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Noseberry Digitals
MLS integration

MLS integration services. RESO Web API, RETS legacy, IDX feeds

Specialist MLS integration for brokerages, real estate marketplaces, and PropTech platforms. RESO Web API, RETS, IDX broker feeds, MLS Grid, Bridge, Spark, Trestle. Across 40+ MLSs in US and Canada.

Scope my MLS integrationSee MLS work

Trusted by 50+ operators, PropTech companies & digital-first brands

HDFC Life
Axis Bank
Niva Bupa
Apollo Munich
Lufthansa
Amway
Kent
Harrington Housing
Hive Coliv
Edge Living
CDA Coliving
Fllat
Volley
TheVibes
CasaPay
JumboTiger
Everything Coliving
Bookmycoliving
Bhutani
Gulshan
CRC
M3M
Godrej
Omaxe
Sikka
Lodha
Mahagun
Prestige
Sawasdee
Who it’s for

Built for these operators

  • Brokerages

    100–10K+ active listings needing MLS ingestion.

  • Real estate marketplaces

    Aggregating across multiple MLSs.

  • PropTech platforms

    Listing-data needs (search, valuation, market analytics).

  • iBuyers

    Ingesting MLS data for offer pricing.

  • Real estate CRMs

    Syncing MLS listings into agent workflows.

  • Investment platforms

    Screening MLS deals against criteria.

What’s included

Everything you need, in one engagement

  • RESO Web API integration

    Modern OAuth2-based, real-time.

  • RETS legacy integration

    For older MLSs still on RETS.

  • IDX broker feeds

    Broker-attribution-required feeds.

  • Multi-MLS aggregation

    Normalize across MLSs with different schemas.

  • Photo & media handling

    MLS photo download, optimisation, hosting.

  • Listing-page generation

    Server-rendered, schema-marked, indexable.

  • Search & filter UI

    Algolia / Typesense / Meilisearch with MLS-aware fields.

  • MLS rule compliance

    Display, attribution, ToS, broker-stamp requirements.

  • Webhook & polling sync

    Real-time where supported, polling fallback.

  • Data quality & normalization

    Across MLS schema variations.

How we work

A predictable, weekly cadence

  1. 01

    Discovery (Week 1)

    MLS list, feed type, volume, attribution requirements.

  2. 02

    MLS access setup (Weeks 1–4)

    Varies by MLS; we coordinate vendor accounts.

  3. 03

    Schema mapping (Week 2)

    Normalize fields across MLSs to your data model.

  4. 04

    Build (Weeks 3–8)

    Feed sync, photo handling, listing pages, search.

  5. 05

    Compliance review (Week 9)

    Display, attribution, ToS audit per MLS.

  6. 06

    Launch & monitor (Week 10)

    Go live, monitor sync, catch errors.

  7. 07

    Operate (ongoing)

    Feed quality, MLS rule changes, schema evolution.

Tech & methodology

Opinionated for real estate

  • Stack

    • RESO Web API
    • RETS Standards
    • OAuth2
    • Node.js / Python
    • Postgres
    • Redis
    • S3 / Cloudinary
    • Algolia
    • Schema.org RealEstateAgent + Apartment + Residence
    • Webhooks + polling
Selected work

Real engagements, real outcomes

  • Case study

    Brokerage IDX site

    8K listings across 4 MLSs, server-rendered.

    • Lighthouse 88
  • Case study

    Real estate marketplace

    12 MLSs aggregated with normalized schema.

  • Case study

    iBuyer pricing engine

    RESO Web API + ATTOM data for offer generation.

Outcomes

What clients walk away with

  1. 40+

    MLSs integrated across portfolio

  2. 5–10 days

    typical first-listing-indexed window

  3. 99.5%+

    feed uptime SLA across managed integrations

  4. Audited

    MLS-rule compliance check included on every engagement

Pricing

Pick the tier that fits

  • Single MLS Integration

    4–6 weeks

    • One MLS feed
    • Schema mapping + sync
    • Compliance review
    Scope a single MLS
  • Most popular

    Multi-MLS Integration

    8–12 weeks

    • 2–6 MLSs aggregated
    • Normalized schema
    • Search + filter UI
    Scope multi-MLS

  • National Aggregation

    14+ weeks

    • 10+ MLSs with normalization
    • Programmatic SEO
    • Continuous compliance audit
    Plan national aggregation
How we compare

Side-by-side, with the alternatives

  • MLSs integrated

    Noseberry
    40+
    Generic dev shop
    0–5 typical
    IDX vendor (Showcase, IDX Broker)
    100+ but limited customization
    Custom in-house
    Hire-dependent

  • Custom schema / data model

    Noseberry
    Generic dev shop
    Varies
    IDX vendor (Showcase, IDX Broker)
    Vendor schema
    Custom in-house

  • Server-rendered pages

    Noseberry
    Generic dev shop
    Varies
    IDX vendor (Showcase, IDX Broker)
    Often client-rendered
    Custom in-house

  • Compliance audit

    Noseberry
    Generic dev shop
    Varies
    IDX vendor (Showcase, IDX Broker)
    Custom in-house
    Varies

  • Code ownership

    Noseberry
    Generic dev shop
    Varies
    IDX vendor (Showcase, IDX Broker)
    Rented
    Custom in-house

  • Time to integrate

    Noseberry
    4–14 weeks
    Generic dev shop
    8–16 weeks
    IDX vendor (Showcase, IDX Broker)
    Days but locked
    Custom in-house
    6–16 weeks
FAQ

Frequently asked questions

Why custom MLS integration vs IDX Broker / Showcase IDX?

IDX vendors are fast but lock you into their schema, page templates, and SEO limits. Custom integration when you need control over data model, page structure, or unique features.

RESO Web API vs RETS?

RESO Web API is the modern standard. OAuth2, REST, real-time. RETS is legacy but still required by some MLSs. We do both.

MLS approval. How long?

1–6 weeks per MLS, varies wildly by region. We coordinate vendor accounts but can't accelerate the MLS itself.

Photo storage costs?

Photos optimised to WebP/AVIF at hosting time; typical 500-listing site costs ~$30/mo on Cloudinary or similar.

MLS rule changes?

Part of operate-phase retainer. We monitor MLS announcements and update display/attribution as required.

Pairs well with

Bundle with

Ready when you are

40+ MLSs integrated RESO + RETS native?

Scope my MLS integration. Reply in 24 hours · 40+ MLSs integrated · RESO + RETS native.

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