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.
Why Choose WebScrapingHub for Homes.com Scraping?
🛡️ CoStar Anti-Bot Bypass
Homes.com is backed by CoStar Group's enterprise infrastructure with advanced bot detection and CAPTCHA layers. Our rotating residential proxy pools and browser fingerprint spoofing ensure consistent, high-volume extraction without IP bans or throttling.
🔄 Automated Daily Feed Refresh
New listings, price reductions, and sold status changes are captured on scheduled daily or hourly cycles. Your dataset stays current with zero manual intervention or engineering overhead on your end.
📊 Agent Lead Verification
Agent phone numbers and emails extracted from Homes.com are cross-verified against NAR licensing databases to maximize lead quality and reduce bounce rates in outreach campaigns.
⚡ 24-Hour Turnkey Deployment
Submit your target cities, ZIP codes, or property types and receive your first structured CSV or API feed within 24 hours. No engineering setup is required on your end.
Who Uses Homes.com Property Data?
🏢 PropTech & AVM Platforms
Automated Valuation Model (AVM) platforms ingest daily Homes.com feeds to calibrate machine learning models against real-time asking prices, price reduction histories, and sold comps.
📧 Real Estate Lead Generation
Mortgage brokers, title companies, and B2B software vendors extract verified listing agent emails and direct cell phones to build hyper-targeted outreach campaigns at scale.
📈 Investment Research Funds
Institutional funds analyze Homes.com asking price trajectories, HOA fee distributions, and days-on-market velocity across target US metros for portfolio acquisition screening.
🏠 Appraisal & Comps Analysis
Appraisal firms and AMCs (Appraisal Management Companies) use Homes.com comps feeds to cross-reference MLS data and validate property value estimates for underwriting.
Homes.com Data Delivery Formats & Integration
WebScrapingHub configures Homes.com data pipelines to match your exact infrastructure requirements. Whether you need a one-time bulk export or a continuous automated feed, we handle the full extraction-to-delivery pipeline:
- CSV / Excel (.xlsx): Flat-file exports delivered via email, SFTP, or cloud storage on your defined schedule.
- JSON REST API: Query our managed API endpoint by city, state, ZIP code, or property type to receive paginated JSON responses with full listing details.
- Google Sheets Integration: Auto-refresh linked Google Sheets with new Homes.com listings, price changes, and status updates on a daily cadence.
- PostgreSQL / MySQL Database: Direct database insertion with schema-matched table structures and incremental upsert logic for immediate querying.
- AWS S3 / Google Cloud Storage: Automated Parquet or CSV file uploads to your cloud bucket with configurable date partitioning for data lake pipelines.