This article is also available in:
Which of your or your competitor's articles are shared the most? And why is that? How to collectively obtain data on a number of social interactions of an URL dataset?

Social signals miner is here to find that out and more. It goes over the input URL dataset and inquires about individual social networks for those URL. From these, he then gets data on a number of shares, likes, tweets and other social interactions. A user can then easily look into how much are their or their competition's specific URL shared (successful on social media) and why is that.

Input URL selection

The most common input of Social signals miner is an URL sitemap or a list of URL of web articles. Sitemap can be input as its URL and the miner will then process its content and parses an URL from it. In another case it is sufficient to download a list of URL to the input by inserting data from clipboard (CTRL+V) or with a file (CSV, TSV, XLSX):

After inserting the data, a user clicks on Select miners.

Miner selection

In the second step, a user selects the Social signals miner and clicks on Get data.

Data processing and analysis

An output for the user is in form of a table of URL and information about their social signals. The table can look like this:

Example of output report

Column description

Facebook shares: Number of URL shares in the social network Facebook.
Google +1: Number in the social network Google plus.
LinkedIn shares: Number of URL shares in the social network LinkedIn.
Pinterest pin counts: Number of pins in the social network Pinterest.
Stumbleupon views: Number of URL views in the social network network StumbleUpon.
Was this article helpful?
Thank you!