Data Extraction

The objective of the project is to collect emails of academic and research staff like professors, lecturers, researchers, phd students, postdoctoral students,administrator, HR manager, recruiter and similar staff, and located on the websites of the given universities. The source of emails is webometrics website: [url removed, login to view] , where are located links to the ranking of universities in each country and inside of a given university the most often emails of academic and research staff can be found at the level of academic departments. So, you open a website of a given university and identify where are located the sublinks to academic department or schools or faculty or research centers and inside you will find emails.

For each given group you collect emails to the separate groups (to Notepad files), in one column. Emails should be also cleaned, without any additional useless signs and comments. You collect it into 18 separate groups, so, you will do your report in 9 separate Notepad files for normal emails, and 9 separate groups for bosses emails. For example:


professors, lecturers, researchers, phd students, postdoctoral students, postdoc and similar ONLY FROM the academic disciplines/departments of:


head of academic departments, deans, secretary of the dean, secretary of head of department, departamental administrator, HR manager, recruiter and similar ONLY FROM the academic disciplines/departments of:


DO NOT take any wrong emails: wrong emails are emails of any or similar: data managers, IT managers, IT security officer,

Please find the content of 9 Notepad groups to which I want to collect those emails (18 groups = 9 normal groups, 9 bosses groups)


1. computer science, computer technology, informatics, computer engineering, electrical engineering, electronic engineering, software engineering, mathematics, mathematical sciences , logic, statistics, and similar

2. mechanical engineering, civil engineering, environmental engineering, architectural engineeerig, manufacturing engineering etc.

3. psychology, neuroscience, neurobiology and similar

4. physical sciences (physics, chemistry, astronomy , astrophysics , space sciences) , earth sciences - geoscience (including geology, geophysics, geography , geodesy, geochemistry, glacialogy, hydrology, meterology, mineralogy, oceanography, tectonics, volcanology and similar earth sciences/geosciences) and similar

5. education, arts, languages, English language, area studies, cultural studies education (including education, pedagogy, curriculum and instruction, counselor education, special education, teacher education, educational leadership, educational philosophy, educational psychology , languages (including languages, English languages, other languages, linguistics) area studies, cultural studies (including for example: Asian studies, European studies, American studies,..) and similar

6. business sciences (business, economics, marketing, accountancy, finance, strategy, management and similar). It is academic, and it is not support staff in finance or accountancy services for example. Important not to mistaken.

7. sociology, political science, politics and similar


You give to the files the short names like: Gr. 1 Computer/Electrical/Electronic/Mathematics , Gr. 1A BOSSES - Computer/Electrical/Electronic/Mathematics

and so on...

You report me the test work and also later the final work by skype.

As a test work please do into 18 group (9+9) from Canada ; University of British Colombia

Rate we will discuss after I see the quality of your text work.


Skills: Data Entry, Data Mining, Excel, Web Scraping, Web Search

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( 0 reviews ) India

Project ID: #12135558

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Hello: Greeting for the day! We have gone through your job post and are very excited about bringing your project on board. We are design and development company and providing outsource services. Our main expertise More

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APPLY Greetings of the day! I would love to assist you with the project. I have been working as a data analyst for last 3 years now. I can assure you the best quality work. Would love to hear back and discuss more o More

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APPLE Hi, i'm happy to do this as i've recently been working on a similar project involving building a web crawler and web extraction- for extracting addresses for businesses in Malaysia. I'm happy to discuss detail More

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Hello APPLY I’m very interested in your job post involving these skills. I have good experience in Data Entry, Data Mining, Excel, Web Scraping and Web Search. I believe my skills would be ideal for your project. More

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