# Glassdoor Reviews Universal Scraper (`scrapifier/glassdoor-reviews-universal-scraper`) Actor
⭐ Scrape Glassdoor company reviews by name or URL. Get the full review — overall + sub-ratings, pros, cons, advice, job title, location, employment status, company responses & dates — as clean structured data. No login and no proxy needed.
- **URL**: https://apify.com/scrapifier/glassdoor-reviews-universal-scraper.md
- **Developed by:** [Scrapifier](https://apify.com/scrapifier) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.04 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## ⭐ Glassdoor Reviews Scraper
Extract company reviews from Glassdoor by company name or URL — and export them as structured JSON, CSV or Excel. No code required.
[](https://apify.com/scrapifier/glassdoor-reviews-universal-scraper)
### 📋 Contents
- [Overview](#-overview)
- [How to use](#-how-to-use)
- [Input](#-input)
- [Output](#-output)
- [Pricing](#-pricing)
- [Proxy and performance](#-proxy-and-performance)
- [Integrations](#-integrations)
- [Related Actors](#-related-actors)
- [FAQ](#-faq)
- [Support](#-support)
### 📖 Overview
Collect company reviews from Glassdoor by simply typing a company name or pasting a company URL. For each review you get the **overall rating plus every sub-rating** (work-life balance, culture, career, compensation, leadership, diversity), the pros, cons and advice, the reviewer's job title, location and employment status, helpful votes, the official company response, and the date.
- Search by **company name** (resolved automatically) or paste any Glassdoor company URL.
- Works on any Glassdoor country site — pick the market you want.
- Filter by **sort order, language, keyword** and current-vs-former employees.
- Exports to JSON, CSV, Excel, or the Apify dataset API.
- Pay per result — no subscription.
### 🚀 How to use
1. Enter one or more **company names** (e.g. `Google`, `Microsoft`), or paste Glassdoor company URLs into **Glassdoor company URLs**.
2. Set **Max reviews per company**, and optionally a **sort order**, **review language** or **keyword**.
3. Start the run.
4. Download your data from the **Storage** tab, or fetch it from the API.
### 📥 Input
| Field | Key | Type | Default | Description |
|---|---|---|---|---|
| Glassdoor company URLs | `startUrls` | array | — | Reviews or Overview URLs (any Glassdoor country site). |
| Company names | `companyNames` | array of strings | `["Google"]` | Company names — resolved automatically. |
| Max reviews per company | `maxReviewsPerCompany` | integer | `100` | Reviews to collect per company. `0` = as many as available. |
| Sort reviews by | `sort` | select | `recent` | Most recent · Most relevant · Highest rating. |
| Current employees only | `onlyCurrentEmployees` | boolean | `false` | Exclude former employees. |
| Review language | `reviewLanguage` | string | `eng` | ISO-639-2 code (eng, fra, deu, spa…). |
| Keyword search | `textSearch` | string | — | Only reviews mentioning this keyword. |
| Glassdoor domain | `country` | select | `www` | Domain used when resolving company names. |
| Include company responses | `includeCompanyResponses` | boolean | `true` | Attach the employer's official replies. |
| Flat columns | `flatten` | boolean | `false` | Add a flat `companyResponseCount` column for CSV/Excel. |
| Proxy configuration | `proxyConfiguration` | object | Off | Leave off (recommended). |
Example input
```json
{
"companyNames": ["Google", "Microsoft"],
"maxReviewsPerCompany": 200,
"sort": "recent",
"reviewLanguage": "eng"
}
````
### 📤 Output
Each review is stored as one dataset item. Export it as JSON, CSV or Excel, or read it from the API.
