US real-estate data: Zillow, Redfin, Realtor
Proptech products, investors and appraisal-model teams pull listings, price history and comps from Zillow, Redfin and Realtor.com — three of the most aggressively defended targets on the US web. This is a managed-API-first scenario.
Top-6 providers for this task
PROXYDECK editorial estimate based on tests over the past 6 months. We weighed success rate on this exact target, price, use-case tolerance, and compliance.
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How to set up — step by step
1. Respect the difficulty tier
Zillow runs PerimeterX-class bot defense: raw datacenter dies instantly and even rotating residential needs full browser fingerprints. Unless scraping infra is your product, a scraping API that bills per successful page (ScraperAPI, Zyte, Bright Data Unlocker) is cheaper than the engineering time an in-house bypass burns every month.
2. ZIP-pin your geo
Listing availability and "Zestimate"-style figures render regionally. Pull each market from an IP (or API geo parameter) inside the metro you are modeling — a national crawl through one exit node skews inventory counts.
3. Track deltas, not snapshots
The value is in change events: price cuts, days-on-market, delistings. Crawl the search index daily, but fetch detail pages only for listings whose summary hash changed — this cuts request volume by an order of magnitude and keeps you under rate-limit radar.