The Best Glassdoor Datasets of 2025
Glassdoor holds a massive amount of employee-reported data, and, when analyzed, can give companies a competitive edge. Let’s take a look at the best Glassdoor datasets available, and how they can benefit you.
Glassdoor datasets provide structured insights into various workplace details, such as compensation, employee satisfaction, hiring practices, and more. Businesses can use this information for competitive benchmarking, while those looking for a job can have realistic salary or culture expectations.
The Best Glassdoor Dataset Providers of 2025:
1. Coresignal – the most comprehensive Glassdoor dataset provider.
2. Bright Data – a flexible Glassdoor data provider.
3. Oxylabs – customizable Glassdoor datasets for businesses.
4. Apify – multiple APIs for Glassdoor data.
5. Infatica – custom-made Glassdoor datasets.
What Are Glassdoor Datasets?
A Glassdoor dataset is a structured collection of employee-reported information about salaries, company reviews, interview experiences, and workplace culture. In addition, it can have company and vacancy information from employers.
As individual reports add up, the data later on can be extracted to form a sizable dataset that can offer insights into job market trends, industry standards, employer reputation, and hiring practices. However, since some data is self-reported, it can be incomplete or biased toward certain industries.
Popular Use Cases for Glassdoor Datasets
Glassdoor datasets can be a valuable resource for multiple fields and stakeholders, from employees and job seekers to researchers.
Businesses can use these datasets for salary benchmarking, competitive research, and workplace culture improvement. Potential employees, on the other hand, can use them to negotiate pay and evaluate employers across industries.
But not only employers and employees can benefit from Glassdoor datasets – business analysts, academic and independent researchers can also use this data to discover past tendencies, predict trends, and see the market change from thousands of reviews.
Here are a few examples of how Glassdoor datasets can be used in different fields.
Business management | Human resources management | Academic & business research |
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What to Look for in a Glassdoor Dataset?
When you’re choosing a Glassdoor dataset, make sure to review if it’s suitable for your use case. A good rule of thumb is to check the volume and data freshness, but there are other things you should consider:
- Data volume. A larger dataset will typically provide more reliable insights and allow for better trend analysis. Look for datasets with a larger number of entries to ensure you’re working with enough data.
- Data freshness. Look for a dataset that is regularly refreshed to reflect the latest changes in reviews, salaries, and job openings. Check how often the data is updated (i.e., daily, weekly, monthly, or quarterly) to ensure you have the most current information at hand.
- Filtering options. High-quality datasets let you segment the data by job title, industry, location, company size, and other relevant factors. This flexibility can be helpful if you’re looking to extract specific insights.
- Coverage. Make sure the dataset provides data from across various industries, job roles, locations, and other relevant elements. A dataset with broad coverage will provide better insights, especially if you are comparing different sectors or geolocations.
- Delivery methods. For your own convenience, you can look into dataset delivery methods. Typically, you’ll find Glassdoor datasets available in JSON and CSV formats for easier access and analysis.
- Price. While some Glassdoor datasets may be available for free, premium service (i.e. datasets with more data points, up to date information, more delivery options) will cost you extra.
Alternatives to Glassdoor Datasets
If you want a more hands-on approach, like collecting Glassdoor data yourself, you can choose to use a web scraping API. Web scraping APIs are tools for collecting real-time data from Glassdoor or other websites. There are many web scraping API providers in the market.
If you want a more comprehensive approach to company information, you might want data that’s not only on Glassdoor. In that case, you can opt for company data datasets that pull information from more sources.
The Best Glassdoor Datasets of 2025
1. Coresignal
The most comprehensive Glassdoor dataset provider.
Available tools
Datasets
Refresh frequency
monthly; continuously (Jobs dataset only)
- Data formats: JSON
- Pricing model: one-time purchase, yearly contract
- Pricing structure: custom
- Support: contact form, dedicated account manager
- Free trial: data samples available
- Starting price: $1,000
Coresignal specializes in datasets and data extraction services. The provider offers multiple datasets designed for business analysis, and one of them is a Glassdoor dataset.
Coresignal’s Glassdoor dataset is divided into three parts. You can find Glassdoor companies, Glassdoor jobs, and Glassdoor reviews information, so you get a variety of data. The records also date back to 2017, so you can use it for historical data analysis. It’s very detailed – you get access to company names, job titles, locations, salaries, websites, employee reviews, and more.
The dataset is updated every month (Jobs is updated continuously), and you can select how often you want to receive refreshed data (monthly or quarterly). It can be delivered to Amazon S3, Google Cloud, or Azure storages, or you ask for a link to retrieve it from Coresignal’s storage. Unfortunately, the data formats here are sparse – you can only get this dataset in JSON.
Coresignal’s dataset price can appear quite high. However, if you’re planning to work with Glassdoor datasets often, it’s a pretty good deal considering how many records you’re receiving.
For more information, read our Coresignal review.
2. Bright Data
A flexible Glassdoor data provider.
