🏡 Homes.com Property Intelligence API

Homes.com Data Scraper & API

Extract Homes.com property listings, listing agent direct cell phones, office emails, neighborhood school scores, price history, and property photos in real-time.

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Automate Real Estate Research with a Homes.com Scraper

Homes.com (part of CoStar Group) has rapidly grown into one of the largest residential property portals in North America, featuring millions of active homes for sale, rental properties, and broker directory contacts. For real estate investors, lead generation teams, PropTech platforms, and appraisal analysts, Homes.com provides unique agent listing contacts and comprehensive MLS property details.

Our managed homes.com scraper automates property extraction across target US cities, counties, and ZIP codes. Built with enterprise IP rotation and Cloudflare anti-bot bypass, WebScrapingHub delivers structured datasets straight to your CSV files, Google Sheets, PostgreSQL database, or REST API endpoint with zero maintenance hassle.

Homes.com Data Fields Extracted

🏡 Property Listing Attributes

  • USPS Standardized Address & APN Parcel
  • Asking Price & Price Cut History
  • Beds, Baths, Living Area SqFt, & Lot Acreage
  • Property Type (Single Family, Condo, Townhouse)
  • HOA Dues, Property Tax, & Year Built

👤 Listing Agent & Brokerage Leads

  • Listing Agent Full Name & Direct Phone
  • Brokerage Firm Name & Office Location
  • Agent Office Email Address
  • Agent License Number (NMLS / DRE)
  • High-Resolution Property Photo URLs

Homes.com to Excel & Database Sync

Whether you require a daily batch file exported into Homes.com to Excel or real-time webhooks feeding your internal CRM system, WebScrapingHub configures automated data pipelines to match your tech stack.

Frequently Asked Questions about Homes.com Web Scraping

Yes! Homes.com features prominent agent contact listings. Our scraper extracts agent names, phone numbers, office emails, and brokerage names.

Yes. Extracting publicly accessible factual property listings is legal under U.S. federal court precedent (hiQ Labs v. LinkedIn).

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