# Glassdoor Company Scraper — Ratings, Reviews, Size & Industry (`foxlabs/glassdoor-intelligence`) Actor
Scrape Glassdoor company data as clean JSON — overall rating, review count, % recommend, CEO approval, company size, industry, HQ, revenue & founded year. Employer reputation + firmographics by company name, for sourcing, competitive research, recruiting & due diligence.
- **URL**: https://apify.com/foxlabs/glassdoor-intelligence.md
- **Developed by:** [Berkan Kaplan](https://apify.com/foxlabs) (community)
- **Categories:** Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $4.00 / 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.
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.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 Company Scraper — Ratings, Reviews, Size & Industry
> **Also known as**: Glassdoor scraper · employer reputation data · company rating lookup · Glassdoor company data · CEO approval scraper · employer reviews data · company size & industry · workplace intelligence · talent intelligence feed · employer branding data.
### What does Glassdoor Company Scraper do?
**Glassdoor Company Scraper** turns any company name into a clean **company-intelligence profile** from [Glassdoor](https://www.glassdoor.com) — **overall rating, number of reviews, % who recommend, CEO approval, company size, industry, headquarters, revenue and founded year** — as structured JSON. Type a list of company names (we resolve each to its Glassdoor page automatically) or paste Glassdoor "Overview" URLs.
Runs on the **Apify** platform with full API access, scheduling, integrations, datacenter proxy rotation and run monitoring — so you can pull employer-reputation data on demand or on a schedule, no Glassdoor account needed.
### Why use Glassdoor Company Scraper?
- **Employer reputation at a glance** — rating, review volume, % recommend and CEO approval for any company.
- **Firmographics included** — size, industry, HQ, revenue range and founded year alongside the reputation signals.
- **Recruiting & employer branding** — benchmark yourself against competitors for talent.
- **Competitive & sales research** — read the room before you pitch, partner or acquire.
- **Due diligence** — a sentiment + size reality-check to pair with financial data.
- **Pay-as-you-go** — no seats, no annual contract; export to JSON, CSV or Excel.
### How to use Glassdoor Company Scraper
1. Open the **Input** tab.
2. Type one or more **company names** (e.g. `Google`, `Stripe`, `Shopify`) — or paste exact **Glassdoor Overview URLs** for guaranteed matches.
3. (Optional) Set **Maximum number of companies** as your cost cap.
4. Click **Start**. Download results as JSON, CSV, HTML or Excel, or pull them via API.
### Input
| Field | Description |
|---|---|
| `companyNames` | Company names — auto-resolved to their Glassdoor page (primary input). |
| `glassdoorUrls` | Exact Glassdoor "Overview" URLs for precise matches. |
| `maxResults` | Hard cap on results (0 = unlimited). |
| `maxConcurrency` | Parallel page fetches (default 10). |
| `proxyConfiguration` | Apify Datacenter proxy (default, sufficient). |
### Output
```json
{
"url": "https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm",
"name": "Google",
"rating": 4.4,
"reviewCount": 48235,
"recommendToFriendPct": 87,
"ceoApprovalPct": 82,
"size": "10000+ Employees",
"employees": 10000,
"industry": "Internet & Web Services",
"type": "Company - Public",
"headquarters": "Mountain View, CA",
"founded": 1998,
"revenue": "$10+ billion (USD)",
"website": "google.com",
"description": "Since our founding in 1998, Google has grown by leaps and bounds...",
"ratingScale": "1-5",
"matched": true,
"source": "glassdoor.com",
"scrapedAt": "2026-05-25T13:49:05.956Z"
}
````
You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.
