Real Estate Data Scraping Services, Fully Managed

Track listings, prices, and property attributes across portals, brokerages, and public records. We run the crawling, the anti-bot work, and the QA. You get clean property data, ready for underwriting and analytics.

Hourly listing and price tracking.
New listing and price-drop alerts.
24/7 monitoring.
750+
enterprise clients
2,500+
projects delivered
14+ years
of data engineering

Live Pipeline

SourceListing portals & public records
ExtractCrawl + anti-bot handling
Address matchingMatch, dedupe & normalizeAI LAYER
QATwo layers of validation
Your stackCMA tools, analytics, warehouse
Trusted by enterprise teams worldwide
CMMI Level 3
ISO 27001:2022
GDPR
ISO 9001

Property Data That's Stale the Moment You Pull It

Manual pulls and brittle scripts can't keep up with a market where listings, prices, and status change by the hour.

Listings turn over faster than manual pulls can track.

A home can list, draw offers, and go under contract within a week. A weekly export misses most of that story.

Listing portals block and throttle scrapers constantly.

Every portal redesign or new block means more proxies and more engineering hours spent keeping a scraper alive.

The same property looks different on every source.

Addresses, unit numbers, and property IDs are formatted differently on each portal and county site, so one home becomes three records.

Off-market shifts and price history get caught too late.

By the time a price cut or a delisting shows up in a report, the opportunity has usually gone to someone faster.

End-to-End Managed Real Estate Data Pipelines

You choose the markets, sources, and cadence.

New listings, price changes, and status updates arrive on your schedule, hourly if acquisitions require it.

Blocking on listing portals and brokerage sites is ours to handle and pay for.

Every property is matched by address, deduplicated, and validated across sources.

Data lands in your comparative market analysis (CMA) tool, analytics platform, or warehouse, ready to use.

Turn Any Listing Source Into Structured Property Data

Tell us the markets and fields you need. Here's where most engagements start.

Listing prices & status
List price, sale price, price per sq ft, listing status, days on market, listing date
Property details & specs
Address, property type, beds, baths, square footage, lot size, year built, parking, amenities
Price history & market trends
Past list and sale prices, price change dates, median prices by ZIP code, inventory levels
Agent & brokerage info
Listing agent, brokerage name, office location, public business contact details, active listing count
Rental listings & rates
Monthly rent, deposit, lease terms, availability date, unit type, amenities
A custom market source
Any public property site. Tell us the fields and we'll scope it.
Talk to a data expert →

Sources We Scrape, From Listing Portals to Public Records

Listing portals

Public-facing sites listing homes and rentals for sale or lease, covering pricing, status, and photos.

Brokerage & agent sites

Property pages and agent rosters pulled directly from brokerage and agent-owned sites.

County & public records

Deeds, tax assessments, permits, and ownership history pulled from public record sources.

Rental platforms

Rental listings, pricing, and availability across long-term and short-term rental platforms.

Need property data pulled through your own code? Explore our Real Estate Data API

Predefined Schemas for Real Estate
214 Maple St, Springfield, IL
Single Family · Colonial
● For SaleListed 3 days ago
Specs
3 beds
2 baths
1,850 sq ft
0.25 acres
$412,000
Est. mortgage $2,140/mo
Agent: J. Alvarez, Example Realty
View full listing
What you receive
property_id: SPR-IL-214MAPLE
address: 214 Maple St, Springfield, IL 62704
list_price: 412000
beds: 3
baths: 2
sqft: 1850
lot_acres: 0.25
status: for_sale
days_on_market: 3
brokerage: Example Realty
scraped_at: 2026-09-28 09:00 UTC

Real Estate Data We Collect and Monitor

Hourly listing & price tracking

Track new listings, price cuts, and status changes as often as hourly.

Coming-soon & off-market signals

Spot coming-soon listings on brokerage sites, relistings, and homes taken off the market, often before portals show the change.

Address matching & normalization

One clean record per property, matched and deduplicated across sources.

Comps & market trend data

Comparable sales, historical prices, and market trends, ready for valuation models.

Agent & brokerage extraction

Agent rosters, listing counts, and public business contact details from brokerage sites.

Rental & vacancy tracking

Asking rents, concessions, and days on market across rental platforms, to track vacancy by building or ZIP code.

Commercial property listings

Office, retail, industrial, and multifamily listings with asking rent, size, and zoning fields.

New construction & builder data

Floor plans, base prices, and community details from home builder websites.

