Atharva Hotel API Integration via Vervotech

Integration snapshot

Supplier

Atharva

Type

Distribution

Origin country

India

Region

Asia Pacific

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 Atharva

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

How the Atharva integration works

1. Ingest. Vervotech pulls the Atharva hotel content feed on a continuous refresh cycle. Both static (hotel attributes) and structural (room and board types) data are captured.
2. Normalize. Atharva's schema is mapped to a canonical Vervotech model. Currency, language, geocoding, and amenity vocabularies are standardized.
3. Resolve. Every Atharva 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 Atharva are collapsed with peer supplier rooms into a canonical room ID.
5. Expose. Atharva content is reachable through one Vervotech REST endpoint, mixed with the rest of your supplier inventory.

Example Atharva response via Vervotech

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

GET /v3/hotels?supplier=atharva&country=in
Authorization: Bearer YOUR_VERVOTECH_KEY

200 OK
{
  "supplier": "Atharva",
  "hotels": [
    {
      "vervotech_id": "vt_8f3a91...",
      "atharva_id": "SUP_REF_12345",
      "name": "Example Hotel Ath",
      "address": "...",
      "geo": { "lat": ..., "lng": ... },
      "rooms": [ { "vervotech_room_id": "vrm_...", "atharva_room_id": "RM_77" } ]
    }
  ]
}

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

Vervotech-mapped Atharva vs direct Atharva integration

Typical Atharva use cases

• OTAs and metasearch: blend Atharva rates with peer suppliers behind a single property listing, with no duplicates and no schema drift.
• Travel agencies and TMCs: route bookings to Atharva when its rate wins, fall back to alternates when it does not, all under one mapped catalog.
• Corporate travel: normalize Atharva content into one travel-policy view across regions and brands.
• Post-booking margin capture: watch Atharva 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 Atharva and peers
• All 153+ suppliersBrowse the full supplier network