Glassdoor Job Search

Extract comprehensive Glassdoor job data with salary insights and company intelligence.

Unlock exclusive metrics: crowd-sourced salary ranges, company ratings, employee reviews, and workplace culture insights. Get complete job descriptions, company profiles, and hiring intelligence—all in one unified dataset.

🤝 Support & Community

📧 Support: Contact Us 💬 Community: Telegram Group

🏆 Key Features

💰 Salary Intelligence

• 💵 Salary Ranges: Min/max compensation with currency and pay period (hourly/monthly/yearly)—Glassdoor's signature data.
• 📊 Compensation Transparency: Access crowd-sourced salary data that employees share anonymously.
• 💼 Pay Period Details: Understand whether salaries are hourly, monthly, or yearly for accurate benchmarking.
• 🌍 Multi-Currency Support: Salary data in local currencies across 60+ countries.

🏢 Company Intelligence

• ⭐ Company Ratings: Aggregate employee satisfaction scores (out of 5) that influence candidate decisions.
• 👥 Employee Headcount: Company size ranges to understand organizational scale.
• 💰 Revenue Data: Annual revenue brackets for company segmentation and market analysis.
• 📝 Company Profiles: Detailed company descriptions, industry sectors, and office locations.

📋 Comprehensive Job Data

• 📄 Full Descriptions: Complete job requirements, responsibilities, and qualifications in markdown format.
• 🏷️ Job Classification: Job type (full-time/part-time/contract), seniority level, and function area.
• 📍 Location Details: City, country, and remote work availability for each position.
• 🔗 Direct Links: Both Glassdoor listing URLs and direct company application links.

🌐 Global Coverage

• 🌍 60+ Countries: From US and UK to Germany, India, Singapore, and beyond.
• 🎯 Location Filtering: Target specific cities or regions within countries.
• 📅 Date Filtering: Find jobs posted within custom time periods (days, weeks, months, or specific dates).
• 🔍 Keyword Search: Search by job titles, skills, or company names.

💰 Pricing

Resource	Cost	Description
Actor Usage	$0.00001	Charged for Actor runtime. Cost depends on resource consumption during execution
Job Details	$0.00315	Charged for each job posting scraped. Includes complete metadata such as salary, company, and location. This is a flat fee per job.

Example Cost Calculation:

• Scraping "Software Engineer" + "Data Analyst" + "Product Manager" in New York
• 3 keywords × 100 jobs = 300 results → 300 × $0.00315 = $0.95 total

🌟 Why choose this Actor?

Built for HR professionals, recruiters, and market researchers, this Actor transforms Glassdoor job listings into structured, actionable data.

Feature	Glassdoor Job Search	Bright Data	Zyte	Octoparse
Pricing Model	✅ Pay per use	❌ Enterprise	❌ Enterprise	⚠️ Subscription
Data Depth	✅ 30+ fields	⚠️ 20-25 fields	⚠️ 20-25 fields	⚠️ 15-20 fields
Salary Data	✅ Included	⚠️ Limited	⚠️ Limited	❌ Not supported
Company Info	✅ Rich profiles	⚠️ Basic only	⚠️ Basic only	❌ Not supported
Setup Time	✅ Instant	❌ Complex setup	❌ Complex setup	⚠️ Template req.
Min. Cost	✅ $0.03	❌ $500+/month	❌ $500+/month	⚠️ $75/month

💻 Input Parameters

Parameter	Type	Required	Description
search_terms	string[]	✅ Yes	Job keywords to search for. Supports job titles, skills, or company names. Multiple terms will be searched separately
country	string	✅ Yes	Target country for job search. Choose from 60+ supported countries (e.g., "United States", "United Kingdom", "Germany")
location	string	❌ No	Specify city or region within the country (optional). Leave empty to search nationwide
posted_since	string	✅ Yes	Filter jobs posted within this period. Supports relative dates ("7 days", "2 weeks", "1 month") or absolute dates ("2024-12-01")
max_results	integer	✅ Yes	Maximum number of jobs to extract per search term. Minimum value is 10. Results are sorted by newest first

