There is one platform that has unremarkably emerged as the online professional directory, and that is LinkedIn. Millions of professionals, companies, and recruiters rely on it to share their careers, their company’s brands, and find talent for their business. Consequently, LinkedIn has become one of the most valuable repositories of job-related data on the web.
However, even with all that data, it is still difficult for developers to build applications around all that. It is not like the information isn’t worth anything. In reality, it is the opposite way around! Companies would benefit from the professional data for recruiting, improving business communication skills through richer professional insights, adding value to customer records, assisting the sales teams, and fueling market research. Unfortunately, it is not always as easy to use the data via LinkedIn’s official APIs as developers might wish.
This is what many people refer to as the “LinkedIn API gap.” This is where LinkedIn’s official APIs fall short as they do not provide access to all kinds of professional information that today’s applications might require. This can leave the developer with a tendency to look for practical solutions to creating tools their organization needs that do not require a tremendous amount of time to build.
This is where there is an opportunity for specialized API providers. These services make it easy for businesses to gain access to professional information that can help legitimate business processes, rather than forcing businesses to develop complicated integrations from the ground up, and encourage responsible use.
Accessing data is only one part of the story.
Only useful professional information is organized, reliable and easy to use. From developing a recruiting platform to building a CRM or a sales intelligence tool, you need to ensure that your data remains accurate throughout your platform. Hence, automation, monitoring, observability, governance, and data quality are so important in modern data engineering. The value of clean data isn’t limited to being “nice to have,” it is a tool that can help businesses make sound decisions with confidence.
If there is one more reason developers love professional data, it is the vast abundance of information it can offer. Rich public profiles, work experience, education, skills, company info, and job-related content all can help to enrich the applications when applied in the appropriate context. The combination of these elements enables organizations to streamline their manual research and develop a more effective workflow.
A good LinkedIn Profile API can help applications pull information from the LinkedIn profile for approved business purposes seamlessly, while also helping them retrieve the relevant professional information from it.
The expanding LinkedIn ecosystem also demonstrates that developers are not interested in quick and easy solutions. They are interested in solutions that work. Businesses developing recruitment applications, sales applications, and business intelligence applications are already getting a helping hand at bridging the gap from professional providers like Lix-it.com, which are making professional data integrations more available. The purpose is not to gather more information but to ensure that the information is used more effectively and responsibly by organisations.
In short, LinkedIn’s status as the world’s biggest business network is likely to remain unchanged for the foreseeable future. The way developers use its data will continue to change. The ones that will be successful are the ones that will implement responsible access along with good data engineering practices, and be able to convert the valuable information at their disposal into tools that actually address real business issues.
