Glassdoor Reviews Dataset

Use our Glassdoor reviews dataset to access detailed employee reviews, ratings, and insights into company cultures across various industries. This dataset includes feedback on work-life balance, leadership, compensation, and career growth opportunities, tailored for HR professionals, recruiters, and business analysts.

Data-fields
33
Total records
28.9M+
Starts at
Up to $0.0025 per record
Min Order
$250
GDPR ready

Glassdoor Reviews Datasets Pricing

Refresh rate
100K
500K
1M
5M
20M
Complete
Dataset
3TB
  • Clean and validated
  • Refreshed monthly
  • JSON/CSV/Parquet

Filter the Glassdoor Reviews dataset with a single prompt

Describe exactly what you need, and let AI apply the perfect filters in seconds.

  • Describe data needs in plain English
  • AI applies accurate filters automatically
  • Narrow huge datasets to only what matters to you
  • Cut costs by skipping irrelevant data
  • Export filtered data in your preferred format
Available delivery options
delivery methods

Maximize value with strategic cost savings

Smart data updates

Access only "New Records" or "Updated Records," ensuring you pay only for what you need".

Dataset bundles

Gain greater value by purchasing two or more datasets together, with exclusive discounts.

Volume discounts

Get more for less with significant savings when purchasing large datasets or updates subscriptions.

Enriched Datasets

Save time and resources with pre-built datasets that combine multiple sources into one clean dataset.

Glassdoor reviews dataset sample

Use our Glassdoor reviews dataset to gain insights into employee reviews, ratings, and feedback on company culture.

Power AI Agents Instantly

Our Glassdoor Reviews datasets are AI/LLM-optimized: clearly structured, well-documented, with code and
recipes for easy LLM/chatbot integration.

structured data

Structured & Clean

Pre-processed data with consistent schemas, perfect for AI model training and inference.

code examples

Code Examples

Ready-to-use Python, Node.js, cURL, PHP, Go, Java, and Ruby snippets for easy integration with AI workflows.

documentation

Documentation

Comprehensive guides and notebooks for ChatGPT, Claude, and other LLM integrations.
                              curl --request GET 
--url https://api.brightdata.com/datasets/snapshots/{id}/download 
--header 'Authorization: Bearer '
                              
                            
                              import requests
url = "https://api.brightdata.com/datasets/snapshots/{id}/download"
headers = {"Authorization": "Bearer "}
response = requests.get(url, headers=headers)
print(response.json())
                              
                            
                              const url = 'https://api.brightdata.com/datasets/snapshots/{id}/download';
const options = {method: 'GET', headers: {Authorization: 'Bearer '}, body: undefined};

try {
const response = await fetch(url, options);
const data = await response.json();
console.log(data);
} catch (error) {
console.error(error);
}
                              
                            
                              HttpResponse response = Unirest.get("https://api.brightdata.com/datasets/snapshots/{id}/download")
.header("Authorization", "Bearer ")
.asString();
                              
                            
                              require 'uri'
require 'net/http'

url = URI("https://api.brightdata.com/datasets/snapshots/{id}/download")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer '

response = http.request(request)
puts response.read_body
                              
                            

Glassdoor reviews dataset tailored to your needs

Get easy to use, well-structured datasets for any use case

Data subscription

Subscribe to access datasets at a significantly reduced cost.

File output formats

JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.

Flexible delivery

Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.

Scalable data

Scale without worrying about infra, proxy servers, or blocks.

Cost savings

Customize any dataset using filters and formatting options.

unlimited sessions

Code maintenance

Datasets are maintained based on website structure changes.

Simplified integrations

Benefit from integrations with Snowflake and AWS.

support

24/7 support

A dedicated team of data professionals is here to help.

Leaders in compliance

Data is ethically obtained and compliant with all privacy laws.

Get structured and reliable Glassdoor reviews data

We’ll provide the data while you focus on the rest

High-volume web data

With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.

Data for immediate use

Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.

Automated data flow

Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.

Use cases

Glassdoor Reviews dataset use cases

Trusted and verified Glassdoor Reviews data for your business.

Business intelligence

Overall rating
Review pros
Review cons
Analyze employee ratings, pros, and cons by company to understand satisfaction, culture, and what drives people to stay or leave.

Find investment opportunities

Business outlook
CEO approval
Rating date
Track employees' business outlook and CEO approval over time to spot companies on the rise or in decline before it shows in results.

Competitor insights

Culture and values
Compensation rating
Company name
Compare competitors' ratings for culture, pay, and leadership to see where they are strong, where they struggle, and how to win talent.

Employer brand improvement

Advice to management
Job title
Employee status
Read advice to management by job title and employee status to find the issues current and former employees raise most.

Glassdoor reviews dataset FAQs

The Glassdoor data points include: overview ID, review ID, review URL, rating date, number of helpful content clicks, employee length, and much more.

Yes, you can get updates to your Glassdoor reviews dataset on a daily, weekly, monthly, or custom basis.

Yes, you can purchase a Glassdoor subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.

Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.

If you don’t want to purchase a dataset, you can start scraping Glassdoor data using our Glassdoor scraper.

Get your Glassdoor reviews dataset today.