Extracting Data From LinkedIn

Linkedin API

When you first start working on building your Linkedin profile, you should consider whether or not you want to go the LinkedIn data API route. LinkedIn is an extremely rich resource of business and individuals information which can power all your data science endeavors, lead generation efforts, research, etc. Now while pretty much anyone with a good command of basic programming skills can build a simple LinkedIn scraper for free, a good DIY solution wouldn’t work for volumes less than a few hundreds of contacts. These programs are written in Java, so while they can be used with the Google Java client, if you plan on going through a university’s libraries, it’d be best to stick to a library that’s specific to Java. This also means that LinkedIn scraping won’t likely work as well on the iPad or any other device which doesn’t have access to a Java server.

While LinkedIn data is quite rich, the nature of LinkedIn’s particular features mean that data extraction from it isn’t particularly straightforward. To start with, the way LinkedIn extracts information from users is by way of a special application called “closing friends.” This is a big feature of LinkedIn, which means that to the uninitiated, using LinkedIn could easily be thought to give out every email ever sent or received by the company. To keep this from happening, the program stores all the contact information of each user inside a special kind of container called “memory.”

Fortunately, extracting public information is made easy by using iscraper.io. To do this you need to subscribe by selecting our price plans that best suits you. You can make millions of calls using this API and can extract public individual profile data, company data, company employees, LinkedIn search and much more.

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