Glassdoor is an online platform where current and former employees anonymously share company reviews, salary information, and interview experiences. It helps job seekers research employers while allowing companies to showcase their workplace culture and job opportunities.
Benefits of Scraping Glassdoor Reviews
The following are some of the benefits of scraping reviews data from Glassdoor:
- 1. Get insights into company cultures, compensation, and working conditions from employee reviews.
- 2. Understand industry trends in employee satisfaction and requirements.
- 3. Identify key attributes which attract and retain talent.
- 4. Identify employee pain points that can be addressed to improve retention.
- 5. Assess company health and culture.
- 6. Study correlations between company practices and employee satisfaction.
- 7. Automate the extraction of review data into a spreadsheet format for analysis.
Watch Video : Glassdoor Reviews Scraping
The following video shows how WebHarvy can be configured to scrape reviews data from Glassdoor website
Using WebHarvy To Scrape Glassdoor Reviews
If you're looking to scrape Glassdoor reviews without coding, WebHarvy is one of the easiest tools available. WebHarvy is a visual, point-and-click web scraping software that allows you to extract data from websites without writing any code. Instead of using Python, Selenium, or other programming libraries, you simply click on the data you want to capture, and the tool automatically detects similar elements across pages.
Scraping Glassdoor manually can be time-consuming, and coding-based methods require technical knowledge. WebHarvy simplifies the process by offering:
- 1. No coding required
- 2. Visual point-and-click interface
- 3. Automatic detection of repeated data (reviews, ratings, job titles)
- 4. Pagination handling
- 5. Export options (CSV, Excel, JSON, XML)
- 6. Built-in browser for dynamic websites
What Data Can You Extract from Glassdoor Using WebHarvy?
- 1. Company name
- 2. Review titles
- 3. Employee ratings
- 4. Pros and cons
- 5. Reviewer job titles
- 6. Review dates
- 7. Location information
The extracted data can then be exported into CSV or Excel format for analysis, reporting, or business research.
Step-by-Step Guide to Scraping Glassdoor Reviews
- 1. Download and install WebHarvy in your computer
- 2. Load the Glassdoor company reviews page within WebHarvy's configuration browser. You will need to login to your Glassdoor account to access the reviews page.
- 3. Start Configuration
- 4. Click to select any data which you need to scrape. Details like review title, role, location, pros and cons, rating etc. can be selected for extraction by clicking over its text. Clicking over any text or image displayed on the page brings up a Capture window with various options. Select the Capture Text option to scrape the text of the clicked item.
- 5. To scrape reviews from multiple pages, scroll down the page and click on the link to load page number 2. Select the Set as next page link option from the resulting Capture window.
- 6. Once you have selected all required data, Stop Configuration
- 7. You may now optionally save the configuration
- 8. Start Mine to start scraping data
- 9. Once mining completes, the scraped data can be exported to a file or database for further processing and analysis.
Scraping Glassdoor Job Listings Data
WebHarvy can also be used to scrape job listings data from Glassdoor. The steps to scrape job listings data are similar to that of scraping reviews data. The video displayed below shows how WebHarvy can be configured to scrape job listings data from Glassdoor website.
Download and Try WebHarvy
We recommend that you download and try using the free evaluation version of WebHarvy. In case you have any questions, please contact our technical support team .