Car Data API for Analysts & Researchers
Data analysts, economists and market researchers use Carapis to study the used-car market — pulling clean, normalized listing, price-history and inventory data from marketplaces like Encar, Mobile.de and AutoScout24 through one REST API — so they can model depreciation, supply and demand, and price trends without scraping anything. Carapis removes the data-collection toil so analysts spend their time on analysis, not on parsers.
Who they are
Pricing analysts, market-intelligence teams, academic and industry economists, and consultancies study how vehicles are priced and how supply moves. Their work depends on large, clean, comparable panels of listing data over time and across regions — exactly the data that is painful to assemble yourself from dozens of JavaScript-rendered, anti-bot portals.
What data they pull
- Price panels — asking prices and price history by make, model, trim, year and mileage to model depreciation curves.
- Supply and inventory — listing counts and turnover over time as supply/demand indicators.
- Cross-market comparison — the same models across countries through one normalized schema.
- Condition variables — mileage, accident history and inspection data where exposed, as model covariates.
- Time series — repeated pulls build longitudinal datasets for trend and forecasting work.
Why Carapis
Reproducible research needs consistent, well-structured inputs. Carapis delivers one normalized schema across every source and market, so a study that starts in Korea extends to Germany or the US by changing a source parameter — no new scraper, no schema reconciliation. The data-engineering burden shifts off your team. See all platforms and pricing.