Scraping Glassdoor in 2026: Job Listings, Company Reviews, Salary Data

If you've ever tried to pull data from Glassdoor programmatically, you know the pain. Glassdoor sits behind some of the most aggressive anti-scraping defenses on the web. Yet the data inside — salaries, reviews, job listings, company profiles — is incredibly valuable for anyone building HR tools, salary benchmarking platforms, or job market analytics. In this guide, I'll show you what Glassdoor data looks like, why it's so hard to get, and how to actually scrape it reliably in 2026. What Data Does Glassdoor Have? Glassdoor is one of the richest sources of employment data on the internet: Job listings — title, company, location, salary estimate, posting date Company reviews — star ratings, pros/cons text, CEO approval, recommend-to-friend percentage Salary data — base pay, additional pay, total compensation by role and location Company profiles — headquarters, size, revenue, industry, founded year Interview questions — difficulty rating, experience, offer outcome This makes Glassdoor a