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https://github.com/luminati-io/Glassdoor-dataset-samples

A sample dataset of over 1000 Glassdoor company reviews, extracted using the Bright Data API, ideal for competitive analysis, market trends, and B2B company data.
https://github.com/luminati-io/Glassdoor-dataset-samples

api data-science dataset glassdoor glassdoor-jobs glassdoor-reviews webscraping

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A sample dataset of over 1000 Glassdoor company reviews, extracted using the Bright Data API, ideal for competitive analysis, market trends, and B2B company data.

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# Glassdoor-dataset-samples



A sample dataset of 1001 Glassdoor companies reviews



![Glasdoor dataset header](https://github.com/luminati-io/Glassdoor-dataset-samples/blob/main/glassdoor-datasets.PNG)



A Glassdoor dataset sample of over 1000 companies reviews. Dataset was extracted using the Bright Data API.



Data points included in this free dataset:



* ```overview_id```: Unique identifier for the company overview

* ```review_id```: Unique identifier for each review

* ```review_url```: Link to the specific review on Glassdoor

* ```rating_date```: Date when the review was submitted

* ```company_name```: Name of the reviewed company

* ```review_pros```: Positive aspects mentioned in the review

* ```review_cons```: Negative aspects mentioned in the review

* ```rating_overall```: Overall rating given by the reviewer

* ```summary```: Summary overview of the review

* ```rating_work_life```: Rating for work-life balance

* ```rating_compensation_benefits```: Rating for compensation and benefits

* ```rating_culture_values```: Rating for company culture and values

* ```flags_business_outlook```: Flags related to business outlook

* ```employee_type```: Status of employment (e.g., former employee, current employee)

* ```flags_recommend_frend```: Flags related to recommending the company

* ```rating_senior_leadership```: Rating for senior leadership

* ```flags_ceo_approval```: Flags related to CEO approval



And a lot more.



This is a sample subset which is derived from the "Glassdoor Companies Reviews (public data)"

dataset which includes more than 21,860,000 companies.



Available dataset file formats: JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.



Dataset delivery type options: Email, API download, Webhook, Amazon S3, Google Cloud storage, Google Cloud PubSub, Microsoft Azure, Snowflake, SFTP.



Update frequency: Once, Daily, Weekly, Monthly, Quarterly, or Custom basis.



Data enrichment available as an addition to the data points extracted: Based on request.



[Get the full Glassdoor company reviews dataset](https://brightdata.com/products/datasets/glassdoor).



Additional Glassdoor datasets available:



*   Glassdoor companies overview information

*   Glassdoor full job listings information



![Glassdoor dataset visual](https://github.com/luminati-io/Glassdoor-dataset-samples/blob/main/glassdoor-datasets-image.PNG)



What are the Glassdoor datasets use cases?



1. Competitive analysis



Utilize firmographic data to monitor company growth, pinpoint key organizations and professionals, track employee transitions, and enhance competitive intelligence and analysis with greater efficiency.



2. Market trends & growth



Assess company growth and industry trends to support data-driven decisions. Hedge funds, VCs, and financial firms can significantly boost their investment analysis using the Glassdoor dataset.



3. B2B company data



Enhance your lead generation and sales intelligence by integrating high-quality company and employee data into your CRM, enriched with a comprehensive Glassdoor dataset.



Free access to web scraping tools and datasets for academic researchers and NGOs



The Bright Initiative offers access to Bright Data's [Web Scraper APIs](https://brightdata.com/products/web-scraper) and [ready-to-use datasets](https://brightdata.com/products/datasets) to leading academic faculties and researchers, NGOs and NPOs promoting various environmental and social causes. You can submit an application [here](https://brightinitiative.com).