Glassdoor Jobs & Reviews Scraper

Extract job listings, company reviews, and salary data from Glassdoor at scale. No login required.

What does this scraper do?

This actor scrapes publicly available data from Glassdoor:

• Job Listings — Title, company, location, salary range, rating, job type, easy apply status, posting date
• Company Reviews — Reviewer job title, overall rating, pros, cons, sub-ratings (work-life balance, compensation, career opportunities, culture, management), recommendation status
• Pagination — Automatically follows pages to collect up to 500 results per run

Use Cases

• Salary Research — Compare compensation across companies and locations for specific roles
• Competitive Intelligence — Monitor what competitors' employees say about culture, management, and direction
• Job Market Analysis — Track hiring trends, in-demand skills, and salary ranges by location
• Employer Branding — Understand how your company is perceived vs. competitors
• Academic Research — Analyze workplace satisfaction trends across industries
• HR & Recruiting — Benchmark salaries and identify companies with high turnover signals

Input

Field	Type	Description
mode	enum	jobs, reviews, or both
keyword	string	Job title or search term (e.g. "data scientist")
location	string	City/state/country (e.g. "New York, NY")
companyName	string	Company for reviews (e.g. "Google")
maxResults	integer	Max results (1-500, default 50)
includeSalary	boolean	Extract salary data (default true)
sortBy	enum	relevance, date, salary_high, salary_low, rating

Example Input

{
    "mode": "jobs",
    "keyword": "software engineer",
    "location": "San Francisco, CA",
    "maxResults": 50,
    "sortBy": "date"
}

Output — Jobs

{
    "type": "job",
    "title": "Senior Software Engineer",
    "company": "Stripe",
    "location": "San Francisco, CA",
    "salary": "$180,000 - $250,000 USD",
    "rating": 4.2,
    "url": "https://www.glassdoor.com/job-listing/j?jl=123456",
    "jobId": "123456",
    "postedDate": "2026-03-18",
    "jobType": "Full-time",
    "easyApply": true,
    "scrapedAt": "2026-03-20T04:15:00.000Z"
}

Output — Reviews

{
    "type": "review",
    "company": "Google",
    "reviewerTitle": "Software Engineer",
    "overallRating": 4,
    "pros": "Great compensation, brilliant colleagues, interesting problems",
    "cons": "Bureaucracy, slow promotion cycle at senior levels",
    "summary": "Great place to grow early career",
    "date": "2026-03-15",
    "employmentStatus": "Current Employee",
    "workLifeBalance": 3.5,
    "cultureValues": 4.0,
    "careerOpportunities": 4.5,
    "compensation": 5.0,
    "seniorManagement": 3.0,
    "recommendToFriend": true,
    "scrapedAt": "2026-03-20T04:15:00.000Z"
}

Tips

• Residential proxies recommended — Glassdoor uses Cloudflare. The default proxy setting uses Apify residential proxies.
• Start small — Test with maxResults: 10 first to verify results for your query.
• Reviews need a company — Set companyName when using reviews or both mode.
• Rate limiting — The scraper automatically paces requests to avoid blocks.

Cost Estimate

• ~10 results per page load
• 50 results ≈ 5-6 page loads ≈ ~$0.10-0.25 in platform costs (with residential proxies)

Legal

This actor scrapes only publicly accessible pages on Glassdoor. No login credentials are used or required. Users are responsible for ensuring their use complies with Glassdoor's Terms of Service and applicable laws.