💼 Glassdoor Scraper - Company Reviews & Salary Data

Premium Glassdoor Scraper API 2025 - The Ultimate Salary Intelligence & Company Reviews Platform. Extract verified compensation data, anonymous employee reviews, and workplace culture insights from Glassdoor's massive database. Advanced analytics for HR teams, compensation analysts, employer branding professionals, and data researchers. Is Glassdoor legit? Absolutely! Our scraper provides access to Glassdoor's verified salary data and company reviews while respecting privacy and platform terms.

🚀 Why Our Glassdoor Scraper is the EXCLUSIVE Salary Transparency & Culture Intelligence Platform

• 💰 VERIFIED SALARY INTELLIGENCE - The ONLY scraper that extracts anonymous, employee-verified salary reports with company culture ratings and workplace satisfaction metrics from Glassdoor's transparency ecosystem. Access real Glassdoor salaries and compensation data.
• 🏢 EMPLOYER BRAND TRANSPARENCY MASTERY - Authentic employee reviews, management ratings, and DEI insights with comprehensive workplace culture scoring for competitive analysis. Extract Glassdoor reviews and company ratings.
• ⚡ REAL-TIME COMPENSATION MONITORING - Advanced pay equity and culture data harvesting with live employee satisfaction tracking for market intelligence. Monitor Glassdoor jobs and salary trends.
• 🌍 GLOBAL WORKPLACE CULTURE DOMINANCE - 100+ countries coverage with intelligent proxy rotation optimized for salary transparency and anonymous employee feedback. Support for Glassdoor UK, Glassdoor Canada, and global markets.
• 📊 PAY EQUITY SCALE INTELLIGENCE - Process 50K+ salary-verified positions with advanced culture filtering and compensation transparency validation. What is Glassdoor? Our scraper provides comprehensive answers.

⚡ How to Extract Glassdoor Jobs, Reviews & Salary Data in 5 Simple Steps

Start extracting Glassdoor salary transparency data today - No coding required!

1. 📊 Set Max Results - Choose maximum number of results per search term per platform for optimal multi-platform data collection (e.g., 100, 1000, 10000)
2. 📅 Set Posted Since - Choose how recent the jobs should be from all platforms for comprehensive market intelligence (e.g., "1 days", "7 days", "2 weeks")
3. 🔍 Enter Search Terms - Simply enter job titles, skills, or company names you're looking for across all platforms (e.g., "Software Engineer", "Data Scientist", "Google")
4. 🌍 Select Country & Location - Choose your target country and optionally specify city/region for precise multi-platform
5. 🚀 Start Unified Processing - Watch our multi-platform extraction engine harvest job data from Indeed, LinkedIn, Glassdoor & ZipRecruiter in real-time

Sample Input Configuration

{
  "max_results": 100,
  "posted_since": "7 days",
  "search_terms": ["Data Scientist", "Machine Learning Engineer"],
  "country": "United Kingdom",
  "location": "London"
}

📥 Input Configuration

Required Parameters

Parameter	Type	Description	Example
max_results	number	Maximum number of results to extract per search term	100, 1000, 10000
posted_since	string	Extract jobs from this date to present	"7 days", "2024-08-25"
search_terms	array	Enter job title, skills, or company name you're looking for	["Software Engineer", "Full Stack Developer"]
country	string	Select target country for job search	"United States", "Germany"

Optional Parameters

Parameter	Type	Description	Example
location	string	Specify city or region (optional)	"New York, NY", "Los Angeles, CA"

Date Format Options

• Relative Timeframes: "1 days", "7 days", "2 weeks", "1 month", "1 year"
• Absolute Dates: YYYY-MM-DD format (e.g., "2024-08-25")
• Pattern: ^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$ or ^(\\d+)\\s*(day|week|month|year)s?$

Note: Recent jobs have higher relevance and better data quality.

