This dataset provides comprehensive real-time data from Glassdoor. It includes detailed company information, employee reviews, job postings, salary data, interview data, and more for employers worldwide. The data covers company attributes like ratings, reviews, salaries, benefits, and workplace culture details. Users can leverage this dataset for employer research, job market analysis, and workplace intelligence. The API enables real-time access to Glassdoor's vast employer database and review data, helping businesses make data-driven decisions about recruitment, employer branding, and workplace culture. Whether you're conducting market analysis, tracking employer reputation, or building HR tools, this dataset provides current and reliable Glassdoor data. The dataset is delivered in a JSON format via REST API.

Use our Glassdoor dataset to find market trends and business information on companies as well as how current and past employees perceive and rate them. You may purchase the entire dataset or a customized subset depending on your needs. Popular use cases: competitive business intelligence, location-based marketing, geotargeting, B2B data enrichment, and more. The Glassdoor companies information dataset, one of the largest jobs and recruiting sites, offers a complete company overview with reviews and FAQs that provide insights about jobs and companies. The dataset includes all major data points: Location, Founding date, Revenue range, Size,Management, Company rating, CE outlook, Reviews, and FAQ as added by employees, Rating CEO approvalm and more.

Introduction

Glassdoor Statistics: Glassdoor has indubitably become the chief place for job seekers, employees, and employers to connect and share information among themselves for possible career decisions. The platform keeps growing in popularity in 2024, and it looks more likely to affect job hunting, salary comparisons, and understanding of workplace culture.

In 2025, Glassdoor remains a leading platform for job seekers, employees, and employers to access transparent employer reviews, salary information, and workplace insights. Monthly unique visitors number approximately 55 million, generating over 180 million reviews and salary submissions, while profiling 2.5 million employers globally .

Founded in 2007 and based in Mill Valley, California, it operates under parent company Recruit Holdings following a USD 1.2 billion acquisition in 2018  With more than 40 million total reviews, salaries, and company insights available, Glassdoor continues to be a critical tool for evaluating organizations, comparing compensation in USD, and understanding workplace culture through first-hand employee feedback .

This is an extensive look at Glassdoor statistics in 2025, analyzing user behavior, salary trends, company reviews, and some other notable insights.

Use our Glassdoor Companies Reviews dataset to gain insights into employee reviews, ratings, and feedback on company culture. Popular use cases include employer branding, talent attraction, and analyzing workplace satisfaction trends. The dataset includes all major data points: overview ID, review ID & URL, rating date, number of responses, and more.

The OpenWeb Ninja Glassdoor Data API provides real-time access to extensive company data and employer reviews data from Glassdoor.

Key company data points included in the dataset: Name, Rating, Website, Salary and Job counts, Company size, Revenue, Stock, Competitors, Awards won, and 30+ more data points.

Key employer review data points included in the dataset: Review summary, Pros / Cons, Employee status, Location, Work-Life balance, CEO rating, and 20+ more data points.

OpenWeb Ninja's Glassdoor Data API Stats & Capabilities: - 2M+ Companies/Employers - 80M+ Employee Reviews - 30+ company data points - 20+ review data points - Company search capability

OpenWeb Ninja's Glassdoor Data API common use cases: - Investors and Market Analysts - Market and Industry Trends - Competitive Analysis - Company Insights

The dataset under analysis comprises employee reviews and ratings from a diverse range of companies, including both B Corp-certified and non-certified entities. These reviews, sourced from Glassdoor, offer anonymous insights from current and former employees regarding their workplace experiences. It’s important to note that the data was scraped by the researcher, with the B Corp/non-B Corp classification added post-collection.

Temporal Coverage:

Start Date: June 10, 2008 End Date: August 8, 2024 Geospatial Coverage:

Primarily the United Kingdom, with additional data from global locations, including the United States, Australia, and various other countries. The dataset provides extensive temporal coverage, enabling an in-depth examination of employee satisfaction trends over more than a decade. This broad timeframe facilitates a comprehensive analysis of how employee perceptions and experiences have evolved, particularly in relation to B Corp certification.