📝 Example Input

{
  "search_terms": ["Senior Data Scientist", "Machine Learning Engineer"],
  "country": "United States",
  "location": "San Francisco",
  "posted_since": "7 days",
  "max_results": 100
}

📤 Output Structure

Field	Type	Description
processor	string	URL of the Apify actor that processed this data
processed_at	string	ISO 8601 timestamp when the data was scraped
platform	string	Source platform (Glassdoor)
platform_url	string	Job URL on Glassdoor
official_url	string	Direct link to company's job posting
title	string	Job position title
posted_date	string	ISO 8601 timestamp when job was posted
location	string	Job location or city
is_remote	boolean	Whether the job allows remote work
description	string	Full job description in markdown format
job_type	string	Employment type (full-time, part-time, contract)
job_level	string	Seniority level (entry, mid, senior, executive)
job_function	string	Job category or function area
listing_type	string	Type of job listing (standard, featured, sponsored)
emails	string	Contact emails found in job posting
skills	string	Required skills and technologies
work_from_home	string	Work arrangement (remote, hybrid, on-site)
vacancy_count	integer	Number of open positions
experience_range	string	Required years of experience
salary_period	string	Payment period (yearly, monthly, hourly)
salary_minimum	number	Minimum salary amount
salary_maximum	number	Maximum salary amount
salary_currency	string	Currency code (USD, EUR, GBP, etc.)
company_name	string	Name of the hiring company
company_industry	string	Industry sector of the company
company_url	string	Company profile URL on Glassdoor
company_website	string	Official company website
company_logo	string	URL to company logo image
company_addresses	string	Company office locations
company_revenue	string	Annual revenue range
company_description	string	About the company
company_rating	number	Company rating score (out of 5)
employee_count	string	Number of employees
review_count	integer	Number of company reviews on Glassdoor

📤 Example Output

{
  "processor": "https://apify.com/cheapget/glassdoor-job-search?fpr=aiagentapi",
  "processed_at": "2025-12-31T14:15:00+00:00",
  "platform": "Glassdoor",
  "platform_url": "https://www.glassdoor.com/job-listing/senior-data-scientist-stripe-JL789456123",
  "official_url": "https://stripe.com/jobs/senior-data-scientist",
  "title": "Senior Data Scientist",
  "posted_date": "2025-12-29T00:00:00+00:00",
  "location": "San Francisco, CA",
  "is_remote": false,
  "description": "Join Stripe's Data Science team to build ML models that power global payments...\n\n## What you'll do\n- Build predictive models for fraud detection\n- Analyze payment patterns across 50+ countries\n- Partner with engineering to deploy models at scale",
  "job_type": "full-time",
  "job_level": "senior",
  "job_function": "Data Science",
  "listing_type": "standard",
  "emails": null,
  "skills": "Python, TensorFlow, SQL, Spark, A/B Testing",
  "work_from_home": "hybrid",
  "vacancy_count": 3,
  "experience_range": "5+ years",
  "salary_period": "yearly",
  "salary_minimum": 180000,
  "salary_maximum": 250000,
  "salary_currency": "USD",
  "company_name": "Stripe",
  "company_industry": "Financial Technology",
  "company_url": "https://www.glassdoor.com/Overview/Stripe-EI_IE671932",
  "company_website": "https://stripe.com",
  "company_logo": "https://media.glassdoor.com/sql/671932/stripe-logo.png",
  "company_addresses": "354 Oyster Point Blvd, South San Francisco, CA 94080",
  "company_revenue": "$1B - $10B",
  "company_description": "Stripe builds economic infrastructure for the internet, helping millions of businesses accept payments and manage operations online.",
  "company_rating": 4.3,
  "employee_count": "5000-10000",
  "review_count": 1892
}

🔌 Integrations

Seamlessly connect this actor to your existing pipelines via the Apify API.

