🔍 GlassSeaker - Glassdoor Scraper

AI-optimized Glassdoor scraper for LLMs, agents, and MCP integrations. Extract jobs, company reviews, interview insights, and salary data from Glassdoor with semantic field names designed for artificial intelligence consumption. GlassSeaker delivers comprehensive job market intelligence from 20+ localized Glassdoor domains worldwide with lightning-fast speed and minimal cost.

Built specifically for AI agents and MCP (Model Context Protocol) workflows, this Actor provides clean, structured data optimized for LLMs and automated systems. Ultra-efficient and cost-effective: runs on just 512MB of memory while processing hundreds of concurrent requests, making it the perfect data source for AI-powered recruitment tools, market analysis, and intelligent job matching systems.

✨ What can Glassdoor Scraper do?

GlassSeaker is a comprehensive Glassdoor data extraction tool that supports multiple data types and advanced filtering:

Multi-Domain Support

• Scrape from 20+ localized Glassdoor domains worldwide
• Access region-specific content, job listings, and reviews in local languages
• Support for US, UK, Canada (English & French), Australia, Germany, France, Spain, Italy, Brazil, Argentina, Mexico, India, Singapore, Hong Kong, Netherlands, Belgium (Dutch & French), Switzerland (German & French), Austria, Ireland, and New Zealand

Job Search Capabilities

• Extract job listings with advanced filtering options
• Search by keywords, location, company, and industry
• Filter by salary range, posting date, job type, and seniority level
• Include only remote jobs or easy-apply positions
• Filter by employer rating and company size
• Search within specific radius from a location

Company Reviews Extraction

• Scrape detailed employee reviews for any company
• Filter by job function, employment type, and work-life topics
• Search reviews by text content or job title
• Filter by minimum review rating
• Support for multiple review languages
• Extract ratings for culture, management, compensation, career opportunities, and more
• Capture employer responses to reviews

Interview Insights Collection

• Extract interview experiences and questions asked
• Filter by job function and title
• Filter by interview outcome (accepted, declined, received offers)
• Get details on interview difficulty, duration, and application source
• Access candidate advice and negotiation descriptions

Salary Data Extraction

• Scrape aggregated salary data by job title and company from Glassdoor
• Extract salary breakdowns filtered by job department and pay period (hourly, monthly, annual, weekly)
• Capture comprehensive percentile data (10th, 25th, 50th, 75th, 90th) as displayed on Glassdoor
• Get separate base pay, total pay, and additional compensation figures
• Extract detailed compensation breakdowns including bonuses, stock options, profit sharing, commissions, and tips

Advanced Features

• Flexible employer identification (ID, URL, or search by name)
• Location-based filtering for all data types
• Configurable concurrency (200-1000 concurrent requests)
• Optional result limits to control costs
• Raw data preservation with cleaned, structured output
• CSV-friendly flat data structure
• AI-ready output: Field names and descriptions optimized for AI agents and LLM consumption
• MCP compatible: Perfect for Model Context Protocol integrations and AI-powered tools

Performance & Cost Optimization

• Runs efficiently on 512MB memory
• Supports up to 1000 concurrent requests for maximum speed
• No browser automation - direct API access for faster extraction
• Pay only for what you scrape with precise max_items control

💰 Pricing

Try for FREE, 2 days free

$25 per month - Subscription-based pricing with unlimited runs within your Apify platform limits. You only pay for the compute units consumed during execution, making it extremely cost-effective for both small and large-scale scraping operations.

How much will it cost to scrape Glassdoor?

This Actor is optimized for minimal resource consumption. It uses direct API calls instead of browser automation, making it significantly faster and cheaper than traditional web scraping solutions.

Typical costs / Costs optimization:

Apify Free Tier: You can scrape hundreds of records for free using Apify's free tier, which includes $5 worth of platform credits every month. Perfect for testing or small-scale data collection projects.

📥 Input

All input fields are designed with clear, descriptive names and comprehensive descriptions optimized for both human users and AI agents. This makes GlassSeaker perfect for MCP (Model Context Protocol) integrations, allowing artificial intelligence systems to easily understand and configure scraping parameters.

Global Configuration

Field	Type	Required	Description
🌍 Base URL	string	No	Glassdoor domain URL for target region. Supports 20+ localized domains worldwide (glassdoor.com, glassdoor.co.uk, glassdoor.de, etc.). Default: https://www.glassdoor.com
🎯 Action	string	Yes	Type of data to extract: SEARCH_JOBS, SEARCH_EMPLOYER_REVIEWS, SEARCH_EMPLOYER_INTERVIEWS, or SEARCH_EMPLOYER_SALARIES
🏢 Employer Filter	string	Conditional	Company identifier: Glassdoor company ID (e.g., 9079), full URL, or company name (e.g., Google). Required for reviews/interviews/salaries actions. Optional for job search.
📍 Location Filter	string	No	Geographic filter: city name, state, or country (e.g., New York, NY, London, Paris). Applies to all action types.
📈 Max Items	integer	No	Maximum number of items to scrape. Set to 0 or leave empty for unlimited results. Default: 1000

🌍 Supported Domains:

