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GlassDoor Jobs, Reviews, Interviews & Salaries

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GlassDoor Jobs, Reviews, Interviews & Salaries

GlassDoor Jobs, Reviews, Interviews & Salaries

Extract realtime comprehensive job listings, employee reviews,salaries, and interview experiences from GlassDoor - the world's largest workplace intelligence platform.

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from $3.00 / 1,000 results

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devcake

devcake

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23 days ago

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๐Ÿ’ผ GlassDoor Scraper - Jobs, Reviews, Salaries & Interview Questions

Extract GlassDoor data at scale: job listings, employee salaries, company reviews, ratings, and real interview questions. The most comprehensive GlassDoor crawler for recruitment intelligence, salary benchmarking, compensation analysis, and employer research. Now supports 15+ international GlassDoor domains with multi-language extraction!


๐ŸŽฏ What It Does

This GlassDoor data extraction tool scrapes comprehensive workplace intelligence from the world's largest job and company review platform (glassdoor.com). Perfect for salary research, job market analysis, employer branding analysis, and competitive intelligence gathering.

Four Powerful Scraping Modes:

  • ๐Ÿ” Jobs - Extract job listings with salary ranges, company ratings, benefits, and requirements
  • ๐Ÿ’ฐ Salaries - Scrape detailed salary data with base pay, bonuses, and percentile distributions by company and job title
  • โญ Reviews - Scrape employee reviews with pros, cons, culture ratings, and management feedback
  • ๐Ÿ’ฌ Interviews - Get real interview questions, difficulty ratings, and candidate experiences

Unique Features:

  • ๐Ÿ”— URL-Based Scraping - Paste any GlassDoor employer URL and auto-detect employer ID and language
  • ๐ŸŒ Multi-Language Support - Extract reviews and interviews in original language from 15+ GlassDoor domains (France, Germany, Spain, UK, and more)
  • โšก Unified Workflow - Run in "All" mode to automatically extract employer IDs from job listings and fetch their reviews and interviews
  • ๐Ÿ“Š Comprehensive Salary Data - Get base pay, total compensation, bonus structures, and salary percentiles for informed salary negotiations

๐Ÿ‘ฅ Who It's For

  • ๐Ÿค Recruiters & HR Teams - Research companies, salary benchmarks, and interview processes for candidate preparation
  • ๐Ÿ’ผ Job Seekers - Research salaries, prepare for interviews with real questions, and get insider company insights before applying
  • ๐Ÿ’ต Salary Researchers & Compensation Analysts - Extract salary data across companies and roles for compensation benchmarking and market analysis
  • ๐ŸŽ“ Career Coaches - Provide data-driven advice on companies, roles, and compensation packages
  • ๐Ÿ“ˆ Market Researchers - Track hiring trends, workplace sentiment, and employer branding across industries
  • ๐Ÿข Business Intelligence Teams - Monitor competitor benefits, culture ratings, salary trends, and hiring patterns

๐Ÿ’ก Use Cases

๐Ÿ’ฐ Salary Research & Compensation Benchmarking

Extract detailed salary data with percentile distributions for informed compensation decisions. Perfect for HR teams setting competitive pay rates, recruiters benchmarking offers, or job seekers negotiating salaries with data-backed insights.

Analyze salary trends across companies, locations, and job titles. Essential for understanding market rates, identifying high-paying employers, and tracking compensation changes over time.

๐ŸŽฏ Interview Preparation & Coaching

Access real interview questions and experiences by company and job title. Help candidates prepare with actual questions from successful applicants.

๐Ÿ“ˆ Employer Brand Monitoring & Analysis

Monitor company reviews and ratings to understand employee sentiment. Track changes in culture scores and identify workplace trends over time.

๐Ÿ” Competitive Intelligence & Market Research

Compare benefits, culture ratings, salary ranges, and hiring patterns across competitors. Essential for strategic HR planning and talent acquisition strategy.

๐Ÿ“‹ Recruitment & Talent Acquisition Research

Research potential employers with comprehensive data on ratings, reviews, salaries, and interview processes. Make informed decisions about company culture fit and compensation expectations.

๐ŸŒ International Market Intelligence

Scrape reviews from local GlassDoor domains to understand employee sentiment in specific countries. Get insights in French, German, Spanish, and more.


โšก Quick Start

  1. ๐Ÿ”ง Choose scraping mode - Jobs, Salaries, Reviews, Interviews, or All combined
  2. ๐Ÿ“ Configure your search - Add job keywords, employer URLs, or GlassDoor employer IDs
  3. ๐Ÿš€ Run the scraper - Get comprehensive workplace data in minutes

โš™๏ธ Input Parameters

ParameterTypeRequiredDescription
scrapeTypestringNoWhat to scrape: jobs, salaries, reviews, interviews, or all
searchQueriesarrayNoJob search keywords (for jobs/salaries mode)
employerUrlsarrayNoGlassDoor employer URLs - language auto-detected from domain
employerIdsarrayNoGlassDoor employer IDs (alternative to URLs)
locationstringNoLocation filter for jobs/salaries
maxPagesintegerNoMax pages per job/salary query (1-50)
countryIdstringNoUS, UK, Canada, Australia, India, Germany, France, Spain, Netherlands
reviewPagesintegerNoMax review pages per employer (1-100)
interviewPagesintegerNoMax interview pages per employer (1-100)
minSalaryintegerNoMinimum salary filter (USD)
salarySortstringNoSort salaries by: popular, highest_pay, most_reports
remoteOkbooleanNoFilter for remote jobs only
easyApplyOnlybooleanNoFilter for Easy Apply jobs only
proxyConfigurationobjectNoProxy settings (residential recommended)