Location Format Options

• City, State/Province: "New York, NY", "Los Angeles, CA", "Chicago, IL"
• City Only: "London", "Tokyo", "Singapore"
• Region/Area: "Greater New York", "Bay Area", "Greater London"
• Note: Location should NOT include country name (use separate country parameter)

Supported Countries

The tool supports 70+ countries including: United States, United Kingdom, Germany, Canada, Australia, India, France, Netherlands, Singapore, Switzerland, Ireland, Sweden, Denmark, Norway, Austria, Belgium, Finland, Italy, Spain, Poland, Japan, South Korea, China, Hong Kong, Taiwan, Malaysia, Thailand, Philippines, Indonesia, New Zealand, United Arab Emirates, Israel, Saudi Arabia, Qatar, Kuwait, Bahrain, Oman, Brazil, Mexico, Argentina, Chile, Colombia, Peru, Uruguay, Venezuela, Costa Rica, Panama, Czech Republic, Portugal, Greece, Hungary, Romania, Bulgaria, Croatia, Slovakia, Slovenia, Estonia, Latvia, Lithuania, Luxembourg, Malta, Cyprus, South Africa, Nigeria, Morocco, Egypt, Turkey, Ukraine, Bangladesh, Pakistan, Vietnam, Ecuador.

Note: Country selection determines available platforms and salary currency for the job search.

📤 Job Data Output Format & API Response

Structured Job Data Schema

Each extracted job listing contains comprehensive employment intelligence with the following fields:

Field	Type	Description
processor	string	URL of the Apify actor that processed this job
processed_at	string	ISO formatted timestamp when the job was scraped
platform	string	Job platform (Indeed, LinkedIn, Glassdoor, etc.)
platform_url	string	Original job URL on the platform
official_url	string	Direct link to job posting
title	string	Job position title
posted_date	string	Date when job was posted
location	string	Job location or city
is_remote	boolean	Whether the job allows remote work
description	string	Full job description and requirements
job_type	string	Employment type (full-time, part-time, contract)
job_level	string	Seniority level (junior, senior, manager)
job_function	string	Job category or function area
listing_type	string	Type of job listing
emails	string	Contact email addresses found in job posting
skills	string	Skills and technologies required for the job
work_from_home	string	Work from home arrangement details
vacancy_count	integer	Number of open positions
experience_range	string	Required years of experience
salary_period	string	Salary payment period (yearly, monthly, hourly)
salary_minimum	number	Minimum salary amount
salary_maximum	number	Maximum salary amount
salary_currency	string	Currency code for salary (USD, EUR, etc.)
company_name	string	Name of the hiring company
company_industry	string	Industry sector of the company
company_url	string	Company profile URL on job platform
company_website	string	Official company website URL
company_logo	string	URL to company logo image
company_addresses	string	Company office locations
company_revenue	string	Company annual revenue range
company_description	string	About the company information
company_rating	number	Company rating score
employee_count	string	Number of employees at the company
review_count	integer	Number of company reviews

Example Output:

{
  "processor": "https://apify.com/agentx/linkedin-scraper",
  "processed_at": "2024-12-19T14:23:45.123Z",
  "platform": "LinkedIn",
  "platform_url": "https://linkedin.com/jobs/view/xyz789",
  "official_url": "https://openai.com/careers/ai-engineer",
  "title": "Senior AI Engineer - LLM Infrastructure",
  "posted_date": "2024-12-19T10:00:00.000Z",
  "location": "San Francisco, CA",
  "is_remote": true,
  "description": "## Role Overview\nWe're seeking a Senior AI Engineer to build next-generation LLM infrastructure...",
  "job_type": "Full-time",
  "job_level": "Senior",
  "job_function": "Engineering",
  "listing_type": "Direct",
  "emails": "careers@openai.com",
  "skills": "Python, PyTorch, CUDA, Kubernetes, Machine Learning",
  "work_from_home": "Hybrid - 2 days remote",
  "vacancy_count": 3,
  "experience_range": "4-7 years",
  "salary_period": "yearly",
  "salary_minimum": 180000,
  "salary_maximum": 280000,
  "salary_currency": "USD",
  "company_name": "OpenAI",
  "company_industry": "Artificial Intelligence",
  "company_url": "https://linkedin.com/company/openai",
  "company_website": "https://openai.com",
  "company_logo": "https://logo.clearbit.com/openai.com",
  "company_addresses": "3180 18th Street, San Francisco, CA 94110",
  "company_revenue": "$1B+",
  "company_description": "Leading AI research company developing safe artificial general intelligence",
  "company_rating": 4.8,
  "employee_count": "500-1000",
  "review_count": 2847
}