### Data table
| Field | Description |
|---|---|
| `name` | Company name |
| `rating` | Overall Glassdoor rating (1–5) |
| `reviewCount` | Number of reviews |
| `recommendToFriendPct` | % of reviewers who recommend to a friend |
| `ceoApprovalPct` | % who approve of the CEO |
| `size` / `employees` | Company size band + numeric estimate |
| `industry` | Industry classification |
| `type` | Public / Private / Subsidiary |
| `headquarters` | HQ location |
| `founded` | Year founded |
| `revenue` | Revenue range |
| `website` | Company website |
| `description` | Company description |
### How much does it cost to scrape Glassdoor?
Pay-per-result: **$4 per 1,000 companies** (~$0.004 each) — pay-as-you-go, no monthly seat or annual contract. You're billed **only for companies that return data**; blocked or unresolved ones are skipped and never charged.
- 100 companies ≈ $0.40
- 1,000 companies ≈ $4
- 10,000 companies ≈ $40
Apify's free tier includes $5/month of platform credits. Set **Maximum number of companies** to cap spend per run.
### foXLabs B2B Intelligence Suite
Match results by company name/domain across the suite for a 360° view:
| Actor | What it adds |
|---|---|
| **Glassdoor Company Scraper** (this) | Employer rating, reviews, % recommend, CEO approval, size |
| [Owler Company Scraper](https://apify.com/foxlabs/owler-intelligence) | Revenue, competitors (with proximity), funding, news |
| [Craft.co Financials Scraper](https://apify.com/foxlabs/craft-intelligence) | Revenue/income statements, valuation, M\&A, executives |
| [Built In Tech-Stack Scraper](https://apify.com/foxlabs/builtin-intelligence) | Tech stack, headcount, industries, open jobs |
| [Indian Company Data](https://apify.com/foxlabs/indian-company-data) | CIN, directors, balance sheet, charges (India) |
| [Company Data Enrichment](https://apify.com/foxlabs/company-enrichment) | Bulk names/domains → firmographics |
| [Free Company Lookup](https://apify.com/foxlabs/company-lookup-free) | Free basics — domain, industry, HQ, logo |
➡ Need **revenue, competitors & financials**? Pair this with the [Owler](https://apify.com/foxlabs/owler-intelligence) and [Craft.co](https://apify.com/foxlabs/craft-intelligence) scrapers.
### Tips
- For ambiguous names (common words, regional duplicates), paste the exact **Glassdoor Overview URL** for a guaranteed match.
- **You're only billed for companies that return data** — blocked or unresolved companies are skipped (logged in the run, never charged).
- **Coverage:** Glassdoor blocks datacenter IPs, so a single run on the free Datacenter proxy typically returns ~½–⅔ of a large list. For near-complete coverage, select **Residential** proxy, or just re-run to pick up the misses (different IPs succeed on the retry).
- Keep concurrency around the default `5` — pushing it higher increases blocking and lowers yield.
### FAQ, disclaimers & support
**Is the data public?** The Actor reads publicly visible Glassdoor company pages. Always verify your use complies with Glassdoor's Terms of Service and applicable data-protection law. Do not use the data to identify or profile individuals.
**Why is a field empty?** Not every company lists every field (revenue, founded, etc.). Reputation fields (rating, reviews) are present for any company with reviews.
**Feedback or a custom dataset/region?** Open an issue on the Actor's **Issues** tab — custom solutions available.
# Actor input Schema
## `companyNames` (type: `array`):
Type company names — each is resolved to its Glassdoor company page automatically (e.g. `Google`, `Stripe`, `Shopify`). Bulk: drop a `.txt`/`.csv` file or link a remote list. For ambiguous names, use `Glassdoor Overview URLs` below for an exact match.
## `glassdoorUrls` (type: `array`):
Paste exact Glassdoor **Overview** URLs for guaranteed matches, e.g. `https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm`. Use this when a company name is ambiguous or returns the wrong employer.
## `maxResults` (type: `integer`):
Hard cap on results — set per your budget. Set 0 for unlimited. Billed per result (see the Actor's pricing on its Apify page).
## `maxConcurrency` (type: `integer`):
How many pages to fetch in parallel. **Glassdoor blocks aggressively under heavy parallelism**, so the default is a gentle `5` for reliable yield. Raise only if you accept a lower success rate; lower to 1-2 for maximum reliability on big lists.