• 🌎 Worldwide (https://glassdoor.com) - Default, US-focused
• 🇦🇷 Argentina (https://glassdoor.com.ar)
• 🇦🇺 Australia (https://glassdoor.com.au)
• 🇧🇪 Belgium (Nederlands/Français) (https://nl.glassdoor.be / https://fr.glassdoor.be)
• 🇧🇷 Brazil (https://glassdoor.com.br)
• 🇨🇦 Canada (English/Français) (https://glassdoor.ca / https://fr.glassdoor.ca)
• 🇩🇪 Germany (https://glassdoor.de)
• 🇪🇸 Spain (https://glassdoor.es)
• 🇫🇷 France (https://glassdoor.fr)
• 🇭🇰 Hong Kong (https://glassdoor.com.hk)
• 🇮🇳 India (https://glassdoor.co.in)
• 🇮🇪 Ireland (https://glassdoor.ie)
• 🇮🇹 Italy (https://glassdoor.it)
• 🇲🇽 Mexico (https://glassdoor.com.mx)
• 🇳🇱 Netherlands (https://glassdoor.nl)
• 🇳🇿 New Zealand (https://glassdoor.co.nz)
• 🇦🇹 Austria (https://glassdoor.at)
• 🇨🇭 Switzerland (Deutsch/Français) (https://de.glassdoor.ch / https://fr.glassdoor.ch)
• 🇸🇬 Singapore (https://glassdoor.sg)
• 🇬🇧 United Kingdom (https://glassdoor.co.uk)

🏢 Employer Filter Formats:

1. Glassdoor Company ID (e.g., 9079 for Google)
2. Glassdoor Company URL (e.g., https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.htm)
3. Company Name Search (e.g., Google)

When you provide a company name, the Actor will search Glassdoor to find matching companies and display the top 10 results in the logs. It will automatically use the best match for scraping.

🎯 Job Search Filters

These filters only apply when the action is set to "Search Jobs".

Field	Type	Required	Description
🔤 Job Keyword	string	No	Job search keywords: job title, skills, or role (e.g., Software Engineer, Data Analyst, Python Developer)
🚀 Easy Apply Only	boolean	No	Filter to show only jobs with Glassdoor's Easy Apply feature. Default: false
🏠 Remote Only	boolean	No	Filter to show only remote work positions. Default: false
💵 Include No Salary Jobs	boolean	No	Include job listings without salary information. Default: true
💲 Minimum Salary	integer	No	Minimum salary threshold in local currency (e.g., 50000 for $50K USD)
💲 Maximum Salary	integer	No	Maximum salary threshold in local currency (e.g., 150000 for $150K USD)
⭐ Minimum Employer Rating	string	No	Minimum company rating on Glassdoor (1-5 stars). Options: FIVE, FOUR, THREE, TWO, ONE, ZERO
📅 Posted Within	string	No	Time window for job posting date. Options: ONE_DAY, THREE_DAYS, SEVEN_DAYS, FOURTEEN_DAYS, THIRTY_DAYS
💼 Job Type	string	No	Employment type. Options: ALL, FULL_TIME, PART_TIME, CONTRACT, INTERNSHIP, TEMPORARY, APPRENTICESHIP, ENTRYLEVEL
📏 Distance / Radius	string	No	Geographic search radius in kilometers from specified location. Options: WITHIN_0_MILES, WITHIN_10_KILOMETERS, WITHIN_20_KILOMETERS, WITHIN_30_KILOMETERS, WITHIN_50_KILOMETERS, WITHIN_100_KILOMETERS, WITHIN_200_KILOMETERS
📊 Seniority Level	string	No	Experience level. Options: ALL, INTERNSHIP, ENTRYLEVEL, MIDSENIORLEVEL, DIRECTOR, EXECUTIVE
🏢 Company Size	string	No	Company size by employee count. Options: ALL, TINY (1-200), SMALL (201-500), MEDIUM (501-1000), LARGE (1001-5000), HUGE (5000+)
🛠️ Job Function	string	No	Job department or functional area. Options: ADMINISTRATIVE, ARTS_AND_DESIGN, BUSINESS, CONSULTING, CUSTOMER_SERVICES_AND_SUPPORT, EDUCATION, ENGINEERING, FINANCE_AND_ACCOUNTING, HEALTHCARE, HUMAN_RESOURCES, INFORMATION_TECHNOLOGY, LEGAL, MARKETING, MEDIA_AND_COMMUNICATIONS, MILITARY_AND_PROTECTIVE_SERVICES, OPERATIONS, OTHER, PRODUCT_AND_PROJECT_MANAGEMENT, RESEARCH_AND_SCIENCE, RETAIL_AND_FOOD_SERVICES, SALES, SKILLED_LABOR_AND_MANUFACTURING, TRANSPORTATION
🏭 Industry	string	No	Company industry sector. Options: ALL, AEROSPACE, ART_ENTERTAINMENT_RECREATION, PHARMACEUTICAL_BIOTECH, CONSTRUCTION_REPAIR_MAINTENANCE, PERSONAL_CONSUMER_SERVICE, EDUCATION, FINANCIAL, GOVERNMENT_PUBLIC_ADMINISTRATION, HUMAN_RESSOURCES_AND_RECRUITMENT, INFORMATION_TECHNOLOGIE, INSURANCE, MANAGEMENT_AND_CONSULTING, MANUFACTURING, MEDIA_MARKETING_COMMUNICATIONS, NON_PROFIT_NGO, ENERGY_MINING_UTILITIES, REAL_ESTATE, RESTAURANT_FOOD_SERVICE, RETAIL_WHOLESALE, TELECOMMUNICATIONS, HOTEL_TRAVEL_ACCOMMODATION
🎯 Job Domain	string	No	Specialized job domain or field. Options: ALL, ADMINISTRATION, AFFAIRS, CONSEIL, FORMATION, ENGINEERING, FINANCE, HUMAN_RESOURCES_AND_RECRUITMENTS, INFORMATION_TECHNOLOGY, LEGAL, MEDIA_AND_COMMUNICATION, PRODUCT_PROJECT_MANAGEMENT, SCIENCE_RESEARCH, SELL_AREA
🔀 Sort By	string	No	Sort order for job search results. Options: date_asc (Oldest First), date_desc (Newest First), relevance (Relevance)

⭐ Employer Reviews Filters

These filters only apply when the action is set to "Search Employer Reviews".

