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 2020.
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.
This is a complete list with 1,300 Best Buy Store locations across the USA. The dataset includes the Store Name, State, City, Address, Zip Code, Phone Number, Email, Longitude, Latitude, Store URL, and Bing Coordinates.
This database brings Coronavirus cases, deaths, and recovery information from Wikipedia. It disposes the information in a more developer friendly format and automatically exposes all the data via GraphQL/REST APIs. All data categorized by country and by date.
This database contains a single dataset (class) called Color with 957 colors, their names, and their RGB codes.
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 public database contains datasets with all NAICS (North American Industry Classification System) sectors, subsectors, groups, industries, national industries, and activities. All the data can be fetched via GraphQL or REST API.
This public database contains datasets with all SOC (Standard Occupational Classification System) and STEM (Science, Technology, Engineering, and Math) occupations in addition to all job titles according to BLS (Bureau of Labor Statistics of the USA). All the data can be accessed via GraphQL or REST APIs.
SWAPI is the Star Wars API built on top of Back4App. This dataset can be consumed either via REST or GraphQL API.
This is a dataset with US states that is accessible via GraphqQL API.