It was great talking to you today and as discussed in the meeting, I have written below all the points discussed in the meeting. I would request you to search the italics portion on google search engine and also please visit the links as well to get a more clear idea of my suggestions.


Our main objective is to build a Global Directory of DLT / Blockchain Educational Programs as discussed in the interview, there are two ways to implement it. First way can be a hard one as it will be more time consuming and less approachable to all people, while the second step will be easy and less time consuming and more approachable to all people.

  1. Virtual meetups: Organize virtual meet ups with students interested in blockchain, company employees with blockchain expertise, blockchain educators and regular blockchain learners. This goal can be achieved if we talk with the Corporate Relation department of engineering colleges and ask them to spread out the meetup agendas to their students via their mailing list. This will help their college students to explore more as company employees with blockchain expertise can take sessions on blockchain. We can approach company employees with blockchain expertise, blockchain educators and regular blockchain learners through LinkedIn searches and thus collect their contact information. We can also look into the MeetUp app and talk with blockchain speakers to join our directory.

 

  1. Web crawling and online searches: To get the details of blockchain professors/ educators/enthusiasts, we can do it through google searches and scrap out the data from there. For example, we can type                                               

site:linkedin.com "@gmail.com" "University of Nicosia" "blockchain" 

OR site:linkedin.com "@gmail.com" "India" "blockchain enthusiast"   

OR site:linkedin.com "@gmail.com" "India" "learning blockchain " on google search engine and scrap all the data of people associated with blockchain apart from professors as well.

Then another way is to look at websites where blockchain freelance educators are present like

https://www.teacheron.com/online-blockchain-tutors , https://www.superprof.co.in/lessons/blockchain/india/ ,

https://www.teacheron.com/blockchain-tutors-in-india

We can ask them out to be a part of our blockchain directory.

 

In case of searching the right keywords for website crawling, at first, we need to search some keywords by ourselves like blockchain teachers, educators, students, enthusiasts on google search engine. Then we can give the URL of the first few websites which come up on the top search list to UberSuggest. From UberSuggest, we can find out more list of keywords for which that website ranks. Thus, we have a set of keywords for crawling.

UberSuggest link:    https://app.neilpatel.com/en/dashboard   

 

The beautiful soup library of python is useful in building web scrapers, we can make scrapers if all the websites are figured out. https://www.crummy.com/software/BeautifulSoup/bs4/doc/

Using Beautiful Soup library is good if one have necessary coding skills and thus build a crawler out of it. But, if the goal is only to extract email ids and its verification, then https://snov.io/  will be at better place.


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  1. Piyush Sharma

    Using Beautiful Soup library is good if one have necessary coding skills and thus build a crawler out of it. But, if the goal is only to extract email ids and its verification, then https://snov.io/ this website will be at better place.