Glassdoor Scraper

Scrape job listings, company reviews, salary data, and interview experiences from Glassdoor. Uses Playwright for JavaScript rendering.

Features

• Job Listings — Search by keyword, location, salary range, job type, and date posted. Returns title, company, location, salary estimate, job type, posted date, and full job description.
• Company Reviews — Scrape reviews with overall rating, pros, cons, advice to management, reviewer info, date, helpful votes, and sub-ratings (culture, work-life balance, compensation, career opportunities, senior management, diversity).
• Salary Data — Scrape base pay range, total pay range, additional pay, and number of salaries reported. Search by job title or scrape by company.
• Interview Experiences — Scrape difficulty rating, experience sentiment, interview questions, process description, offer status, application method, and date.
• Company Profiles — Scrape company overview including rating, CEO approval, recommend to friend %, size, industry, revenue, headquarters, founded year, and sub-ratings.

Input

Field	Type	Default	Description
scrapeMode	enum	jobs	What to scrape: jobs, reviews, salaries, interviews, or companyProfile
searchKeyword	string		Search keyword (e.g., "Software Engineer", "Google")
location	string		Location filter (e.g., "New York, NY")
companyUrls	array	[]	Direct Glassdoor company URLs for targeted scraping
maxResults	integer	100	Maximum results to scrape (0 = unlimited)
salaryMinimum	integer	0	Minimum salary filter (jobs mode)
salaryMaximum	integer	0	Maximum salary filter (jobs mode)
jobType	enum		Filter: fulltime, parttime, contract, internship, temporary
datePosted	enum		Filter: 1 (24h), 3, 7, 14, 30 days
reviewSort	enum	date_desc	Sort reviews: date_desc, date_asc, rating_desc, rating_asc, helpfulness
reviewMinRating	integer	0	Minimum review rating filter (1-5)
includeJobDescription	boolean	true	Visit each job page for full description (slower)
maxConcurrency	integer	3	Parallel pages (lower = safer)
proxyConfiguration	object	Apify Residential	Proxy settings (residential recommended)

Example Input

Search for jobs

{
    "scrapeMode": "jobs",
    "searchKeyword": "Data Scientist",
    "location": "San Francisco, CA",
    "maxResults": 50,
    "salaryMinimum": 120000,
    "jobType": "fulltime",
    "includeJobDescription": true
}

Scrape company reviews

{
    "scrapeMode": "reviews",
    "companyUrls": ["https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"],
    "maxResults": 200,
    "reviewSort": "date_desc",
    "reviewMinRating": 0
}

Scrape salary data

{
    "scrapeMode": "salaries",
    "companyUrls": ["https://www.glassdoor.com/Salary/Google-Salaries-E9079.htm"],
    "maxResults": 100
}

Scrape interview experiences

{
    "scrapeMode": "interviews",
    "searchKeyword": "Product Manager",
    "location": "New York, NY",
    "maxResults": 50
}

Output

Results are stored in the default dataset. Each result includes a type field (job, review, salary, interview, or companyProfile) and a scrapedAt timestamp.

Job Listing Output

{
    "type": "job",
    "title": "Senior Software Engineer",
    "company": "Google",
    "location": "Mountain View, CA",
    "salaryEstimate": {
        "text": "$150K - $250K (Employer est.)",
        "min": 150000,
        "max": 250000,
        "currency": "USD",
        "period": "yearly",
        "type": "employer_estimate"
    },
    "jobType": "Full-time",
    "postedDate": "3d",
    "easyApply": false,
    "rating": 4.4,
    "url": "https://www.glassdoor.com/job-listing/...",
    "description": "Full job description text...",
    "scrapedAt": "2025-01-15T10:30:00.000Z"
}

Review Output

{
    "type": "review",
    "company": "Google",
    "reviewTitle": "Great company with amazing perks",
    "overallRating": 5,
    "pros": "Excellent benefits, smart colleagues...",
    "cons": "Can be bureaucratic at times...",
    "adviceToManagement": "Keep innovating...",
    "reviewerTitle": "Software Engineer",
    "reviewerLocation": "Mountain View, CA",
    "reviewDate": "Jan 15, 2025",
    "employmentStatus": "Current Employee",
    "helpfulCount": 12,
    "cultureRating": 4.5,
    "workLifeBalanceRating": 4.0,
    "compensationRating": 5.0,
    "careerOpportunitiesRating": 4.5,
    "seniorManagementRating": 3.5,
    "scrapedAt": "2025-01-15T10:30:00.000Z"
}

Pricing

This actor uses Pay-Per-Event pricing at $1.00 per 1,000 results ($0.001 per result).

Anti-Bot Handling

The scraper uses several techniques to avoid detection:

• Session pool with automatic rotation
• Realistic browser fingerprinting (user agent, viewport, WebGL, plugins)
• Navigator property overrides to remove automation flags
• Human-like delays between actions and page loads
• Random scrolling behavior
• Cookie persistence per session
• Residential proxy support (strongly recommended)

Tips

• Use residential proxies — Glassdoor aggressively blocks datacenter IPs. Apify residential proxies are selected by default.
• Keep concurrency low — 2-3 concurrent pages works best. Higher values increase block risk.
• Start with small runs — Test with maxResults: 20 before scaling up.
• Direct URLs are faster — When you know the company, provide companyUrls instead of searching.

Limitations

• Glassdoor may require login for some data after a few pages. The scraper extracts what is publicly visible.
• Page structure changes may require selector updates. The scraper uses multiple fallback selectors for resilience.
• Very high-volume scraping may trigger CAPTCHAs despite stealth measures.