Foreclosure & auction listings

Pre-foreclosure, auction, and bank-owned listings from public auction sites and county notices.

sample_dataset.json
AI-structuredvalidated
addresspricestatus
214 Maple St, Springfield$412,000for_sale
88 Birchwood Ave, Austin$589,900pending
12 Harbor Ln, Tampa$1,240,000for_sale
450 Elm Ct, Denver$375,000sold

Structured, typed, and ready to load, not raw HTML.

Who Uses Our Real Estate Data

Real estate investors & iBuyers

Off-market signals and price trends, updated as often as your models need.

PropTech & analytics platforms

Listing, sales, and rental data across the markets you cover, feeding your valuation and comps engines.

Brokerages & agent teams

Competitive listing visibility across every portal you compete on.

Mortgage & lending teams

Property and ownership data to speed up underwriting workflows.

Why Real Estate Teams Choose Us Over Building In-House

No scraper maintenance: portals redesign pages and change data formats often. Fixing breakage is our job, so your engineers stay on your product.
No proxy or anti-bot spend: proxies and blocking are handled inside our fixed price, with no separate bill that grows as portals tighten their defenses.
No address-matching backlog: the same home appears with different addresses, unit formats, and IDs on every source. We deliver one matched record per property.
County records without the manual work: every county formats deeds, tax, and permit records differently. We collect them and bring them into one schema.
One accountable owner: a named contact who answers for delivery against a written SLA.

An SLA You Can Hold Us To, in Writing

Every engagement includes contractual commitments on uptime, listing freshness, and address-match accuracy, with reporting against each one.

99.9%
Pipeline uptime

Monitored and reported, not promised.

Hourly
Fastest listing refresh

As often as your acquisitions team needs.

99%+
Address match accuracy

Validated across sources. Measured on a sample of matched properties checked by an analyst each delivery cycle.

1
Named account contact

A real owner, not a ticket queue.

Enterprise-Grade Security and Compliance

ISO 27001:2022 and ISO 9001 certified, CMMI Level 3 appraised, and GDPR compliant.

Azure-hosted, with AWS, GCP, and private-cloud support.

Full data ownership: every dataset is yours, with IP transfer written into the contract.

Encrypted in transit and at rest, with role-based access and full audit logs.

CMMI Level 3
ISO 27001:2022
GDPR
ISO 9001

Questions Real Estate Teams Ask Us

How do you handle anti-bot systems on listing portals?

Anti-bot handling is part of the managed service. We manage proxy rotation, browser fingerprinting, rate control, and CAPTCHA flows on major listing portals, and adjust our approach as defenses change.

Can you match the same property across different sources?

Yes. Our AI structuring layer normalizes and matches addresses across sources, so you get one clean record per property instead of raw per-site listings. Match accuracy is validated across sources and covered by the SLA.

How fresh is listing and price data?

Refresh cadence is scoped to your needs, down to hourly where acquisition decisions require it, with contractual freshness commitments in the SLA.

What sources and markets can you cover?

Listing portals, brokerage and agent sites, rental platforms, and county and public record sites, across the US, Canada, and the EU wherever the data is publicly available. If the data is publicly visible, we can scope it.

Can you collect data from Zillow, Realtor.com, and Redfin?

We can scope any public listing portal, including Zillow, Realtor.com, and Redfin. Each portal is reviewed before collection, and we collect only listing data that is publicly visible without logging in. Some portals restrict automated collection in their terms, so we confirm what is possible for each source during scoping.

Is real estate data scraping legal?

Collecting publicly listed property data is generally lawful in the US, the EU, and the UK. We collect only data that is visible without logging in, respect robots.txt directives and site terms, and review each source before collection. Owner names and agent contact details count as personal data in some regions, so we collect them only when your use case needs them and the legal basis is documented.

How is pricing structured?

Pricing is scoped to your markets, listing volume, and refresh cadence. After a short scoping call and a free sample, you get a clear, written quote with an SLA.

What formats and delivery options do you support?

JSON, CSV, XML, or Excel files, delivered to a REST API endpoint, Amazon S3, Azure Blob Storage, Google Cloud Storage, Snowflake, or SFTP on your schedule. Field names and structure are set to match your schema.

How is this different from your Real Estate Data API?

Use the managed service when you need specific markets, custom fields, county records, or matching to your own property list. Use the Real Estate Data API when you want standard listing and property fields on demand, pulled through your own code. Many clients use both.

Tell us what property data you need. We'll send a free sample.

A short scoping call, a sample dataset to judge for yourself, and a clear quote. Nothing to install, no commitment to start.