# Glassdoor Reviews Scraper - Ratings & Employee Reviews (`haketa/glassdoor-reviews-scraper`) Actor

Scrape company ratings and employee reviews from Glassdoor by company name or URL. Export overall rating, sub-ratings, CEO approval, recommend %, review count and employee reviews (pros, cons, advice, job title, date). No API key required.

- **URL**: https://apify.com/haketa/glassdoor-reviews-scraper.md
- **Developed by:** [Haketa](https://apify.com/haketa) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Glassdoor Reviews Scraper — Company Ratings & Employee Reviews

Scrape **company ratings and employee reviews from [Glassdoor](https://www.glassdoor.com/)**. For any company you get the full **rating breakdown** — overall score, culture, work-life balance, compensation, career, diversity and senior-leadership sub-ratings, **CEO approval**, **recommend-to-a-friend %** and the total review count — plus **employee reviews** with pros, cons, advice, job title, location and date.

Enter a company name (or a Glassdoor URL / employer id), press **Start**, and download the results as **JSON, CSV, Excel, HTML or XML**. No API key required.

***

### Why scrape Glassdoor reviews?

Glassdoor is the most recognized source of employer ratings and employee sentiment. This data is valuable for:

- **Employer branding & HR intelligence** — benchmark your company's rating, CEO approval and sub-scores against competitors.
- **Competitive & market research** — compare dozens of companies on culture, compensation, work-life balance and diversity in one spreadsheet.
- **Recruiting & talent teams** — understand how a target employer is perceived before approaching candidates.
- **Investment & due diligence** — track employee sentiment and leadership approval as a signal.
- **Candidates & career tools** — summarize what employees say they love and hate about a company.

***

### Features

- ⭐ **Full rating breakdown** — overall rating, review count, recommend %, CEO approval %, business-outlook %, plus sub-ratings for culture & values, work-life balance, compensation & benefits, career opportunities, diversity & inclusion and senior leadership. Includes the rated CEO's name.
- 📝 **Employee reviews** — title (summary), pros, cons, advice to management, overall star rating and per-category star ratings, reviewer job title, location, employment status, length of employment, current/former, review date and helpful count.
- 🏢 **Flexible input** — a company **name** (resolved automatically), a **Glassdoor review URL**, or an **employer id**. Scrape many companies in one run.
- ⚡ **Handles Cloudflare for you** — passes Glassdoor's protection automatically; no setup needed.
- 🔓 **Optional deep reviews** — supply your own Glassdoor login cookie to page past the public preview (see below).

***

### Input

| Field | Type | Description |
|-------|------|-------------|
| `company` | array of strings | Companies to scrape — a name (`Google`), a Glassdoor review URL (`…/Reviews/Google-Reviews-E9079.htm`) or an employer id (`9079`). |
| `maxReviews` | integer | Max individual reviews to save **per company** (default 10). See the note on coverage below. |
| `loginCookie` | string (secret) | Optional. Your Glassdoor session cookie, to collect reviews beyond the public first page (see *Review coverage*). |
| `proxyConfiguration` | object | Proxy settings. **Residential is strongly recommended.** Defaults to Apify Residential. |

#### Example input

```json
{
  "company": ["Google", "Microsoft", "Amazon"],
  "maxReviews": 10,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
```

***

### Review coverage — please read

Glassdoor shows the **complete rating breakdown** for every company to everyone, but it only serves the **first page of individual reviews** (a few per company) to **logged-out** visitors. The rest are behind Glassdoor's login wall.

- **Anonymous (default):** you always get the full company rating breakdown + the first page of reviews for each company. This is perfect for **rating benchmarking across many companies**.
- **Deep reviews (optional):** to collect more reviews per company, paste your own Glassdoor session cookie into `loginCookie`. Copy the `cookie` header from a logged-in Glassdoor request (browser DevTools → Network). Use your own account responsibly and in line with Glassdoor's Terms.

Every row includes the company's rating data, so even in anonymous mode a multi-company run gives you a rich employer-rating dataset.

