World Data API
Countries, cities, timezones, holidays, currencies, airports — unified in a single, interconnected API. Stop juggling 6 APIs for global data.
Countries, cities, timezones, holidays, currencies, airports — unified in a single, interconnected API. Stop juggling 6 APIs for global data.
This page is designed to help you find out whether World Data API is good and if it is the right choice for you.
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Comprehensive Data Coverage
World Data API typically offers extensive datasets covering countries, cities, currencies, languages, and other global reference information, making it useful for applications needing broad geographic and demographic data.
Easy Integration
Many data APIs like this are designed with RESTful endpoints and clear documentation, allowing developers to quickly integrate country and world data into their applications with minimal setup.
Useful for Multiple Industries
The data provided can be valuable across various sectors such as e-commerce, travel, finance, and logistics, where location-based or country-specific information is needed.
Regular Updates
World data changes over time (currency rates, population, etc.), and APIs like this often provide periodic updates to keep information current and reliable for users.
Reduces Development Time
Using a pre-built API for world data saves developers time compared to manually sourcing, cleaning, and maintaining this type of reference data themselves.
It bundles reference data that usually requires 5+ separate integrations. Countries, timezones, holidays, currencies, airports, astronomy - all with consistent response formats and cross-linked identifiers. Query a country, get its IANA timezones. Query an airport, get its country's emergency numbers. One API key instead of managing credentials for Calendarific, TimezoneDB, REST Countries, and whatever you cobbled together for power plug data.
Depends what you're building. If you only need holidays, Nager.Date is free and covers Europe well. If you only need timezones, there are simpler options. But if your app touches multiple data types - say, a scheduling tool that needs holidays AND business day calculations AND timezone conversion - you're otherwise looking at integrating 4+ APIs with different auth, different pagination, different update schedules. That's the problem we solve.
Developers building apps where international data is a means to an end, not the product itself. Fintech teams who need business day math but don't want to maintain holiday calendars. E-commerce platforms calculating delivery dates. Travel apps showing adapter types and emergency numbers. Anyone who's wired up REST Countries, realized it doesn't have power plugs, and started Googling "power plug API" before giving up and making a spreadsheet.
Built it because I kept solving the same problem. Every project that needed "just a little country data" turned into integrating three APIs, writing adapters, and maintaining update scripts. The data exists - it's just scattered across incompatible sources. World Data API consolidates it.
Fullstack Rust for both backend, frontend, and the data sourcing layer. Data sourced from ISO standards, IANA timezone database, official government holiday calendars, and other similar authoritative sources.
We have collected here some useful links to help you find out if World Data API is good.
Check the traffic stats of World Data API on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of World Data API on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of World Data API's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of World Data API on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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