# Glassdoor Company Reviews Scraper

**Use case:** 

Export the employee reviews behind a Glassdoor company page. This example pulls reviews with the star rating, the pros and cons text, the reviewer job title and location, and the date. HR teams use it to benchmark employer brand against competitors, and researchers use it to track sentiment over time instead of reading one page at a time.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
    }
  ],
  "includeReviewStats": true,
  "includeInterviewStats": true,
  "includeBenefitStats": true,
  "includeAllSalaries": true,
  "reviewSort": "POPULAR",
  "monitoringMode": false,
  "country": "US",
  "maxItems": 50,
  "fromAge": "",
  "jobType": "",
  "seniorityType": "",
  "remoteWorkType": "",
  "minSalary": 0,
  "maxSalary": 0,
  "includeNoSalaryJob": true,
  "applicationType": "",
  "minRating": 0,
  "radius": 0,
  "industryType": "",
  "employerSizes": ""
}
```

## Output

```json
{
  "reviewId": {
    "label": "ID",
    "format": "number"
  },
  "employerId": {
    "label": "Employer id"
  },
  "ratingOverall": {
    "label": "Rating",
    "format": "number"
  },
  "summary": {
    "label": "Title",
    "format": "text"
  },
  "pros": {
    "label": "Pros",
    "format": "text"
  },
  "cons": {
    "label": "Cons",
    "format": "text"
  },
  "jobTitle": {
    "label": "Job Title",
    "format": "text"
  },
  "employmentStatus": {
    "label": "Status",
    "format": "text"
  },
  "reviewDate": {
    "label": "Date",
    "format": "text"
  },
  "url": {
    "label": "URL",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [🔥 Glassdoor Scraper](https://apify.com/silentflow/glassdoor-scraper-ppe.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/silentflow/glassdoor-scraper-ppe.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/silentflow/glassdoor-scraper-ppe.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`).