Skip to main content

About OTDCheck

OTDCheck is a free automotive market intelligence platform that helps car buyers, dealers, and analysts make data-driven decisions. We track over 2.8 million used vehicle listings across 43,000+ US dealerships daily, providing VIN-level price intelligence, NHTSA recall cross-referencing, and dealer behavior scoring.

Our Mission

The US used car market is a $850 billion industry where information asymmetry costs consumers billions annually. Dealers have access to sophisticated pricing tools like vAuto ($1,000-$5,000/month), while buyers rely on outdated Kelley Blue Book estimates and Google reviews. OTDCheck levels the playing field by giving consumers the same data-driven intelligence that dealers use — for free.

What We Track

2.8M+

Vehicles

Daily snapshots of used car listings from major marketplaces and dealer sites across 20 US metros.

NHTSA

Recalls

Every VIN cross-referenced against the federal recall database. Severity classified as CRITICAL, HIGH, MEDIUM, or LOW.

14.2M

Daily Data Points

Complete price change timeline per VIN. Days-on-lot calculations. Market trend signals.

A-F

Dealer Scores

Grades based on markup vs market, price drop speed, days-on-lot, and recall compliance.

Data Sources & Methodology

OTDCheck collects data from publicly available sources using automated web scraping, in compliance with US case law including hiQ Labs v. LinkedIn (2022) and Meta v. Bright Data (2024).

Cars.com Listings

Daily collection of used vehicle listings from one of the largest US automotive marketplaces.

NHTSA vPIC

Vehicle Product Information Catalog for VIN decoding — year, make, model, trim, engine, and transmission.

NHTSA Recalls API

Official recall status by make, model, and year. Cross-referenced against every VIN in our database.

Dealer Websites

Direct crawling of 43,000+ dealer sites via Dealer.com, DealerOn, Dealer Inspire, and CDK platforms.

Technology

otdcheck-stack
1PostgreSQL + TimescaleDBTime-series VIN snapshots
2Python ScrapyDistributed data collection
3Next.js + ReactConsumer-facing application
4REST APIDeveloper-facing data access

Built on PostgreSQL with TimescaleDB for time-series VIN snapshots, Python Scrapy for data collection, and Next.js for the consumer-facing application. Our REST API serves VIN-level intelligence to developers, dealers, and analysts.