***

### Output

One row per review (each row also carries the company's rating context). If a company has no individual reviews accessible, a single row with its rating breakdown is still saved.

#### Example record

```json
{
  "companyName": "Microsoft Corporation",
  "employerId": "1651",
  "companyReviewsUrl": "https://www.glassdoor.com/Reviews/Microsoft-Reviews-E1651.htm",
  "overallRating": 3.9,
  "reviewCount": 57617,
  "recommendToFriendPercent": 74,
  "ceoApprovalPercent": 73,
  "businessOutlookPercent": 66,
  "ceoName": "Satya Nadella",
  "cultureAndValuesRating": 3.8,
  "diversityAndInclusionRating": 4.1,
  "careerOpportunitiesRating": 3.7,
  "compensationAndBenefitsRating": 3.8,
  "seniorLeadershipRating": 3.3,
  "workLifeBalanceRating": 3.9,
  "reviewId": "105623861",
  "reviewUrl": "https://www.glassdoor.com/Reviews/Employer-Review-E1651-RVW105623861.htm",
  "reviewDate": "2026-09-17T05:35:21.083",
  "summary": "Exceptional brand, great people",
  "ratingOverall": 4,
  "pros": "Strong benefits, brilliant colleagues, global impact…",
  "cons": "Reorgs and internal politics can slow things down…",
  "advice": "Reward technical merit over visibility.",
  "jobTitle": "Account Technology Specialist",
  "reviewerLocation": "London, England",
  "employmentStatus": "REGULAR",
  "lengthOfEmployment": 4,
  "isCurrentJob": false,
  "ratingWorkLifeBalance": 4,
  "ratingCultureAndValues": 3,
  "ratingCareerOpportunities": 3,
  "ratingCompensationAndBenefits": 4,
  "ratingSeniorLeadership": 2,
  "ratingDiversityAndInclusion": 4,
  "ratingCeo": "APPROVE",
  "ratingBusinessOutlook": "POSITIVE",
  "ratingRecommendToFriend": "POSITIVE",
  "helpfulCount": 3,
  "employerResponse": null,
  "scrapedAt": "2026-10-12T12:35:00.000Z"
}
```

#### Field reference

**Company-level (on every row):**

| Field | Description |
|-------|-------------|
| `companyName` / `employerId` | Company name and Glassdoor employer id. |
| `companyReviewsUrl` | Canonical Glassdoor reviews URL. |
| `overallRating` | Overall company rating (1–5). |
| `reviewCount` | Total number of reviews on Glassdoor. |
| `recommendToFriendPercent` | % of employees who recommend the company. |
| `ceoApprovalPercent` | % CEO approval. |
| `businessOutlookPercent` | % with a positive business outlook. |
| `ceoName` | Current rated CEO. |
| `cultureAndValuesRating`, `workLifeBalanceRating`, `compensationAndBenefitsRating`, `careerOpportunitiesRating`, `diversityAndInclusionRating`, `seniorLeadershipRating` | Sub-ratings (1–5). |

**Review-level:**

| Field | Description |
|-------|-------------|
| `reviewId` / `reviewUrl` | Review id and direct link. |
| `reviewDate` | When the review was posted. |
| `summary` | Review headline. |
| `ratingOverall` | The review's overall star rating (1–5). |
| `pros` / `cons` / `advice` | Free-text pros, cons and advice to management. |
| `jobTitle` / `reviewerLocation` | Reviewer's role and location. |
| `employmentStatus` / `lengthOfEmployment` / `isCurrentJob` | Employment details. |
| `ratingWorkLifeBalance`, `ratingCultureAndValues`, `ratingCareerOpportunities`, `ratingCompensationAndBenefits`, `ratingSeniorLeadership`, `ratingDiversityAndInclusion` | Per-category star ratings (1–5). |
| `ratingCeo` | `APPROVE` / `DISAPPROVE` / `NO_OPINION`. |
| `ratingBusinessOutlook` | `POSITIVE` / `NEGATIVE` / `NEUTRAL`. |
| `ratingRecommendToFriend` | `POSITIVE` / `NEGATIVE`. |
| `helpfulCount` | How many users found the review helpful. |
| `employerResponse` | Employer's response, when present. |
| `scrapedAt` | ISO timestamp. |

***

### How it works

Glassdoor is protected by a Cloudflare challenge. This actor passes it for you: it opens Glassdoor once with a real browser to obtain a verified session, then reuses that session over fast HTTP to load company review pages and extract the embedded data.