The dataset includes a variety of global locations, with significant representation from companies based in the United Kingdom, the United States, Australia, and other countries. This geographic diversity allows for an exploration of whether the impact of B Corp certification on employee satisfaction varies across different regions.

Key features of the dataset include quantitative ratings on various aspects of the employee experience, such as overall satisfaction, work-life balance, compensation, job security, management quality, and company culture. These ratings, typically measured on a scale from 1 to 5, provide a numerical representation of employee sentiments toward their employers.

In addition to these quantitative metrics, the dataset also includes detailed textual reviews, where employees express their thoughts and experiences in their own words. This qualitative data is crucial for conducting sentiment analysis and thematic analysis, allowing for a deeper understanding of the specific aspects of the work environment that may be influenced by B Corp certification.

Overall, this dataset provides a comprehensive foundation for investigating the impact of B Corp certification on employee satisfaction, among many other analyses. It offers insights through both quantitative analysis and qualitative exploration, with the added dimension of B Corp status providing a unique lens for examining corporate social responsibility practices in the workplace.

This statistic presents the web traffic to Glassdoor.com from the United States as of April 2018. During the measured ** days, the online employer review platform had **** million views from mobile connections.

The Data in the dataset is extracted from the Glassdoor website, which is a job posting website. The dataset has data related to data science jobs and salaries and a lot more, offering a clear view of job opportunities. It is packed with essential details like job titles, estimated salaries, job descriptions, company ratings, and key company info such as location, size, and industry. Whether you're job hunting or researching, this dataset helps you understand the job market easily. Start exploring now to make smart career choices!".

Perfect for adding to your Kaggle notebooks, our dataset is a treasure trove for analyzing all kinds of job-related info. Whether you're curious about salary trends or want to find the best-rated companies, this dataset has you covered. It's great for beginners and experts alike, offering lots of chances to learn and discover. You can use it to predict things or find hidden patterns—there's so much you can do! So, get ready to explore the world of jobs with our easy-to-use dataset on Kaggle.

Please Upvote the dataset✨, If you like it because it takes time to make a high-quality Dataset.🍒

Columns in Dataset:

1. **Job Title:** Title of the Job
2. **Salary Estimate:** Estimated salary for the job that the company provides
3. **Job Description:** The description of the job
4. **Rating:** Rating of the company
5. **Company Name:** Name of the Company
6. **Location:** Location of the job
7. **Headquarters:** Headquarters of the company
8. **Size:** Number of employees in the company
9. **Founded:** The year company founded
10. **Type of ownership:** Ownership types like private, public, government, and non-profit organizations
11. **Industry:** Industry type like Aerospace, Energy where the company provides services
12. **Sector:** Which type of services company provide in the industry, like industry (Energy), Sector (Oil, Gas)
13. **Revenue:** Total revenue of the company
14. **Competitors:** Company competitors

This large dataset (+8 million obs) contains job descriptions and rankings among various criteria such as work-life balance, income, culture, etc.

This data set complements the Glassdoor dataset located [here].(https://www.kaggle.com/datasets/davidgauthier/glassdoor-job-reviews)

Please cite as: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=FQstpaoAAAAJ&citation_for_view=FQstpaoAAAAJ:UebtZRa9Y70C

Glassdoor Reviews Glassdoor produces reports based upon the data collected from its users, on topics including work–life balance, CEO pay ratios, lists of the best office places and cultures, and the accuracy of corporate job searching maxims. Data from Glassdoor has also been used by outside sources to produce estimates on the effects of salary trends and changes on corporate revenues. Glassdoor also puts the conclusions of its research of other companies towards its company policies. In 2015, Tom Lakin produced the first study of Glassdoor in the United Kingdom, concluding that Glassdoor is regarded by users as a more trustworthy source of information than career guides or official company documents.

Features The columns correspond to the date of the review, the job name, the job location, the status of the reviewers, and the reviews. Reviews are divided into sub-categories Career Opportunities, Comp & Benefits, Culture & Values, Senior Management, and Work/Life Balance. In addition, employees can add recommendations on the firm, the CEO, and the outlook.

