Glassdoor Job Scraper 🔍

Extract comprehensive job listings with company insights, reviews, and salary data from Glassdoor!

The most detailed job scraper on Apify. Get everything you need for market research, recruitment intelligence, or competitive analysis - job details, company ratings, employee reviews, CEO approval ratings, benefits breakdowns, and salary ranges. All in one dataset.

What Makes This Scraper Unique? 🎯

Go beyond basic job listings with exclusive company intelligence data:

• Real employee reviews from current and former staff with pros, cons, and advice
• Precise salary ranges with baseSalary_min/baseSalary_median/baseSalary_max (P10/P50/P90 percentiles) for accurate compensation data
• CEO approval ratings with actual ratings count for leadership insights
• Benefits breakdowns with employee comments on what perks matter most
• Multi-dimensional company ratings across culture, work-life balance, career growth, and more

Perfect for anyone who needs deep company insights and job postings.

Pricing 💰

Event Type	🆓 Free Tier	🥉 Bronze Tier	🥈 Silver Tier	🥇 Gold Tier
Result Event (per 1,000 jobs)	$1.00	$0.90	$0.80	$0.70

Check out my other Products and Scrapers! 💥

My other Tools

• Daily Job Newsletter - Get the latest job on the market delivered to your inbox every day.

Scrapers

• Linkedin Job Scraper
• Indeed Job Scraper

Input

The Glassdoor scraper's input schema is highly customizable and divided into two main sections:

🔑 Search Parameters

• keywords (array of strings, required): One or more keywords to search for (e.g., job title, skills). Example: ["software engineer", "backend developer"]
• location (string, required): The location to search for jobs (e.g., "San Francisco, CA", "Montreal, QC, Canada")
• country (string, required): The country name for the search. Must be one of the supported countries (see below). Example: "Canada (English)" or "United States"
• datePosted (string, optional): Filter jobs by date posted. Possible values:
  • 1 - Last 24 hours
  • 3 - Last 3 days
  • 7 - Last 7 days
  • 14 - Last 14 days
• applicationType (string, optional): Filter for easy apply jobs. Value: 1
• remoteWorkType (string, optional): Filter for remote jobs. Value: 1
• minRating (string, optional): Filter jobs by minimum company rating:
  • 1 - 4 stars & up
  • 2 - 3 stars & up
  • 3 - 2 stars & up
  • 4 - 1 star & up
• minSalary (string, optional): Filter jobs by minimum salary (e.g., "100000")
• maxSalary (string, optional): Filter jobs by maximum salary (e.g., "150000")
• jobType (string, optional): Filter jobs by job type:
  • CF3CP - Full-time
  • 5QWDV - Permanent
  • 75GKK - Part-time
  • NJXCK - Contract
  • T9BXE - Fixed Term Contract
  • VDTG7 - Internship
• radius (string, optional): Search radius in miles: 10, 20, 30, 50, 100, 200
• industryNid (string, optional): Filter by industry (see supported industries below)
• sgocId (string, optional): Filter by job function (see supported functions below)
• employerSize (string, optional): Filter by employer size:
  • 1 - 1-200 employees
  • 2 - 201-500 employees
  • 3 - 501-1000 employees
  • 4 - 1001-5000 employees
  • 5 - 5001+ employees

⚙️ General Settings

• saveOnlyUniqueItems (boolean, optional): Prevent duplicate entries from being saved. Default is false.
• maxItems (number, optional): Limit the total number of jobs to scrape. Default is unlimited.
• includeNoSalaryJob (boolean, optional): Include jobs with no salary details. Default is true.
• deepSearch (boolean, optional): Perform a deep search to find more job listings based on related keywords. Ideal for searches expecting more than 400 results. Default is false.
• resumeKeywords: Optional profile matching — see 🎯 Profile Match section below.

🌍 Supported Countries

• United States
• Argentina
• Australia
• Austria
• Belgium (Dutch)
• Belgium (French)
• Brazil
• Canada (English)
• Canada (Français)
• Germany
• Spain
• France
• Hong Kong
• India
• Ireland
• Italy
• Mexico
• Netherlands
• New Zealand
• Singapore
• Switzerland (German)
• Switzerland (French)
• United Kingdom

🏭 Supported Industries

• 10002 - Aerospace & Defense
• 10019 - Energy, Mining & Utilities
• 10010 - Finance
• 10012 - Healthcare
• 10026 - Human Resources and Staffing
• 10013 - Information Technology
• 10014 - Insurance
• 10006 - Management and Consulting
• 10015 - Manufacturing
• 10016 - Media and Communications
• 10024 - Transportation and Logistics