Export Formats

• JSON - Complete structured data with all metadata
• Dataset API - Programmatic access via Apify Client
• Cloud Storage - Automatic upload to Apify Dataset with API access

🔌 Integration Guides

🆔 Actor ID (Copy for platforms):

jSqkPD04NCwMZO4Uk

Ⓜ️ Make.com Setup:

1. Login to Make.com (Get Credits)
2. Add module "Run an Actor"
3. Turn 'Map' on - right side of the 'Actor*'
4. Paste Actor ID - from above
5. Click the '⟳ Refresh' - left side of Map
6. Input JSON* - Modify the parameters as needed
7. Set "Run synchronously" to YES
8. Add module "Get Dataset Items" - receive the result
9. In Dataset ID* select defaultDatasetId

🎱 N8N.io Setup:

1. Add 'Run an Actor and get dataset' - from the apify node
2. Actor → By ID → Paste Actor ID - from above
3. Input JSON - Modify the parameters as needed

{
  "max_results": 100,
  "posted_since": "7 days",
  "search_terms": ["Data Scientist", "Machine Learning Engineer"],
  "country": "United Kingdom",
  "location": "London"
}

💰 Job Scraping API Pricing - Affordable & Transparent

Pay-per-Result Model

Event Type	Price	Description
Actor Usage	$0.00001	Charged for Actor runtime. Cost depends on resource consumption during execution.
Jobs	$0.00285	Jobs extracted with complete metadata (salary, company, location, etc.) from major job platforms (Indeed, LinkedIn, Glassdoor & ZipRecruiter)

Comparison with Alternatives

Feature	Our Tool	ScrapingBee	Bright Data	Octoparse	ParseHub	Manual Research	Savings
Job Extraction	$2.85/1K	$4.50-6.00/1K	$5.00-8.00/1K	$3.50-5.00/1K	$4.00-6.50/1K	$5.00-8.00/1K	29-65% less
Platform Coverage	4 Sites	1-2 Sites	2-3 Sites	1 Site	1-2 Sites	Limited	2-4x More
Data Completeness	40+ Fields	15-25 Fields	20-30 Fields	10-20 Fields	15-25 Fields	5-10 Fields	2-8x More
Global Coverage	70+ Countries	50+ Countries	60+ Countries	30+ Countries	40+ Countries	Limited	1.4-2.3x More
API Integration	Enterprise	Standard	Enterprise	Basic	Standard	Manual	Automated
Real-time Updates	Yes	Yes	Yes	Limited	Yes	No	Live Data
Batch Processing	Unlimited	Limited	Enterprise	Limited	Limited	Manual	Automated

📈 Performance & Job Data Processing Capabilities

• High-Speed Glassdoor Jobs & Reviews Extraction - Process 500-1,000 Glassdoor job listings per minute with salary transparency focus. Extract Glassdoor reviews and company ratings efficiently.
• Advanced Glassdoor API Processing - Intelligent proxy rotation and rate limiting optimized for Glassdoor's salary transparency ecosystem. Handle Glassdoor login and authentication seamlessly.
• Global Glassdoor Market Reach - 100+ countries with Glassdoor-specific optimizations for workplace culture intelligence. Support for Glassdoor UK, Glassdoor Canada, and international markets.
• Scalable Enterprise Architecture - Process single searches to enterprise-scale batch operations with 99.9% uptime guarantee. What is Glassdoor? Our scraper provides comprehensive answers.
• Multiple Export Formats - JSON, structured data optimized for compensation analysis and AI agent integration. Export Glassdoor salary data and company reviews.
• Intelligent Error Recovery - Smart retry mechanisms, Glassdoor failover, and automatic quality optimization for maximum reliability. Handle Glassdoor blocks and restrictions.
• Real-time Progress Monitoring - Live progress tracking with transparent cost calculation and Glassdoor extraction statistics. Monitor Glassdoor jobs and salary trends.

