# Glassdoor Company Benefits Scraper (`getdataforme/glassdoor-company-benefits-scraper`) Actor

Extract comprehensive employee benefits data from Glassdoor company profiles, including health insurance, retirement plans, and perks. Perfect for HR professionals, researchers, and businesses to analyze and compare offerings....

- **URL**: https://apify.com/getdataforme/glassdoor-company-benefits-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** Jobs
- **Stats:** 7 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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 Company Benefits Spider

### Introduction

The Glassdoor Company Benefits Spider is an Apify Actor designed to extract detailed employee benefits data from Glassdoor company profiles. It scrapes comprehensive information on various benefit categories, including health insurance, retirement plans, work-life balance perks, and more, providing structured data with ratings and verification status. This tool is invaluable for HR professionals, researchers, and businesses seeking to analyze and compare employee benefits across companies.

### Features

- **Comprehensive Data Extraction**: Scrapes detailed benefits across multiple categories like health, retirement, family leave, and perks.
- **Structured Output**: Provides JSON-formatted data with benefit IDs, names, ratings (numerator/denominator), and verification flags.
- **Customizable Limits**: Allows setting item limits and per-page results for efficient data collection.
- **Reliable and Verified**: Includes verified benefits data directly from Glassdoor, ensuring accuracy.
- **Scalable Performance**: Handles large datasets with pagination support for extensive scraping.
- **Easy Integration**: Outputs data in JSON, CSV, or Excel formats for seamless analysis.
- **Error-Resilient**: Built-in handling for common scraping challenges like rate limits and page changes.

### Input Parameters

| Parameter   | Type    | Required | Description                                                                 | Example          |
|-------------|---------|----------|-----------------------------------------------------------------------------|------------------|
| CompanyName | string  | No       | The name of the company to scrape benefits for.                             | "meta"           |
| ItemLimit   | integer | No       | The maximum number of benefit items to retrieve.                            | 30               |
| PerPage     | integer | No       | The number of items to fetch per page.                                      | 10               |

### Example Usage

#### Input

```json
{
  "CompanyName": "meta",
  "ItemLimit": 30,
  "PerPage": 10
}
```

#### Output

```json
[
  {
    "categories": [
      {
        "statistics": [
          {
            "benefit_id": 0,
            "benefit_name": "",
            "benefitRatingDenominator": 4040,
            "benefitRatingNumerator": 18786,
            "verified": false
          }
        ]
      },
      {
        "statistics": [
          {
            "benefit_id": 1,
            "benefit_name": "Health Insurance",
            "benefitRatingDenominator": 870,
            "benefitRatingNumerator": 4182,
            "verified": true
          }
        ]
      }
    ],
    "id": 13837165,
    "rating": 5,
    "createDate": "2026-01-27T01:02:38.553",
    "currentJob": true,
    "userEnteredJobTitle": "AI Researcher",
    "city": "New York, NY",
    "state": "New York State",
    "country": "United States",
    "benefitComments": [
      "Best: 401k match and after tax Roth options \nWorst: terrible mental health providers from Lyra. Not real therapists "
    ],
    "employmentStatusEnums": [
      "CONTRACT",
      "FREELANCE",
      "REGULAR",
      "INTERN",
      "PART_TIME",
      "PER_DIEM",
      "RESERVE",
      "SEASONAL",
      "SELF_EMPLOY",
      "TEMPORARY"
    ],
    "actor_id": "ihSZtQkye1VEL6QP9",
    "run_id": "ylQK0EI7E3WCg6Cve"
  }
]
```

### Use Cases

- **HR Benchmarking**: Compare benefits packages across competitors to inform compensation strategies.
- **Market Research**: Analyze industry trends in employee perks and health offerings.
- **Competitive Intelligence**: Gather data on rival companies' benefits to stay ahead in talent acquisition.
- **Academic Studies**: Collect data for research on workplace satisfaction and benefit impacts.
- **Business Automation**: Automate data collection for dashboards or reports on employee benefits.
- **Consulting Services**: Provide clients with insights into comprehensive benefit landscapes.

### Installation and Usage

1. Search for "Glassdoor Company Benefits Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (e.g., CompanyName, ItemLimit).
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output is a JSON array of objects, each representing a benefit review or entry. Key fields include:

- `categories`: An array of benefit categories (e.g., health, retirement) with `statistics` containing benefit details like `benefit_id`, `benefit_name`, `benefitRatingNumerator` (positive ratings), `benefitRatingDenominator` (total ratings), and `verified` (boolean for authenticity).
- `id`: Unique review identifier.
- `rating`: Overall rating (1-5).
- `createDate`: Timestamp of the review.
- `currentJob`: Boolean indicating if the reviewer is current.
- `userEnteredJobTitle`: Job title of the reviewer.
- `city`, `state`, `country`: Location details.
- `benefitComments`: Array of user comments.
- `employmentStatusEnums`: List of possible employment statuses.
- `actor_id` and `run_id`: Apify-specific identifiers.

This structured format allows easy parsing and analysis of benefits data.

### Error Handling

The Actor handles common errors like invalid company names (returns empty results), rate limiting (automatic retries), and network issues (logs warnings). If a company has no benefits data, it outputs an empty array. For persistent issues, check logs for details.

### Rate Limiting and Best Practices

Glassdoor may impose rate limits; use reasonable ItemLimit and PerPage values (e.g., 10-50) to avoid blocks. Run during off-peak hours and space out requests. Best practices include validating inputs and monitoring runs for optimal performance.

### Limitations and Considerations

Data accuracy depends on Glassdoor's availability; benefits may change. The Actor focuses on public data and respects site terms. For large-scale scraping, consider Apify's proxy rotation. Not all companies have complete benefits listings.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

# Actor input Schema

## `company_name` (type: `string`):

Company Name is required

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

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

## `itemLimit` (type: `integer`):

Specifies the maximum number of items to process.

## Actor input object example

```json
{
  "company_name": "meta",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "itemLimit": 10
}
```

# Actor output Schema

## `results` (type: `string`):

Scraped data items from dataset

# 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_name": "meta",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    },
    "itemLimit": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/glassdoor-company-benefits-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_name": "meta",
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
    "itemLimit": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/glassdoor-company-benefits-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_name": "meta",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "itemLimit": 10
}' |
apify call getdataforme/glassdoor-company-benefits-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/glassdoor-company-benefits-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/SCfqj20CW4xFAJVcF/builds/ag4koV5xShNTFT4fa/openapi.json