🎯 Supported Job Functions

• 1003 - Business
• 1004 - Consulting
• 1007 - Engineering
• 1011 - Information Technology
• 1016 - Operations
• 1017 - Other
• 1018 - Product & Project Management
• 1019 - Research & Science
• 1022 - Skilled Labor & Manufacturing
• 1023 - Transportation

Input Sample

{
  "country": "United States",
  "deepSearch": true,
  "includeNoSalaryJob": true,
  "keywords": ["Full Stack Developer"],
  "location": "United States",
  "maxItems": 500,
  "remoteWorkType": "1",
  "saveOnlyUniqueItems": true,
  "resumeKeywords": [
    {
      "keyword": "TypeScript",
      "aliases": ["TS"]
    },
    {
      "keyword": "React"
    },
    {
      "keyword": "React Query",
      "aliases": ["TanStack Query"]
    },
    {
      "keyword": "Node.js",
      "aliases": ["Node"]
    }
  ]
}

Output Sample

[
	{
		"key": "1010077888186",
		"title": "Staff Full-Stack Software Engineer, Social Commerce",
		"normalizedTitle": "full stack engineer",
		"jobCategory": "full stack engineer",
		"jobUrl": "https://www.glassdoor.com/job-listing/staff-full-stack-software-engineer-social-commerce-discord-JV_IC1147401_KO0,50_KE51,58.htm?jl=1010077888186",
		"isEasyApply": false,
		"expired": false,
		"isSponsored": false,
		"jobRating": 4,
		"ageInDays": 28,
		"datePublished": "2026-03-26T04:00:00.000Z",
		"dateScraped": "2026-04-23T22:01:14.704Z",
		"educationRequired": [],
		"experienceRequired": ["8"],
		"searchKeyword": "Full Stack Developer-San Francisco, CA",
		"location_city": "San Francisco, CA",
		"location_state": "California",
		"location_country": "United States",
		"location_postalCode": null,
		"location_latitude": 37.775,
		"location_longitude": -122.41833,
		"jobTypes": ["Full-time"],
		"remoteWorkTypes": ["WORK_FROM_HOME"],
		"baseSalary_min": 248000,
		"baseSalary_max": 279000,
		"baseSalary_median": 263500,
		"salary_period": "ANNUAL",
		"salary_currency": "USD",
		"salarySource": "EMPLOYER_PROVIDED",
		"applyUrl": "https://www.glassdoor.com/partner/jobListing.htm?pos=101&ao=1136043&s=58&guid=0000019dbc5c9529b15b01083261dd60&src=GD_JOB_VIEW&t=NS&vt=w&cs=1_581aa20f&cb=1776981677462&jobListingId=1010077888186&jrtk=5-yul1-3-1jmu5p5a922rmk00",
		"company": {
			"companyName": "Discord, Inc. ",
			"companyShortName": "Discord",
			"companyPageUrl": "https://www.glassdoor.com/Overview/Working-at-Discord-EI_IE910317.11,18.htm",
			"logoImgUrl": "https://media.glassdoor.com/sql/910317/discord-squareLogo-1620918281628.png",
			"companyAddress": "San Francisco, CA",
			"companyType": "Company - Private",
			"companyYearFounded": 2015,
			"estimatedEmployeeCount": "501 to 1000 Employees",
			"companySizeCategory": "MEDIUM_TO_LARGE",
			"estimatedRevenue": "$25 to $100 million (USD)",
			"industryType": "Internet & Web Services",
			"industrySector": "Information Technology",
			"corporateLink": "http://www.discord.com",
			"overallRating": 4,
			"workLifeBalanceRating": 3.8,
			"compensationAndBenefitsRating": 4.2,
			"managementRating": 3.4,
			"cultureAndValuesRating": 4,
			"careerOpportunitiesRating": 3.7,
			"ceoRating": 0.75,
			"ceoRatingsCount": 13,
			"recommendToFriendRating": 0.69,
			"totalReviews": 0
		},
		"attributes": [
			"Azure",
			"Google Cloud Platform",
			"E-commerce",
			"AWS",
			"A/B testing",
			"Leadership",
			"TypeScript",
			"Python",
			"React Native"
		],
		"searchUrl": "https://www.glassdoor.com/Job/san-francisco-ca-full-stack-engineer-jobs-SRCH_IL.0,16_IC1147401_KO17,36.htm?jl=1010077888186&srs=JV_APPLYPANE",
		"description_text": "...the engineers around you through code review, technical design input, and leading by example on quality and ownership. What you should have 8+ years of experience as a software engineer, including experience leading cross-functional projects as an individual contributor. Strong expertise in at least a couple of the major parts of our stack: Python and TypeScript/React. You're comfortable switching between stacks and have a track record of picking up new ones quickly. A product sense that goes beyond implementation. You'll be collaborating with PMs and designers daily, and we need someone who can push back, suggest alternatives, and help shape what we build. Comfort with ambiguity and experimentation. This team ships A/B tests, reads results, and changes direction. You should be someone who thrives in that environment rather than waiting for a fully-baked spec. A bias toward solving problems from first principles. You learn from what didn't work and help the team do the same. Bonus Points Experience with React Native for mobile development. Experience with game development or game platform ecosystems. Experience with cloud infrastructure (GCP, AWS, or Azure) for production backend systems. This position is US-based and can be remote but if you live in the Bay Area, you’re welcome to work from our beautiful SF office. The US base salary range for this full-time position is $248,000 to $279,000 + equity + benefits...",
		"description_html": "Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.The Social Commerce team is building a storefront for game developers to sell directly to their players in Discord. This is a new initiative that has seen a lot of early success, and we're expanding it to support more games and platforms. But we're not just building a shop — Discord is where friends already hang out, play together, and share the things they love. We are building commerce experiences that no other platform can: purchasing that's social, contextual, and embedded in the games people already play and places they already spend time. If you are excited to get in on the ground floor of this new product, then this role is for you. What You'll Be Doing Building cross-platform purchase flows...",
		"matchedKeywords": ["TypeScript", "React"],
		"unmatchedKeywords": ["React Query", "Node.js"],
		"keywordMatchScorePercentage": 50
	},
...
]