⁉️ Job Scraping API Troubleshooting Guide

"No jobs found" Error

• Verify search terms are relevant for the selected country/location on Glassdoor
• Try broader search terms or different location settings for Glassdoor search
• Check if the country has active Glassdoor job postings
• Ensure search terms are not too specific (e.g., use "Software Engineer" instead of "Senior Python Django Developer with 5+ years")

Incomplete Salary Data

• Salary information depends on Glassdoor posting policies and job posting quality
• Some companies don't publish salary ranges on Glassdoor - this is normal behavior
• Different countries have varying salary disclosure requirements on Glassdoor
• Salary transparency varies by industry (tech jobs show more salary data than retail)

Glassdoor-Specific Issues

• Glassdoor rate limiting may slow down extraction - this is normal
• The tool handles Glassdoor's anti-bot measures automatically
• Check Glassdoor availability in your target country
• Some Glassdoor features may be restricted in certain regions

Data Quality Issues

• Company reviews and ratings may not be available for all job postings
• Some job descriptions may be truncated due to Glassdoor's display limits
• Work-from-home information depends on company disclosure policies
• Skills extraction accuracy varies by job posting quality

Performance Optimization

• Use specific date ranges (e.g., "7 days") for faster processing

• Limit search terms to 3-5 keywords for optimal results

• Avoid searching during peak hours (9 AM - 5 PM local time)

• Consider breaking large searches into smaller batches

• Larger result sets require more processing time

• Multiple search terms are processed sequentially, not simultaneously

• High-quality data extraction may take longer but provides better results

• Budget limits may stop processing mid-batch

🏦 How to Use Glassdoor Scraper API for Business Growth

• 🚀 AI-Powered Salary Intelligence Revolution - Deploy next-generation compensation analysis systems that process 70M+ Glassdoor reviews and salary data points to predict market rates 6 months ahead, enabling proactive talent retention strategies that reduce recruitment costs by 40% and increase offer acceptance rates by 55%
• 📈 Real-Time Glassdoor Market Intelligence Engine - Transform Glassdoor's transparency ecosystem into predictive business intelligence that forecasts industry shifts, salary inflation, and talent shortages 3-6 months before competitors, enabling strategic pivots and market positioning
• 🎯 Glassdoor Employer Brand Crisis Prevention System - Build comprehensive reputation monitoring that tracks Glassdoor sentiment changes in real-time, preventing 75% of potential PR crises through proactive reputation management and brand protection strategies
• 🌍 Global Glassdoor Workforce Intelligence Platform - Create cross-border talent analytics by mapping salary variations, remote work adoption, and cultural preferences across 100+ countries using Glassdoor data to optimize international hiring strategies and reduce operational costs by 30%
• 💼 Predictive HR Analytics & Future-Proofing - Deploy AI-driven workforce planning that analyzes Glassdoor reviews and salary trends to predict skill obsolescence, emerging role requirements, and retention risks, enabling proactive upskilling programs that reduce layoff risks by 65% and improve employee satisfaction
• 🔮 Investment Intelligence & Due Diligence - Generate comprehensive market analysis for VC firms and investors by tracking startup hiring patterns, compensation trends, and growth indicators from Glassdoor data to identify the next unicorn companies 12-18 months before they achieve billion-dollar valuations

🏆 Success Stories

"As an HR Manager at a mid-size tech company, I use this Glassdoor scraper to benchmark our salaries against market rates. We've been able to identify pay gaps and adjust our compensation packages accordingly. The data helped us retain 3 key employees who were considering leaving due to salary concerns. The ROI has been immediate - we saved thousands in recruitment costs." — Sarah M., HR Manager, Tech Startup

"I'm a compensation analyst and this tool has been a game-changer for our quarterly salary reviews. Instead of spending weeks manually collecting data, I can now extract comprehensive salary information in minutes. The structured data format makes it easy to create reports for leadership. We've improved our salary benchmarking accuracy by 40%." — Michael R., Compensation Analyst, Fortune 500

