For years, real estate data lacked consistency – every MLS operated on its own terms, making integrations costly, slow, and hard to scale for tech companies and brokerages alike.
The Real Estate Standards Organization (RESO) was created to fix that fragmentation, giving real estate a shared data language and a modern way to move information. Its standards are now powering a quiet but transformative shift across the entire ecosystem – from MLSs and brokerages to startups and data platforms.
Overview of RESO Data Dictionary and Web API
RESO’s two cornerstone standards are:
RESO Data Dictionary: A universal schema for structuring real estate data – essentially, a shared vocabulary for everything from property types and listing statuses to features and measurements. It defines standard field names, accepted values, and relationships so that everyone speaks the same data language.
RESO Web API: A modern, RESTful data exchange protocol that replaces the older RETS format. Built on widely used web standards like OData and JSON, the RESO Web API makes it easier for developers to build and scale applications that connect to MLS systems – without custom connectors or legacy baggage.
Together, these standards simplify integrations, improve data consistency, and open up the industry to faster, cheaper innovation.
The Industry Push Toward Standardization
Standardization isn't just a nice-to-have anymore – it's a mandate. In 2016, the National Association of REALTORS® required MLSs to implement RESO’s Data Dictionary and Web API, accelerating adoption across the country. Today, over 500 MLSs are RESO certified, and over 90% offer Web API feeds. Brokerages, tech vendors, and data platforms have followed suit.
This push isn't just about compliance. It’s about survival in an industry that’s rapidly modernizing. With standardized data, companies can:
Expand into new markets faster
Reduce development and support costs
Offer better, more consistent tools to agents and consumers
Innovate with less friction and more speed
In short, RESO standards are the new baseline – and the businesses that embrace them through innovative Real Estate Software Development are the ones best positioned to lead the next era of real estate technology.
While RESO standards are now widespread, their true value shines through in real-world business outcomes. Across the industry, companies are reporting faster integrations, lower costs, greater flexibility, and accelerated innovation after implementing the RESO Data Dictionary and Web API. Here are three standout examples:
Case 1: myTheo – Scaling Faster into New Markets
myTheo is a real estate tech startup offering tools for agents and brokerages to manage listings, clients, and deals. As it looked to grow into larger markets, it ran into a major barrier: data fragmentation. Every MLS (Multiple Listing Service – a regional database of real estate listings) had its own format, structure, and rules. Integrating into each one took weeks of custom work.
Two of the biggest targets – CRMLS (California Regional MLS, the largest MLS in the U.S. with over 100,000 users) and MRED (Midwest Real Estate Data, serving the Chicagoland area) – each had massive datasets and strict requirements.
To scale faster, myTheo adopted RESO standards early – specifically the RESO Data Dictionary (a standard set of field names and values for property data) and the RESO Web API (a modern, RESTful way to exchange data).
The result: Launch time in new markets dropped from nearly two months to just a few weeks. With a standardized approach, integrations became repeatable, onboarding got smoother, and MLS partnerships strengthened. For a startup in growth mode, RESO made expansion predictable and scalable.
Case 2: Homes.com – Turning Data Chaos into Efficiency
Another strong example comes from Homes.com, one of the largest national portals.That means pulling in listing data from hundreds of different MLSs – each with its own quirks. Managing these feeds wasn’t just time-consuming – it was resource-draining.
Before adopting RESO standards, building or updating an MLS feed could take 25 hours or more. The team was constantly translating formats, remapping fields, and dealing with inconsistencies.
By aligning with the RESO Data Dictionary and Web API, Homes.com standardized how it handled all incoming data. Instead of reinventing the process each time, they created a repeatable pipeline.
The impact was dramatic: Development time dropped to 16 hours per feed, and in many cases, just 2 hours with the Web API. That kind of efficiency meant lower costs, fewer errors, and more time for product innovation. It also set a blueprint for how other large platforms could operate at scale using RESO.