Field	Type	Required	Description
🔍 Text Search	string	No	Keyword search within review text content (pros, cons, advice)
💼 Job Title Search	string	No	Filter reviews by reviewer's job title (e.g., Software Engineer, Manager)
🌟 Work-Life Topics	array	No	Filter reviews by specific themes. Options: REMOTE_WORK, WORK_LIFE_BALANCE, COWORKERS, BENEFITS, CULTURE, COMPENSATION, MANAGEMENT, WORKPLACE, CAREER_DEVELOPMENT, SENIOR_LEADERSHIP, DIVERSITY_AND_INCLUSION, COVID
🛠️ Job Function	string	No	Filter reviews by reviewer's department. Same options as Job Search Job Function
💼 Job Types	array	No	Filter reviews by reviewer's employment type. Options: REGULAR, PART_TIME, CONTRACT, INTERN, FREELANCE
🌐 Review Languages	array	No	Filter reviews by written language. Options: ENGLISH, FRENCH, GERMAN, DUTCH, PORTUGUESE, SPANISH, ITALIAN
⭐ Minimum Review Rating	string	No	Minimum overall rating (1-5 stars). Options: FIVE, FOUR, THREE, TWO, ONE
🔀 Sort By	string	No	Sort order for employer reviews. Options: DATE (Most Recent), DATE_ASC (Oldest First), RATING (Highest First), RATING_ASC (Lowest First), RELEVANCE (Popular). Default: RELEVANCE

💬 Employer Interviews Filters

These filters only apply when the action is set to "Search Employer Interviews".

Field	Type	Required	Description
🛠️ Job Function	string	No	Filter interviews by job department. Same options as Job Search Job Function
💼 Job Title Search	string	No	Filter interviews by position applied for (e.g., Software Engineer, Product Manager)
📋 Interview Result	string	No	Interview outcome. Options: ALL, ACCEPT_OFFER, DECLINE_OFFER, RECEIVED_OFFER
🔀 Sort By	string	No	Sort order for employer interviews. Options: DATE (Most Recent), DATE_ASC (Oldest First), DIFFICULTY_ASC (Easiest First), DIFFICULTY_DESC (Hardest First), RELEVANCE (Popular). Default: RELEVANCE

💰 Employer Salaries Filters

These filters only apply when the action is set to "Search Employer Salaries".

Field	Type	Required	Description
💼 Job Title Search	string	No	Filter salary data by job title (e.g., Software Engineer, Data Scientist)
🏢 Job Department	string	No	Filter salary data by department. Options: ENGINEERING, CONSULTING, INFORMATION_TECHNOLOGY, PRODUCT_MANAGEMENT, SALES, RESEARCH_SCIENCES, BUSINESS, FINANCE_ACCOUNTING, ART_DESIGN, OTHER, MARKETING, HUMAN_RESOURCES, LEGAL, ADMINISTRATIVE, SKILLED_LABOR_MANUFACTURING, OPERATIONS, CUSTOMER_SERVICE_SUPPORT, MEDIA_COMMUNICATIONS, MILITARY_PROTECTIVE_SERVICES, RETAIL_FOOD_SERVICES, TRANSPORTATION, EDUCATION, HEALTHCARE
💰 Pay Period	string	No	Salary time period. Options: ANNUAL (Yearly), MONTHLY, HOURLY, WEEKLY
🔀 Sort By	string	No	Sort order for employer salaries. Options: TOTAL_PAY_DESC (High to Low), POPULAR (Most Recent), UGC_SALARY_COUNT_DESC (Most Salaries Submitted). Default: UGC_SALARY_COUNT_DESC

⚙️ Technical Configuration

Field	Type	Required	Description
🚀 Desired Concurrency	integer	No	Number of parallel requests (1-1000). Higher values = faster scraping but more memory usage. Recommended: 200-400 for 512MB, 400-600 for 1GB, 600-1000 for 2GB+. Default: 400
🌐 Proxy Configuration	object	No	Proxy settings to avoid IP blocking. Residential proxies required. Recommended: Use Apify Proxy with country matching target Glassdoor domain. Default: Apify Proxy with Residential group and US country

🌐 Proxy Configuration Details:

• Use Apify Proxy: ✅ Enabled (default)
• Proxy Group: Residential (default)
• Country: US (default, should match target Glassdoor domain)

Recommended proxy countries:

• 🇬🇧 UK proxies for glassdoor.co.uk
• 🇩🇪 German proxies for glassdoor.de
• 🇫🇷 French proxies for glassdoor.fr
• 🇨🇦 Canadian proxies for glassdoor.ca
• 🇦🇺 Australian proxies for glassdoor.com.au

Important: Glassdoor actively blocks datacenter proxies and non-residential IPs. Using residential proxies ensures higher success rates and prevents IP bans.