Available tools
Customizable datasets, web scraping APIs with structured Glassdoor data
Refresh frequency (datasets):
one-time, monthly, quarterly, bi-annually
- Data formats:
– APIs: JSON & CSV
– Datasets: JSON, ndJSON, CSV & XLSX - Pricing model:
– Datasets: one-time, biannual, quarterly, monthly refresh
– Web Scraper API: subscription or pay as you go
Pricing structure: based on records - Support: 24/7 via live chat, dedicated account manager
- Free trial: 7-day trial for businesses, 3-day refund for individuals; dataset samples available
- Starting price:
– Datasets: $500 for 200K records ($2.50/1k records)
– Web Scraper API: $1/1K records or $499/month ($0.85/1K records)
Bright Data offers a wide selection of ways to get data: namely, Glassdoor datasets and a web scraping API with a Glassdoor endpoint.
The provider offers three pre-made Glassdoor datasets – company overview, job listings, and company reviews – that you can download in JSON, CSV, and Parquet formats. Self-service also lets you customize the dataset – pick preferred filters, choose what updates you need, and review if the data meets your needs.
You also have a variety of delivery options – Bright Data offers delivering to Snowflake, Amazon S3, Google Cloud, Azure, and SFTP storage with the possibility to get data refreshed on a custom schedule.
The web scraping API, on the other hand, comes with multiple ready-made scraper templates for Glassdoor and will deliver desired data in real time. You can choose from 8 templates which include company overview, job listings, You get a ton of delivery options and formats, and the API itself is very customizable: you can adjust data collection scale, set record limits, and more.
Bright Data’s service is not cheap, but it’s designed for enterprise use. You pay for excellent documentation, a dedicated account manager, and an array of useful tools for Glassdoor data collection.
For more information, read our Bright Data review.
3. Oxylabs
Customizavle Glassdoor datasets for businesses.
Available tools
job posting dataset with Glassdoor data; custom datasets
Refresh frequency
one-time, monthly, quarterly (standard), and daily, weekly, custom frequency (custom)
- Data formats: XLSX, CSV & JSON
- Pricing structure: one-time payment or subscription
- Support: 24/7 via live chat, dedicated account manager
- Free trial: not disclosed
- Starting price:
– Standard job postings dataset: $1,000 per month
– Custom Glassdoor dataset: custom, contact sales
Oxylabs is a known player in the data industry catering to large business clients. The provider offers two ways to get Glassdoor data – either choosing a standard job postings dataset that will include data from other sources or getting a fully customized Glassdoor dataset.
The standard job postings dataset contains data from sources like Glassdoor, Indeed, and StackShare, and will provide you information on job titles, company overview, vacancies, locations, salaries, and more.
You can receive the dataset straight to your preferred storage – Amazon S3, Google Cloud, Azure, or other bucket in CSV, JSON, or xlsx formats. The job postings dataset can be refreshed and delivered to you on an agreed interval, but not more frequently than monthly.
The custom Glassdoor dataset is even more flexible. You can completely customize what data points from Glassdoor you want to receive and get them delivered in multiple formats. The key aspect is the delivery frequency – you can request refreshed data to be brought to you as often as daily. You’ll also receive access to a dedicated Slack channel for easy communication with the account managers.
Similarly to other providers on the list, Oxylabs’s starting price is steep, and the custom option is likely even more expensive.
For more information, read our Oxylabs review.
4. Apify
Multiple APIs for Glassdoor data.
Available tools
Actors (different APIs), ability to develop a custom Actor
Refresh frequency
custom
- Data formats: JSON, CSV, XML, RSS, JSONL & HTML table
- Pricing model: based on usage
- Pricing structure: subscription
- Support: contact form, Discord community, live chat (Mon-Fri 8:00 AM – 5:00 PM UTC)
- Free trial: a free plan with $5 platform credits is available
- Price: custom (rental, pay per: result, event, or usage); or $49/month
Apify is a slightly unorthodox option for getting Glassdoor datasets, as it doesn’t offer datasets as a service. Instead, the provider has various pre-made Actors that can extract and format Glassdoor data for you.
Actors are easy to use, have relatively simple interfaces, and customizable settings. This enables quick handling of incoming requests without complex setup or technical expertise. Despite that, it will take longer compared to downloading a dataset.
Each Actor generates a separate dataset that you can later use for data processing. These ready-made Glassdoor datasets can be exported in multiple formats, including JSON, CSV, XML, xlsx, and others.
Apify’s pricing varies based on Actors, with options to pay per use. Unfortunately, this means you won’t know the final price of your project until after it’s done. However, you can subscribe to a monthly plan which will help save money if you’re planning to collect data at large.
5. Infatica
Custom-made Glassdoor datasets.
Available tools
custom dataset
Refresh frequency
custom
- Data formats: JSON, CSV
- Pricing model: not disclosed
- Pricing structure: monthly payments with a yearly contract
- Support: 24/7 customer support via chat, email or tickets
- Free trial: contact sales
- Price: custom
Infatica is better known as a proxy provider, but it launched a different data service – datasets.
The service differs from others on the list because Infatica doesn’t have pre-made datasets, but instead offers custom ones from various websites, including Glassdoor.
Knowing that Infatica’s datasets are customizable, you can pick what data you need and how often you want to receive it. The custom-made Glassdoor dataset can be delivered in JSON, CSV, or other output formats, and then delivered via your chosen cloud service.
The main downside of Infatica’s datasets is the vagueness. There’s little information available on the website, so you’ll need to contact sales or customer support to find out if the service is a viable option for your specific case.
For more information, read our Infatica review.
- March 24, 2025