💼 Glassdoor Scraper

🚀 Pull Glassdoor employee reviews, salaries, and ratings by company. Export structured records for any Glassdoor employer across 18 international domains in minutes. No API key, no login, no manual copy-paste.

The Glassdoor Scraper collects employee reviews, salary reports, interview experiences, jobs, benefits, office locations, and culture-and-diversity data from any Glassdoor company page. Point it at a Glassdoor employer URL (for example https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm) or search by company name, and get back clean structured JSON.

The scraper understands every regional Glassdoor domain (.com, .co.uk, .fr, .de, .es, .nl, .com.br, .ca, .com.au, and more), supports date filters and multi-language review pulls, and works across any public employer profile. Output works directly in spreadsheets, BI tools, or your data warehouse.

📋 What the Glassdoor Scraper does

Eight structured collection modes in a single run:

• 📝 Reviews. Overall rating, CEO rating, pros, cons, advice, work-life balance, culture, diversity, and employer responses.
• 💰 Salaries. Base pay, total pay, bonuses, stock, profit sharing, and tips by job title and currency.
• 🎤 Interviews. Questions, outcomes, difficulty, experience, offer status, and source per report.
• 💼 Jobs. Open roles with title, location, pay range, easy-apply flag, and optional full job description.
• 🧭 Overview. Headquarters, company size, industry, revenue, founded year, and website.
• 📍 Locations. Office addresses across cities and countries.
• 🎁 Benefits. Benefit categories, ratings, comments, and employee reviews.
• 🌈 Culture & Diversity. Demographic distributions, diversity programs, and culture ratings.

Pick a single mode with the command field (reviews, salaries, interviews, jobs, overview, locations, benefits, cultureDiversity) or pass "all" to sweep everything in one run. Date filters (reviewsStartDate, interviewsStartDate, benefitsStartDate) restrict output to recent records only.

💡 Why it matters: Glassdoor hosts millions of firsthand employee reports across tens of thousands of companies. That corpus is one of the most cited sources for compensation benchmarks, employer-brand sentiment, and hiring competitive intelligence. Building your own collector means handling pagination, language variants, and fragile HTML. This Actor returns clean JSON you can load straight into analysis.

📊 Data fields

Each record includes: all, reviews, salaries. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

⚠️ Good to Know: results reflect what is publicly visible on the matching Glassdoor regional domain. Review counts, salary samples, and translated content vary by country and by the reviewer's chosen language. When you need full coverage, enable includeAllReviews and includeAllSalaries.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Glassdoor Scraper page on the Apify Store.
3. 🎯 Set input. Paste a company URL (or company name), pick a command, set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

🔗 Recommended Actors

• 💼 Glassdoor Jobs Scraper - Job postings from Glassdoor with salary, location, and JSON-LD schema
• 🔍 Indeed Scraper - Job listings and company pages from Indeed
• 🏢 LinkedIn Company Profiles Scraper - Company size, industry, specialties, and follower counts
• 💼 ZipRecruiter Scraper - Jobs from ZipRecruiter with pay and company metadata
• 🧑‍💻 CareerBuilder Scraper - Job postings from CareerBuilder with salary and location

💡 Pro Tip: browse the complete ParseForge collection for more HR and talent-intel scrapers.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Glassdoor or its parent company. All trademarks mentioned are the property of their respective owners. Only publicly available data visible to any signed-out visitor is collected.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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