The following are the best features of the IP geolocation APIs currently available on the market.
IP geolocation APIs can be managed to install on an online platform and used to obtain a wealth of information. This data can then be used to deal with situations or obtain effective and high information about a customer, for example the country code.
All of this is possible because of the IP address, which is a set of numbers that logically and hierarchically identifies an interface in a network of a device that uses the protocol or corresponds to the network level of the TCP/IP model.
Below we rank the 3 best ones:
1- IpXapi:
It provides really accurate data about where the device is geolocated. Also ipXapi is combined with lot of channels that provide real-time IP data and its data is increasing every day and actually supports more than 2 million unique locations. In over 200,000 cities around the globe. The client can personalize the experience based on IP addresses. The data utilized by this API is updated every day. The databases have 24 updates per day.
2- ipapi :
ipapi is an API cloud service permitting customers to automate IP address validation and geolocation lookup in websites, applications and back-office systems. The API is qualified of selecting a total of 47 individual data points for each processed IP address, adding comprehensive details about the location, connection, ISP, money, time zone and protection tied to a given IP address.ipapi is a development created and supported by apilayer, a software company founded in London, United Kingdom and Vienna, Austria. Apilayer is the brand after popular API and SaaS products worldwide, which includes the mailbox layer API, invoice and version.
3 –IpGeolocation:
The database is the most accurate in the country level and around 75% accurate in city level. The database can be save in your computer. The precision for mobile grids is lower than that of wired networks. The data is updated a lot of moments in a week. Databases are unrestricted in plain CSV files which are damaged down into multiple relational files so that importing them to SQL databases or reading them instantly in extra programming languages is easy and straightforward.