Other information Ranking for the recommendation of the firm, CEO approval, and outlook are allocated categories v, r, x, and o, with the following meanings: v - Positive, r - Mild, x - Negative, o - No opinion

Some examples of the textual data entries MCDONALD-S I don't like working here,don't work here Headline: I don't like working here,don't work here Pros: Some people are nice,some free food,some of the managers are nice about 95% of the time Cons: 95% of people are mean to employees/customers,its not a clean place,people barely clean their hands of what i see,managers are mean,i got a stress rash because of this i can't get rid of it,they don't give me a little raise even though i do alot of crap there for them Rating: 1.0

KPMG Quit working people to death Headline: Quit working people to death Pros: Lots of PTO, Good company training Cons: long hours, clear disconnect between management and staff, as corporate as it gets Rating: 2.0

PRIMARK Sales assistant Headline: Sales assistant Pros: Lovely staff, managers are also very nice Cons: Hardwork, often rude customers, underpaid for u18 Rating: 3.0

J-P-MORGAN Life in JPM, Bangalore Headline: Life in JPM, Bangalore Pros: Good place to start, lots of opportunity. Cons: Be ready to put in a lot of effort not a place to chill out. Rating: 4.0

VODAFONE Good to be here Headline: Good to be here Pros: Fast moving with technology. Leading Cons: There are areas you may want to avoid Rating: 5.0

Fast and reliable real-time API access to Glassdoor data with 2M+ companies and 80M+ employer reviews from around the world.

Glassdoor Data with U.S. salary insights, executive compensation, and company-level benchmarks. This structured Glassdoor Data powers HR analytics, payroll benchmarking, and financial modeling across startups, growth-stage firms, and enterprise organizations.

Traffic analytics, rankings, and competitive metrics for glassdoor.com as of October 2025

Dataset

This dataset was created by Lokesh

Contents

This large dataset contains job descriptions and rankings among various criteria such as work-life balance, income, culture, etc. The data covers the various industries in the UK. Great dataset for multidimensional sentiment analysis.

This data set complements the Glassdoor dataset located [here].(https://www.kaggle.com/datasets/davidgauthier/glassdoor-job-reviews-2)

Please cite as: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=FQstpaoAAAAJ&citation_for_view=FQstpaoAAAAJ:UebtZRa9Y70C

Glassdoor Reviews

Glassdoor produces reports based upon the data collected from its users, on topics including work–life balance, CEO pay ratios, lists of the best office places and cultures, and the accuracy of corporate job searching maxims. Data from Glassdoor has also been used by outside sources to produce estimates on the effects of salary trends and changes on corporate revenues. Glassdoor also puts the conclusions of its research of other companies towards its own company policies. In 2015, Tom Lakin produced the first study of Glassdoor in the United Kingdom, concluding that Glassdoor is regarded by users as a more trustworthy source of information than career guides or official company documents.

Features

The columns correspond to the date of the review, the job name, the job location, the status of the reviewers, and the reviews. Reviews are divided in s sub-categories Career Opportunities, Comp & Benefits, Culture & Values, Senior Management, and Work/Life Balance. In addition, employees can add recommendations on the firm, the CEO, and the outlook.

Other information

Ranking for the recommendation of the firm, CEO approval, and outlook are allocated categories v, r, x, and o, with the following meanings: v - Positive, r - Mild, x - Negative, o - No opinion

Some examples of the textual data entries

MCDONALD-S I don't like working here,don't work here Headline: I don't like working here,don't work here Pros: Some people are nice,some free food,some of the managers are nice about 95% of the time Cons: 95% of people are mean to employees/customers,its not a clean place,people barely clean their hands of what i see,managers are mean,i got a stress rash because of this i can't get rid of it,they don't give me a little raise even though i do alot of crap there for them Rating: 1.0

KPMG Quit working people to death Headline: Quit working people to death Pros: Lots of PTO, Good company training Cons: long hours, clear disconnect between management and staff, as corporate as it gets Rating: 2.0

PRIMARK Sales assistant Headline: Sales assistant Pros: Lovely staff, managers are also very nice Cons: Hardwork, often rude customers, underpaid for u18 Rating: 3.0

J-P-MORGAN Life in JPM, Bangalore Headline: Life in JPM, Bangalore Pros: Good place to start, lots of opportunity. Cons: Be ready to put in a lot of efforts not a place to chill out. Rating: 4.0

VODAFONE Good to be here Headline: Good to be here Pros: Fast moving with technology. Leading Cons: There are areas you may want to avoid Rating: 5.0

Context This data was created to build a model to predict the job vacancies and salaries of companies in different industries.