๐Ÿ“ Example

{
"scrapeType": "jobs",
"searchQueries": ["software engineer", "data scientist"],
"location": "San Francisco",
"maxPages": 3,
"remoteOk": true
}

๐Ÿ’ผ Output - Job Listing

{
"dataType": "job",
"jobId": "1009234567890",
"jobTitle": "Senior Software Engineer",
"employerName": "Google",
"employerId": 9079,
"locationName": "Mountain View, CA",
"payRange": "$150K - $250K",
"salaryMin": 150000,
"salaryMax": 250000,
"overallRating": 4.4,
"isRemote": true,
"workLifeBalanceRating": 4.2,
"cultureAndValuesRating": 4.3
}
{
"scrapeType": "salaries",
"searchQueries": ["Senior Python Developer", "Software Engineer"],
"location": "New York",
"maxPages": 5,
"salarySort": "highest_pay"
}

๐Ÿ’ต Output - Salary Data

{
"dataType": "salary",
"employerName": "Google",
"employerId": 9079,
"jobTitle": "Senior Python Developer",
"location": "New York, NY",
"totalPayMin": 180000,
"totalPayMax": 320000,
"totalPayMean": 245000,
"basePayMin": 150000,
"basePayMax": 260000,
"basePayMean": 200000,
"additionalPayMin": 30000,
"additionalPayMax": 60000,
"payPercentiles": {
"p10": 175000,
"p25": 200000,
"p50": 245000,
"p75": 290000,
"p90": 315000
},
"payPeriod": "ANNUAL",
"salaryCount": 127,
"currency": "USD",
"employerRating": 4.4
}

๐ŸŒ Input - Reviews from French GlassDoor

{
"scrapeType": "reviews",
"employerUrls": [
"https://www.glassdoor.fr/Avis/Azae-Avis-E1360610.htm",
"https://www.glassdoor.de/Bewertungen/Google-Bewertungen-E9079.htm"
],
"reviewPages": 5
}

โญ Output - French Review

{
"dataType": "review",
"reviewId": "123456789",
"employerName": "Azae",
"employerId": 1360610,
"summary": "Excellente entreprise avec une belle culture",
"pros": "Bonne ambiance, equipe sympa, management bienveillant",
"cons": "Quelques defis d'organisation",
"overallRating": 4,
"reviewLanguage": "fra",
"sourceDomain": "glassdoor.fr"
}

๐ŸŽฏ Input - Reviews & Interviews (US)

{
"scrapeType": "all",
"employerIds": ["9079"],
"reviewPages": 5,
"interviewPages": 5
}

๐Ÿ’ฌ Output - Review

{
"dataType": "review",
"reviewId": "123456789",
"employerName": "Google",
"summary": "Great place to work with amazing perks",
"pros": "Great benefits, smart colleagues, good work-life balance",
"cons": "Can be competitive, some teams have long hours",
"overallRating": 5,
"jobTitle": "Software Engineer",
"isCurrentEmployee": true,
"reviewLanguage": "eng",
"sourceDomain": "glassdoor.com"
}

๐Ÿ—ฃ๏ธ Output - Interview

{
"dataType": "interview",
"interviewId": "987654321",
"employerName": "Google",
"jobTitle": "Software Engineer",
"difficulty": "Difficult",
"outcome": "Received Offer",
"experience": "Positive Experience",
"interviewLanguage": "eng",
"sourceDomain": "glassdoor.com",
"questions": [
{"question": "Design a system for real-time notifications"},
{"question": "Explain your approach to debugging complex issues"}
]
}

๐ŸŒ Supported GlassDoor Domains

The scraper supports 15+ GlassDoor domains worldwide with automatic language detection:

DomainCountryLanguageTLD ID
๐Ÿ‡บ๐Ÿ‡ธ glassdoor.comUnited StatesEnglish1
๐Ÿ‡ซ๐Ÿ‡ท glassdoor.frFranceFrench16
๐Ÿ‡ฉ๐Ÿ‡ช glassdoor.deGermanyGerman5
๐Ÿ‡ช๐Ÿ‡ธ glassdoor.esSpainSpanish10
๐Ÿ‡ฌ๐Ÿ‡ง glassdoor.co.ukUnited KingdomEnglish3
๐Ÿ‡ฎ๐Ÿ‡ณ glassdoor.inIndiaEnglish4
๐Ÿ‡ฆ๐Ÿ‡บ glassdoor.com.auAustraliaEnglish6
๐Ÿ‡จ๐Ÿ‡ฆ glassdoor.caCanadaEnglish2
๐Ÿ‡ณ๐Ÿ‡ฑ glassdoor.nlNetherlandsDutch11
๐Ÿ‡ฎ๐Ÿ‡ช glassdoor.ieIrelandEnglish12
๐Ÿ‡ง๐Ÿ‡ช glassdoor.beBelgiumFrench17
๐Ÿ‡จ๐Ÿ‡ญ glassdoor.chSwitzerlandGerman18
๐Ÿ‡ฆ๐Ÿ‡น glassdoor.atAustriaGerman19
๐Ÿ‡ต๐Ÿ‡น glassdoor.ptPortugalPortuguese20
๐Ÿ‡ฎ๐Ÿ‡น glassdoor.itItalyItalian21