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Proxy for Real Estate Data

Real estate platforms block scrapers more aggressively than most vertical targets. Zillow, Realtor.com, and Rightmove treat automated traffic as a direct threat to their listing monetization — not just a technical nuisance.

Quick answer

Scraping listing data from major platforms — Zillow, Realtor.com, RightmoveBright Data residential — city-level targeting, pool depth for sustained access to protected platforms
Multi-market real estate data at scale with geo variationOxylabs residential — city and ZIP-level targeting across a large pool
Single-market monitoring at moderate request rateDecodo residential — country-level targeting sufficient for lighter scraping workloads

This fits you if

  • Platform restricts listing visibility by user location — city-level residential targeting exposes full local inventory
  • Target uses ASN-based blocking on datacenter ranges — residential IPs required from the first request
  • Scraping detail pages after search results requires session continuity — sticky sessions prevent IP changes that trigger re-verification

When it matters

  • Platform restricts listing visibility by user location — city-level residential targeting exposes full local inventory
  • Target uses ASN-based blocking on datacenter ranges — residential IPs required from the first request
  • Scraping detail pages after search results requires session continuity — sticky sessions prevent IP changes that trigger re-verification
  • Multi-market data collection where each metro requires a distinct IP origin — pool breadth determines geographic coverage

Real estate platforms frequently return partial results to non-local IPs without signaling a block. If listing counts differ between manual browsing and scraped data — the geo-targeting is wrong, not the proxy type.

When it fails

  • Platform requires account login to access full listing data — residential IP doesn't substitute for authenticated access
  • Target tracks search session behavior — rapid pagination across listing pages triggers behavioral detection regardless of IP quality
  • CAPTCHA appears before any search results load — fingerprint or TLS issue, not IP reputation
  • Listing data is loaded via authenticated API calls in the browser — proxies on the HTML layer won't capture this data

Several major real estate platforms gate their full dataset behind login or mobile apps. In those cases, proxy selection is secondary — the access model is the constraint, not the IP layer.

How providers fit

Bright Data fits pipelines where major real estate platforms block standard residential rotation. City and ZIP-level targeting with a large pool ensures geo-accurate listing access. The limitation: billing by GB accumulates quickly when scraping image-heavy listing pages — filter requests to text content where possible.

Oxylabs fits for multi-market real estate data collection requiring precise geo-targeting across many metros. Residential pool with city-level granularity covers most use cases. The limitation: no dedicated real estate scraper API — you're responsible for the extraction layer.

Decodo fits for single-market or lower-frequency real estate monitoring where city-level precision isn't required. Residential pool with country targeting works for lighter workloads. The limitation: block rates increase on heavily protected platforms like Zillow at sustained request volumes.

What's your situation?

Where to go next

Bright Data
Bright Data
Scale with compliance overhead built in
Review
Oxylabs
Oxylabs
Enterprise compliance with the audit trail to prove it
Review
Decodo
Decodo
Mid-market access without enterprise friction
Review