Case 3: Doorify MLS – Building a Flexible, Future-Ready Platform
Doorify MLS, previously known as Triangle MLS, serves real estate professionals in North Carolina. Like many MLSs, it operated on a legacy platform that limited flexibility. Adding new features or switching vendors meant costly, time-consuming projects.
Doorify decided to modernize – but instead of locking into another single-vendor platform, they chose a standards-first approach. By building on the RESO Data Dictionary and Web API, they created a modular architecture where tools and interfaces could be swapped in and out without disrupting the system.
This gave them full control over their ecosystem – brokers and agents could use the best tech available, not just whatever the platform provider offered. And Doorify could innovate without waiting on a vendor roadmap.
In short: RESO gave them flexibility, speed, and leverage. It turned their MLS from a closed system into an open platform for growth.
RESO Impact Case Studies
Organization/Project
Challenge
RESO Solution & Outcome
myTheo
Fast, scalable MLS integration
30–40% faster market launches, improved trust
Homes.com
High MLS integration costs
92% reduction in dev time, major cost savings
Doorify MLS
System modularity and flexibility
Standardized foundation, easier upgrades
Technology Innovation Trends Around RESO Standards
RESO standards are moving faster than ever to meet the real-world demands of brokers, MLSs, and tech companies.
One major shift is in the RESO Web API itself. Originally designed just for pulling data, it now supports full write operations. Thanks to the new Web API Add/Edit endorsement, brokers can push new listings, update price changes, and manage properties directly from their own platforms – no more depending on clunky proprietary interfaces. Organizations like the Real Estate Board of New York (REBNY) were first out of the gate, rolling out full Add/Edit functionality through the RESO API in 2023. It’s a practical step toward giving brokers a true "front-end of choice", letting them control listings through the tools they already use. More MLSs and vendors are following fast.
Validation is getting smarter too. Alongside Add/Edit, RESO introduced Validation Expressions – machine-readable business rules baked into the API – so platforms can automatically enforce clean, accurate data inputs (think: no more listings accidentally posted with a $0 price tag).
Real-time data updates are another leap forward. With the new EntityEvent/Webhooks endorsement, MLSs can instantly notify partners when data changes, rather than forcing vendors to keep polling for updates. It’s faster, lighter, and more efficient – exactly what modern software demands.
Meanwhile, RESO’s innovation engine keeps expanding. The launch of the RESO Common Format (RCF) in 2024 makes it possible to share real estate data cleanly across different systems, even if they’re not using the Web API. Early adopters like Canada’s Municipal Property Assessment Corporation (MPAC) are proof: RESO standards are breaking out of the MLS world into government and broader real estate ecosystems.
The RESO Data Dictionary also continues to evolve. New fields like CurrentPrice and expanded support for multi-family and building-level attributes show how the standard is adapting to the increasing complexity of the market. Standardizing how photos, videos, and floor plans are handled is next – something brokers and vendors have been asking for, and RESO is already building with the upcoming Add/Edit with Media update.
A big focus is interoperability through unique identifiers. RESO is pushing out standards like the Universal Parcel Identifier (UPI), the Unique Licensee Identifier (ULI), and the Unique Organization Identifier (UOI). These IDs will make it much easier to track properties, agents, and brokerages across MLSs, markets, and software platforms – no more patchwork matching or duplicate records. It’s all about frictionless data flow in a business where speed and accuracy make a real difference.
And it doesn’t stop there. As AI moves deeper into real estate, RESO is keeping pace by building standards that AI tools can rely on – from flagging AI-generated images to creating consistent descriptors for 3D tours and property features. RESO also invests in analytics tools that help organizations measure how closely they align with industry standards, giving leaders better insight into their data quality and competitive position.
Bottom line: RESO is future-proofing real estate data. The technology foundation it’s building – with real-time APIs, full data edit capabilities, clean interoperability, and AI-readiness – is setting the stage for faster, smarter, and more connected real estate businesses.
Key Trends in RESO Standards
Trend
What’s Happening
Business Impact
Modern API Capabilities (Add/Edit, Validation, Webhooks)
RESO Web API now supports full write operations (Add/Edit), smart validation rules, and real-time data updates via webhooks.