📤 Output

GlassSeaker provides clean, structured data organized into four separate views in your dataset. All output fields use semantic naming conventions optimized for AI consumption and artificial intelligence workflows, making it ideal for MCP integrations, LLM applications, and automated data processing pipelines.

You must select the appropriate view in the Apify Console Output tab based on your chosen action.

📊 Dataset Views

After your Actor run completes, navigate to the Output tab and select the appropriate view:

• Jobs view - For "Search Jobs" action
• Reviews view - For "Search Employer Reviews" action
• Interviews view - For "Search Employer Interviews" action
• Salaries view - For "Search Employer Salaries" action

Each view is optimized for its specific data type with appropriate column formatting for easy viewing and CSV export.

📦 Raw Data Preservation

All output includes an original_data field containing the complete raw response from Glassdoor's API. This ensures you have access to any additional fields that may not be included in the cleaned, structured output.

Why include raw data?

• Access to any fields not explicitly parsed
• Future-proof your data collection
• Useful for debugging or custom processing
• No data loss during serialization

The raw data can be hidden when exporting to CSV or ignored if you only need the cleaned fields.

🔄 Data Export Options

Download your scraped data in multiple formats optimized for both human analysis and AI consumption:

• JSON - Full nested data structure with all fields, perfect for AI agents and MCP integrations
• CSV - Flattened structure, perfect for Excel or data analysis
• Excel - Ready-to-use spreadsheet format
• HTML Table - Preview data in browser
• RSS Feed - Subscribe to data updates
• API Access - Direct integration with AI systems and artificial intelligence workflows

All exports are available through the Apify platform API or Console UI, making it easy to feed data into LLM applications, Model Context Protocol servers, and AI-powered tools.

📊 Statistics and Optimization

Performance metrics coming soon!

We're collecting real-world usage data to provide accurate statistics on:

• Average scraping speeds by action type
• Compute unit consumption patterns
• Optimal concurrency settings for different memory configurations
• Success rates across different Glassdoor domains

This section will be updated with concrete performance benchmarks and optimization recommendations.

📋 Output Examples

Below are sample outputs for each data type. These examples show the cleaned, structured data format you'll receive.

Important notes about output data:

• Raw data is always included: Each record contains an original_data field with the complete raw response from Glassdoor's API. This ensures you never lose any data during serialization.
• AI-optimized field names: All output fields use clear, semantic names that are easily understood by AI agents, LLMs, and MCP-compatible tools, making integration with artificial intelligence workflows seamless.
• Select the correct view: Make sure to navigate to the appropriate view in the Output tab based on your selected action (Jobs, Reviews, Interviews, or Salaries). Each view displays the relevant fields for that data type.
• All fields available: If you need to see all fields across all data types, you can use the "All fields" view in the dataset, though it's recommended to use the specific views for better readability.
• Export flexibility: The original_data field can be excluded when exporting to CSV if you only need the cleaned, structured fields.
• MCP-ready format: The structured output is designed to work seamlessly with Model Context Protocol servers and AI agent frameworks.