Ⓜ️ Make.com Integration

Get Started with Make.com (1000 Free Credits) 🎁

┌────────────────────────────────────────────┐
│  Step 1: Configure Actor Module            │
│  ├─ Add Module: "Run an Actor"             │
│  ├─ Enable Map: Toggle ON                  │
│  ├─ Actor ID: OFdvsjf7TqVYuQPky            │
│  ├─ Refresh: Click Refresh button          │
│  └─ Input JSON: Add job search parameters  │
└────────────────────────────────────────────┘
         ↓
┌────────────────────────────────────────────┐
│  Step 2: Set Execution Mode                │
│  └─ Run synchronously: YES                 │
└────────────────────────────────────────────┘
         ↓
┌────────────────────────────────────────────┐
│  Step 3: Retrieve Results                  │
│  ├─ Add Module: "Get Dataset Items"        │
│  └─ Dataset ID: defaultDatasetId           │
└────────────────────────────────────────────┘

🎱 N8N.io Integration

Open Source Workflow Automation ⚡

┌────────────────────────────────────────────┐
│  Step 1: Add Apify Node                    │
│  ├─ Search: "Run an Actor and get dataset" │
│  └─ Category: Apify                        │
└────────────────────────────────────────────┘
         ↓
┌────────────────────────────────────────────┐
│  Step 2: Configure Actor                   │
│  ├─ Selection Mode: By ID                  │
│  ├─ Actor ID: OFdvsjf7TqVYuQPky            │
│  └─ Paste from Actor ID section above      │
└────────────────────────────────────────────┘
         ↓
┌────────────────────────────────────────────┐
│  Step 3: Set Input Parameters              │
│  └─ Modify Input JSON with search terms    │
└────────────────────────────────────────────┘

📚 API Documentation

• MCP API - Model Context Protocol integration
• Python API - Complete Python client documentation with examples
• JavaScript API - Node.js and browser integration guide

🏗️ Metadata for Developers (JSON-LD)

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "Glassdoor Job Search - Salary Intelligence & Company Insights",
  "alternateName": [
    "Glassdoor Job Scraper",
    "Glassdoor Data Extractor",
    "Glassdoor Salary Tool",
    "Job Market Intelligence"
  ],
  "applicationCategory": "DeveloperApplication",
  "applicationSubCategory": "Job Market Data Extraction",
  "operatingSystem": "Cloud",
  "offers": {
    "@type": "Offer",
    "price": "0.00",
    "priceCurrency": "USD",
    "priceValidUntil": "2099-12-31",
    "availability": "https://schema.org/InStock"
  },
  "description": "Extract comprehensive Glassdoor job data with salary insights and company intelligence. Includes salary ranges, company ratings, employee reviews, and complete job descriptions. Perfect for HR professionals, recruiters, and market researchers.",
  "featureList": [
    "30+ data points per job extraction",
    "Salary range intelligence with currency support",
    "Company ratings and employee headcount",
    "Complete job descriptions in markdown",
    "60+ countries coverage",
    "Date and location filtering",
    "Export to JSON, CSV, Excel formats",
    "API integration ready for automation"
  ],
  "keywords": "glassdoor scraper, glassdoor jobs api, glassdoor salary data, glassdoor company ratings, job market intelligence, salary benchmarking, compensation analysis, employer brand research, hiring trends, talent market data, job search automation, recruitment intelligence, hr analytics, workforce planning, competitive intelligence",
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.9",
    "ratingCount": "500",
    "bestRating": "5"
  },
  "author": {
    "@type": "Organization",
    "name": "cheapget",
    "url": "https://apify.com/cheapget"
  },
  "softwareVersion": "1.0",
  "datePublished": "2024-01-01",
  "dateModified": "2025-12-31"
}

🚀 Performance Tips

Optimize your extraction runs for speed, cost, and data quality with these best practices:

💰 Cost Optimization

• Test First: Start with max_results: 10 and a single search term before scaling up
• Monitor Costs: Check the "Usage" tab in Apify Console for real-time cost tracking. Each job costs $0.00315
• Narrow Search: Use specific job titles instead of broad keywords to reduce irrelevant results

