Glassdoor Reviews Scraper

Scrape public Glassdoor employee reviews for HR analytics, employer brand tracking, recruiting intelligence, competitive research, SEO research, and AI agents.

This actor collects one structured row per review with company context, star rating, review title, pros, cons, dates, employment status, role, location, recommendation signals, business outlook, CEO approval, optional category ratings, and public employer responses when Glassdoor exposes them.

What it extracts

Field	Description
companyName	Company name from the Glassdoor review page
companyRating	Overall company rating when visible
companyReviewCount	Total company review count when visible
rating	Employee review rating
reviewTitle	Review headline
pros	Employee pros section
cons	Employee cons section
adviceToManagement	Advice section when visible
reviewDate	Review date
employmentStatus	Current or former employee signal
jobTitle	Public role or job title when visible
location	Public review location when visible
recommendToFriend	Recommendation signal when visible
businessOutlook	Positive, neutral, or negative outlook when visible
ceoApproval	CEO approval signal when visible
subRatings	Culture, compensation, career, management, and work-life ratings when visible
employerResponse	Public employer reply when visible

When to use it

Use this actor when you need structured employee sentiment from Glassdoor company review pages. It is useful for employer brand monitoring, talent market research, culture benchmarking, investment research, competitive intelligence, and agent-ready company reputation workflows.

Do not use it for Glassdoor jobs, salaries, interviews, or private account-only data. This actor is reviews-only by design so the output stays clean and predictable for MCP and AI-agent use.

Input examples

Direct review URL mode is the most reliable:

{
  "startUrls": [
    { "url": "https://www.glassdoor.com/Reviews/Apify-Reviews-E3100324.htm" }
  ],
  "maxReviewsPerCompany": 25,
  "maxResults": 25,
  "sortBy": "recent",
  "responseFormat": "detailed"
}

Company search mode:

{
  "companyNames": ["Apify", "OpenAI"],
  "maxReviewsPerCompany": 10,
  "maxResults": 20
}

Output example

{
  "recordType": "review",
  "companyName": "Apify",
  "companyUrl": "https://www.glassdoor.com/Reviews/Apify-Reviews-E3100324.htm",
  "companyRating": 4.9,
  "companyReviewCount": 37,
  "reviewId": "91234567",
  "reviewUrl": "https://www.glassdoor.com/Reviews/Employee-Review-Apify-RVW91234567.htm",
  "rating": 5,
  "reviewTitle": "Great culture and strong engineering team",
  "pros": "Transparent leadership, strong product focus, and supportive teammates.",
  "cons": "Some processes are still evolving as the company grows.",
  "reviewDate": "2026-04-20",
  "employmentStatus": "Current Employee",
  "jobTitle": "Software Engineer",
  "location": "Prague",
  "recommendToFriend": true,
  "businessOutlook": "Positive",
  "ceoApproval": "Approve",
  "sourceUrl": "https://www.glassdoor.com/Reviews/Apify-Reviews-E3100324.htm",
  "scrapedAt": "2026-06-12T12:00:00.000Z"
}

Pricing

Event	Price
Actor start	$0.00005 per run
Glassdoor review scraped	$0.01 per review

The actor prints a run-start cost cap based on maxResults. It uses pay per event billing and stops before charging beyond the requested result cap.

Reliability notes

Glassdoor uses Cloudflare protection. This actor defaults to Apify Residential proxies, a real browser, session persistence, fingerprinting, and Cloudflare detection. If Glassdoor blocks a run before any review data is visible, the actor saves a diagnostic row and RUN_SUMMARY instead of silently returning empty data.

For best results, use direct Glassdoor review URLs from the /Reviews/...-Reviews-E...htm page. Company search mode is included for convenience, but direct URLs are more reliable and cheaper.

MCP and AI-agent fit

Tool description: Scrape public Glassdoor employee reviews for company reputation research. Use for HR analytics, employer branding, competitive intelligence, and sentiment workflows. Not for jobs or salaries. Returns one row per review with rating, pros, cons, role, date, and company context. Charged $0.01 per review.

Legal and compliance

Only scrape data you are allowed to access and process. Glassdoor content may be subject to Glassdoor terms, copyright, privacy, and database rights. You are responsible for using the output lawfully, respecting applicable privacy rules, and avoiding collection of private or account-only data.