Jobs View

{
    "type": "job-full",
    "employer_logo_url": "https://media.glassdoor.com/sql/7201/burger-king-squareLogo-1718724050099.png",
    "employer_short_name": "Burger King",
    "job_title": "Restaurant Crew Member",
    "description": "What’s in it for you?\n\n[Hourly rates: 16-17 years £7.55 | 18-20 years £10.00 | 21+ £12.21]\nGet trained to run a shift and you could earn £12.71 per hour whilst doing so!\n\nFlexible hours\nLots of progression opportunities. Grow your career with us!\nA supportive team who’ll look out for you\nAccess our internal learning platform THRIVE at BK. Drive your own development!\nAccess to premium retail discounts from many of your favourite retailers\n10% off with a national gym chain\n70% off food and drink for friends and family\nWagestream. Access your pay when you need to. Stop waiting for pay day!\nEmployee Assistance Programme - confidential support when you need it\nJoin our restaurant crew, and you’ll see that working here is about much more than just flipping burgers. It’s about having ambition. It’s about building a career. It’s about standing up for what you believe in. And having the space to stand proud and be exactly who you are when you’re in your work threads.\n\nBut above all, it’s about being your true self. And your best self. Because here at Burger King, we keep it real.\nThinking about a career? Did you know over 70% of our management roles are filled internally! We're always looking for managers for the future so if you're looking to grow you've come to the right place!\nWe're growing fast, so we'll make sure you have everything you need to learn, grow and develop with us. And who knows, it might not be long before you're running your own restaurant. Like a boss.\nWhat you’ll do\n\nAs part of our fast-moving, high-energy, ultra-supportive family, you’ll split your time between our kitchen, our service area, and the dining area. All while growing your skills when it comes to creating perfect products. And building your knowledge of what’s behind our legendary customer experiences.\nWhat we’re after\nThese roles aren’t for everyone. But if you’re the kind of person who can keep it real at work, who can put a smile on someone else’s face, who can pick up the pace when it matters, and who can smash out tasks as part of a team, then it really could be for you.\nAnd if you also get a buzz out of helping people, and you’ve got what it takes to put the fun into functional, then we think you’ll fit right in.\nExperience would be great if you have it - but don’t worry if not, because we’ll give you full training.\n\nJoin our team now\nIf you think you’re ready for a real opportunity, then maybe it’s time you dropped your current crew and joined ours instead.\n\nWe are a Disability Confident employer. We welcome applications from candidates of all backgrounds and experiences. If you require adjustments or accommodations during the application or interview process, please do not hesitate to contact us, we are committed to providing a fair and accessible recruitment process for all applicants.",
    "job_id": 1009942325681,
    "job_title_id": 0,
    "normalized_job_title": "food service worker",
    "description_fragments": [
        "Access to premium retail discounts from many of your favourite retailers. [Hourly rates: 16-17 years £7.55 | 18-20 years £10.00 | 21+ £12.21]."
    ],
    "job_source": "Indeed Job Search Platform",
    "discover_date": "2025-11-18T00:00:00",
    "listing_id": 1009942325681,
    "seo_job_link": "https://www.glassdoor.co.uk/job-listing/restaurant-crew-member-burger-king-uk-JV_IC2671300_KO0,22_KE23,37.htm?jl=1009942325681",
    "age_in_days": 0,
    "apply_url": "https://www.glassdoor.com/partner/jobListing.htm?pos=101&ao=1136043&tgt=APPLY_START&s=58&guid=0000019a97f8d068bb8c54a22b03a2de&src=GD_JOB_VIEW&t=NS&vt=w&ea=1&cs=1_ab80d308&cb=1763486257420&jobListingId=1009942325681&jrtk=5-yul1-3-1jabvhk5elvuv801",
    "job_link": "https://www.glassdoor.com/partner/jobListing.htm?pos=101&ao=1136043&s=58&guid=0000019a97f8d068bb8c54a22b03a2de&src=GD_JOB_AD&t=NS&vt=w&ea=1&cs=1_ff787870&cb=1763486257419&jobListingId=1009942325681",
    "easy_apply": true,
    "easy_apply_method": "INDEED",
    "apply_button_disabled": false,
    "expired": false,
    "job_type": ["Part-time"],
    "job_type_keys": ["search-jobs.job-type-options.parttime"],
    "category_mgoc_id": 10058,
    "sgoc_id": 1020,
    "goc": "food service worker",
    "pay_currency": "GBP",
    "pay_period": null,
    "pay_percentile_10": null,
    "pay_percentile_50": null,
    "pay_percentile_90": null,
    "pay_period_adjusted_pay": null,
    "salary_source": null,
    "hourly_wage_pay_percentile": null,
    "additional_pay": null,
    "base_pay": null,
    "location_name": "London, England",
    "location_type": "C",
    "city_name": "London, England",
    "state_name": "England",
    "country": "United Kingdom",
    "postal_code": null,
    "latitude": 51.5,
    "longitude": -0.1166667,
    "loc_id": 2671300,
    "job_country_id": 2,
    "address": null,
    "remote_work_types": null,
    "employer_id": 7201,
    "employer_name": "Burger King Holdings, Inc.",
    "employer_name_from_search": "Burger King UK",
    "employer_active_status": "ACTIVE",
    "employer_size": "10000+ Employees",
    "employer_size_category": "GIANT",
    "company_headquarters": "Miami, FL",
    "company_type": "Company - Public",
    "company_revenue": "Unknown / Non-Applicable",
    "company_website": "https://www.burgerking.com",
    "company_year_founded": 1954,
    "company_industry": "Restaurants & Cafes",
    "company_industry_sector": "Restaurants & Food Service",
    "overall_rating": 3.3,
    "career_opportunities_rating": 3.2,
    "compensation_benefits_rating": 2.9,
    "culture_values_rating": 3.1,
    "senior_management_rating": 3,
    "work_life_balance_rating": 2.9,
    "recommend_to_friend_rating": 0.52,
    "ceo_rating": 0.61,
    "ceo_ratings_count": 2152,
    "ceo_name": "Jose Cil\t",
    "ceo_photo_url": "https://media.glassdoor.com/people/sql/7201/burger-king-ceo1554810679376.png",
    "benefits_overall_rating": 3,
    "benefits_num_reviews": 3,
    "benefits_highlights": [
        {
            "__typename": "BenefitHighlightVO",
            "benefit": {
                "__typename": "BenefitVO",
                "commentCount": 271,
                "icon": "discount",
                "name": "Employee Discount"
            },
            "highlightPhrase": "it could be better discount"
        },
        {
            "__typename": "BenefitHighlightVO",
            "benefit": {
                "__typename": "BenefitVO",
                "commentCount": 153,
                "icon": "jobTraining",
                "name": "Job Training"
            },
            "highlightPhrase": "It could be better overall "
        },
        {