Brokers and vendors can control listings directly, reduce manual errors, and get faster, more efficient data updates.
Expansion with RESO Common Format (RCF)
New format-agnostic data schema (RCF) allows clean data exchange even outside traditional Web API setups. Early adoption by non-MLS organizations like MPAC in Canada.
Expands RESO standards into broader ecosystems beyond MLSs, creating more interoperability and new opportunities for real estate data services.
Continuous Evolution of the Data Dictionary
New fields like CurrentPrice and better support for building and multi-family data; standardization efforts underway for media (photos, videos, floor plans).
MLSs and vendors can better serve complex real estate segments and deliver richer property information across platforms.
Unique Identifiers for Properties, Agents, and Organizations
Rollout of Universal Parcel Identifier (UPI), Unique Licensee Identifier (ULI), and Unique Organization Identifier (UOI).
Easier cross-system tracking of listings and professionals, less duplication, and smoother operations across MLS boundaries.
Preparing for AI Integration
Standards adapting to support AI-driven tools: consistent metadata, AI flagging for media, better analytics.
Enables MLSs and tech companies to safely leverage AI, improve automation, and deliver smarter tools for agents and consumers.
Conclusion
RESO standards have become a necessary part of doing business in real estate. They simplify data management, reduce development costs, and make scaling and innovating across markets easier.
As the industry continues to modernize, companies that align with RESO standards will be better positioned to operate efficiently and compete effectively. Standardization is part of running a smarter, more sustainable business.
FAQ: RESO Data Dictionary & RESO Web API Standards
Real Estate Standards Organization (RESO) is the industry body that designs and maintains open data standards for real estate: the RESO Data Dictionary, RESO Web API, and related specs like the Universal Parcel Identifier (UPI).
Its job is to give MLSs, brokerages, portals, and vendors a common language and a transport layer for listing and property data so systems can connect without custom, one-off integrations.
When people search for “RESO company,” “RESO logo,” or “what is RESO,” they’re usually looking for this standards organization—not an MLS or software vendor.
The RESO Data Dictionary standard defines:
A shared list of field names (like ListingId, ListPrice, LivingArea, CloseDate)
Allowed values for many fields (for example, listing statuses and StandardStatus values)
How fields relate to each other across resources (Property, Member, Office, etc.)
Think of it as the industry’s schema: it tells MLSs and vendors how to name and structure data so feeds line up instead of needing custom mapping each time.
In 2025 and 2026, Data Dictionary 2.x is the baseline many MLSs certify against.
MLS field alignment
The Data Dictionary defines standard names and types for MLS fields (e.g., ListingId, Status, ListPrice, LivingArea).
StandardStatus vs. local statuses
MLSs can keep internal statuses, but the Data Dictionary defines StandardStatus values so “Active,” “Pending,” and “Closed” mean the same thing across markets.
Versioned specs (Wiki, spreadsheets, PDFs)
RESO publishes documentation and spec packages (including 2.x PDFs/spreadsheets) that list fields, allowed values, and metadata—so large organizations can design around one stable template.
The RESO Web API standard is the modern way to move MLS real estate data between systems. It’s a REST-style API that uses HTTP, JSON, and the OData protocol to expose RESO-compliant resources like Property, Member, and Office.
In 2025-2026, this is the default transport for many MLS integrations; older RETS feeds are being retired or already gone.
The RESO Web API is built on REST over HTTP, uses OData v4 query syntax (filters, paging, ordering), returns JSON, and is secured with modern auth + TLS.
What is RETS, and why move away from it?
RETS (Real Estate Transaction Standard) was the older XML-based transport. It often relied on bulk polling, proprietary tooling, and local replication. In 2025 and 2026, many MLSs migrate because:
Live queries reduce the need for big replicated databases
JSON + modern auth simplify integrations and security
The same API pattern works across web, mobile, and partner platforms
If the Data Dictionary is the vocabulary, the Web API is the delivery mechanism:
The Web API exposes resources and fields that follow Data Dictionary names and types
MLSs certify implementations, so a Property resource in one market looks similar in another
In 2025-2026, this is what makes multi-market aggregation and analytics realistic at scale.
