
RTS Hotel API Integration via Vervotech
Broad coverage coverage
99.998% mapping accuracy
One REST endpoint
RTS is a hotel distribution partner headquartered in Hong Kong. Vervotech ingests its inventory feed, normalizes the schema to a canonical hotel and room model, and resolves every property to a Vervotech hotel ID, so RTS content interoperates with the rest of the supplier network without per-source mapping work.
Integration snapshot
- Supplier
- RTS
- Type
- Distribution
- Origin country
- Hong Kong
- Region
- Asia Pacific
- Coverage tier
- Broad coverage
- Canonical mapping
- Vervotech hotel + room IDs
- Schema unification
- Names, addresses, geocodes, amenities, room types, board types
- Delivery
- REST API, offline file sync, on-demand match
What Vervotech does for RTS
- Canonical hotel IDs. Each RTS property resolves to a single Vervotech hotel ID shared with every other connected supplier.
- Room-level mapping. Identical room types from RTS collapse with peer suppliers' equivalents into a canonical room ID, so you can shop rates without duplicate inventory.
- Continuous refresh. Static and dynamic RTS content is pulled on a recurring cycle, so newly contracted properties enter the mapped catalog without engineering work.
- One REST endpoint. Call RTS content through the same Vervotech endpoint that serves the rest of your supplier mix.
How the RTS integration works
- Ingest. Vervotech pulls the RTS hotel content feed on a continuous refresh cycle. Both static (hotel attributes) and structural (room and board types) data are captured.
- Normalize. RTS's schema is mapped to a canonical Vervotech model. Currency, language, geocoding, and amenity vocabularies are standardized.
- Resolve. Every RTS property is matched to a canonical Vervotech hotel ID using deterministic rules (address, geocode, name) and ML scoring trained on 3M+ properties.
- Deduplicate rooms. Equivalent room types from RTS are collapsed with peer supplier rooms into a canonical room ID.
- Expose. RTS content is reachable through one Vervotech REST endpoint, mixed with the rest of your supplier inventory.
Example RTS response via Vervotech
Vervotech returns RTS properties enriched with canonical IDs that match the same property as served by peer suppliers.
curl rts-response.json
GET /v3/hotels?supplier=rts&country=ho
Authorization: Bearer YOUR_VERVOTECH_KEY
200 OK
{
"supplier": "RTS",
"hotels": [
{
"vervotech_id": "vt_8f3a91...",
"rts_id": "SUP_REF_12345",
"name": "Example Hotel RTS",
"address": "...",
"geo": { "lat": ..., "lng": ... },
"rooms": [ { "vervotech_room_id": "vrm_...", "rts_room_id": "RM_77" } ]
}
]
}
Schema is illustrative. See the Hotel Mapping API documentation for the full spec.
Vervotech-mapped RTS vs direct RTS integration
| Direct RTS | RTS via Vervotech | |
|---|---|---|
| Integration effort | Per-supplier XML or REST mapping, schema work, ID reconciliation | One REST endpoint shared with 152+ other suppliers |
| Canonical IDs | RTS-specific IDs, no peer alignment | Vervotech hotel + room IDs shared across every supplier |
| Deduplication with peer suppliers | Build it yourself | Built in, with confidence scores |
| Rate shopping across suppliers | Requires custom matching layer | Direct, properties share canonical IDs |
| Mapping accuracy | Self-managed | 99.998% on 3M+ properties, continuously monitored |
| Time to first integrated query | Weeks to months | Same day via free trial |
Typical RTS use cases
- OTAs and metasearch: blend RTS rates with peer suppliers behind a single property listing, with no duplicates and no schema drift.
- Travel agencies and TMCs: route bookings to RTS when its rate wins, fall back to alternates when it does not, all under one mapped catalog.
- Corporate travel: normalize RTS content into one travel-policy view across regions and brands.
- Post-booking margin capture: watch RTS and peer rates after the original booking and rebook automatically via Vervotech Profit Maximizer when a cheaper rate appears.
Related Vervotech capabilities
Frequently asked questions
What is RTS?
- RTS is a distribution based in Hong Kong that distributes hotel inventory. Vervotech maps the RTS catalog to canonical hotel IDs so it can be queried through the same API as 152+ other suppliers.
How does Vervotech integrate RTS?
- Vervotech ingests the RTS feed on a continuous refresh cycle, normalizes its schema (hotel attributes, room types, geographic data) to a canonical model, and resolves every property to a Vervotech hotel ID. Customers call one REST endpoint and receive RTS content alongside every other connected supplier.
What RTS data is mapped?
- Static content (hotel names, addresses, geocodes, amenities, images, descriptions) and structural data (room types, board types, occupancy rules) are mapped to canonical Vervotech IDs. Dynamic data (rates, availability) is passed through with canonical ID enrichment so customers can rate-shop RTS against peers.
Can I rate-shop RTS against other suppliers?
- Yes. Because RTS properties share canonical hotel and room IDs with the rest of the Vervotech network, rates from RTS are directly comparable with peer suppliers under the same property listing. Profit Maximizer can also automatically rebook to a better source after the original booking if the price drops.
What is the RTS coverage tier on Vervotech?
- RTS is currently in the broad coverage tier on Vervotech's mapping pipeline. Coverage is monitored continuously and re-computed as RTS publishes new inventory or schema changes.
How long does it take to go live with RTS through Vervotech?
- Customers with a Vervotech account can start querying RTS content immediately, no separate RTS integration project required. The 7-day free trial gives access to RTS content alongside the rest of the supplier network from day one.
What does RTS integration cost?
- Vervotech Hotel Mapping starts at $499 a month and includes the full supplier network. Bundle packages discount up to 50% when you connect multiple suppliers. There are no per-supplier integration fees on top of the subscription.
Start with RTS today
Call RTS inventory through one mapped endpoint, alongside 152+ other suppliers, in under a day.
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