            "__typename": "BenefitHighlightVO",
            "benefit": {
                "__typename": "BenefitVO",
                "commentCount": 22,
                "icon": "flexWorkSched",
                "name": "Reduced or Flexible Hours"
            },
            "highlightPhrase": "Best: They allow for a better work-life balance and accommodate personal schedules.  \nWorst: They can lead to inconsistent income and may limit access to benefits."
        }
    ],
    "review_highlights_positive": [
        "good pay and flexible always",
        "Management was good and treated us well",
        "Flexible hours and good if in school",
        "Great and free food king hours tho",
        "the people are very nice to me and others are very funny"
    ],
    "review_highlights_negative": [
        "low pay and very boring",
        "Poor management and loads of favortism",
        "Hours are long and busy",
        "Does not give discount or free food.",
        "Homeless people are rude and nice"
    ],
    "company_benefits_url": "https://www.glassdoor.com/Benefits/Burger-King-Benefits-E7201.htm",
    "company_overview_url": "https://www.glassdoor.com/Overview/Working-at-Burger-King-EI_IE7201.11,22.htm",
    "company_photos_url": "https://www.glassdoor.com/Photos/Burger-King-Office-Photos-E7201.htm",
    "company_reviews_url": "https://www.glassdoor.com/Reviews/Burger-King-Reviews-E7201.htm",
    "company_salaries_url": "https://www.glassdoor.com/Salary/Burger-King-Salaries-E7201.htm",
    "company_photos": [
        {
            "photo_id": 14493407,
            "caption": "Les différents métiers chez Burger King",
            "photo_url": "https://media.glassdoor.com/lst/47/c2/51/d7/les-diffã-rents-mã-tiers-chez-burger-king.jpg?signature=e77efcdd1e75b99aacf11d4e8f8941e1e22513448862b2295ecaa77b399fdef8",
            "photo_url_2x": "https://media.glassdoor.com/lst2x/47/c2/51/d7/les-diffã-rents-mã-tiers-chez-burger-king.jpg?signature=1695c7283d9479af2d79b7d75065ef1ae880a7c139fda7dd91cc8c8cf6438991"
        },
        {
            "photo_id": 14493530,
            "caption": "Témoignage directrice Burger King",
            "photo_url": "https://media.glassdoor.com/lst/9b/8e/b7/17/tã-moignage-directrice-burger-king.jpg?signature=d909adbdc0f4246a6b7eea0514a8da27873f2f6ef3e72127977f180254b33e1b",
            "photo_url_2x": "https://media.glassdoor.com/lst2x/9b/8e/b7/17/tã-moignage-directrice-burger-king.jpg?signature=6df34658fca668d1fd0c0bb7db20b0aa1aa3a42cde69ccce3b7252fa49b4aabf"
        },
        {
            "photo_id": 14389451,
            "caption": "Equipière Polyvalente",
            "photo_url": "https://media.glassdoor.com/lst/35/99/a8/4d/equipiã-re-polyvalente.jpg?signature=882fb148393b5b62a180c48928420dc395cc735534fd10ac6e46e6c1c9c49814",
            "photo_url_2x": "https://media.glassdoor.com/lst2x/35/99/a8/4d/equipiã-re-polyvalente.jpg?signature=2cc1231b28f94e099942e727ed584aaf9437bae941d6f3a281c72c3ded0c1c93"
        },
        {
            "photo_id": 14389454,
            "caption": "Equipière Polyvalente",
            "photo_url": "https://media.glassdoor.com/lst/80/cb/ea/a0/equipiã-re-polyvalente.jpg?signature=8d0ea5081ea7ff1801a8227a8b02094c15e180477a5312179373dedc97d515c4",
            "photo_url_2x": "https://media.glassdoor.com/lst2x/80/cb/ea/a0/equipiã-re-polyvalente.jpg?signature=c701f55e8cb853ea6a573d9e7334fbd16c85a603a24673ae7d125e4e20bf2fad"
        },
        {
            "photo_id": 14389456,
            "caption": "Assistante RH",
            "photo_url": "https://media.glassdoor.com/lst/3f/fc/6b/2b/assistante-rh.jpg?signature=411b282e41c6473063a40613020e8698279e6d55bbb845a736560d427ad7bec0",
            "photo_url_2x": "https://media.glassdoor.com/lst2x/3f/fc/6b/2b/assistante-rh.jpg?signature=becf74486e0f68ed9ed6557bb5678ab6036a99bbf8d54ee0be44d27b423b99fa"
        },
        {
            "photo_id": 14389458,
            "caption": "Shift Leader",
            "photo_url": "https://media.glassdoor.com/lst/dc/b5/a4/56/shift-leader.jpg?signature=75c604df6cdf088ef60ca94ffb4c159842c0cd2cb81e6993299caf69d7554d9f",
            "photo_url_2x": "https://media.glassdoor.com/lst2x/dc/b5/a4/56/shift-leader.jpg?signature=baf094de9dd85140b947a447b1a8b7b87bc1822cd50cfc98a531541cc3e44416"
        },
        {
            "photo_id": 14389460,
            "caption": "Manager",
            "photo_url": "https://media.glassdoor.com/lst/63/eb/a0/63/manager.jpg?signature=65d1d985481f4687b6d2f0ab0d9a3803481b423b15fe7ca53e2fe67f0e8d26ba",
            "photo_url_2x": "https://media.glassdoor.com/lst2x/63/eb/a0/63/manager.jpg?signature=3de9760f36976a898cae5de2e7cc46e8fea254b2fd8d0eb344dd48134b4dfda6"
        }
    ],
    "similar_jobs": [
        {
            "career_url": "https://www.glassdoor.com/Job/food-service-assistant-jobs-SRCH_KO0,22.htm",
            "related_job_title": "food service assistant"
        },
        {
            "career_url": "https://www.glassdoor.com/Job/food-service-manager-jobs-SRCH_KO0,20.htm",
            "related_job_title": "food service manager"
        },
        {
            "career_url": "https://www.glassdoor.com/Job/merchandise-coordinator-jobs-SRCH_KO0,23.htm",
            "related_job_title": "merchandise coordinator"
        },
        {
            "career_url": "https://www.glassdoor.com/Job/food-service-supervisor-jobs-SRCH_KO0,23.htm",
            "related_job_title": "food service supervisor"
        },
        {
            "career_url": "https://www.glassdoor.com/Job/prep-cook-jobs-SRCH_KO0,9.htm",
            "related_job_title": "prep cook"
        },
        {
            "career_url": "https://www.glassdoor.com/Job/food-server-jobs-SRCH_KO0,11.htm",
            "related_job_title": "food server"
        },
        {
            "career_url": "https://www.glassdoor.com/Job/kitchen-helper-jobs-SRCH_KO0,14.htm",
            "related_job_title": "kitchen helper"
        },
        {
            "career_url": "https://www.glassdoor.com/Job/fry-cook-jobs-SRCH_KO0,8.htm",
            "related_job_title": "fry cook"
        }
    ],
    "indeed_job_attribute_education": [],
    "indeed_job_attribute_education_labels": [],
    "indeed_job_attribute_skills": ["QJWAE"],
    "indeed_job_attribute_skills_labels": ["IT"],
    "indeed_job_attribute_years_experience_labels": [],
    "sponsored": false,
    "organic": true,
    "ad_order_id": 1136043,
    "ad_order_sponsorship_level": "Organic",
    "advertiser_type": "GENERAL",
    "job_result_tracking_key": "5-yul1-3-1jabvhk5elvuv801",
    "needs_commission": false,
    "urgency_signal": null,
    "saved_job_id": null,
    "application_id": 0,
    "applied_date": null,
    "is_indexable_job_view_page": false,
    "hide_ceo_info": false,
    "page_request_guid": "0000019a97f8d068bb8c54a22b03a2de",
    "import_config_id": 0,
    "eol_hash_code": 0
}

