Prompt

What's the best way to collect public real estate listings?

Latest observation

Jul 15, 2026 · OpenAI APIWeb search: off

The best way is usually a mix of official feeds, licensed aggregators, and careful scraping where allowed—not just one method.

Best options, in order of preference

  1. MLS/IDX or brokerage feeds

    • Most complete and structured for U.S. residential listings.
    • Best if you need reliable updates, status changes, and standardized fields.
    • Usually requires licensing or membership.
  2. Listing aggregators / data providers

    • Vendors like Zillow-related APIs, ATTOM, CoreLogic, Redfin-adjacent partners, etc. depending on region and use case.
    • Good if you want broad coverage without building your own scraper network.
    • Check licensing, usage limits, and redistribution rights.
  3. Public government or registry sources

    • Great for property records, tax data, deeds, permits, and sometimes foreclosure/public notice listings.
    • Not always “active listings,” but useful for enrichment and validation.
  4. Website scraping of public listing pages

    • Works when there’s no feed/API and the site allows it.
    • Needs careful handling of:
      • robots.txt and terms of service
      • rate limiting
      • anti-bot measures
      • HTML changes
    • Best for small-scale or highly targeted collection.

Practical recommendation

If you want a production-grade dataset:

  • Use official or licensed sources first
  • Enrich with public records
  • Scrape only as a fallback for gaps

What to store

Typical useful fields:

  • address
  • price
  • listing status
  • beds/baths/sqft
  • property type
  • list date / update date
  • agent/broker
  • photos
  • lat/lon
  • source URL and source timestamp

Important cautions

  • “Publicly visible” does not always mean “free to republish.”
  • Real estate sites often restrict automated collection in their terms.
  • Listings change frequently, so you need deduping and update tracking.

If you want, I can help you choose the best method for your country/region, budget, and whether you need API access or scraping.

Observation history

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How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

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