Glassdoor Reviews Scraper — Employee Reviews & Ratings

Extract employee reviews from Glassdoor including ratings, pros, cons, job titles, and review dates. Search by company name or provide direct Glassdoor URLs. Supports pagination to collect large review datasets. Built for employer brand analysis, HR research, and competitive intelligence.

Features

• Review Details — Extract review title, overall rating, pros, cons, and full review text
• Company Search — Find companies by name and automatically navigate to their review pages
• Direct URL Support — Provide Glassdoor company review page URLs for precise targeting
• Multi-Method Parsing — Extracts data from JSON-LD, HTML review cards, and embedded JSON state
• Auto-Pagination — Navigates through multiple review pages to reach your collection limit
• Author Info — Capture reviewer job title and employment details when available
• Date Tracking — Review publication dates for temporal analysis of company sentiment
• Configurable Sorting — Sort reviews by date or relevance

Output Example

{
  "companyName": "Google",
  "title": "Great culture but work-life balance varies by team",
  "rating": 4.0,
  "pros": "Amazing benefits, free food, smart colleagues, cutting-edge projects, strong engineering culture",
  "cons": "Work-life balance depends heavily on your team and manager. Some teams have intense on-call rotations.",
  "text": "Amazing benefits, free food, smart colleagues... Work-life balance depends heavily on your team...",
  "author": "Senior Software Engineer - Current Employee",
  "datePublished": "2026-02-15",
  "scrapedAt": "2026-03-18T14:30:00.000Z"
}

Use Cases

• Employer Brand Analysis — Monitor how employees perceive your company vs competitors
• HR Research — Identify recurring workplace issues and improvement areas from review patterns
• Competitive Intelligence — Understand competitor company culture, benefits, and pain points
• Job Seeker Research — Aggregate reviews to make informed career decisions at scale
• Sentiment Tracking — Analyze how employee sentiment changes over time for specific companies
• Compensation Research — Cross-reference review data with reported salary and benefits information

Input Parameters

Parameter	Type	Default	Description
companyUrls	array	[]	Glassdoor company review page URLs
searchQueries	array	[]	Company names to search (e.g., "Google", "Microsoft")
maxReviewsPerCompany	integer	30	Maximum reviews to extract per company (1-500)
sortBy	string	"date"	Sort reviews by "date" or "relevance"

How It Works

The scraper uses CheerioCrawler with User-Agent rotation to navigate Glassdoor pages. For company searches, it first finds employer profiles from search results and converts overview URLs to review page URLs. Reviews are extracted using three methods in priority order: JSON-LD structured data, HTML review card selectors, and embedded JavaScript state parsing. Pagination increments the page number in the URL to collect additional reviews.

Limitations

• Glassdoor may require CAPTCHA verification or login for some pages; using Apify Proxy with residential IPs is recommended
• Review data availability depends on Glassdoor's anti-scraping measures, which may limit results in some cases