Because the verified Cloudflare session is tied to the IP that created it, the browser and all requests run through a single sticky proxy session. For reliability, use **Residential** proxies (the default).

***

### FAQ

**Do I need a Glassdoor account?** No — anonymous mode gives the full rating breakdown and the first page of reviews. Add a `loginCookie` only if you want more reviews per company.

**Can I scrape many companies at once?** Yes — add them all to `company`. Each is resolved and scraped separately.

**Why do I only get a few reviews per company without a login cookie?** That's Glassdoor's login wall for logged-out visitors. The rating breakdown is always complete; use `loginCookie` for deeper review pagination.

**What input formats work?** Company name, Glassdoor review URL, or employer id.

***

### Related actors

Also check out the **Glassdoor Jobs Scraper** for job listings with salaries and company ratings, plus review scrapers for Trustpilot, Indeed, Comparably and more on the Apify Store.

***

### Legal & ethical use

This actor collects **publicly available** company-rating and review information. Reviews may contain personal opinions — use the data responsibly and in compliance with Glassdoor's Terms of Service and applicable laws (including privacy regulations such as GDPR/CCPA). You are responsible for how you use the output.

# Actor input Schema

## `company` (type: `array`):

One or more companies to scrape. You can enter a <b>company name</b> (e.g. <b>Google</b>, <b>Microsoft</b>), a <b>Glassdoor review URL</b> (e.g. https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm) or an <b>employer id</b> (e.g. 9079). Leave empty to run a small demo for Google.

## `maxReviews` (type: `integer`):

Maximum number of individual reviews to save per company. Note: without a login cookie (see below), Glassdoor only serves the first page of reviews to anonymous visitors (a few per company) plus the full rating breakdown.

## `loginCookie` (type: `string`):

Optional. Glassdoor shows only the first page of reviews to logged-out users. To collect more reviews per company, paste your own Glassdoor session cookie string here (copy the full `cookie` header from a logged-in Glassdoor request in your browser's DevTools → Network). Leave empty for anonymous mode (rating breakdown + first-page reviews). Use your own account responsibly and per Glassdoor's Terms.

## `proxyConfiguration` (type: `object`):

Glassdoor is protected by Cloudflare. The actor solves the challenge once with a real browser and reuses that session over fast HTTP. Datacenter proxy (default) is cheapest and works well; if you hit more blocks, switch to Residential.

## Actor input object example

```json
{
  "company": [
    "Google",
    "Amazon",
    "Microsoft",
    "Apple",
    "Meta",
    "Netflix",
    "Tesla",
    "Nvidia"
  ],
  "maxReviews": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

## `datasetItems` (type: `string`):

All extracted company ratings and reviews for this run.

## `overviewTable` (type: `string`):

A clean, human-readable table view of the scraped ratings and reviews.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "company": [
        "Google",
        "Amazon",
        "Microsoft",
        "Apple",
        "Meta",
        "Netflix",
        "Tesla",
        "Nvidia"
    ],
    "maxReviews": 10,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("haketa/glassdoor-reviews-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "company": [
        "Google",
        "Amazon",
        "Microsoft",
        "Apple",
        "Meta",
        "Netflix",
        "Tesla",
        "Nvidia",
    ],
    "maxReviews": 10,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("haketa/glassdoor-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "company": [
    "Google",
    "Amazon",
    "Microsoft",
    "Apple",
    "Meta",
    "Netflix",
    "Tesla",
    "Nvidia"
  ],
  "maxReviews": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call haketa/glassdoor-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,haketa/glassdoor-reviews-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/369KNDPQvO6WtiMp1/builds/pjRNw03Rd6yZ5fWMP/openapi.json