In practice, “RESO Web API MLS standard 2025-2026” usually means:
Web API is in production and RESO-aligned (OData + JSON)
Endpoints return Data Dictionary 2.x fields
Write-side features (Add/Edit) and real-time eventing (webhooks) are on the roadmap or rolling out
Teams asking about this are typically validating whether an MLS is “modern API ready” for scalable integrations.
For portals, large brokerages, and data platforms, standardization comes down to three moves:
Normalize schemas using the Data Dictionary as the target model
Standardize transport with RESO Web API instead of proprietary feeds
Continuously validate incoming data against RESO + your business rules
In 2025 and 2026, that’s the baseline pattern for building “validated datasets” for innovation without drowning in one-off MLS mappings.
These searches usually point to standardized semantics in the Data Dictionary:
ListingStatus: the MLS’s local status value
StandardStatus: normalized status mapped to a common set (Active/Pending/Closed, etc.)
DOM: days-on-market count under defined business rules
ListPrice: current asking price set by the listing brokerage
LivingArea: standardized measure of interior living space (sq ft / sq m depending on configuration)
ListingId: MLS-assigned unique listing identifier
CloseDate: date the transaction formally closed
For exact definitions and allowed values, treat RESO’s official Wiki/PDF/spec packages as the source of truth.
RESO publishes official spec packages that typically include:
Data Dictionary Wiki 2.x (human-readable documentation)
In 2025 and 2026, most MLS implementations anchor on Data Dictionary 2.0+—so align your schemas to the spec, not local exports.
The RESO Universal Parcel Identifier (UPI) standard assigns a unique, URN-style identifier to each parcel by combining jurisdictional information with the parcel number.
Reduces confusion between properties with similar addresses
Makes merging MLS + tax + public-records data easier
Improves cross-system matching for national / multi-market platforms in 2025-2026
In 2025 and 2026, the Web API is evolving from “read-only” into a fuller MLS access standard:
MLS access: certified Web API endpoints with OData querying + Data Dictionary fields
Add/Edit: push new listings and updates through the API (where supported)
Validation Expressions: machine-readable rules (required fields, value constraints)
EntityEvent / Webhooks: push notifications when listings change (less polling)
This is what many teams mean by “modern, bidirectional, event-driven” MLS integrations.
The Web API Core spec defines:
Endpoints and query patterns servers must support
How to express filters, ordering, and pagination via OData
How resources are represented using Data Dictionary fields
Recommended security patterns (OAuth, TLS)
OData is the query language layer that makes cross-MLS ingestion predictable (same filter/paging patterns everywhere).
“RESO API” usually means connecting to an MLS via the RESO Web API using Data Dictionary fields—without older IDX/RETS-style integrations.
Some WordPress plugins claim “RESO Web API MLS” support, but they’re effectively specialized clients. You still need to handle:
Authentication and access
Field mapping (and optional enrichment)
Caching and rate limits
Data quality checks
RESO Common Format (RCF) is a JSON format aligned with the Data Dictionary that can be used even outside full Web API implementations.
In 2025 and 2026, think of the stack like this:
RESO Data Dictionary: what the data means
RESO Web API: how to transport the data
RESO Common Format (RCF): consistent serialization, even without full Web API
This helps non-MLS entities align to RESO semantics without adopting the full Web API stack.
In 2025-2026, the practical playbook looks like this:
Standardize upstream: require RESO Web API + Data Dictionary 2.x from partners, prefer RESO-certified providers.
Normalize centrally: map all feeds into one RESO-aligned schema, then apply validation/enrichment (UPI, internal IDs, dedupe).
Expose clean internal APIs: serve your products and analytics from the normalized model, not raw MLS variants.
This is the pattern that reduces integration time and makes multi-market expansion more predictable in 2025 and 2026.
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