# Glassdoor Reviews Scraper - Company Reviews, No API Key (`jamhimself/glassdoor-reviews-scraper`) Actor

Scrape Glassdoor company reviews to JSON — no API key, no login. Get ratings, pros, cons, job title, location, sub-ratings. Bulk, pay per result.

- **URL**: https://apify.com/jamhimself/glassdoor-reviews-scraper.md
- **Developed by:** [Jaime Martinez](https://apify.com/jamhimself) (community)
- **Categories:** Lead generation, Agents, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$7.00 / 1,000 product reviews

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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 (No API Key)

Scrape Glassdoor company reviews into clean, structured JSON — no API key, no login, no browser automation. Paste one or more Glassdoor employer review page URLs and this actor extracts every review with the full rating breakdown: `ratingOverall`, `pros`, `cons`, `summary`, `jobTitle`, `location`, `employmentStatus`, review `date`, and the five sub-ratings (work-life balance, culture, career opportunities, compensation, senior leadership). Built for developers, market and HR analysts, recruiters, and AI/RAG pipelines that need bulk employer review data — pay per result, no subscription.

Reliability: requests use Chrome TLS impersonation over Apify residential US proxies with automatic session rotation to clear anti-bot walls, reading Glassdoor's own structured review data rather than rendered HTML.

### ⚡ Quick start

Paste this into the Actor's **Input** (JSON view) and hit **Start**:

```json
{
  "startUrls": [
    { "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm" }
  ],
  "maxReviews": 50
}
```

Each result row looks like:

```json
{
  "reviewId": 87654321,
  "date": "2025-11-04T08:31:12.917",
  "ratingOverall": 4,
  "summary": "Great place to grow as an engineer",
  "pros": "Smart colleagues, strong benefits, interesting problems at scale",
  "cons": "Promotion process is slow and can feel political",
  "jobTitle": "Software Engineer",
  "location": "Mountain View, CA"
}
```

Or run it from the API:

```
POST https://api.apify.com/v2/acts/jamhimself~glassdoor-reviews-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN
```

### What you get

Each review is one dataset row with these fields:

| Field | Description |
|---|---|
| `employerId` | Glassdoor employer/company id |
| `reviewId` | Stable Glassdoor review id |
| `reviewUrl` | Company review page URL |
| `date` | Review date/time |
| `ratingOverall` | 1–5 star overall rating |
| `summary` | Review headline |
| `pros` | Free-text pros |
| `cons` | Free-text cons |
| `jobTitle` | Reviewer's job title |
| `location` | Reviewer's location |
| `employmentStatus` | Current or former employee |
| `lengthOfEmployment` | Tenure at the company |
| `isCurrentJob` | Whether the reviewer still works there |
| `ratingWorkLifeBalance` | Work-life balance sub-rating |
| `ratingCultureAndValues` | Culture and values sub-rating |
| `ratingCareerOpportunities` | Career opportunities sub-rating |
| `ratingCompensationAndBenefits` | Compensation and benefits sub-rating |
| `ratingSeniorLeadership` | Senior leadership sub-rating |

### Use cases

- **Employer brand & reputation monitoring** — track a company's Glassdoor reviews, overall rating trends, and pros/cons over time.
- **Competitor benchmarking** — pull reviews for several employers and compare culture, leadership, and compensation sub-ratings side by side.
- **HR & compensation research** — mine `pros`/`cons` and sub-ratings to understand what employees value or complain about across companies.
- **Recruiting & candidate sourcing intelligence** — gauge sentiment by `jobTitle` and `location` before targeting talent or scoping a market.
- **LLM / RAG feeds** — turn structured employer reviews into a corpus for sentiment analysis, summarization, or retrieval-augmented Q\&A.
- **Review dataset building** — export bulk Glassdoor review data to JSON/CSV/Excel for dashboards, NLP models, or ongoing datasets.

### Input

| Param | Description |
|---|---|
| `startUrls` | One or more Glassdoor company review page URLs, e.g. `https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm` |
| `companyUrls` | Alternative to `startUrls`: a plain array of Glassdoor review URLs or slugs |
| `maxReviews` | Max reviews to return per company (default `100`, up to `100000`; paginates automatically) |
| `sort` | `RELEVANCE` (most relevant) or `DATE` (newest first). Default `RELEVANCE` |

Find a company's review URL by searching the company on glassdoor.com and copying the `/Reviews/<Company>-Reviews-E<id>.htm` link.

Example input:

```json
{
  "startUrls": [
    { "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm" }
  ],
  "maxReviews": 100,
  "sort": "RELEVANCE"
}
```

### Pricing

Pay per review delivered — you only pay for the reviews you actually receive. No subscription.

*Found this useful? A quick review on the Apify Store really helps.*

# Actor input Schema

## `startUrls` (type: `array`):

One or more Glassdoor company review pages, e.g. https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm

## `companyUrls` (type: `array`):

Alternative to startUrls: a plain array of Glassdoor review URLs or slugs.

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

Maximum reviews to return per company.

## `sort` (type: `string`):

RELEVANCE (most helpful) or DATE (newest first).

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
    }
  ],
  "maxReviews": 100,
  "sort": "RELEVANCE"
}
```

# Actor output Schema

## `reviews` (type: `string`):

One row per review: rating, pros, cons, job title, location, sub-ratings, and date.

# 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 = {
    "startUrls": [
        {
            "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("jamhimself/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 = { "startUrls": [{ "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm" }] }

# Run the Actor and wait for it to finish
run = client.actor("jamhimself/glassdoor-reviews-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 '{
  "startUrls": [
    {
      "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
    }
  ]
}' |
apify call jamhimself/glassdoor-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=jamhimself/glassdoor-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/zb3wQbOSmF7zJku9O/builds/XE7AgAruXAtTtmM43/openapi.json