Company Reviews View

{
    "type": "employer-review",
    "employer_logo_url": "https://media.glassdoor.com/sql/7201/burger-king-squareLogo-1718724050099.png",
    "employer_name": "Burger King",
    "review_id": 100916608,
    "review_date": "2025-10-27T18:32:09.033",
    "language": "eng",
    "summary": "Team Member position review at BK",
    "pros": "It was a good temporary job to make a few extra bucks on the side while being a full-time college student.  Management was very generous in letting me work one day a week (usually an 8-10 hour shift on Saturday or Sunday) since I had to come back home every weekend from college to work.",
    "cons": "Rude and entitled customers, but that happens in every customer service job",
    "advice": "Not really",
    "job_title": "Team Member",
    "job_title_id": 64837,
    "location": "Crofton, MD",
    "location_type": "CITY",
    "employment_status": "PART_TIME",
    "is_current_job": false,
    "length_of_employment_years": 2,
    "rating_overall": 3,
    "rating_work_life_balance": 3,
    "rating_culture_and_values": 3,
    "rating_diversity_and_inclusion": 3,
    "rating_senior_leadership": 3,
    "rating_compensation_and_benefits": 3,
    "rating_career_opportunities": 3,
    "rating_ceo": "NO_OPINION",
    "rating_business_outlook": "NEUTRAL",
    "rating_recommend_to_friend": "NEGATIVE",
    "employer_id": 7201,
    "helpful_count": 0,
    "not_helpful_count": 0,
    "featured": false,
    "has_employer_response": false,
    "employer_response_text": null,
    "employer_response_date": null,
    "employer_response_helpful_count": 0,
    "employer_response_not_helpful_count": 0
  },

Company Interviews View

{
    "type": "employer-interview",
    "interview_id": 101263883,
    "review_date": "2025-11-13T18:55:43.46",
    "interview_date": null,
    "language": null,
    "job_title": "Cashier",
    "location_name": "Greer, SC",
    "location_type": "CITY",
    "process_description": "Interview was to the point and managers are nice, for some reason i had two interviews but everything went well and it was an easy onboarding process. Nothing bad to say about this location.",
    "duration_days": null,
    "difficulty": "VERY_EASY",
    "experience": "NEUTRAL",
    "outcome": "DECLINE_OFFER",
    "application_source": null,
    "is_current_job": true,
    "advice": null,
    "declined_reason": null,
    "negotiation_description": null,
    "other_source": null,
    "other_steps": null,
    "questions_asked": "What makes you a good fit for this role?",
    "questions_count": 1,
    "helpful_count": 0,
    "not_helpful_count": 0,
    "featured": false,
    "has_employer_response": false
}

Salaries View

{
    "type": "employer-salary",
    "employer_logo_url": null,
    "employer_name": null,
    "job_title": "Crew Member",
    "job_title_id": 59503,
    "salary_count": 29,
    "currency": "GBP",
    "base_pay_p10": 12540,
    "base_pay_p25": 16248.75,
    "base_pay_p50": 17325,
    "base_pay_p75": 21000,
    "base_pay_p90": 21550.2,
    "total_pay_p10": 12600,
    "total_pay_p25": 16248.75,
    "total_pay_p50": 17425,
    "total_pay_p75": 21000,
    "total_pay_p90": 21550.2,
    "additional_pay_p10": 200,
    "additional_pay_p25": 200,
    "additional_pay_p50": 550,
    "additional_pay_p75": 900,
    "additional_pay_p90": 900,
    "cash_bonus_p10": 100,
    "cash_bonus_p25": 100,
    "cash_bonus_p50": 300,
    "cash_bonus_p75": 500,
    "cash_bonus_p90": 500,
    "stock_bonus_p10": 100,
    "stock_bonus_p25": 100,
    "stock_bonus_p50": 100,
    "stock_bonus_p75": 100,
    "stock_bonus_p90": 100,
    "profit_sharing_p10": 100,
    "profit_sharing_p25": 100,
    "profit_sharing_p50": 100,
    "profit_sharing_p75": 100,
    "profit_sharing_p90": 100,
    "sales_commission_p10": 100,
    "sales_commission_p25": 100,
    "sales_commission_p50": 100,
    "sales_commission_p75": 100,
    "sales_commission_p90": 100,
    "tips_p10": 100,
    "tips_p25": 100,
    "tips_p50": 100,
    "tips_p75": 100,
    "tips_p90": 100,
    "employer_id": null,
    "location_id": 2671300,
    "location_name": "London, England",
    "location_type": "CITY",
    "estimate_source_name": "UGC",
    "most_recent": "2025-11-11T12:39:24"
}

⚖️ Legal and Ethical Considerations

Is it legal to scrape Glassdoor?

