The advantage of using a command-line applications is usually better performance and ability to post-process results better than with the web applications or browser extensions. In this article, I’m going to focus on the last one and that’s how to practice OSINT using Linux-based systems – more specifically over so called CLI ( Command Line Interface) applications. up to a dedicated Linux-based OSINT distributions (OSINTTUX, Kali Linux, Buscador).web applications and plugins (username search engines, e-mail verification services).common search engines (Google, Yandex, etc.).the usage without any 3rd party tools (e.g.Sometimes it is not about if you can capture the data only but how efficiently and if you can postprocess those data easily so we also go vertically from: Apollo leak - leaked or scraped databases of various services such as LinkedIn, Clubhouse, etc.) data from the privates social media profiles or from disallowed directories in robots.txt) Other digital data placed off the social media networks (images, maps, resumes, etc.).Native social media data (that’s what talent sourcers use the most).We can break down the publicly available data into several layers: Discovering information about specific companies (market mapping).Searching for contact information (approaching).Data enrichment on candidates (screening, engagement).To name a few we should definitely include: There are several reasons why you can utilize the OSINT methods in the process of recruitment. That's why I call it surveillance sourcing. The twist is that with OSINT you can go way deeper and challenge what we usually understand as the publicly available data. So, it is safe to say that every LinkedIn search query is OSINT as well and therefore every sourcer or a recruiter uses that on everyday basis.

OSINT is a methodology for collecting and analyzing data from publicly available sources.

OSINT (Open-source Intelligence) methods has been already commonly adopted by the talent sourcing community.

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