# Google Employee Reviews and Salaries on Glassdoor

**Use case:** 

Google employee reviews on Glassdoor (ratings, pros, cons, job title) and salary ranges for top positions.

## Input

```json
{
  "companyName": "Google",
  "maxReviews": 30,
  "includeSalaries": true
}
```

## Output

```json
{
  "type": {
    "label": "Record Type",
    "format": "string"
  },
  "companyName": {
    "label": "Company Name",
    "format": "string"
  },
  "reviewTitle": {
    "label": "Review Title",
    "format": "string"
  },
  "text": {
    "label": "Review Text",
    "format": "string"
  },
  "pros": {
    "label": "Pros",
    "format": "string"
  },
  "cons": {
    "label": "Cons",
    "format": "string"
  },
  "ratingOverall": {
    "label": "Overall Rating",
    "format": "number"
  },
  "ratingWorkLifeBalance": {
    "label": "Work-Life Balance Rating",
    "format": "number"
  },
  "ratingCultureValues": {
    "label": "Culture & Values Rating",
    "format": "number"
  },
  "ratingDiversityInclusion": {
    "label": "Diversity & Inclusion Rating",
    "format": "number"
  },
  "ratingSeniorManagement": {
    "label": "Senior Management Rating",
    "format": "number"
  },
  "ratingCareerOpportunities": {
    "label": "Career Opportunities Rating",
    "format": "number"
  },
  "ratingCompensationBenefits": {
    "label": "Compensation & Benefits Rating",
    "format": "number"
  },
  "jobTitle": {
    "label": "Job Title",
    "format": "string"
  },
  "date": {
    "label": "Date",
    "format": "string"
  },
  "helpfulCount": {
    "label": "Helpful Count",
    "format": "integer"
  },
  "authorPseudonymized": {
    "label": "Author (Pseudonymized)",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Glassdoor Scraper - Company Reviews & Salaries Actor is ready to run with the inputs already set for "Google Employee Reviews and Salaries on Glassdoor". [Sign up or log in](https://console.apify.com/create-task-from-example/KYAklhHQwyAMJnkUm) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Google Employee Reviews and Salaries on Glassdoor" task

The Glassdoor Scraper - Company Reviews & Salaries Actor will start running based on the input automatically. You can also change all the input fields, like company name, maximum reviews, and more, to match your specific use case.

### 3. Receive the "Google Employee Reviews and Salaries on Glassdoor" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as record type, company name, review title, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Google Employee Reviews and Salaries on Glassdoor" task via API](https://apify.com/sweet_stickball/glassdoor-scraper.md).

## About this Actor

This example demonstrates how to use [Glassdoor Scraper - Company Reviews & Salaries](https://apify.com/sweet_stickball/glassdoor-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sweet_stickball/glassdoor-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/sweet_stickball/glassdoor-scraper.md

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`).