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.

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.

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