# Glassdoor Reviews Customized (`hello.datawizards/glassdoor-reviews-bulk-scraper-pro`) Actor

Effortlessly extract structured employee reviews from Glassdoor using the Glassdoor-Reviews Apify Actor. Get detailed insights like ratings, pros & cons, job titles, and more—perfect for HR analytics, employer branding, sentiment tracking, and competitor research with JSON-ready output.

- **URL**: https://apify.com/hello.datawizards/glassdoor-reviews-bulk-scraper-pro.md
- **Developed by:** [datawizards](https://apify.com/hello.datawizards) (community)
- **Categories:** Automation, Lead generation, Jobs
- **Stats:** 91 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 1.66 out of 5 stars

## Pricing

from $10.00 / 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/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 · Apify Actor

Extract **authentic employee reviews and ratings** from Glassdoor with structured JSON output. Perfect for HR analytics, employer branding research, and competitive insights.

Built and maintained by [DataWizards](https://linkedin.com/in/data-wizards-aa8080342).

***

### 📌 What Is `Glassdoor-Reviews`?

The `Glassdoor-Reviews` Apify Actor lets you **scrape detailed company reviews from Glassdoor** by simply specifying a company name. This actor retrieves structured data including job titles, ratings, pros, cons, reviewer location, and more — all in JSON format, ready for analysis or integration.

Ideal for HR analysts, recruiters, brand researchers, and developers seeking transparent employee sentiment.

***

### 🧠 Key Features

- ✅ Extracts up to **hundreds of real employee reviews**
- ✅ Captures **overall ratings**, CEO approval, compensation, work-life balance, and more
- ✅ Returns structured data in **clean JSON**
- ✅ Supports **RESIDENTIAL proxies** to avoid blocks
- ✅ Lightweight, high-speed, and customizable

***

### 🛠️ Input Schema

Use the following input configuration to start extracting reviews:

```json
{
  "item_limit": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  },
  "companyName": "apple"
}
```

#### 🔐 Proxy Configuration

- **useApifyProxy**: Set to `true` (mandatory)
- **apifyProxyGroups**: We recommend `"RESIDENTIAL"` to bypass geo-restrictions and ensure high success rates

***

### 📤 Output Example

```json
[
  {
    "REVIEW_ID": 98333591,
    "RATING_OVERALL": 5,
    "RATING_RECOMMEND_TO_FRIEND": "POSITIVE",
    "RATING_CEO": "APPROVE",
    "RATING_BUSINESS_OUTLOOK": "POSITIVE",
    "RATING_CAREER_OPPORTUNITIES": 5.0,
    "RATING_COMPENSATION_AND_BENEFITS": 5.0,
    "RATING_CULTURE_AND_VALUES": 5,
    "RATING_DIVERSITY_AND_INCLUSION": 5,
    "RATING_SENIOR_LEADERSHIP": 5.0,
    "RATING_WORK_LIFE_BALANCE": 5.0,
    "REVIEW_DATE_TIME": "2025-06-27T14:44:58.197",
    "IS_CURRENT_JOB": false,
    "LENGTH_OF_EMPLOYMENT": 2,
    "JOB_TITLE": "Sales Technician",
    "LOCATION": "Vancouver, BC",
    "EMPLOYER_ID": 1138,
    "EMPLOYER_SHORT_NAME": "Apple",
    "EMPLOYER_LOGO_URL": "https://media.glassdoor.com/sql/1138/apple-squarelogo-1595530154096.png",
    "SUMMARY": "Sales Technician Apple store",
    "PROS": "Amazing environment, very supportive management team, Great learning experience",
    "CONS": "People can be aggressive towards you",
    "ADVICE": "N/A"
  }
]
```

***

### 🚀 Use Cases

- 🧑‍💼 **HR Sentiment Analysis** – Understand how current and former employees feel
- 📊 **Competitor Benchmarking** – Compare public employee feedback on rival companies
- 🧠 **Market Research** – Analyze employer reputation for investors or consultants
- 🌍 **Global Employer Branding** – Track perception in different regions over time

***

### ✅ Best Practices

- Use **residential proxies** for consistent and unblockable results
- Always match your company name to Glassdoor's naming conventions for accuracy
- Respect Glassdoor's [robots.txt](https://www.glassdoor.com/robots.txt) and API usage policies
- For high-volume scraping, use delays or run the actor in batches

***

### 🤝 Support

Need custom formats, custom review filters, or specific review fields?

**DataWizards are ready to help!**

📩 Email: <hello.datawizard@gmail.com>
✉️ **Subject**: `Glassdoor-Reviews Actor – Support Request`
🔗 Connect: [linkedin.com/in/data-wizards-aa8080342](https://linkedin.com/in/data-wizards-aa8080342)

***

### 🧰 Need More?

Want filtered reviews (e.g., only positive/negative), advanced analytics, or integration with your HR systems?

💡 Let us build a tailored solution for you.
**Custom scrapers, faster delivery, cleaner JSON. We got you.**

***

### 💬 Feedback & Bug Reports

Found a bug or want an enhancement?

📧 Email: `hello.datawizard@gmail.com`
🛠️ **Subject**: `Bug Report – Glassdoor-Reviews Actor`
Or open an issue directly via [Apify Console](https://apify.com)

#### 🏁 Start extracting detailed employee insights with `Glassdoor-Reviews` — your gateway to honest, structured workplace data.

***

# Actor input Schema

## `searchkeyword` (type: `string`):

Company Name is required

## `item_limit` (type: `integer`):

The maximum number of items to scrape.

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

Specifies proxy servers that will be used by the scraper in order to hide its origin.

## Actor input object example

```json
{
  "searchkeyword": "Google",
  "item_limit": 400,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "searchkeyword": "Google",
    "item_limit": 400,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("hello.datawizards/glassdoor-reviews-bulk-scraper-pro").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 = {
    "searchkeyword": "Google",
    "item_limit": 400,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("hello.datawizards/glassdoor-reviews-bulk-scraper-pro").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 '{
  "searchkeyword": "Google",
  "item_limit": 400,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call hello.datawizards/glassdoor-reviews-bulk-scraper-pro --silent --output-dataset

```

## MCP server setup

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

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/gQAcr7EJxyhRFJBxh/builds/qI3cI4xzSSAAnHR1c/openapi.json