Google Glassdoor Reviews vs Meta, Apple, Amazon, Netflix
Ratings and written pros and cons across Google, Meta, Apple, Amazon and Netflix, with job title, location and sub-ratings on each row.
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 | Meta, Apple, Amazon +2 more | Company names to resolve to a Glassdoor employer first, e.g. "Netflix", "Spotify". |
Max reviews per company | 300 | 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 KPMGCompany Culture Data from Glassdoor for DiligenceIntel Glassdoor Reviews - Watch Morale Month to MonthWhy Employees Quit - Read a Rival Glassdoor ConsMcKinsey 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