# Glassdoor Reviews & Jobs Scraper: Culture, Salary & Interviews (`madeingermany/glassdoor-scraper-ppr`) Actor

Extract comprehensive employee reviews, ratings, pros/cons, company responses, jobs, salaries, and interviews from Glassdoor effortlessly.

- **URL**: https://apify.com/madeingermany/glassdoor-scraper-ppr.md
- **Developed by:** [Made In Germany](https://apify.com/madeingermany) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.75 / 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/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 & Jobs Scraper — Company Culture, Salary Benchmarks & Interviews 🚀

A high-performance, production-ready Apify Actor for scraping comprehensive employee reviews, ratings, pros/cons, advice to management, and sub-ratings from Glassdoor — **without login walls, browser bloat, or anti-bot blocks**.

Built with a **pure HTTP-first architecture** (`Crawlee` + `got-scraping`), Chrome TLS fingerprinting, and resilient multi-mirror routing to extract real employee insights at scale.

***

### ⚡ Why This Scraper Beats Alternatives

| Feature | GLASSDOOR PPE Scraper | Conventional Scrapers |
| :--- | :--- | :--- |
| **Engine Architecture** | **Pure HTTP Fast-Path** (lightweight, instant start) | Heavy Puppeteer/Playwright headless browsers |
| **Memory Footprint** | **~256 MB RAM** | 2 GB - 4 GB RAM per instance |
| **Login Requirement** | **None** (scrapes public SSR & RSC streams) | Requires active account credentials |
| **Anti-Bot Resilience** | **Chrome 130+ TLS Fingerprinting + Regional Mirror Routing** | Frequent 403 Cloudflare blocks |
| **Pricing Model** | **Pay-Per-Event (PPE)**: only pay for results extracted | High flat monthly rates |
| **Data Completeness** | **Full sub-ratings, pros/cons, advice & employment status** | Often limited to headline text |

***

### 💼 Core Use Cases

- **HR & People Analytics**: Benchmark employer brand reputation, culture & values, and employee sentiment across competitors.
- **Talent Acquisition & Employer Branding**: Analyze pros, cons, and management advice to calibrate job offers and workplace benefits.
- **Investment & Market Due Diligence**: Monitor leadership approval, business outlook trends, and workplace morale before investing or partnering.
- **Competitive Intelligence**: Discover compensation satisfaction and retention risks across industry peers.

***

### 📥 Input Configuration

#### Input Parameters

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `startUrls` | Array | `["https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"]` | List of Glassdoor company review URLs or overview pages. |
| `searchQuery` | String | `"Google Reviews"` | Free-text search query used to discover employers when URLs are not provided. |
| `maxItems` | Integer | `50` | Maximum number of reviews/records to extract. |
| `proxy` | Object | `{ "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }` | Apify proxy configuration (supports residential and custom proxies). |

#### Sample Input JSON

```json
{
  "startUrls": [
    {
      "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
    }
  ],
  "maxItems": 20,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

***

### 📤 Output Structure

Every extracted record includes complete review metadata, employment status, ratings, and textual feedback:

#### Output Fields

| Field | Type | Description |
| :--- | :--- | :--- |
| `reviewId` | String | Unique identifier for the Glassdoor review. |
| `rating` | Number | Overall rating out of 5 (e.g. `4.0`, `5.0`). |
| `jobTitle` | String | Job title or role of the reviewer. |
| `pros` | String | Reviewer's feedback on company pros. |
| `cons` | String | Reviewer's feedback on company cons. |
| `adviceToManagement` | String | null | Reviewer's recommendations for leadership. |
| `isCurrentEmployee` | Boolean | `true` if current employee, `false` if former. |
| `summary` | String | Headline summary of the review. |
| `reviewDateTime` | String | ISO timestamp of the review publication. |
| `location` | String | Reviewer's office or city location. |
| `employerName` | String | Company name. |
| `employerId` | Number | String | Glassdoor unique employer ID. |
| `ratingWorkLifeBalance` | Number | null | Sub-rating for work-life balance (1-5). |
| `ratingCultureAndValues` | Number | null | Sub-rating for culture & values (1-5). |
| `ratingCareerOpportunities` | Number | null | Sub-rating for career growth (1-5). |
| `ratingCompensationAndBenefits` | Number | null | Sub-rating for pay & perks (1-5). |
| `ratingSeniorLeadership` | Number | null | Sub-rating for executive management (1-5). |
| `ratingCeo` | String | null | Approval rating for company CEO. |
| `ratingBusinessOutlook` | String | null | Outlook on business future (e.g. `POSITIVE`). |
| `ratingRecommendToFriend` | String | null | Recommendation sentiment (e.g. `POSITIVE`). |
| `url` | String | Target URL from which the review was scraped. |
| `scrapedAt` | String | ISO timestamp when the scraper extracted the item. |

#### Sample Output Record

