings from Hotpads.com โ€” one of the largest US rental marketplaces (Zillow-owned) covering apartments, houses, condos, townhomes and rooms. Search any US city with filters for rent, bedrooms, pet policy and property type, and get back clean, structured listings with pricing, beds, photos, verification badges and a 0โ€“100 lead score on every result. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

๐Ÿ˜๏ธ What is the Hotpads Rental Scraper?

It turns any Hotpads rental search into a structured dataset. Give it a city (san-francisco-ca, new-york-ny, โ€ฆ) and optional filters for price, bedrooms, pets and property type, and it paginates through the results and returns every matching listing with full details โ€” so property managers, investors, relocation services and rental aggregators can monitor pricing and availability without manual browsing. You can also paste exact Hotpads listing URLs in direct_urls mode to pull richer per-listing detail (baths, square footage, amenities, description and contact phone).

What data does it extract?

  • Rent price range (price_min, price_max) and bedroom range (beds_min, beds_max)
  • Property/building name and full address
  • Building type and property type
  • Verification badge (is_verified), 3D tour (has_3d_tour) and special offer (has_special_offer) flags
  • Units available and photo URLs
  • Lead score (0โ€“100) ranking listing quality
  • Listing URL, source and scrape timestamp
  • Direct-URL mode extras: bathrooms, square footage, amenities list, description and contact phone

โฌ‡๏ธ Input

Run it two ways โ€” search a city with filters, or pass exact listing URLs:

FieldDescription
modesearch (by city + filters) or direct_urls
locationCity and state, e.g. san-francisco-ca, new-york-ny, chicago-il
propertyTypeapartments-for-rent, houses-for-rent, condos-for-rent, townhomes-for-rent, rooms-for-rent
minPrice / maxPriceMonthly rent range
minBeds / maxBedsBedroom range (0 = studio)
petsAlloweddogs, cats, dogs,cats, or blank for any
listingUrlsExact Hotpads listing URLs (for direct_urls mode)
maxListingsCap the run (1โ€“1000)
includePhotosExtract photo URLs (default on)

Example input

{
"mode": "search",
"location": "san-francisco-ca",
"propertyType": "apartments-for-rent",
"minPrice": 2000,
"maxPrice": 4500,
"minBeds": 1,
"maxBeds": 2,
"petsAllowed": "dogs,cats",
"maxListings": 100,
"includePhotos": true
}

โฌ†๏ธ Output

Every listing is one clean row (view as a table, or export JSON / CSV / Excel):

{
"source": "hotpads.com",
"scraped_at": "2026-06-26T12:00:00.000000",
"url": "https://hotpads.com/123-main-st-san-francisco-ca/pad",
"name": "Luxury Downtown Apartments",
"price_min": 2500,
"price_max": 4500,
"beds_min": 0,
"beds_max": 2,
"address": "San Francisco, CA",
"building_type": "Apartment",
"is_verified": true,
"has_3d_tour": true,
"has_special_offer": false,
"units_available": 12,
"property_type": "rental",
"listing_type": "apartment",
"photos": ["https://photos.hotpads.com/..."],
"lead_score": 85
}

๐Ÿ’ก Use cases

  • ๐Ÿข Property managers: monitor competitor rents, availability and amenities across a metro to price your units right.
  • ๐Ÿ’ฐ Real-estate investors: find rental properties, benchmark yields and spot premium buildings worth analysing.
  • ๐Ÿšš Relocation & moving services: help clients find rentals in a new city and generate warm leads from active searchers.
  • ๐Ÿ“Š Market research & aggregators: track rental trends over time and build comprehensive rental databases.

๐Ÿงฎ How the lead score works

A transparent 0โ€“100 score combining verification (verified listings score higher), listing features (3D tour, special offer), availability (units available) and price point (premium rentals score higher as leads for agents and managers). Use it to sort and work the strongest listings first.

โ“ FAQ

How do I scrape Hotpads rentals? Pick a location (city-state slug like san-francisco-ca) and optional filters for price, beds, pets and property type, then Run. You get structured listings with pricing, beds, photos, verification and a lead score.

How do I format the location? Use the city and state as a lowercase slug, e.g. new-york-ny, los-angeles-ca, chicago-il, houston-tx โ€” it matches the Hotpads URL path. Works with any US city on Hotpads.

Can I scrape specific listing URLs? Yes โ€” set mode: direct_urls and paste Hotpads listing URLs in listingUrls. Detail pages also return bathrooms, square footage, amenities, description and contact phone where available.

Can I filter for pet-friendly rentals? Yes โ€” set petsAllowed to dogs, cats or dogs,cats.

Do I need an API key? No. It reads public Hotpads listing data โ€” just give it a location and filters.

What does the lead score mean? It is a 0โ€“100 quality score (verification, features, availability, price) so you can rank the best listings first. Higher means a stronger, more complete listing.

How many listings can it return? Up to your maxListings cap; it paginates automatically through the search results.

Can I run it on a schedule or via API? Yes โ€” schedule recurring runs in Apify, call it via the API/SDK, or connect it to Make, Zapier or n8n.

Is scraping Hotpads legal? It extracts publicly available rental listing data. Use it responsibly for market research and lead generation, and follow applicable laws and Hotpads' terms.

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