Public listing data from Zillow, Redfin, Realtor.com, and other major portals. Address-level facts, price history, agent metadata, and market metrics — delivered as CSV or JSON on your schedule, scoped to your ZIPs or regions.
Public listing data falls under the hiQ v. LinkedIn precedent in US federal law — scraping publicly accessible pages does not violate the CFAA. Zillow's Terms of Service separately prohibit scraping; that is a civil contract issue. Real estate listing data has additional layers — MLS rules, broker reciprocity (IDX) agreements, and copyright on photos. We extract structured listing facts (which are not copyrightable) and route image-heavy use cases through licensing rather than scraping.
Zillow updates listings on a several-times-per-day cadence; we can match that rhythm or run a daily snapshot for most use cases. High-velocity targets (price changes, new listings) get hourly polling on a defined ZIP / region list.
Yes. Most engagements are scoped by ZIP, MSA, or a custom region polygon. Coverage depth (active listings, sold history, FSBO inclusion) is a separate scoping question — we run a sample on your target region first.
Zestimate is a Zillow-proprietary value. We can capture the displayed value as a field, but we don't reverse-engineer or republish the model. For underwriting use cases, clients typically pair public listing data with their own valuation model.
CSV, Excel, JSON, or direct database load. Free CSV sample first, then recurring delivery on your schedule via email, S3, webhook, or SFTP.
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