With the Data Extraction tab, you will be able to create a scraper for any network you want. Just specify a domain and all the XPaths to achieve what you are looking for on specific columns, then you can apply to get new data from Search Engines, Use scraped leads from Leads tab or use internal network search.
We will set many case studies so you know how to configure, but you could add Instagram and extract followers, following, bio, number of posts and name. Sky is the limit, user will be able to expand however they like.

Here is a little explanation on how it works:

This other tutorial shows how it works for Yellowpages:

This other video tutorial will show you how to configure Foursquare network from scratch, finding listing URL patterns for getting results from Search Engines, getting XPath for custom fields into Company table and more:

And finally this one will show you how to set up to scrape Instagram profiles with all full info that you configure in order to select prospects and create Email campaigns properly.

Hopefully this gives you a very good insight on how Data Extractor works, if you have any question please feel free to leave a comment.

This is a new feature that will allow you to discover leads directly from employees on any domain. This might be very useful for many people that later can apply the Pipl API to get deep information from those custom emails or phone numbers.

In this tutorial, you will find how to configure Hunter.io but it will include other API such as Snov.io and many others more so you can gather information and enrich with the Data Extractor tab. Everything is designed to improve on new versions depending on user suggestions and community analysis.