🚀 Glassdoor Scraper - Reviews, Salaries, Interviews & More

Extract comprehensive company data from Glassdoor, including employee reviews, salary estimates, interview experiences, job listings, office locations, benefits, culture & diversity ratings, and full company overviews. Supports all 18 international Glassdoor domains.

Whether you're doing competitive research, benchmarking salaries, or analyzing employer brands, this tool collects everything Glassdoor has to offer in one simple run. No technical knowledge required.

Target Audience: HR professionals, recruiters, market researchers, investors, business analysts, job seekers Primary Use Cases: Salary benchmarking, employer brand analysis, competitive intelligence, workforce analytics

📊 What Does Glassdoor Scraper Do?

This tool collects data from glassdoor.com and all its international domains. It delivers:

• ⭐ Reviews - Employee feedback with ratings, pros, cons, advice, CEO approval, and employer responses
• 💰 Salaries - Compensation data by job title (base pay, total pay, bonuses, stock, tips, commissions)
• 🎤 Interviews - Interview experiences with questions, difficulty ratings, and outcomes
• 💼 Jobs - Active job listings with pay ranges and application links
• 📍 Locations - Office addresses with GPS coordinates
• 🏢 Overview - Company details (industry, size, revenue, competitors, awards, certifications)
• 🎁 Benefits - Employee benefit reviews and statistics by category
• 🌍 Culture & Diversity - Demographic ratings across multiple categories
• ✨ All - Scrape everything above in a single run

Business Value: Get a 360-degree view of any company's employer profile. Save hours of manual research and get structured data ready for analysis in seconds.

🔧 Input

To start collecting Glassdoor data, fill in the input form. You can provide data in two ways:

• Start URLs - Direct Glassdoor URLs (supports reviews, salaries, interviews, jobs, overview, benefits pages from any international domain)
• Company Name - Search for a company by name (great when you don't have the URL)

Then choose your Command to pick what data to collect. Use "All (Everything)" to get all data types in one run.

Example using Start URLs

{
    "startUrls": [
        { "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm" }
    ],
    "command": "reviews",
    "maxItems": 10
}

Example using Company Name

{
    "companyName": "Microsoft",
    "command": "all",
    "maxItems": 50
}

Example with multiple companies

{
    "startUrls": [
        { "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm" },
        { "url": "https://www.glassdoor.com/Reviews/Apple-Reviews-E1138.htm" },
        { "url": "https://www.glassdoor.fr/Avis/Amazon-Avis-E6036.htm" }
    ],
    "command": "salaries",
    "maxItems": 100
}

📊 Output

After the run finishes, you'll get a dataset with structured results. You can download them as Excel, CSV, JSON, HTML, or XML.

Review output example

{
    "reviewId": 12345678,
    "ratingOverall": 4,
    "summary": "Great place to work",
    "pros": "Amazing culture, smart colleagues, great benefits",
    "cons": "Work-life balance can be challenging",
    "advice": "Keep investing in employee development",
    "jobTitle": { "text": "Software Engineer" },
    "location": { "name": "Mountain View, CA" },
    "employmentStatus": "REGULAR",
    "reviewDateTime": "2025-12-15T00:00:00.000Z",
    "dataType": "review",
    "companyName": "Google",
    "employerId": 9079,
    "scrapedAt": "2026-02-24T12:00:00.000Z"
}

Salary output example

{
    "jobTitle": { "text": "Software Engineer" },
    "salaryCount": 2847,
    "currency": { "code": "USD" },
    "basePayStatistics": { "percentiles": [{ "ident": "MEDIAN", "value": 180000 }] },
    "totalPayStatistics": { "percentiles": [{ "ident": "MEDIAN", "value": 260000 }] },
    "dataType": "salary",
    "companyName": "Google",
    "employerId": 9079,
    "scrapedAt": "2026-02-24T12:00:00.000Z"
}

Interview output example

{
    "id": 87654321,
    "difficulty": 3.5,
    "experience": "Positive",
    "outcome": "Accepted Offer",
    "processDescription": "Phone screen, technical interview, onsite",
    "jobTitle": { "text": "Product Manager" },
    "userQuestions": [{ "question": "Tell me about a time you led a cross-functional project" }],
    "dataType": "interview",
    "companyName": "Google",
    "scrapedAt": "2026-02-24T12:00:00.000Z"
}

⚡ Why Choose the Glassdoor Scraper?