```json
{
  "reviewId": "105742142",
  "rating": 4,
  "jobTitle": "Senior Software Engineer",
  "pros": "The salary is higher than in other companies, and not all perks have been cut yet.",
  "cons": "Hyperfocus on short-termism is ruining what once made this company unique",
  "adviceToManagement": "Reorganisations every 3-6 month are destroying more productivity than any reorg could ever compensate",
  "isCurrentEmployee": true,
  "summary": "Higher pay, but short-term focus harms uniqueness",
  "reviewDateTime": "2026-09-25T20:03:27.573",
  "location": "Zürich",
  "employerName": "Google",
  "employerId": 9079,
  "ratingBusinessOutlook": "NEUTRAL",
  "ratingCareerOpportunities": 4,
  "ratingCeo": "DISAPPROVE",
  "ratingCompensationAndBenefits": 5,
  "ratingCultureAndValues": 3,
  "ratingDiversityAndInclusion": 4,
  "ratingSeniorLeadership": 2,
  "ratingWorkLifeBalance": 3,
  "ratingRecommendToFriend": "POSITIVE",
  "scrapedAt": "2026-09-28T01:29:48.515Z",
  "url": "https://www.glassdoor.de/Bewertungen/Google-Bewertungen-E9079.htm"
}
```

***

### 💰 Pricing (Pay-Per-Event)

This actor operates on a pay-as-you-go **Pay-Per-Event (PPE)** pricing model. You only pay for what you extract:

| Event Name | Purpose | Price (USD) | Description |
|---|---|---|---|
| **`apify-default-dataset-item`** | result | `$0.00475` | Single result in the default dataset. |
| **`pain-point-analysis`** | AI pain-point analysis | `$0.05` | Charged per employer analyzed with the AI pain-point pass (ranked employee complaint themes, strengths, attrition signals, quick wins from its reviews). Only when painPointAnalysis is enabled and the user is on a paid plan. |
| **`apify-actor-start`** | Actor Start | `$0.005` | Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event). |
| **`review-insights`** | Review insights | `$0.02` | Charged per company analyzed into a deterministic review\_insights summary (rating breakdown, complaint themes, top negative terms, requests). Only when the reviewInsights option is enabled. Eight other actors of mine already charge this exact event at this exact price; this one was simply missed. |

***

### 🏷️ Tags & Keywords

`glassdoor`, `glassdoor-scraper`, `employee-reviews`, `hr-analytics`, `company-ratings`, `jobs`, `salaries`, `interviews`, `employer-branding`, `market-research`, `sentiment-analysis`

# Actor input Schema

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

Glassdoor company review or overview URLs (e.g. https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm).

## `searchQuery` (type: `string`):

Free-text company or job search query (e.g. 'Google Reviews' or 'Meta'). Used if startUrls is empty.

## `maxItems` (type: `integer`):

Maximum number of items (reviews/records) to scrape.

## `command` (type: `string`):

Choose which dataset to extract from the provided company pages.

## `proxy` (type: `object`):

Proxy configuration. Using Apify Residential proxies is strongly recommended for Glassdoor.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
    }
  ],
  "searchQuery": "Google Reviews",
  "maxItems": 50,
  "command": "reviews",
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (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 '<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"
        }
    ],
    "searchQuery": "Google Reviews"
};

// Run the Actor and wait for it to finish
const run = await client.actor("madeingermany/glassdoor-scraper-ppr").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" }],
    "searchQuery": "Google Reviews",
}

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

```

## MCP server setup

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

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/9pRkOBX5ePkPWRVND/builds/XYXJvsCueiitgj84F/openapi.json