| Field | Description |
|---|---|
| `reviewId` | Unique review ID |
| `url` | Link to the review on Glassdoor |
| `employerName` | Company name |
| `reviewDateTime` | Review date/time |
| `summary` | Review title / headline |
| `pros` / `cons` / `advice` | Pros, cons and advice to management |
| `ratingOverall` | Overall rating (1–5) |
| `ratingWorkLifeBalance` … | Sub-ratings: work-life balance, culture, career, compensation, leadership, diversity |
| `ratingBusinessOutlook` / `ratingRecommendToFriend` / `ratingCeo` | Outlook, recommend, CEO approval |
| `jobTitle` | Reviewer's job title |
| `location` | Reviewer's location |
| `employmentStatus` | Full-time, part-time, contract, intern… |
| `isCurrentJob` | Current or former employee |
| `lengthOfEmployment` | Years of employment |
| `countHelpful` | Helpful votes |
| `companyResponses[]` | The employer's official responses |
| `languageId` | Review language |
Example output
```json
{
"reviewId": 104536483,
"url": "https://www.glassdoor.com/Reviews/Employer-Reviews-E9079.htm#Review104536483",
"employerName": "Google",
"reviewDateTime": "2026-06-25T10:14:02.000",
"summary": "Great place to grow",
"pros": "Excellent benefits, smart colleagues, real impact.",
"cons": "Bureaucracy can slow things down.",
"advice": "Keep investing in teams.",
"ratingOverall": 5,
"ratingWorkLifeBalance": 5,
"ratingCultureAndValues": 5,
"ratingCareerOpportunities": 5,
"ratingCompensationAndBenefits": 5,
"ratingSeniorLeadership": 4,
"ratingBusinessOutlook": "POSITIVE",
"ratingRecommendToFriend": "POSITIVE",
"ratingCeo": "APPROVE",
"jobTitle": "Software Engineer",
"location": "Paris",
"employmentStatus": "REGULAR",
"isCurrentJob": true,
"lengthOfEmployment": 3,
"countHelpful": 12,
"companyResponses": [],
"languageId": "eng"
}
```
### 💰 Pricing
From **$3.00 per 1,000 reviews**, with automatic volume discounts down to **$2.04** at higher tiers. No subscription — you pay only for the results you extract. New Apify users can try the Actor with their free monthly platform credits.
### 🛡️ Proxy and performance
- **No proxy needed** — and not recommended. The Actor runs best without one; a proxy usually makes Glassdoor runs fail.
- Reviews are language-specific — set **Review language** (default English) to target a market.
- Very large companies have tens of thousands of reviews — use **Max reviews per company** to control volume and cost.
- The first page of a run spends a few seconds getting through Glassdoor's checks, then collects reviews quickly.
### 🔌 Integrations
Run the Actor from the [Apify API](https://docs.apify.com/api/v2), the [JavaScript](https://docs.apify.com/sdk/js) or [Python](https://docs.apify.com/sdk/python) clients, or connect it to Make, Zapier, n8n, Google Sheets and Slack through Apify integrations. Each run's data is available as JSON or CSV via the dataset API.
### 🔗 Related Actors
- [Glassdoor Jobs Universal Scraper](https://apify.com/scrapifier/glassdoor-jobs-universal-scraper) — job listings from Glassdoor.
- [Trustpilot Universal Scraper](https://apify.com/scrapifier/trustpilot-universal-scraper) — customer reviews from Trustpilot.
- [Welcome to the Jungle Scraper](https://apify.com/scrapifier/welcome-to-the-jungle-scraper) — jobs and company profiles.
Need another source? Open an issue.
### ❓ FAQ
**Do I need a Glassdoor account or login?**
No. The Actor collects publicly available reviews.
**Can I scrape reviews for a company's specific country office?**
Yes — paste that country's Glassdoor company URL instead of the name.
**How fresh is the data?**
It is collected live at runtime.
### 💬 Support
Questions or issues? Post them in the **Issues** tab and I will respond quickly. If the Actor is useful to you, a review is appreciated.
# Actor input Schema
## `startUrls` (type: `array`):
Paste one or more Glassdoor company URLs — the Reviews page (e.g. https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm) or the company Overview page. Works on any Glassdoor country domain (.com, .fr, .de, .co.uk…). Leave empty to use company names below.
## `companyNames` (type: `array`):
Company names to resolve automatically on glassdoor.com (e.g. Google, Microsoft, Airbnb). For a specific country/office, paste that country's Glassdoor URL above instead.
## `maxReviewsPerCompany` (type: `integer`):
How many reviews to collect per company (0 = as many as Glassdoor exposes).
## `sort` (type: `string`):
Order in which reviews are collected.
## `onlyCurrentEmployees` (type: `boolean`):
Only reviews written by current employees (excludes former employees).
## `reviewLanguage` (type: `string`):
ISO-639-2 language code for the reviews (e.g. eng, fra, deu, spa, ita, por, nld). Defaults to English (eng).
## `textSearch` (type: `string`):
Only reviews mentioning this keyword (e.g. "salary", "management", "remote"). Empty = all reviews.
## `country` (type: `string`):
Which Glassdoor domain to use when resolving company names. (Pasted URLs keep their own domain.)
## `includeCompanyResponses` (type: `boolean`):
Attach the employer's official responses to each review.
## `flatten` (type: `boolean`):
Add a flat companyResponseCount column for CSV/Excel.
## `emitInputStatus` (type: `boolean`):
Add an input\_status report to the run's OUTPUT record.
## `maxChallengeRetries` (type: `integer`):
How many retry attempts if a page fails to load. Increase only if runs report being blocked.
## `proxyConfiguration` (type: `object`):
Leave OFF (recommended). A proxy usually makes Glassdoor runs fail — the Actor works best without one. Only add a proxy if you have your own clean, ISP-grade IPs.
