Prompt
What's the best way to collect public real estate listings?
Latest observation
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
-
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.
-
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.
-
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.
-
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.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.