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Droom Data Parser & API

Droom is an Indian online auto marketplace listing 50K+ vehicles across cars, two-wheelers and commercial vehicles — and Carapis extracts its listings plus its Orange Book Value pricing and ECO score signals through one REST API. Droom is best known for its algorithmic Orange Book Value (OBV) pricing and ECO score / Discovery history reports, a valuation signal that is rare in South-Asian auto data, and Carapis serves it without you building a scraper.

CountryIndia
TypeMarketplace
OwnerDroom
Vehicle typesused, new, moto, commercial
Monthly visits— (mid-tier)
Active listings50K+ vehicles
API accessPartial / limited API
Parse priority★★★★☆
Official sitedroom.in

What is Droom?

Droom is an Indian automobile marketplace covering used and new cars, motorcycles and commercial vehicles, with 50K+ vehicles listed. It differentiates on data products: Orange Book Value (OBV), an algorithmic fair-price benchmark, and ECO score / “Discovery” history reports. Droom has IPO ambitions and competes with CarTrade and CarDekho in the marketplace segment.

Market Position

Droom is a mid-tier Indian marketplace whose moat is its valuation data rather than raw traffic. Its Orange Book Value algorithmic pricing and ECO score reports give it a price-history/valuation signal that most South-Asian classifieds lack. In a market where mileage is self-reported and no platform offers VIN/CARFAX-style history, OBV is a useful independent pricing anchor. India’s used-car market is estimated at ~USD 36B (2025).

Data Fields Available

Carapis extracts a structured record from each Droom listing:

  • Vehicle identity — make, model, variant, model year, fuel type, transmission
  • Condition — mileage on used listings
  • Pricing — listed price plus Orange Book Value algorithmic benchmark (the standout Droom field)
  • History / qualityECO score and Discovery history report
  • Listing context — seller info, location, photo gallery

OBV and ECO score make Droom valuable for valuation and pricing-intelligence buyers who need an independent price benchmark.

API Quick Start

import requests resp = requests.get( "https://api.carapis.com/v2/listings", params={"source": "droom", "limit": 20}, headers={"Authorization": f"Bearer {API_KEY}"}, ) for car in resp.json()["results"]: print(car["make"], car["model"], car["year"], car["price"])

Get an API key at my.carapis.com  and see the full API reference. Pricing is on the pricing page.

Use Cases

  • Pricing intelligence — Orange Book Value gives an independent valuation anchor for dealers.
  • Market research — track marketplace supply, pricing and ECO-score quality signals. See market research.
  • Valuation modelling — combine OBV with listing prices to model residual values.

Frequently asked questions