⚡ Speed Optimization

• Fewer Keywords: Each search term creates a separate search. Use focused keywords for faster results
• Regional Focus: Specify a location to reduce results and speed up processing
• Recent Posts: Use shorter posted_since periods (e.g., "7 days") for faster results

🛡️ Reliability Best Practices

• Valid Country: Ensure the country name matches exactly (e.g., "United States", not "USA")
• Monitor Progress: Use Apify Console's live log to track scraping progress
• Retry Logic: The Actor automatically handles rate limiting and retries failed requests

📊 Data Quality Tips

• Salary Data: Not all jobs include salary info. Approximately 30-40% of jobs disclose salary ranges
• Fresh Data: Job postings change rapidly. Schedule daily runs for time-sensitive applications
• Remote Jobs: Filter by is_remote: true or check work_from_home field for remote opportunities

❓ FAQ

What content can I extract?

You can extract comprehensive job data including job titles, descriptions, salary ranges, company profiles, ratings, employee counts, and more from Glassdoor's public job listings.

How many jobs can I extract?

There's no hard limit, but we recommend starting with 10-100 jobs per search term for testing. Large extractions (500+) may take longer but are fully supported.

Why are some salary fields empty?

Not all job postings include salary information. Approximately 30-40% of jobs on Glassdoor disclose salary ranges. Use the salary_minimum field to filter jobs with disclosed compensation.

Can I search for remote jobs only?

Currently, the actor fetches all matching jobs. Filter the results by checking the is_remote field (boolean) or work_from_home field for remote/hybrid opportunities.

How long does a typical scrape take?

Runtime depends on the number of search terms and max_results setting. A typical run with 2-3 keywords and 100 results completes in 2-5 minutes.

Why do some job titles not match my search keywords?

This is expected behavior. Glassdoor uses its own search algorithm that considers job relevance, not just exact keyword matching. The platform may return jobs based on:

• Related job titles and synonyms (e.g., "Developer" may return "Engineer" roles)
• Skills mentioned in job descriptions
• Industry and category associations
• Location-based relevance

This is the same behavior you would see when searching directly on Glassdoor.

What output formats are available?

The Actor outputs data in JSON format by default. You can export results to CSV or Excel formats using Apify's dataset export features in the Console.

How accurate is the data?

All data is extracted directly from Glassdoor's public listings, ensuring 100% accuracy. Engagement metrics and company ratings reflect real-time values at the moment of extraction.

What countries are supported?

The Actor supports 60+ countries including United States, United Kingdom, Canada, Australia, Germany, India, France, Singapore, and many more. See the input schema for the complete list.

🏷️ Glassdoor Job Search

🔥 Search Terms: glassdoor scraper, glassdoor jobs api, glassdoor salary data, glassdoor company ratings, glassdoor job listings, salary transparency tool, employer ratings scraper, company intelligence data, job market analytics, compensation benchmarking, hiring trends analysis, talent market intelligence, recruitment automation, hr data extraction, workforce planning tool, competitive salary analysis, employer brand monitoring, job search automation, career data insights, glassdoor data extractor, salary comparison tool, company review scraper, job posting intelligence, employment market data, recruitment intelligence platform

💼 Use Case: salary-benchmarking compensation-analysis employer-brand-research company-ratings-monitoring talent-market-intelligence competitive-pay-analysis hr-analytics hiring-trend-analysis job-market-research recruitment-automation workforce-planning pay-equity-audit employer-comparison career-intelligence market-research business-intelligence data-driven-recruiting compensation-strategy talent-acquisition employment-analytics job-search-automation competitive-intelligence hiring-insights salary-transparency

⚖️ Legal & Compliance

This actor extracts publicly available data only. It does not bypass authentication, access private content, or violate platform terms of service. You are responsible for:

• Data Rights: Ensuring you have permission to collect and use the extracted data
• Privacy Compliance: Adhering to GDPR, CCPA, and other applicable privacy laws when processing data
• Platform Terms: Respecting the platform's terms of service and usage policies
• Ethical Use: Using extracted data responsibly and in compliance with applicable laws

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