If you're building a property portal, home search app, or any PropTech product that needs listing data, the data is locked behind platforms that block automated access or charge enterprise prices. Specrom gives you pre-scraped, normalized MLS listing data through a clean API. Daily updates. No enterprise contract. No scraper maintenance on your end.
// Sample listing from Specrom Real Estate API { "property_id": "3173751224", "status": "for_sale", "list_price": 3650000, "price_per_sqft": 1471, "description": { "beds": 4, "baths": 4, "sqft": 2482, "type": "single_family", "year_built": 1920 }, "location": { "address": { "line": "1815 E 3rd St", "city": "Brooklyn", "state_code": "NY" }, "coordinate": { "lat": 40.605971, "lon": -73.97002 } }, "photo_count": 22, "flags": { "is_new_listing": true, "is_price_reduced": false } }
Each listing in the feed includes 50+ structured fields covering everything a property portal needs from day one. The data is pre-parsed and normalized — no HTML scraping, no field mapping, no schema surprises.
// Mortgage estimate object "mortgage": { "estimate": { "monthly_payment": 19216, "loan_amount": 2920000, "down_payment": 730000, "monthly_payment_details": [ { "type": "principal_and_interest", "amount": 17415 }, { "type": "home_insurance", "amount": 1186 }, { "type": "property_tax", "amount": 615 } ] } }, // MLS source (required for display compliance) "source": { "name": "Brooklyn MLS", "type": "mls", "listing_id": "499022", "disclaimer": "© 2026 Brooklyn MLS..." }
No scraper infrastructure to maintain. No anti-bot arms race. No front-end breakage when Zillow ships a redesign. Just a REST API that returns clean data.
Query by state, ZIP code, metro area, or bounding box. Filter by listing status, price range, or property type. Paginated responses for bulk pulls.
Ingest listings into your own database and power your search UI. Subscribe to delta feeds to receive only new listings, price changes, and status changes rather than pulling the full dataset daily.
Use coordinates for map display, photo arrays for galleries, description fields for search indexing, and the MLS disclaimer text for display compliance. Everything you need is in the response.
Whether you're building a consumer-facing portal or a B2B analytics product, the same feed powers different integration patterns depending on what you're building.
Pull active listings by metro or ZIP, store in your own database, power your search UI. Use coordinates for map display, photo arrays for galleries, and description fields for search indexing.
Subscribe to daily delta feeds for specific geographies. Get only new listings, price changes, and status changes rather than pulling the full dataset on every refresh cycle.
Use the listing data alongside the three AVM estimates in the feed (Quantarium, Cotality, Collateral Analytics) to show users how listed price compares to independent estimates.
Combine listing coordinates with neighborhood names, school data, flood risk scores, and noise scores to build a rich location context layer around any property.
If you're a developer, the temptation is to scrape directly. Here's what you're actually signing up for.
Zillow and Realtor.com run enterprise anti-bot systems. IP blocks, browser fingerprinting, CAPTCHAs, and silent data poisoning — where detected bots get served fake or corrupted results — are all in play. Bypassing them requires residential proxies, browser automation infrastructure, and constant maintenance as sites update their structure.
Scraper breakage is not a one-time event. Real estate sites update their frontends often enough that you can expect to spend engineering time every month just keeping the scrapers running, not shipping features.
Beyond the infrastructure cost, you're operating in legal gray area. The ToS for major listing platforms explicitly prohibit scraping. For a commercial product, that risk is real.
We've already built and maintained this infrastructure for years. You get the data through a stable API with a consistent schema you can build on.
// What you get with Specrom instead: GET /listings ?state=NY &status=for_sale &min_price=500000 &max_price=2000000 &property_type=single_family // Returns paginated, normalized records: { "total": 4821, "page": 1, "per_page": 100, "listings": [ // ...50+ fields per listing ] }
The feed includes 50+ structured fields per listing: property ID and MLS ID, listing status, list price and price per sqft, days on market, full address, lat/lon coordinates, beds, baths, sqft, lot sqft, year built, property type, stories, photo count and photo URLs, school data (assigned and nearby), and mortgage estimates with full payment breakdowns. MLS source name and disclaimer text are included for display compliance.
The full listing feed refreshes daily. Delta feeds are also available — these deliver only new listings, price changes, status changes, and delistings since the last pull, which is more efficient for products that run daily ingestion jobs.
Yes. The API supports filtering by state, ZIP code, metro area, or bounding box coordinates. You can also filter by listing status (for sale, pending, contingent, coming soon), price range, and property type (single family, condo, townhouse, multi-family, land, and more).
Yes. Each listing record includes the MLS source name, MLS listing ID, and the MLS disclaimer text required for display compliance. This is included in the source object of every record.
A full pull returns all active listings matching your filter criteria. A delta feed returns only records that have changed since your last pull — new listings, price changes, status changes (e.g. pending, sold), and delistings. For products running daily ingestion, delta feeds are significantly more efficient.
Specrom covers major MLS regions across the US, refreshed daily. Coverage is broad but not uniform across every small regional MLS. If you need coverage confirmed for specific metros or ZIP code sets before integrating, reach out and we'll verify availability for your target markets.
Yes. You can request a free sample dataset with no sales call required — just data you can evaluate before committing. We can also provide API trial access so you can make live queries against your target geographies before signing up.
Tell us what you're building and your target markets. We'll send a sample within 24 hours.