Get the Zillow listing data you need without writing or maintaining a scraper. Specrom handles extraction, anti-bot evasion, and normalization. You get 50+ clean fields per listing — property details, Zestimate, agent contacts, price history, photos, and more — delivered via REST API or CSV. US-wide. Daily updates. Starting at $99.
// Zillow listing — Specrom structured output { "zpid": "3173751224", "status": "for_sale", "list_price": 3650000, "zestimate": 3480000, "days_on_market": 12, "price_per_sqft": 1471, "address": "1815 E 3rd St, Brooklyn NY 11223", "bedrooms": 4, "bathrooms": 4, "livingArea": 2482, "latitude": 40.605971, "longitude": -73.97002, "propertyTaxRate": 0.00202, "photo_count": 22, "listingProvider": { "agentName": "Sarah Kowalski", "companyPhone": "212-555-0184" } }
Zillow surfaces a wide range of property and agent data with each listing. Specrom extracts all of it, normalizes it into a consistent schema, and delivers it ready for your database, analytics pipeline, or application.
// Agent fields — from Zillow listing data "listingProvider": { "agentName": "Sarah Kowalski", "zillowAgentScreenname": "skowalski_bk", "zillowAgentProfileUrl": "https://zillow.com/...", "reviewCount": 48, "ratingValue": 4.9, "licenseNumber": "NY-10049281", "companyName": "Keller Williams NYC", "companyPhone": "212-555-0184", "mobileNumber": "917-555-0291", "directEmail": "s.kowalski@kwnyc.com" }, // Price and Zestimate history "priceHistory": [ { "date": "2026-02-16", "price": 3650000, "event": "Listed for sale" }, { "date": "2025-11-03", "price": 3800000, "event": "Listing removed" } ]
Zillow runs enterprise anti-bot infrastructure. Bypassing it reliably requires residential proxies, browser automation, and constant maintenance. We handle all of that so you don't have to.
Tell us your target markets — city, state, ZIP code, or metro area — and any filters you need: listing status, price range, property type, or agent data only. One-time or recurring.
Our infrastructure handles residential proxies, browser fingerprinting, CAPTCHA solving, and pagination across Zillow's search and listing pages. Data is validated before delivery.
Get clean, normalized records via REST API (JSON) or bulk file delivery (CSV or Parquet). Push to your database, S3 bucket, or analytics tool. Same schema every time, regardless of how Zillow updates their front-end.
Zillow is the largest real estate marketplace in the US. The data it surfaces — listings, prices, Zestimates, agent profiles — is useful across a wide range of commercial applications.
Build a consumer-facing property search product on top of Zillow listing data. Use coordinates for map display, photos for galleries, and the full description and feature set for search indexing and filtering.
Track list prices, Zestimates, days on market, and price change events across any metro or ZIP code. Build market heat maps, price trend dashboards, and neighborhood-level analytics.
Extract agent and brokerage contact data alongside listing records. Filter by market, price range, and listing volume to build segmented outreach lists of actively working agents.
Use Zestimate history alongside list price and days-on-market data to identify properties where market price diverges from Zillow's valuation estimate. Filter for price reductions, long-DOM listings, and relisted properties.
Subscribe to daily delta feeds for specific ZIP codes or metro areas. Receive only new listings, price changes, status changes, and delistings — without pulling the full dataset on every refresh.
Most developers who need Zillow data start with a DIY scraper. It works for a day or two, then either silently starts returning empty results or throws 403s. Here's what's happening.
Zillow runs one of the more sophisticated anti-bot systems in the real estate category. They fingerprint browser sessions, track request timing and mouse movement patterns, flag datacenter IP ranges entirely, and rotate CAPTCHAs. The most insidious part is silent data poisoning — detected bots often don't get an error response. They get served empty result sets or manipulated data that looks real. Your scraper thinks it's working. The data you're collecting is worthless.
Even if you solve the detection problem with residential proxies and browser automation, you've taken on a permanent maintenance burden. Zillow updates their front-end regularly. Class names change, GraphQL endpoint response shapes shift, new authentication patterns get added. Every update is a potential breakage in your pipeline. Real engineering teams know the feeling of a scraping job going silent over a weekend.
Specrom handles all of this infrastructure. You get a stable API with a consistent schema — regardless of whatever Zillow pushed to production last Tuesday.
// What a working query looks like // via Specrom — no proxies needed on your end GET /zillow/listings ?location=Brooklyn, NY &status=for_sale &min_price=500000 &include_agent_data=true // Returns paginated, normalized records: { "total": 1847, "page": 1, "listings": [ // zpid, price, Zestimate, beds, // baths, coordinates, agent data, // photos, schools ... 50+ fields ] }
Yes. The Zestimate (Zillow's automated valuation estimate) is included per listing alongside the list price, giving you both values in the same record. Zestimate history — showing how the estimated value has changed over time — is also available in the property history fields.
Yes. Agent data extracted from Zillow listings includes agent name, Zillow profile URL, Zillow screenname, review count and rating, real estate license number and state, company name, company address, phone numbers (office, mobile, direct where available), email addresses, and social media URLs where listed in the Zillow profile.
US-wide. You can query by city, state, ZIP code, metro area, or bounding box coordinates. Coverage is broad across major US markets. For specific coverage confirmation in less common areas before ordering, reach out and we'll verify.
The feed refreshes daily. For recurring customers, delta feeds are available — these deliver only changed records (new listings, price changes, status updates, delistings) since the last pull, rather than requiring a full dataset refresh each time.
A one-time pull is a single snapshot of all active listings matching your criteria at the time of the order — priced from $99. A recurring feed delivers updated data on a daily, weekly, or monthly schedule, with volume discounts for ongoing subscriptions. Delta feed delivery is available for recurring customers to minimise data transfer.
Yes. The listing status flags include is_price_reduced, and the price change history field shows the date and amount of each price change. You can filter for price-reduced listings directly through the API, or filter the bulk dataset by the price change fields after delivery.
Yes. Request a free sample dataset through the form below — no sales call, just data you can evaluate. Tell us your target market and we'll pull a representative set of records so you can assess field quality and completeness before committing.
Tell us your target markets and requirements. We'll respond within 24 hours with a free sample and a custom quote.