• 🎯 Complete Data Coverage - 8 data types in one tool. No need for separate scrapers for reviews, salaries, interviews, etc.
• 🌍 International Support - Works with all 18 Glassdoor domains (US, UK, France, Germany, Brazil, India, and more)
• 🔍 Company Name Search - Don't have the URL? Just type the company name and we find it for you
• ✨ "All" Command - Scrape everything about a company in a single run. Competitors require 8 separate runs
• 📦 Multiple Companies - Process multiple companies in a single run by adding multiple URLs
• ⏰ Date Filters - Filter reviews, interviews, and benefits by date to get only recent data
• 📈 Statistics - Optionally include company-level review stats, interview stats, and benefits stats

Time Savings: What takes hours of manual copy-pasting from Glassdoor pages takes just minutes with this tool.

🔧 How to Use

1. 📱 Sign Up - Create a free account w/ $5 credit (takes 2 minutes)
2. 🔍 Find the Scraper - Search for "Glassdoor Scraper" in the Apify Store
3. 🎯 Set Input - Add your Glassdoor URLs or company name, pick a command (reviews, salaries, all, etc.)
4. 🚀 Run It - Click "Start" and let it collect your data
5. 📊 Download Data - Get results in the "Dataset" tab as CSV, Excel, or JSON

No Technical Skills Required. Everything is point-and-click.

💼 Business Use Cases

HR & Talent Acquisition:

• Benchmark salaries against competitors before making offers
• Monitor your employer brand through review sentiment analysis
• Track interview experience trends to improve hiring processes

Market Research & Competitive Intelligence:

• Analyze competitor culture and employee satisfaction
• Compare benefits packages across companies in your industry
• Track hiring trends through job listing data

Investors & Analysts:

• Evaluate company culture as part of due diligence
• Monitor employee sentiment trends over time
• Assess leadership approval ratings and company outlook

Job Seekers & Career Coaches:

• Research potential employers across multiple dimensions
• Prepare for interviews with real interview questions and difficulty data
• Compare compensation packages across companies

🌍 Supported Glassdoor Domains

Domain	Country
glassdoor.com	United States
glassdoor.co.uk	United Kingdom
glassdoor.ca	Canada
glassdoor.com.au	Australia
glassdoor.co.in	India
glassdoor.fr	France
glassdoor.de	Germany
glassdoor.es	Spain
glassdoor.it	Italy
glassdoor.nl	Netherlands
glassdoor.com.br	Brazil
glassdoor.com.mx	Mexico
glassdoor.com.hk	Hong Kong
glassdoor.sg	Singapore
glassdoor.co.nz	New Zealand
glassdoor.at	Austria
glassdoor.ch	Switzerland
glassdoor.be	Belgium

❓ Frequently Asked Questions

Q: How does it work? A: The Glassdoor Scraper connects directly to Glassdoor's data to collect company information. Just provide a URL or company name, choose what data you want, and click Start. No coding needed.

Q: How accurate is the data? A: The data comes directly from Glassdoor and is collected in real-time. What you see on Glassdoor is exactly what you get in the output.

Q: Can I schedule regular runs? A: Yes. You can set up automated schedules to run the scraper daily, weekly, or at any custom interval. Great for monitoring trends over time.

Q: Do I need residential proxies? A: Yes. Glassdoor requires residential proxies to access their data. The tool is pre-configured with Apify's residential proxy group for the best results.

Q: Can I scrape multiple companies at once? A: Yes. Add multiple Glassdoor URLs in the Start URLs field and the scraper will process all of them in a single run.

Q: What does the "All" command do? A: The "All" command collects every type of data (reviews, salaries, interviews, jobs, locations, overview, benefits, and culture) for each company. It's the most comprehensive option.

🔗 Integrate Glassdoor Scraper with any app and automate your workflow

Glassdoor Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform.

These include:

• Make
• Zapier
• Slack
• Airbyte
• GitHub
• Google Drive
• and much more.

Alternatively, you can use webhooks to carry out an action whenever an event occurs, e.g. get a notification whenever Glassdoor Scraper successfully finishes a run.

Using Glassdoor Scraper with the Apify API

For advanced users who want to automate this process, you can control the scraper programmatically with the Apify API. This allows you to schedule regular data collection and integrate with your existing business tools.

• Node.js: Install the apify-client NPM package
• Python: Use the apify-client PyPI package
• See the Apify API reference for full details

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Pro Tip: 💡 Browse our complete collection of data collection actors to find the perfect tool for your business needs.

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Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Glassdoor or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.