Source The CSV data was scraped from https://www.glassdoor.com/ and converted into dataset using python libraries BeautifulSoup, requests, and pandas.

Inspiration You can build a recommender system based on different attributes of companies in different domains using the CSV data.

369 Global import shipment records of Glassdoor with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Hello! I scraped this small dataset of data science job listings from Glassdoor.com. This dataset is not brand new (scraped in 2021).

🛑 DISCLAIMER: This dataset is uncleaned and extremely messy!

Data: This dataset has 2573 instances/records.

1 - 'company': A string with or without a company rating 2 - 'job title': A string of the job title 3 - 'headquarters': A string of the company's headquarters location 4 - 'salary estimate': A string of the provided estimated salary or salary range 5 - 'job type': A string for the job type (full-time, part-time, internship, etc) 6 - 'size': A string estimating the number of employees at a job 7 - 'founded': An int specifying the year of company founding 8 - 'type': A string for company type (public, private, etc) 9 - 'industry': A string for their industry 10 - 'sector': A string for the sector 11 - 'revenue': A string for the revenue the company generated 12 - 'job description' : A string description of the job and/or the company

NOTE: ensure columns with strings are parsed and cleaned thoroughly; this includes null values which may be represented differently NOTE: null values are represented as a -1

Thank you!

Introducing Job Posting Datasets: Uncover labor market insights!

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Job Posting Datasets Source:

1. Indeed: Access datasets from Indeed, a leading employment website known for its comprehensive job listings.

2. Glassdoor: Receive ready-to-use employee reviews, salary ranges, and job openings from Glassdoor.

3. StackShare: Access StackShare datasets to make data-driven technology decisions.

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11 Active Global Glassdoor buyers list and Global Glassdoor importers directory compiled from actual Global import shipments of Glassdoor.

The global company reviews and ratings market is experiencing robust growth, driven by increasing transparency expectations from both job seekers and employees. In 2025, the market is estimated to be valued at approximately $1,500 million. This upward trajectory is fueled by the critical role these platforms play in talent acquisition and employer branding. Companies are increasingly recognizing that a strong online reputation is essential for attracting top talent, leading to greater investment in managing and promoting their profiles on review sites. Furthermore, employees are more empowered than ever to share their experiences, making company reviews a significant factor in career decisions. Key drivers include the growing digital adoption in recruitment processes, the rise of remote work influencing employer choices, and a heightened focus on company culture and employee well-being as differentiators in a competitive job market. The CAGR of 15% projected for the period 2025-2033 indicates a sustained and accelerating expansion, suggesting that this market will continue to be a vital component of the HR technology landscape. The market segmentation reveals a dynamic landscape with opportunities across both employer and employee applications. Within company reviews, the focus is on detailed qualitative feedback, while company ratings offer a quick, quantitative overview of employer performance. Leading players like Glassdoor, Indeed, and Comparably are dominating the space by offering comprehensive platforms that cater to both needs. The geographical distribution indicates a strong presence in North America and Europe, with significant growth potential in the Asia Pacific region, particularly in emerging economies like China and India, where digital penetration and labor market evolution are rapid. Restraints such as potential for biased reviews and the challenge of maintaining authentic feedback are being addressed through advanced algorithms and community moderation. However, the overarching trend towards data-driven HR decision-making and the continuous demand for verifiable employer insights will ensure the market's continued expansion. This report provides an in-depth analysis of the global Company Reviews & Ratings market, offering critical insights for stakeholders navigating this dynamic landscape. The study period spans from 2019 to 2033, with a base year of 2025, and encompasses a detailed forecast period of 2025-2033, building upon historical data from 2019-2024. The market is projected to witness significant growth, with revenues expected to reach $XX million by the end of the forecast period.