Database with all the continents, countries, states and cities of the world. This directory contains all 7 continents, 250 countries, 4k subdivisions (provinces, states, etc) and more than 127k thousand cities. All data can be retrieved and managed via APIs. User can also clone the database with all the data.
A dataset with car models categorized by manufacturer, type (SUV, Sedan, etc), and manufacturing year. A developer is able to clone, connect, and download the dataset in a JSON format (transform to CSV or Excel after downloading). The dataset is open-source and provides detailed information about motor vehicles manufactured in the US between the years 1992 and 2022.
This is a comprehensive database with all cities in India. The list includes around 4,000 cities, towns, villages, it's free to download, and consume via APIs. Developers can retrieve data using their preferred programming language, for example, Javascript, Swift, Dart, NodeJS, PHP, Phyton, Swift, Java, etc. Data gathered from Wikipedia and Geonames and licensed under Creative Commons 4.0.
Database with more than 500k movies. Free, public domain, and open to use. You can retrieve data via an API request (REST or GraphQL) or downloading the datasets. The following variables are available: movie name, year, screen time, directors, stars, and genre.
This public database contains datasets with all instructional programs offered by higher education institutions in the United States and Canada. These academic disciplines are organized according to the CIP - Classification of Instructional Programs, which is maintained by the NCES - National Center for Education Statistics of the United States Department of Education.
This is a dataset with US states that is accessible via GraphqQL API.
Base de dados com os CEPs dos Correios divididos por endereços e estados do Brasil.
This is a comprehensive database containing all the Zip Codes from China. The dataset is available for download or consumption via APIs (REST or GraphQL).
This is the most comprehensive database with the Zip Codes from Portugal. It's created for developers and all data can be retrieved via REST and GraphQL APIs. Ready to use code over Swift, NodeJS, Javascript, Python, etc is available and fully integrated with the dataset.
The US County Database is a comprehensive list with all counties names, codes, states, etc. All data can be accessed and manipulated via GraphQL and REST APIs. Users can also copy the list of US county names and edit the data.