Cars.com publishes a deal rating on every listing. Captured at scale, that becomes a map of who is mispriced.
Cars.com is one of the largest US vehicle marketplaces, carrying franchise, independent and private listings nationwide. Its distinguishing feature for data work is the deal rating it attaches to listings — great, good, fair, above market — computed against its own view of local comparables and published openly on the page.
That rating is a competitor's opinion of who is mispriced, given away for free on every listing. Captured across a whole market, it tells you where the soft spots are: which dealers are consistently above market and losing time, which segments are being underpriced, and where your own listings sit in a buyer's eyes before they ever call you.
Cars.com uses bot detection with JavaScript challenges, rate-limits by IP, and serves search results through a client-rendered layer with a depth cap per query. The build drives a real browser, paces requests, rotates residential exits, and segments the market by ZIP radius and price band so the full result set is reachable without ever pushing a single query past its cap.
Excel, CSV, JSON, a Google Sheet that refreshes on a schedule, a direct write into MySQL or Postgres, or a REST endpoint your own tools can query.
Yes — it is published on the listing page and it is one of the more useful columns in the output. Across a whole market it effectively gives you a free second opinion on who is mispriced, computed by someone else's model.
Overlapping inventory, different extras. Cars.com gives you the deal rating and dealer review data; AutoTrader gives broader private-seller coverage and different geographic strengths. Most dealers doing serious pricing work run both and reconcile them on VIN.
Yes, and that is the cheapest useful version of this. A named-dealer watch list is a much smaller job than full market capture, and you get alerted the same morning any of them changes a price.
Collecting publicly visible listing data is generally lawful in the US, and courts have consistently held that reading public pages is not unauthorised access. The build stays off anything behind a login, avoids personal seller data, and keeps request rates civil.
A competitor watch list starts around $250. A filtered daily market feed is typically $400 to $800. Fixed quote within 24 hours of describing the filters and fields.