Collecting contact information of a domain

SEO  |  27.10.2016

Collecting contact info is often a lengthy and time-consuming process for a link builder. In the instructions below, you will learn how to mostly automate this process with the help of Contact Finder Miner that will, thanks to learning algorithms, collect primarily used email, contact website and links to social profiles, from imported domains.
Step 1

Import of domains, that a user wants to collect contact info about

To import data, a user uses the section Domain Miners, where they import domain dataset using one of the methods of import. In contact info collecting, it will be the dataset of domains of the link builder( i.e. form the market research), of which they want to collect contact info.

Example of domain import through clipboard in Domain Miners section

It is useful to give the report a name, by clicking on Dataset name that makes it easy to be identified. In case a user wants to save input dataset for future use for different purposes, they can check the box Save dataset.

Example of saving dataset

By clicking on Miner selection a user then gets to the miner selection.

Step 2

Miner selection and contact info collection

In the miner selection, a user then selects Contact Finder, which is a miner that, based on the internal algorithm used by many sources (Whois, web,..), tries to get primarily used contact email, contact website, and social web profiles, and then estimates accuracy of its selection.

Selection of Contact Finder miner

User then clicks on Get data, which will move them into data processing section. Based on data volume, they are processed in the background and once completed, results are emailed to a user.

Output example

Column description

List: Data
Keyword/URLDomain that a miner collected contact info about
Primary emailPrimary contact email of a website
Contact PageURL of contact website
Email accuracyEstimated accuracy of collected data in percent
Facebook Page URLURL of a website on social network Facebook
Twitter Feed URLURL of a website on social network Twitter
Google+ Page URLURL of a website on social network Google Plus
LinkedIn Page URLURL of a website on social network LinkedIn
Step 3

Output analysis

An output can then be analyzed by the user with a use of tools that can work with XSLX outputs. We recommend these step-by-step instructions of analysis below:

Excel instructionsLink to download tool
OpenRefine instructionsLink to download tool
Tableau Public instructionsLink to download tool

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