# Glassdoor Sentiment Dataset for NLP & AI Training

**Use case:** 

A labeled Glassdoor review corpus with star ratings, pros and cons across software firms gives data scientists ready training data for sentiment models.

## Input

```json
{
  "mode": "live",
  "companyUrls": [
    "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
  ],
  "companyNames": [
    "IBM",
    "Oracle",
    "SAP"
  ],
  "maxReviews": 500,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "companyName": {
    "label": "Company",
    "format": "text"
  },
  "overallRating": {
    "label": "Company Rating",
    "format": "text"
  },
  "ratingOverall": {
    "label": "Review Rating",
    "format": "text"
  },
  "jobTitle": {
    "label": "Job Title",
    "format": "text"
  },
  "summary": {
    "label": "Summary",
    "format": "text"
  },
  "reviewDate": {
    "label": "Date",
    "format": "text"
  }
}
```

## About this Actor

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