Our Actor is designed to be ethical and respect user privacy:

✅ What we extract:

• Publicly available job listings
• Public company reviews (anonymized by Glassdoor)
• Public interview experiences (anonymized)
• Aggregated salary statistics

❌ What we DON'T extract:

• Private user information
• Email addresses
• Personal identifiable information
• Content behind login walls

Important legal notes:

• All data extracted is publicly available on Glassdoor's website
• The Actor respects Glassdoor's rate limits and doesn't overwhelm their servers
• We recommend using this data for legitimate business purposes such as market research, competitive analysis, or recruitment intelligence
• You are responsible for complying with applicable data protection laws (GDPR, CCPA, etc.) when using the extracted data
• Personal data in reviews is already anonymized by Glassdoor before we extract it

Our recommendation: This scraper, when used for ethical purposes, is safe and legal. However, you should be aware that your results could contain personal data (e.g., job titles, locations mentioned in reviews). Personal data is protected by GDPR in the European Union and by other regulations around the world. You should not use this data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

For more information on the legality of web scraping, read our blog post: Is Web Scraping Legal?

🚀 How to Use Glassdoor Scraper

Quick Start (3 steps)

1. Select your action - Choose what type of data you want to extract (Jobs, Reviews, Interviews, or Salaries)

2. Configure your search - Set your filters based on what you're looking for:

   • For Jobs: Add keywords, location, salary range, etc.
   • For Reviews/Interviews/Salaries: Enter the company name or ID

3. Run and download - Click "Start" and download your data in JSON, CSV, or Excel format

Example Use Cases

Job Market Research

Action: Search Jobs
Keyword: "Machine Learning Engineer"
Location: "San Francisco, CA"
Salary Min: 150000
Max Items: 500

Company Analysis

Action: Search Employer Reviews
Employer Filter: "Google"
Location Filter: "Mountain View, CA"
Min Review Rating: 4
Max Items: 1000

Interview Preparation

Action: Search Employer Interviews
Employer Filter: "Amazon"
Job Function: Engineering
Max Items: 200

Salary Benchmarking

Action: Search Employer Salaries
Employer Filter: "Microsoft"
Job Title: "Software Engineer"
Location Filter: "Seattle, WA"
Pay Period: Annual

💡 Tips for Optimal Results

🚀 Performance Optimization

Choose the right concurrency:

• 512MB memory: 200-400 concurrent requests
• 1024MB memory: 400-600 concurrent requests
• 2048MB+ memory: 600-1000 concurrent requests

Use max_items effectively:

• Set realistic limits to control costs
• Start with smaller limits to test your configuration
• Scale up once you've verified the data quality

💡 Search Strategy

For job searches:

• Use specific keywords for better targeting
• Combine multiple filters to narrow results
• Use location radius to expand or restrict geographic scope

For company research:

• Use exact company names for best results
• Check the logs to verify the correct company was selected
• Use location filters to get region-specific data

🎯 Data Quality

Review filtering:

• Filter by minimum rating to focus on positive or negative feedback
• Use work-life topics to find specific themes
• Filter by language to get reviews in your preferred language

Salary accuracy:

• Higher salary counts indicate more reliable data
• Look at percentile spreads to understand compensation ranges
• Filter by location for region-specific salary data

🔧 Troubleshooting

If you're getting blocked:

• Ensure you're using residential proxies
• Reduce concurrency to be more gentle on Glassdoor's servers
• Try a different proxy country

If company search returns wrong company:

• Use the exact Glassdoor URL instead of company name
• Check the logs for search results and use the company ID
• Try different company name variations

If data seems incomplete:

• Check the original_data field for additional information
• Some fields may be null if Glassdoor doesn't provide that data
• Try removing filters to see if they're too restrictive

🆘 Support and Feedback

Need Help? We're Here for You!

Encountered an issue with your run? Don't hesitate to open an issue on the Apify Store page. I receive instant alerts for any reported issues and will address them very quickly.

How to report an issue:

1. Go to the "Issues" tab on this Actor's Apify Store page
2. Click "Report issue" and describe what happened
3. Include your Run ID (found in the URL of your Actor run)
4. Add any relevant error messages or logs
5. Share your input configuration (remove any sensitive data)

Response time: Most issues are addressed within a few hours. I'm committed to keeping this Actor running smoothly!

💬 Feedback & Feature Requests

Have a suggestion or need a new feature? I'm always looking to improve!

• Feature Requests: Open an issue with the tag "enhancement"
• General Feedback: Use the Issues tab to share your thoughts
• Success Stories: I'd love to hear how you're using GlassSeaker!

Built with ❤️ for the Apify community

If you find this Actor useful, please leave a review on the Apify Store! Your feedback helps us improve and helps others discover this tool.