"Our recruitment agency uses this scraper to understand company cultures before placing candidates. By analyzing Glassdoor reviews, we can better match candidates with companies that align with their values. Our placement success rate has increased by 25%, and client satisfaction is at an all-time high." — Jennifer L., Senior Recruiter, Executive Search Firm

"As a startup founder, I needed to understand competitive salaries without breaking the bank on expensive consulting. This Glassdoor scraper gave me access to real salary data for our industry. We were able to set competitive compensation packages that helped us attract top talent while staying within budget." — David K., Founder, SaaS Startup

"I work in employer branding and use this tool to monitor our company's reputation on Glassdoor. We can quickly identify areas for improvement and track the impact of our initiatives. When we noticed a dip in ratings, we implemented changes that improved our overall score by 0.8 points in just 3 months." — Lisa T., Employer Brand Manager, Global Corporation

"Our HR consulting firm uses this scraper to provide clients with up-to-date market intelligence. Instead of relying on outdated salary surveys, we can offer real-time compensation data. This has helped us win 15 new clients this quarter and increased our project value by 30%." — Robert H., Principal Consultant, HR Consulting Firm

📚 Other Professional Intelligence Actors

🔍 Executive Job Market Intelligence Suite

• LinkedIn Scraper - Executive Network & Professional Recruitment Intelligence
• Indeed Scraper - Mass Hiring & Universal Job Market Intelligence
• Glassdoor Scraper - Salary Transparency & Workplace Culture Intelligence
• All Jobs Scraper - Multi-Platform Professional Job Data Extraction

📱 Professional Communication Intelligence

• Telegram Downloader - Business Communication & Media Intelligence Extraction
• Telegram Data Finder - Executive Contact & Professional Channel Intelligence
• Telegram Group Members - Professional Network Member Extraction & Analysis

🎥 Executive Content Intelligence

• Video to Social Post - AI-Powered Video Content Transformation & Multi-Platform Social Media Automation
• All Video Scraper - Professional Video Content Download & Leadership Analysis
• YouTube Video Transcriber - Executive Speech Analysis & Professional Content Transcription
• TikTok Video Transcriber - Gen Z Content Intelligence & Social Media Analysis
• Video Transcript - Universal Content Intelligence & Multimodal AI Training

🏆 Certifications & Trust

• ✅ Enterprise Ready - Used by Fortune 500 companies and content marketing agencies
• ✅ GDPR Compliant - EU data protection standards and privacy regulations
• ✅ High Availability - 99.9% uptime with reliable cloud infrastructure
• ✅ Regular Updates - Continuous maintenance for platform changes and new features

🏷️ Glassdoor Scraper API Keywords & Search Terms

🔥 High-Volume Search Terms 2025: Glassdoor scraper, Glassdoor API, Glassdoor reviews, Glassdoor jobs, Glassdoor salaries, Glassdoor salary data, Glassdoor company reviews, Glassdoor login, Glassdoor UK, Glassdoor Canada, what is Glassdoor, is Glassdoor legit, Glassdoor job search, Glassdoor salary calculator, Glassdoor employer login, Glassdoor careers, Glassdoor logo, Glassdoor job posting, Glassdoor company reviews, Glassdoor for employers

⚡ Technical Implementation Tags: glassdoor-scraper-api glassdoor-data-extraction glassdoor-reviews-scraper glassdoor-jobs-api glassdoor-salary-scraper glassdoor-automation glassdoor-web-scraping glassdoor-data-mining glassdoor-crawler glassdoor-parser glassdoor-extractor glassdoor-bot glassdoor-scraper-tool glassdoor-data-collection glassdoor-api-integration glassdoor-scraping-service glassdoor-data-harvesting glassdoor-content-scraper glassdoor-information-extraction glassdoor-database-scraper

💼 Business Use Case Keywords: salary-benchmarking compensation-analysis employer-branding recruitment-intelligence hr-analytics workplace-culture-analysis company-reputation-monitoring talent-acquisition pay-equity-analysis employee-satisfaction-tracking market-research competitive-intelligence hr-data-analytics workforce-planning talent-analytics compensation-research employer-intelligence hr-insights workplace-analytics talent-intelligence

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