## `proxyConfiguration` (type: `object`):
Glassdoor actively blocks datacenter IPs, so each run resolves roughly half to two-thirds of companies on **Datacenter** proxy (free, default) — you're only billed for the ones that succeed. For near-complete coverage, select **Residential** proxy (pricier, requires a paid plan), or simply re-run to pick up the misses.
## Actor input object example
```json
{
"companyNames": [
"Google",
"Stripe",
"Shopify"
],
"glassdoorUrls": [],
"maxResults": 100,
"maxConcurrency": 5,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": []
}
}
```
# Actor output Schema
## `dataset` (type: `string`):
No description
# 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",
"Stripe",
"Shopify"
],
"glassdoorUrls": [],
"maxResults": 100,
"maxConcurrency": 5,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": []
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("foxlabs/glassdoor-intelligence").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",
"Stripe",
"Shopify",
],
"glassdoorUrls": [],
"maxResults": 100,
"maxConcurrency": 5,
"proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": [],
},
}
# Run the Actor and wait for it to finish
run = client.actor("foxlabs/glassdoor-intelligence").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",
"Stripe",
"Shopify"
],
"glassdoorUrls": [],
"maxResults": 100,
"maxConcurrency": 5,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": []
}
}' |
apify call foxlabs/glassdoor-intelligence --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=foxlabs/glassdoor-intelligence",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Glassdoor Company Scraper — Ratings, Reviews, Size & Industry",
"description": "Scrape Glassdoor company data as clean JSON — overall rating, review count, % recommend, CEO approval, company size, industry, HQ, revenue & founded year. Employer reputation + firmographics by company name, for sourcing, competitive research, recruiting & due diligence.",
"version": "0.1",
"x-build-id": "ndPwz8Z3BOhds0e3c"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/foxlabs~glassdoor-intelligence/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-foxlabs-glassdoor-intelligence",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/foxlabs~glassdoor-intelligence/runs": {
"post": {
"operationId": "runs-sync-foxlabs-glassdoor-intelligence",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/foxlabs~glassdoor-intelligence/run-sync": {
"post": {
"operationId": "run-sync-foxlabs-glassdoor-intelligence",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"companyNames": {
"title": "Company names",
"type": "array",
"description": "Type company names — each is resolved to its Glassdoor company page automatically (e.g. `Google`, `Stripe`, `Shopify`). Bulk: drop a `.txt`/`.csv` file or link a remote list. For ambiguous names, use `Glassdoor Overview URLs` below for an exact match.",
"default": [],
"items": {
"type": "string"
}
},
"glassdoorUrls": {
"title": "Or: Glassdoor Overview URLs (precise)",
"type": "array",
"description": "Paste exact Glassdoor **Overview** URLs for guaranteed matches, e.g. `https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm`. Use this when a company name is ambiguous or returns the wrong employer.",
"default": [],
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
},
"maxResults": {
"title": "Maximum number of companies",
"minimum": 0,
"maximum": 100000,
"type": "integer",
"description": "Hard cap on results — set per your budget. Set 0 for unlimited. Billed per result (see the Actor's pricing on its Apify page).",
"default": 100
},
"maxConcurrency": {
"title": "Concurrent page fetches",
"minimum": 1,
"maximum": 50,
"type": "integer",
"description": "How many pages to fetch in parallel. **Glassdoor blocks aggressively under heavy parallelism**, so the default is a gentle `5` for reliable yield. Raise only if you accept a lower success rate; lower to 1-2 for maximum reliability on big lists.",
"default": 5
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Glassdoor actively blocks datacenter IPs, so each run resolves roughly half to two-thirds of companies on **Datacenter** proxy (free, default) — you're only billed for the ones that succeed. For near-complete coverage, select **Residential** proxy (pricier, requires a paid plan), or simply re-run to pick up the misses.",
"default": {
"useApifyProxy": true,
"apifyProxyGroups": []
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```