C_Users_Axay_AppData_Local_Packages_Microsoft.SkypeApp_kzf8qxf38zg5c_LocalState_79632c9d-6303-4089-a67c-1b10842106e2

Project Title: Scrape Online Employee Review Database

Project Description:

Scrape and parse the Glassdoor.com website.

I estimate this will involve 10 million to 30 million web page views. As this involves millions of pages it cannot be done manually.

The output should be (almost) the entire glassdoor site:

1) Overview data of all entities.
2) All review data for all entities.
3) Benefit data for all entities.
4) Salary data for all entities.
5) Interview data for all entities.

Data Fields:
Company Name
Website URL
Headquarters Location
Number of Employees
Founded Company Type
Industry
Revenue
Competitors
Number of Reviews
Number of Salaries
Number of Jobs
Number of Interviews
Number of Benefits
Company Overal Rating
Company Culture and Value Rating
Company Work Life Balance Rating
Company Senior Management Rating
CEO Name
Company Number of Approves of CEO
Review Date
Review Overall Rating
Review Culture and Value Rating
Review Work Life Balance Rating
Review Senior Management Rating
Review Career Opportunities Rating
Review Equity Diversity
Review Approves of CEO
Review Title
Review Job Title
Review Employee Status
Reviewer Location
Reviewer Form of Employment

The desired timeframe is within one month but negotiable.

Please let me know the price for the project?

For similar work requirement feel free to email us on info@logicwis.com.