WL2T Hotel API Integration via Vervotech

Integration snapshot

Supplier

WL2T

Type

Distribution

Origin country

United Kingdom

Region

Europe

Coverage tier

Production-grade

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 WL2T

• Canonical hotel IDs. Each WL2T property resolves to a single Vervotech hotel ID shared with every other connected supplier.
• Room-level mapping. Identical room types from WL2T collapse with peer suppliers' equivalents into a canonical room ID, so you can shop rates without duplicate inventory.
• Continuous refresh. Static and dynamic WL2T content is pulled on a recurring cycle, so newly contracted properties enter the mapped catalog without engineering work.
• One REST endpoint. Call WL2T content through the same Vervotech endpoint that serves the rest of your supplier mix.

How the WL2T integration works

1. Ingest. Vervotech pulls the WL2T hotel content feed on a continuous refresh cycle. Both static (hotel attributes) and structural (room and board types) data are captured.
2. Normalize. WL2T's schema is mapped to a canonical Vervotech model. Currency, language, geocoding, and amenity vocabularies are standardized.
3. Resolve. Every WL2T property is matched to a canonical Vervotech hotel ID using deterministic rules (address, geocode, name) and ML scoring trained on 3M+ properties.
4. Deduplicate rooms. Equivalent room types from WL2T are collapsed with peer supplier rooms into a canonical room ID.
5. Expose. WL2T content is reachable through one Vervotech REST endpoint, mixed with the rest of your supplier inventory.

Example WL2T response via Vervotech

Vervotech returns WL2T properties enriched with canonical IDs that match the same property as served by peer suppliers.

GET /v3/hotels?supplier=wl2t&country=un
Authorization: Bearer YOUR_VERVOTECH_KEY

200 OK
{
  "supplier": "WL2T",
  "hotels": [
    {
      "vervotech_id": "vt_8f3a91...",
      "wl2t_id": "SUP_REF_12345",
      "name": "Example Hotel WL2",
      "address": "...",
      "geo": { "lat": ..., "lng": ... },
      "rooms": [ { "vervotech_room_id": "vrm_...", "wl2t_room_id": "RM_77" } ]
    }
  ]
}

Schema is illustrative. See the Hotel Mapping API documentation for the full spec.

Vervotech-mapped WL2T vs direct WL2T integration

Typical WL2T use cases

• OTAs and metasearch: blend WL2T rates with peer suppliers behind a single property listing, with no duplicates and no schema drift.
• Travel agencies and TMCs: route bookings to WL2T when its rate wins, fall back to alternates when it does not, all under one mapped catalog.
• Corporate travel: normalize WL2T content into one travel-policy view across regions and brands.
• Post-booking margin capture: watch WL2T and peer rates after the original booking and rebook automatically via Vervotech Profit Maximizer when a cheaper rate appears.

Related Vervotech capabilities

• Hotel Mapping API99.998% accuracy at 3M+ properties
• Room Mapping APICanonical room IDs across suppliers
• Profit MaximizerPost-booking margin capture across WL2T and peers
• All 153+ suppliersBrowse the full supplier network