Why Employees Quit - Read a Rival Glassdoor Cons
The cons field is where people say what actually drove them out, which is the part worth answering in a pitch. Reviews are anonymous, so no names or contacts.
What this run is set to
The settings saved on this example. Every one of them is editable once you open it on Apify — these are a starting point, not a limit.
| Setting | Value | What it does |
|---|---|---|
Run mode | live | Sample = return a few built-in example reviews instantly, no proxy, no charge (a free preview. |
Company names | Company names to resolve to a Glassdoor employer first, e.g. "Netflix", "Spotify". | |
Max reviews per company | 250 | How many reviews to collect per company (the scraper paginates by 10 per page). |
Pricing
$0.0025 per review = $2.5 per 1,000
| You are charged for | When | Price |
|---|---|---|
| Review returned | Charged per review returned (blocked/empty not charged). | $0.0025 |
Pay-per-event pricing: you are billed per result, not per subscription. Billing is handled by Apify on your own account. These are the live Apify store prices, in effect since 2026-06-12, and they are what you are actually charged.
What you get
A structured dataset — each result includes fields like:
companyNamescompanyUrlsdetailsmaxReviewscompanyNameoverallRatingratingOveralljobTitlesummaryreviewDateExport every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.
More use cases for Glassdoor Company Reviews Scraper
- Try
- Deloitte Glassdoor Reviews vs PwC, EY and KPMGGoogle Glassdoor Reviews vs Meta, Apple, Amazon, NetflixCompany Culture Data from Glassdoor for DiligenceIntel Glassdoor Reviews - Watch Morale Month to MonthMcKinsey Glassdoor Reviews vs BCG and BainGlassdoor CEO Approval and Leadership Ratings
Built on Glassdoor Company Reviews Scraper — every input, output field, price and the full how-to are on the tool page.
Where this tool sits
- Categories
- Job Market Scrapers Reviews & Reputation Data
- Platforms
- Glassdoor