Project Title: Scrape Online Employee Review Database
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.
Number of Employees
Founded Company Type
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
Company Number of Approves of CEO
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 Job Title
Review Employee Status
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 email@example.com.
I need to collect some job data so need your help.
For each job opening, I need you to parse Job Title, Job Location, Company Name, Job Post Date, Job Details, etc.
Can you scrape Indeed Applications for interview answers and possibly resume information from indeed.com?
We are having a list of thousands of companies and need to get their reviews from Glassdoor.com
Is it feasible for you? If yes, what would be the approach of scraping?
We need someone to scrape company reviews from https://www.reviews.co.uk/ every week. I’ll provide a list of data fields.
let me know if you can do this?
What would be the price to extract Business Reviews Weekly from Google Maps? Can you provide free samples for review.
Can you guys extract employee reviews from https://www.seek.com.au/ for the given list of Australian companies?