Glassdoor datasets offer useful insights into job listings, employer reviews, and salaries, but they are not the exclusive source of labor-market or employer-brand data.
We review the four top providers of Glassdoor datasets: Bright Data, Coresignal, Oxylabs, and Actowiz. Our evaluation covers each provider’s dataset structure, extraction techniques, update schedules, delivery options, and pricing models.
Provider | Employee reviews | Job Listings coverage | Company profiles | Review Text | Starting price (mo) |
|---|---|---|---|---|---|
Company review datasets available | Extensive | ✅ | ✅ | $250 for 100K records | |
Job listings | Included in standard dataset | ✅ | ✅ | $1,000 | |
Coresignal | Review text & ratings | Extensive | ✅ | ✅ | $1,000 |
Actowiz | Custom depending on project | USA, UK, UAE (other regions on request) | ✅ | Available in custom projects | N/A |
Best Glassdoor data providers
Bright Data offers several ways to access Glassdoor data: pre-built datasets, a dedicated Scraper API, no-code collection via Scraper Studio, and historical access through its Web Archive. Its job-data stack supports AI-ready filtering, broad integration support, and MCP compatibility for automated workflows. The datasets cover company reviews, job listings, and company overview information, and can be downloaded in JSON, CSV, or Parquet, with customizable filters, update schedules, and delivery formats.
There are two primary access routes. Pre-made datasets bundle company overviews, job listings, and reviews. The Scraper API provides ready-made Glassdoor templates for real-time collection with adjustable limits and configurable scrapers.
Pricing:
Bright Data also maintains a public GitHub sample repository for Glassdoor data, including a sample of more than 1,000 company reviews, which gives prospective buyers a way to inspect the data structure before purchasing.
Pricing is based on the number of records, with rates up to $0.0025 per record and a minimum order of $250. For complete dataset snapshots, subscription pricing varies by delivery frequency.
Oxylabs provides access to Glassdoor data through large-scale datasets rather than per-record API credits. The company offers two major dataset products: standard job posting datasets and custom datasets. Its current Glassdoor coverage includes employee reviews, salary ranges, and job openings.
It includes job titles, company information, vacancies, locations, salaries, and related job-market data points. Delivery is available in CSV, JSON, or XLSX formats, and can be sent directly to Amazon S3, Google Cloud, Azure, or another storage endpoint. Refresh frequency can be monthly or quarterly, and a one-time purchase option is also available.
Pricing:
The starting price for the standard dataset is $1,000 per month. For customers needing more advanced control, Oxylabs offers custom datasets. E-fresh frequency is far more flexible: customers can choose a daily, weekly, monthly, quarterly, or fully custom cadence.
Unlike some competitors, Oxylabs does not publicly disclose a free trial for datasets.
Coresignal provides Glassdoor data on employer profiles, employee sentiment, compensation trends, and labor market dynamics, organized into four categories: companies, employee reviews, jobs, and salaries. Each category is updated on a recurring schedule, with jobs refreshed continuously through the month, and Coresignal’s 2026 release notes added lifecycle fields (such as a “deleted” flag) that improve freshness and record-state tracking. Data is delivered in JSON or CSV.
Coresignal offers two access routes: bulk Datasets sold via custom contract, and credit-based Database APIs for real-time retrieval. Accounts use two credit types: Search credits (consumed per query, at one or two credits each) and Collect credits (one per profile retrieved).
Pricing:
The Glassdoor dataset product starts at roughly $1,000 via custom contract, which is the relevant figure for bulk buyers; the self-serve API starts at $49 per month. New accounts get a 7-day trial with 200 Collect and 400 Search credits. At the Starter API tier, per-record costs range from $ 0.133 to $ 0.196, decreasing at higher volumes.
Actowiz offers Glassdoor job and recruitment data as a custom dataset service. Its current recruiting-data coverage spans multiple markets, including the USA, UK, UAE, India, Germany, Singapore, Italy, Japan, Australia, and additional countries, with delivery available in formats such as Excel, CSV, JSON, and cloud destinations including Google Cloud, AWS S3, Azure, and SFTP. Its projects can include job listings, company data, and reviews, depending on scope.
Pricing:
Pricing details are not disclosed transparently and are contingent on the project’s complexity and the volume of data involved.
Glassdoor data alternatives and real-time data options
Depending on your use case, whether it’s historical analysis, large-scale research, or real-time competitive monitoring, you might want to consider using Glassdoor scraper APIs.
Scraper APIs can extract job listings, salary estimates, reviews, and company details in real time, but the best options now differ more clearly by workflow. Bright Data’s current Glassdoor scraping stack supports API, no-code, and fully managed collection across 8 dedicated scrapers, while Oxylabs has added self-healing parser presets that automatically adjust extraction logic as target pages change. As always, teams should still review technical and compliance considerations before deployment.
What is Glassdoor data?
Glassdoor data consists of publicly accessible information from the Glassdoor platform, including job listings, company profiles, employee reviews, ratings, salary reports, and workplace insights from users.
Cite this research
Pick the format that matches where you're publishing. Pasting the link version into your CMS preserves the backlink.
@misc{karatas2026,
author = {Karatas, Gulbahar},
title = {{Best Glassdoor Datasets in 2026}},
year = {2026},
month = jul,
howpublished = {\url{https://aimultiple.com/glassdoor-datasets}},
note = {AIMultiple. Retrieved July 18, 2026}
}
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