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GLASSDOORReviews&Jobs&Interviews&Locations&Salary&Overview — Glassdoor | Lagic

Built For

Deep insights into company culture, compensation, and job market trends from Glassdoor.

Curated by Lagic·Verified working

Configure Agent

URLs to start with.

Choose which data to scrape (reviews or interviews or locations or salaries or jobs) for the links(s) you provided.

Only include reviews that contain at least one of the specified keywords. For now keywords are use only on 'Cons' property of the review.

Include company review stats in the output.

Include all possible reviews in the output from all available languages like: 'eng', 'fra', 'por', 'spa', 'ita', 'nld', 'deu'.

If checked, it will only scrape newly reviews compared to what has been scraped in previous runs. Please turn on or check 'Include posts' setting above in case you want this feature.

Sort reviews by criteria

Format should be YYYY-MM-DD, e.g., 2025-02-20

Results to deliver

400 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

4 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Detailed employee reviews (pros, cons, summary, ratings by category, date, job title, employment length).Aggregated company review statistics (overall ratings, sentiment by category).Interview experience details (difficulty, questions, candidate sentiment).Aggregated company interview statistics.Active job listings (title, description, location, estimated salary range, application URL).Specific salary data (min, median, max, currency, period) for various roles.
Sample Text...2026-04-0510097Value...https://...Value...
Sample Text...2026-04-0510096Value...https://...Value...
..................
Exports as:CSVXLSXJSON

Overview

Extract detailed company data from Glassdoor, including employee reviews (pros, cons, ratings), interview experiences, salary ranges, job listings, and company overview metrics to inform competitive analysis, recruitment strategies, or investment decisions.

# Glassdoor Company Data Extractor Understanding a company from the inside out is crucial for many business decisions. This tool provides a comprehensive view of any company listed on Glassdoor by extracting a wide array of public data points. Whether you're a recruiter seeking talent, a marketer analyzing brand perception, an investor researching potential ventures, or a job seeker preparing for an interview, this extractor delivers the detailed insights you need. ## What Data You Get You specify the company profile URLs, and then choose exactly what kind of data you want to retrieve. The tool can focus on: * **Employee Reviews**: Get the full text of "pros" and "cons," overall ratings, and specific scores for categories like career opportunities, compensation, culture, diversity, senior leadership, and work-life balance. You'll also see when reviews were posted, the reviewer's job title, and employment length. Need to track specific sentiment? Filter reviews to include only those mentioning certain keywords in the "cons" section. You can also retrieve aggregated review statistics for a broader view. * **Interview Experiences**: Understand the recruitment process with data on interview difficulty, specific questions asked, and the overall candidate experience. Aggregate interview statistics are also available. * **Job Listings**: Extract active job postings, including job titles, descriptions, locations, and direct application URLs. Gain insights into compensation with estimated salary ranges (min, median, max, percentiles) and pay periods where available. * **Salary Data**: Collect detailed salary information by job title and location, including minimum, median, and maximum reported salaries, currency, and pay period. This is invaluable for compensation benchmarking. * **Company Overview**: Access key company profile information such as the CEO's name, primary industry, company size, revenue, type, and year founded. * **Benefits and Culture**: Scrape data related to company benefits and reported culture aspects, helping you understand the overall employee value proposition. ## Tailor Your Data Collection The tool offers flexible options to ensure you get precisely the data you need. You can specify a maximum number of items (reviews, salaries, interviews, etc.) to scrape from each company URL. For reviews, interviews, and benefits data, you can choose to only collect entries newer than a specific date, allowing for focused analysis on recent trends. You can also opt for a "monitoring mode" to only retrieve newly posted reviews since your last run, perfect for ongoing tracking. Furthermore, you can sort reviews by relevance, date, or rating to prioritize your data. The tool also supports extracting data across multiple languages for a global perspective. By providing granular control over data selection and filtering, this extractor empowers you to conduct targeted research and gather actionable intelligence from Glassdoor.

Key Capabilities

  • Detailed employee reviews (pros, cons, summary, ratings by category, date, job title, employment length).
  • Aggregated company review statistics (overall ratings, sentiment by category).
  • Interview experience details (difficulty, questions, candidate sentiment).
  • Aggregated company interview statistics.
  • Active job listings (title, description, location, estimated salary range, application URL).
  • Specific salary data (min, median, max, currency, period) for various roles.
  • Company overview information (CEO, industry, size, revenue, type, year founded).
  • Benefits information and statistics.
  • Culture-related insights.
  • Competitive Intelligence: Analyze competitor employee sentiment, compensation structures, and hiring trends to identify strengths and weaknesses.
  • Recruitment Strategy: Understand candidate interview experiences and employee feedback on culture and benefits to refine hiring processes and employer branding.
  • Market Research: Gather salary benchmarks for specific roles and industries to inform compensation packages or career counseling.
  • Investment Due Diligence: Research company health, employee satisfaction, and leadership sentiment before making investment decisions.
  • Employer Branding Audits: Monitor public perception of your own company or clients by tracking review sentiment and trends over time.
  • Job Market Analysis: Extract active job listings and associated salary data to identify in-demand roles and compensation levels in target markets.
  • Academic or Industry Research: Collect large datasets of employee reviews or salary data for studies on labor market dynamics, organizational culture, or compensation fairness.

Field Dictionary

How To Run This Extractor

1

Provide the Glassdoor company profile URLs you want to investigate.

2

Select the specific data types you need, such as employee reviews, interview experiences, job listings, or salary data.

3

Optionally, refine your data collection by setting filters like keywords for reviews, a maximum number of items per URL, or a specific date for newer entries.

4

Run the tool to initiate the data extraction process from the specified Glassdoor pages.

5

Once completed, download your structured Glassdoor data in your preferred format.

Frequently Asked Questions

Do I need any coding skills to use this tool?
No, this tool requires no coding. You simply provide company URLs and select your desired data points.
What export formats are available for the extracted data?
How does this tool handle compliance with Glassdoor's terms of service?
Can I use this for client projects or agency work?
How reliable is the data and how often is it updated?
Can I schedule runs to get fresh data regularly?
How is the cost determined for using this tool?
Can I focus on specific keywords within reviews?
Is it possible to get only the newest reviews or interviews?
What if I need data from Glassdoor in multiple languages?
How does this tool differ from manually browsing Glassdoor?