Platform · Realtor.com

Realtor.com Data Scraping

Most of what Realtor.com shows came from an MLS. Where it came from is part of the record.

Realtor.com data scraping collects public listing pages from the portal run by Move, Inc. (News Corp) under licence from the National Association of Realtors. Its listings come mainly from MLSs and brokerages, and are shown with the listing brokerage and source; that attribution travels with each record. Since September 2026 it also shows pre-market preview listings from other networks, recorded as their own listing_type. Only publicly accessible listing pages are read: no MLS system, agent portal, listing feed or login, and asking prices are never presented as sale prices.

Attribution is not decoration. It is the condition on which the listing was shown.

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Free pilot on your own Realtor.com list, returned in 24 hours. No card, no trial clock — and you keep the sample data either way.

realtor_com_sample.jsonl LIVE FEED

{"listing_type":"sale","asking_price":399900,"listing_brokerage":"as displayed","source_shown":"as displayed"} {"listing_type":"preview","content_partner":"as named","first_seen":"2026-09-18"} {"compensation_offer":null,"inferred":false}

illustrative sample rows · USattributed by design · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Realtor.com or its owners. Realtor.com and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

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Realtor.com at a glance

How we handle Realtor.com specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Portal: Realtor.com — Move, Inc. (News Corp)
Licence: Operated under licence from NAR
Listings: Mainly MLS and brokerage sourced
So: listing_brokerage and source kept
2026: Pre-market previews shown from Sept 2026
Listing types: Sale, preview, coming soon, rental, sold
Asking price: Not a sale price
Refresh: Daily

Platform specifics

Attributed by design

These are the reasons a Realtor.com dataset needs its own handling rather than a shared retail schema.

Source and type

US display rules require listings from MLS data to identify the listing firm. Realtor.com shows that, and often the source MLS.

listing_brokerage and source_shown exactly as displayed.
listing_type — including preview and coming-soon content from partner deals — per record.
content_partner where a listing arrives through a named partnership.
status and status_date as shown; sold prices only where displayed.

Practice changes, and what we do not do

Practice changes

Since August 2024, MLSs no longer carry buyer-agent compensation offers; such fields are not expected and not inferred. Delayed-marketing listings may appear later than other channels; recorded by first-seen date.

MLS

MLS systems are credentialed, licensed environments and are never accessed, as the real estate hub sets out.

What we do not do

Strip attribution, infer compensation or sale prices, collect agent personal data, republish photos or descriptions, or use logins.

Scope

What we collect on Realtor.com, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

Public listing pages only
Listing brokerage and source as shown
Listing type per record
Content partner where named
Status and status date
Sold prices only where displayed
First-seen dates
Deduplication across portals
Daily refresh

❌ What we do not, and why

MLS systems, IDX feeds or logins
Attribution stripped
Compensation or sale prices inferred
Agent personal data
Listing photos or descriptions republished

Core Realtor.com fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
listing_id / url	As published
listing_type	sale, preview, coming_soon, rental, sold
asking_price / currency	USD
status / status_date	As shown
listing_brokerage	As displayed
source_shown	As displayed
content_partner	Where named
first_seen	Date
attributes	As published
dedupe_key	Cross-portal
observed_at	Timestamp

Use cases

What teams do with Realtor.com data

Inventory tracking

Attributed, by market.

Pre-market analysis

Preview and coming-soon volumes.

Portal coverage comparison

Against Zillow and Redfin.

Brokerage share

By listing brokerage, as displayed.

The 24-hour sample — run on your sources, not ours

Send us a Realtor.com item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

REST endpoints on the same pipeline, with sandbox keys for testing.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A fixed-scope extraction for a single project or research question.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Pricing is quoted individually, based on category scope, number of markets, cadence and ongoing identity maintenance. After a scoping call and free pilot, we quote a fixed monthly figure, with no per-request metering.

Book a 20-min scoping call Request a quote Talk to an engineer

Realtor.com is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Realtor.com data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what real estate data covers, and a Realtor.com-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

Realtor.com data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

Move, Inc., a News Corp subsidiary, under licence from NAR.

Mainly MLSs and brokerages. We keep the attribution shown.

Never. Only public pages.

Yes, as their own listing type.

No.

It depends on markets and refresh.

Talk to us.

See real Realtor.com data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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