Real estate listing data that stays current
The Real Estate Listings dataset collects homes for sale in the markets you name into a structured table of address, price, beds, baths, square footage, and property type. ClickSet fuses public listing sources, links each row to its listing, and refreshes on the schedule you set.
Why work with Real Estate Listings?
Every listing normalized
Price, beds, baths, square footage, and property type arrive in clean columns you can filter and sort.
Catch new and changed listings
Change detection and scheduled refreshes surface new homes and price cuts as they happen.
One row per property
Multi-source fusion reconciles the same home across sites into a single, deduplicated row.
Powering Real Estate Listings
AI-powered web gathering
Describe a column or dataset and ClickSet backfills it from public web sources, with no scraper scripts to maintain.
Multi-source fusion
Combine multiple sources into one clean record with automated deduplication.
Change detection
Monitor sources and log diffs into versioned tables.
Scheduled refresh
Hourly, daily, or weekly re-runs that keep data current.
API access
Every dataset is a live REST endpoint with per-key spend caps.
Who uses this?
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Frequently asked questions
Where do the listings come from? +
Public real estate listing pages and marketplaces, gathered in research mode with a link to each listing.
Can I narrow by market or price? +
Yes. Describe the city, property type, and price range you want and ClickSet builds the table around it.
How fresh is the data? +
On your schedule. A daily refresh keeps prices and days-on-market current and flags removed listings.
Further reading
See how ClickSet handles your data workload
Describe the dataset you need, enrich it with hundreds of LLMs, and query the result through one API. Start on the free plan.