Hotpads Rental Scraper - Apartments & Housing Data

Hotpads Rental Scraper - Apartments & Housing Data

by benthepythondev

Extract rental listings from Hotpads.com. Scrape apartments, houses, condos with pricing, beds/baths, photos, and amenities. Filter by location, price...

7 runs
2 users
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Opens on Apify.com

About Hotpads Rental Scraper - Apartments & Housing Data

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.

What does this actor do?

Hotpads Rental Scraper - Apartments & Housing Data is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

Hotpads Rental Scraper Extract rental listings from Hotpads.com - one of the largest rental marketplaces in the US with millions of apartments, houses, and rooms for rent. ## Features - Location-Based Search: Search any US city or metro area - Property Type Filtering: Apartments, houses, condos, townhomes, rooms - Price Range Filters: Set minimum and maximum rent - Bedroom Filters: Filter by number of bedrooms - Comprehensive Data: Prices, photos, amenities, and property details - AI-Powered Lead Scoring: Quality assessment for each listing - Photo Extraction: Get listing photos with direct URLs - Pagination Support: Automatically scrapes multiple pages ## Output Data Each listing includes: | Field | Description | |-------|-------------| | url | Direct link to the listing | | name | Property/building name | | address | Full property address | | neighborhood | Neighborhood name | | price_min | Minimum rent price | | price_max | Maximum rent price | | beds_min | Minimum bedrooms available | | beds_max | Maximum bedrooms available | | baths_min | Minimum bathrooms | | baths_max | Maximum bathrooms | | property_type | Type of rental | | amenities | List of amenities | | photos | Array of photo URLs | | is_verified | Verification status | | has_3d_tour | 3D tour availability | | has_video_tour | Video tour availability | | accepts_section_8 | Section 8 acceptance | | is_income_restricted | Income restrictions | | lead_score | AI quality score (0-100) | | scraped_at | Timestamp | ## Use Cases - Property Managers: Monitor competitor pricing and availability - Real Estate Investors: Find rental properties and analyze yields - Relocation Services: Help clients find rentals in new cities - Market Research: Track rental trends and pricing - Rental Aggregators: Build comprehensive rental databases - Moving Companies: Generate leads from people seeking rentals ## Lead Scoring Algorithm Each listing receives an AI-generated lead score (0-100) based on: - Verification (25 pts): Verified listings are more reliable - Media Quality (25 pts): Photos, 3D tours, video tours - Price Point (20 pts): Higher-value rentals score better - Amenities (15 pts): More amenities = premium listing - Completeness (15 pts): Full details indicate professional landlord ## Example Output json { "source": "hotpads.com", "url": "https://hotpads.com/123-main-st-san-francisco-ca/pad", "name": "Luxury Downtown Apartments", "address": "123 Main St, San Francisco, CA 94102", "neighborhood": "Financial District", "price_min": 2500, "price_max": 4500, "beds_min": 0, "beds_max": 2, "baths_min": 1, "baths_max": 2, "property_type": "apartment", "amenities": ["In-unit laundry", "Gym", "Rooftop", "Doorman"], "photos": ["https://photos.hotpads.com/...", ...], "is_verified": true, "has_3d_tour": true, "lead_score": 85, "scraped_at": "2025-12-10T12:00:00.000Z" } ## Input Parameters | Parameter | Type | Description | |-----------|------|-------------| | location | string | City and state (e.g., "san-francisco-ca", "new-york-ny") | | propertyType | string | apartment, house, condo, townhouse, room | | minPrice | integer | Minimum monthly rent | | maxPrice | integer | Maximum monthly rent | | minBeds | integer | Minimum bedrooms (0 for studio) | | maxBeds | integer | Maximum bedrooms | | maxListings | integer | Maximum listings to scrape (default: 100) | | includePhotos | boolean | Extract photo URLs (default: true) | ## Supported Cities Works with any US city on Hotpads, including: - New York, NY - Los Angeles, CA - San Francisco, CA - Chicago, IL - Houston, TX - Phoenix, AZ - Philadelphia, PA - San Antonio, TX - San Diego, CA - Dallas, TX - And 1000+ more cities ## Integrations Export your data to: - JSON, CSV, Excel - Google Sheets - Webhooks - API endpoints - Zapier, Make, n8n ## Legal & Compliance This scraper extracts publicly available rental listing data from Hotpads.com. Users are responsible for ensuring their use complies with applicable laws and terms of service. The data is intended for legitimate business purposes such as market research and lead generation. ## Support Having issues? Contact the developer or open a support ticket on Apify.

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

Ready to Get Started?

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Actor Information

Developer
benthepythondev
Pricing
Paid
Total Runs
7
Active Users
2
Apify Platform

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