FindCars NZ | Auction Analytics

Latest Data

Today's Listings

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Registered vehicles only

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Market Insights

Market Analytics

Trends, distributions, and manufacturer breakdowns from 660,000+ auction records.

Top Manufacturers by Volume

Fuel Type Distribution

Price Trends Over Time

Daily Listing Count

Average Price by Manufacturer

Damage Types

Price Distribution

Programmatic Access

REST API & Open Data

Free, no authentication. All data is pre-computed static JSON, refreshed daily. Base URL: https://findcars.prasanthsasikumar.com/api/v1

GET /stats/overview

Aggregated statistics from the last 30 days.

GET /stats/price-trends

Weekly price trends and average daily listing counts.

GET /manufacturers

Top 50 manufacturers by listing volume.

GET /damage-analysis

Damage keyword frequency counts.

GET /price-distribution

Vehicles grouped by price bracket.

GET /search

Full latest-day listings as JSON for client-side filtering.

Quick Start

# Python
import requests
r = requests.get("https://findcars.prasanthsasikumar.com/api/v1/stats/overview")
print(f"Average price: ${r.json()['avg_price']}")

// JavaScript
fetch("https://findcars.prasanthsasikumar.com/api/v1/manufacturers")
  .then(r => r.json())
  .then(d => d.slice(0, 5).forEach(m => console.log(m.manufacturer, m.count)))

Raw Daily CSVs1,131 files Processed Dataset460K cleaned API JSON Snapshots Full RepositoryMIT

Behind the Project

The Story

This dashboard started with buying damaged cars at insurance auctions, some to drive around and some for the track. I've since moved to Singapore, but left the scraper running because mates back in NZ were still using it. The full write-up is a three-part series on prasanthsasikumar.com.

Part 1 · The Data