Project Title: Scraping Company Reviews from Glassdoor
I would like to have the universe of Glassdoor reviews, with all available information, in machine readable format.
Preferably STATA format, although SAS is also acceptable.
A sample of the format/type of information I am looking for is attached. But I would like this for ALL glassdoor reviews.
For example I would be looking for review level information such as:
Date of Rating
Culture and Values Rating
Career and Opportunities Rating
Compensation and Benefits Rating
Whether the Employee recommends the company
Rating of Senior Management
Approval of CEO
Whether the Employee has a positive outlook on the company
Title of Review
Pros (Full Text)
Cons (Full Text)
Advice (Full Text)
Is this something you can do? What will be the price?
Also, please let us know if you can monthly refresh this database and provide us with the new reviews posted.
For similar work requirement feel free to email us on firstname.lastname@example.org.
Given review links for 450 mobile apps, this project is to collect Google Play reviews for these mobile apps from https://www.appannie.com/en/.
I need to crawl all employee reviews of some 500-600 companies on Glassdoor.
Data to be collected include date, employee’s location and position, company rating, and text content (pros, cons, etc.), and to be put into a manageable format such as excel.
Glassdoor will block simple crawler software within minutes, so extra work and skills will be required to complete this task.
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