LinkedIn seems to have a group for any niche or vertical market segment so everyone can find information about businesses or individuals in the relevant field. Scraping LinkedIn allows you to get such profile data as first and last names, positions, companies, industries, company headshots, industry logos, contact details, education, countries, sites, source URLs, and connections. Professional emails are often the most popular data item gathered by LinkedIn scraping.
With all the data available, LinkedIn scraping facilitates
- establishing more personal connections,
- building lead lists,
- empowering promotions, and
- conveying business arrangements.
The more information you scrape and analyze, the better you can segment your audience to improve and personalize your campaign messages, no matter whether they are aimed at marketing, establishing connections, or generating leads.
However, LinkedIn scraping is a rather challenging process and there are things one should keep in mind while parsing data from this site. First of all, after the hiQ Labs v. LinkedIn case, LinkedIn implemented a tough anti-scraping policy and measures that frequently change. The volume of information is enormous, and handling it requires the necessary experience.