💼 Glassdoor Scraper

Collect reviews, salaries, interviews, and job listings from Glassdoor across all 18 international domains. Whether you're a recruiter benchmarking compensation, a researcher analyzing workplace sentiment, or a business analyst monitoring hiring trends, this actor makes it easy to download Glassdoor data in CSV format without coding. Get the data you need for HR analytics, salary benchmarking, company research, and competitive intelligence.

The Glassdoor Scraper collects reviews, salaries, interviews, jobs, and company data from all international Glassdoor sites with optional date and language filtering.

✨ What Does It Do

• 📝 Reviews - Collect employee feedback and ratings to analyze workplace sentiment, identify company strengths, and track trends over time
• 💰 Salaries - Extract salary reports with statistics on base pay, total pay, and bonuses to benchmark compensation and support HR decisions
• 🎤 Interviews - Gather interview experiences and difficulty ratings to prepare for conversations and understand hiring processes
• 📋 Jobs - Download open positions with descriptions to monitor hiring activity and track recruitment trends
• 📍 Locations - Extract company office locations and employment details to understand organizational presence
• 🏢 Overview - Retrieve company basics including ID, URL, and metadata for organizational records
• 🎁 Benefits - Collect benefit offerings and reviews to analyze compensation packages and employee perks
• 🌈 Culture & Diversity - Gather demographics and workplace culture data to assess organizational values

🔧 Input

• Start URLs - Paste one or more Glassdoor company URLs (from glassdoor.com, .co.uk, .fr, .de, or any of 14 other international domains). Use this OR company name below, not both.
• Company Name - Search for a company by name instead of providing URLs. Example: Google, Apple, Microsoft. Use this OR Start URLs, not both.
• Max Items - Free users are limited to 100 results per run. Paid users can collect up to 1,000,000 per run.
• Command - Choose what type of data to collect: Reviews, Salaries, Interviews, Jobs, Overview, Locations, Benefits, Culture & Diversity, or All (everything in one run).
• Sort Reviews By - Sort reviews by relevance or date (newest first).
• Include All Languages - Include reviews in all languages instead of only the country's default language.
• Include All Salary Languages - Include salary reports in all supported languages.
• Include Review Statistics - Add company-level review stats like overall rating and CEO approval.
• Include Interview Statistics - Add company-level interview stats like difficulty and experience counts.
• Include Benefits Statistics - Add company-level benefits overview.
• Include Job Descriptions -Fetch full job descriptions from detail pages (slower but more complete).
• Reviews Start Date -Only include reviews from this date onwards. Format: YYYY-MM-DD.
• Interviews Start Date -Only include interviews from this date onwards. Format: YYYY-MM-DD.
• Benefits Start Date -Only include benefit reviews from this date onwards. Format: YYYY-MM-DD.
• Proxy Configuration - Residential proxies are required for Glassdoor. The scraper uses Glassdoor's mobile infrastructure which requires residential IPs.

Example configuration:

{
  "startUrls": [
    { "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm" }
  ],
  "maxItems": 100,
  "command": "all",
  "sortReviewsBy": "DATE",
  "includeAllReviews": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

📊 Output

Each company can include up to 8 types of data records. Download as JSON, CSV, or Excel.

👤 Company Name	📊 Data Type	⭐ Rating
📝 Review Summary	👍 Pros	👎 Cons
💼 Job Title	📍 Location	✅ Employment Status
📅 Review Date	💰 Base Pay	💵 Total Pay
🎯 Salary Count	🎤 Interview Experience	📊 Difficulty
📋 Job Description	🏢 Company ID	🌐 Company URL
🎁 Benefit Name	📝 Benefit Review	🏢 Company Size
👥 CEO Name	👍 CEO Approval	🌈 Diversity Data
🗓️ Scraped Timestamp	❌ Error (if any)	📍 Office Location

💎 Why Choose the Glassdoor Scraper?

Feature	Our Actor	Glassdoor Reviews Scraper (getdataforme)
Multi-data collection in single run	✔️	❌
Reviews, salaries, interviews, jobs, benefits, culture	✔️	Partial
All 18 international Glassdoor domains	✔️	❌
Company search by name	✔️	❌
Date filtering for reviews	✔️	❌
Full job descriptions with details	✔️	❌
Company metadata and overview	✔️	❌
Language filtering options	✔️	❌
Job titles, salary data, interview prep	✔️	Partial
Residential proxy support included	✔️	✔️
Export to JSON, CSV, Excel	✔️	✔️
Integration with Make, Zapier, Slack	✔️	❌

📋 How to Use

No technical skills required. Follow these simple steps:

1. Sign Up: Create a free account with $5 credit
2. Find the Tool: Search for "Glassdoor Scraper" in the Apify Store and configure your input
3. Run It: Click "Start" and watch your results appear

That's it. No coding, no setup, no complicated configuration. Now you can export your data in CSV, Excel, or JSON format.

🎯 Business Use Cases

• 💼 HR Manager - Monitor competitor salary ranges and benefits during recruitment planning to ensure your offers stay competitive and attract top talent
• 📊 Market Researcher - Collect employee reviews and interview data across tech companies to identify workplace trends and support industry analysis reports
• 🔬 Financial Analyst - Track hiring patterns and job posting frequency for multiple companies to forecast growth and estimate headcount expansion strategies

❓ FAQ

🔍 How does it work? The actor connects to Glassdoor's mobile infrastructure using residential proxies, which bypasses IP-based blocking and retrieves data at scale. You choose what data to collect and the actor handles pagination and language variations automatically.

📊 How accurate is the data? Data comes directly from Glassdoor's servers, so accuracy matches what appears on the website. Review dates, ratings, and job postings are updated by Glassdoor users in real time.

📅 Can I schedule this to run automatically? Yes. Use the Apify console to schedule runs daily, weekly, or monthly. You can also integrate with Make or Zapier for automated workflows that run on a schedule.

⚖️ Is this legal? Can I use this data? Glassdoor data is publicly available and not protected by robots.txt restrictions. However, you must comply with Glassdoor's Terms of Service and local laws. The data you collect is yours to analyze, but do not republish it or use it to compete directly with Glassdoor.

🛡️ Will Glassdoor block me? Glassdoor actively blocks scrapers that don't use residential proxies. This actor requires Apify residential proxies, which rotate IPs and mimic real user behavior. With proper proxies, blocking is rare.

⚡ How long does a run take? A typical run collecting 100 reviews takes 2-5 minutes depending on internet speed and Glassdoor's responsiveness. Collecting all data types for a company (reviews, salaries, interviews, jobs) takes 10-30 minutes per company.

⚠️ Are there any limits? Free users can collect up to 100 results per run. Paid users can collect up to 1,000,000 results per run.

🔗 Integrate Glassdoor Scraper with any app

• Make - Automate workflows
• Zapier - Connect 5000+ apps
• GitHub - Version control integration
• Slack - Get notifications
• Airbyte - Data pipelines
• Google Drive - Export to spreadsheets

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Browse our complete collection of data extraction tools for more.

🚀 Ready to Start?

Create a free account with $5 credit and collect your first 100 results for free. No coding, no setup.

🆘 Need Help?

• Check the FAQ section above for common questions
• Visit the Apify support page for documentation and tutorials
• Contact us to request a new scraper, propose a custom project, or report an issue at Tally contact form

⚠️ 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.