# JUCars-2024: A dataset of used car listings in Jordan

## TL;DR

This paper introduces JUCars-2024, a dataset of used car listings in Jordan collected and processed for research and machine learning applications.

## Contribution

The paper presents a novel, publicly available dataset of Jordanian used car listings with detailed features for analysis and modeling.

## Key findings

- The dataset includes vehicle details, prices, and location features from online marketplaces in Jordan.
- Systematic preprocessing was applied to remove duplicates and structure the data for reuse.
- The dataset supports price forecasting and market classification studies in the Jordanian used car market.

## Abstract

The used car market in Jordan is a very important component of national transportation and economic systems that reflect consumer preferences, import policies, and affordability constraints. This article presents the Jordanian Used Cars Dataset (JUCars-2024), records of used car advertisements collected throughout 2024. The dataset contains detailed information about vehicles offered for sale, their prices, technical features, and location-related features. Online car marketplaces in Jordan were selected as prominent online car markets and used as a source of data using automated web scraping implemented in Python in a Jupyter Notebook environment. After collection, the data were preprocessed systematically, including removal of duplicates. The resulting data constitute a structured dataset, which can be reused in machine learning, economic efforts, and policy-related studies. JUCars-2024 provides a publicly available, reproducible tool, which assists in price forecasting, market classification, modeling of the Jordanian used car market.