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Glassdoor Scraping | To Extract the Latest Job Listings Details!

Glassdoor is a popular and reputable job website. It has job listings with company and employee reviews. It also has interview tips for several job categories. The website has many users who seek to use the site's data to land a job or research a particular company. Job seekers and employers can sometimes use this job data for comparison purposes.

You can extract data from Glassdoor in several ways. However, the most efficient way is using a web scraper. Glassdoor scraping allows you to extract data related to job listings and company reviews.

Below, we have listed the best web scrapers for Glassdoor scraping. We have also given the step-by-step guide to the best approach when scraping Glassdoor.

How to Do Glassdoor Scraping

You can extract Glassdoor data using the following web scraping tools.

  • Parsehub

  • Python script

glassdoor homepage capture

How to Scrape Glassdoor Using Parsehub

Use the procedure below to scrape data from Glassdoor using Parsehub.

  1. Download Parsehub. It is a free download resource.

  2. Next, proceed to install it on your PC.

  3. Boot the tool, then select the New Project tab.

  4. Input the job listings you want to scrape. You're supposed to enter their responsive URLs.

  5. Click on the first job listing title on the list. This function will highlight the selected title in green. The remaining job titles will have a yellow highlight.

  6. Proceed to choose the remaining titles by clicking on the second job title on the list.

  7. Rename the selection to Listing. You can access this at the sidebar to the left of the page interface.

  8. Click on the (+) symbol adjacent to your listing and select the Relative Select option.

  9. Click on the first listing title and select the company name above the title. This function will show an arrow.

  10. Repeat this step (step 9) on the subsequent job listing title to train the scraper.

  11. Rename the selection you make for Company. This function is found on the sidebar to the left of the page.

  12. Repeat the selection and renaming procedure for the Company's listing salary and job location.

  13. The next step is to add pagination to your scraper. You need to add pagination to scrape data from the remaining pages because, at this point, the scraper will extract data from the current page (page 1) only. To do so, use the steps below.

    1. Select the (+) symbol. This should be adjacent to your page selection.

    2. Click on the Next page and rename this selection to Next.

    3. Locate the Expand icon and click on it. This icon is found adjacent to your Next command.

    4. Preceding the Next command are the extractions. Delete both of them.

    5. Select the (+) symbol followed by the Click command.

    6. On the prompt text that pops up, click Yes. This function confirms that the resource is a Next page link.

    7. Enter the number of times you need the scraper to run. For instance, if you configure the value to 9, the tool will scrape the site ten times.

  14. You're now set to run the scraper. To do this operation, follow the guide below.

    1. Select the Get Data tab. This function is the green button on the left sidebar. You can also test or schedule your Glassdoor scraping project. In most scraping projects, you can proceed directly to scrape. However, big scraping projects require you to first run a test scrape before undertaking the main project.

    2. Download your scraped data. You can download and store your scraped data locally in JSON file or CSV data file format.

a man typing on the laptop

How to Scrape Glassdoor Using Python Script

A python script is a robust tool when it comes to Glassdoor scraping. It lets you scrape the site to extract data like the company location, name, and job title. You can also browse the job links you collect from the site for job descriptions.

The code below is resourceful for scraping data from the website.

Import Libraries import requests from bs4 import BeautifulSoup as soup Set Headers: headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36'} Send Get request: html = requests.get('https://www.glassdoor.co.in/Job/carlifornia-real-estate-jobs-SRCH_IL.0,11_IC1146821_KE12,26.htm', headers = headers) bsobj = soup(html.content,'lxml') Scrape company name: company_name =[] for company in bsobj.findAll('div',{'class':'jobHeader'}): company_name.append(company.a.text.strip())

An example of the output for individual job links is shown below.

links = [] for i in bsobj.findAll('div',{'class':'jobContainer'}): link = 'https://www.glassdoor.co.in'+ i.a['href'] links.append(link)

To scrape data for individual job description, use the code below.

description = [] for link in links: page = requests.get(link,headers=headers) bs = soup(page.content,'lxml') for job in bs.findAll('div',{'id':'JobDescriptionContainer'})[0]: description.append(job.text.strip())

What’s the Role of Selenium in Python Data Extraction From Glassdoor?

Selenium is a python library that allows you to create a python script to mimic a human user. This is the right solution to scraping Glassdoor to avoid it blocking you. The tool builds a python script that makes the following list of functions.

  • Search for keywords

  • Select individual job titles on the job listing

  • Select multiple tabs on the job description panel

  • Extract data from specified URL links on the website.

Selenium will let you scrape data from Glassdoor in an automated process that requires minimum to no human intervention. The only thing you need to do is specify the element's address to extract.

You should then right-click on the element and select Inspect Element. This function will launch a new Window with the Glassdoor website's HTML content. The specific scraped elements will also be in highlights and arranged in a specific hierarchy.

How About Glassdoor Application Programming Interface (API)?

Glassdoor does not have an official API for job listings. Therefore, there isn't an official established way to obtain job data from the Glassdoor website. The only option to extract job listing data from this website is by doing a web scrape. The web page also lacks an official API for company and employees' reviews.

Extracting data from the website will require you to use a web scraper. The scraper has a scraping Robot's HTML that lets you input the HTML link to the tool. It will then extract the data and store it in a specified data file format. Therefore, you can use the extracted data for competitor comparison, study applications, or personal issues like job seeking.

Can Glassdoor Block You?

Yes, the Glassdoor website can block you. The website integrates anti-scraping technologies into its system to detect aggressive browsing behavior. If you send too many requests at the same time, using the same IP address, the site will block you from accessing their content. Alternatively, your connection speed can go down.

However, you can overcome this issue by using a rotating proxy. This proxy sends requests using different IP addresses to replicate regular web traffic. In doing so, you'll browse and extract unlimited data anonymously without getting noticed or blocked. You can also code a python script that mimics a human being when extracting data from the Glassdoor website.

a graphic illustration of a hand holding magnifying glass over the files

Final Word on Glassdoor Scrapers

Glassdoor scraping has become easy with the application of the various web scraping tools. The lack of an official Glassdoor API has forced many web scrapers to turn to the web scraping tools like parsehub and python script. You can use either of them to scrape job listing information from the site. However, the method you're likely to end up with depends on if you have the technical know-how to apply python in data scraping.

FAQs

1. How Do I Export Data From Glassdoor?

The option to Export your reports is available either under the Report Options drop-down in the top right-hand corner of the Employer Center or in the top right-hand corner of the Jobs Performance section.

2. Is the Glassdoor API Free?

Glassdoor do not freely make API partnerships available. However, they do still offer an API for specific partners, on a case-by-case basis, and are open to new API partnerships where there is a compelling business value for Glassdoor. 

3. Do employers check Glassdoor?

Employers are not allowed to access your personal profile or any personal information you provide on Glassdoor. Additionally, Glassdoor never share any anonymous insights (i.e. reviews, ratings, salary reports, office photos) that you have shared on Glassdoor.

4. Can a company opt out of Glassdoor?

Unfortunately, you can't remove your company profile from Glassdoor.

About Dusan Stanar

I'm the founder of VSS Monitoring. I have been both writing and working in technology in a number of roles for dozens of years and wanted to bring my experience online to make it publicly available. Visit https://www.vssmonitoring.com/about-us/ to read more about myself and the rest of the team.

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