## Actor input object example
```json
{
"companyNames": [
"Google"
],
"maxReviewsPerCompany": 100,
"sort": "recent",
"onlyCurrentEmployees": false,
"reviewLanguage": "eng",
"country": "www",
"includeCompanyResponses": true,
"flatten": false,
"emitInputStatus": true,
"maxChallengeRetries": 6,
"proxyConfiguration": {
"useApifyProxy": false
}
}
```
# Actor output Schema
## `reviews` (type: `string`):
All Glassdoor reviews extracted by this run.
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"companyNames": [
"Google"
],
"maxReviewsPerCompany": 100,
"reviewLanguage": "eng"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapifier/glassdoor-reviews-universal-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"companyNames": ["Google"],
"maxReviewsPerCompany": 100,
"reviewLanguage": "eng",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapifier/glassdoor-reviews-universal-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"companyNames": [
"Google"
],
"maxReviewsPerCompany": 100,
"reviewLanguage": "eng"
}' |
apify call scrapifier/glassdoor-reviews-universal-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapifier/glassdoor-reviews-universal-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Glassdoor Reviews Universal Scraper",
"description": "⭐ Scrape Glassdoor company reviews by name or URL. Get the full review — overall + sub-ratings, pros, cons, advice, job title, location, employment status, company responses & dates — as clean structured data. No login and no proxy needed.",
"version": "0.1",
"x-build-id": "00jdoFRZqeJer0bXi"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapifier~glassdoor-reviews-universal-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapifier-glassdoor-reviews-universal-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapifier~glassdoor-reviews-universal-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapifier-glassdoor-reviews-universal-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapifier~glassdoor-reviews-universal-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapifier-glassdoor-reviews-universal-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"startUrls": {
"title": "Glassdoor company URLs",
"type": "array",
"description": "Paste one or more Glassdoor company URLs — the Reviews page (e.g. https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm) or the company Overview page. Works on any Glassdoor country domain (.com, .fr, .de, .co.uk…). Leave empty to use company names below.",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
},
"companyNames": {
"title": "Company names",
"type": "array",
"description": "Company names to resolve automatically on glassdoor.com (e.g. Google, Microsoft, Airbnb). For a specific country/office, paste that country's Glassdoor URL above instead.",
"items": {
"type": "string"
}
},
"maxReviewsPerCompany": {
"title": "Max reviews per company",
"minimum": 0,
"type": "integer",
"description": "How many reviews to collect per company (0 = as many as Glassdoor exposes).",
"default": 100
},
"sort": {
"title": "Sort reviews by",
"enum": [
"recent",
"relevance",
"rating_high"
],
"type": "string",
"description": "Order in which reviews are collected.",
"default": "recent"
},
"onlyCurrentEmployees": {
"title": "Current employees only",
"type": "boolean",
"description": "Only reviews written by current employees (excludes former employees).",
"default": false
},
"reviewLanguage": {
"title": "Review language (ISO-3)",
"type": "string",
"description": "ISO-639-2 language code for the reviews (e.g. eng, fra, deu, spa, ita, por, nld). Defaults to English (eng).",
"default": "eng"
},
"textSearch": {
"title": "Keyword search",
"type": "string",
"description": "Only reviews mentioning this keyword (e.g. \"salary\", \"management\", \"remote\"). Empty = all reviews."
},
"country": {
"title": "Glassdoor domain (for company names)",
"enum": [
"www",
"co.uk",
"ca",
"com.au",
"co.in",
"ie"
],
"type": "string",
"description": "Which Glassdoor domain to use when resolving company names. (Pasted URLs keep their own domain.)",
"default": "www"
},
"includeCompanyResponses": {
"title": "Include company responses",
"type": "boolean",
"description": "Attach the employer's official responses to each review.",
"default": true
},
"flatten": {
"title": "Flat columns (CSV-friendly)",
"type": "boolean",
"description": "Add a flat companyResponseCount column for CSV/Excel.",
"default": false
},
"emitInputStatus": {
"title": "Report empty inputs",
"type": "boolean",
"description": "Add an input_status report to the run's OUTPUT record.",
"default": true
},
"maxChallengeRetries": {
"title": "Page load retries",
"minimum": 1,
"type": "integer",
"description": "How many retry attempts if a page fails to load. Increase only if runs report being blocked.",
"default": 6
},
"proxyConfiguration": {
"title": "Proxy",
"type": "object",
"description": "Leave OFF (recommended). A proxy usually makes Glassdoor runs fail — the Actor works best without one. Only add a proxy if you have your own clean, ISP-grade IPs.",
"default": {
"useApifyProxy": false
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```