🎯 Profile Match — Your Resume / CV Skills

⚠️ This is NOT a search filter — it does not change which jobs Glassdoor returns to you.

This is a profile matching tool for smarter job hunting. Paste the skills from your resume/CV here, and the scraper will automatically score every job description against your profile. Instead of reading through dozens of postings, you instantly see which jobs you're actually qualified for — and can skip the rest entirely.

Each entry has a required keyword and an optional aliases array for abbreviations or alternate names. When provided, each job in the output will include three extra fields:

• matchedKeywords — which of your skills were found in the job description
• unmatchedKeywords — which of your skills were NOT found
• keywordMatchScorePercentage — percentage of your skills found (0–100), computed as round(matched ÷ total × 100). Example: 3 out of 5 matched = 60

Example:

[
  { "keyword": "JavaScript", "aliases": ["JS"] },
  { "keyword": "Kubernetes", "aliases": ["K8s"] },
  { "keyword": "C++" },
  { "keyword": "Project Management", "aliases": ["PM"] },
  { "keyword": "Python" }
]

Matching is case-insensitive and uses smart word boundaries — for example, JS won't accidentally match JSON, and C++ is handled correctly despite containing symbols.

🤖 Generate Skills from Your CV Automatically

Instead of manually listing your skills, let an AI extract them from your CV and output them in the exact format above:

LLM	Link	Note
ChatGPT	Open with prompt →	No login needed
Claude	Open with prompt →	Login required

Or copy this prompt and paste it into any LLM of your choice:

Extract skills and keywords from my CV for job matching. Add common abbreviations as aliases.
Output ONLY a raw JSON array with no explanation or markdown, using this format:
[{"keyword":"JavaScript","aliases":["JS"]},{"keyword":"Python"}].
I will paste my CV after this message.

The AI will output a JSON array — copy and paste it directly into the resumeKeywords field.

Use Cases 🚀

1. Recruitment Intelligence

Build comprehensive talent pipelines with company culture insights. Use overallRating, cultureAndValuesRating, reviews, and benefitReviews to qualify employers before reaching out to candidates.

2. Salary Benchmarking

Analyze market rates with precise salary data. Use baseSalary_min, baseSalary_median, baseSalary_max, salary_currency, and salary_period for compensation planning.

3. Market Research & Analysis

Track hiring trends by industry, location, or company size. Use companySizeCategory, industrySector, jobCategory, and ageInDays to identify growth patterns.

4. Competitor Analysis

Monitor competitor hiring and employer branding. Use companyYearFounded, estimatedEmployeeCount, companyType, and ceoRating to track competitive positioning.

5. Job Aggregation Platforms

Build job boards with richer data than competitors. Use normalizedTitle, jobCategory, educationRequired, experienceRequired, and attributes for better job matching.

6. Academic Research

Study labor markets and employment trends. Use location_* fields, remoteWorkTypes, jobTypes, and searchKeyword for geographic and temporal analysis.

7. Resume & Skill Matching

Instantly score job listings against your resume. Use resumeKeywords to supply your skill set — each job will come back with matchedKeywords, unmatchedKeywords, and a keywordMatchScorePercentage so you can rank and filter results by relevance without reading every description manually.