Glassdoor Scraper - Reviews, Salaries, Interviews & Jobs

What is Glassdoor Scraper?

Glassdoor Scraper is a tool that lets you scrape employee reviews, company ratings, salaries, interview questions and job listings from Glassdoor: pros and cons, star and sub-ratings, employer responses, CEO approval, pay ranges per job title, interview difficulty and questions, and jobs with pay and full descriptions. Add a company name or a Glassdoor link, click Start, and download the data as Excel, CSV or JSON.

• ⚡ Fast: 30,000 Google reviews in under a minute, 10,000 reviews from two companies in about 15 seconds (our tests)
• 📚 Every review, not just the first page: reviews from all employment types (full-time, part-time, contract, intern and more) back to the company's first review
• 🔗 Names, links or IDs: "Google", any Glassdoor company link from any tab or country site, or an employer ID
• 🔓 No login: no Glassdoor account needed, no "sign in to keep reading" limit
• 💸 Free to try: the $5 of free usage every Apify account gets each month covers about 10,000 reviews

What can Glassdoor Scraper do?

• Scrape Glassdoor reviews by company: every review with pros, cons, ratings and the company's responses
• Scrape Glassdoor company profiles: overall rating, six sub-ratings, CEO approval, recommend-to-a-friend and business-outlook shares, size, industry, revenue, headquarters, founding year, website, competitors
• Scrape Glassdoor salaries for every job title at a company: pay range, median total, base and additional pay, percentiles, number of salaries reported, in any city, state or country
• Scrape Glassdoor interview questions and interview reports: difficulty, experience, outcome, how the candidate got the interview, the process and the questions asked
• Scrape Glassdoor jobs by keyword and location, or every open job of a company, with pay ranges and full descriptions
• Filter Glassdoor reviews by language and current employees, and sort them by date or rating
• Filter Glassdoor jobs by posting date, remote and Easy Apply
• Export to Excel, CSV, JSON, HTML or XML, or send the data to Google Sheets, Make, Zapier and more

What data can you extract from Glassdoor?

⭐ Review rating and title	👍 Pros	👎 Cons
💡 Advice to management	💼 Reviewer's job title	📍 Location
🧾 Employment status, current or former	📅 Review date	📊 Six sub-ratings
✅ Recommends, CEO approval, business outlook	🙋 Helpful votes	💬 Employer responses
🏢 Company size, industry, revenue	🏙️ Headquarters, founded, website	👔 CEO and CEO approval %
💰 Salary range and median	💵 Base and additional pay	📈 Pay percentiles
🎤 Interview difficulty and outcome	❓ Interview questions	🗒️ Interview process
🧑‍💻 Job title and company	💲 Job pay range	📝 Full job description

How to scrape Glassdoor

1. Create a free Apify account (no credit card needed).
2. Open Glassdoor Scraper.
3. Pick what to scrape: Reviews, Company overview, Salaries, Interviews or Jobs.
4. Enter company names, Glassdoor company links or employer IDs, one per line. For jobs you can also enter search keywords and a location.
5. Click Start, then download the data as Excel, CSV, JSON, HTML or XML.

How much does it cost to scrape Glassdoor reviews, salaries and jobs?

You pay only for the rows you get, with one price per kind of row:

Apify plan	Reviews per 1,000	Company overviews per 1,000	Interviews per 1,000	Jobs per 1,000	Salaries per 1,000
Free	$0.50	$3.00	$0.50	$0.35	$0.50
Starter (Bronze)	$0.45	$2.70	$0.45	$0.32	$0.45
Scale (Silver)	$0.38	$2.40	$0.38	$0.28	$0.38
Business (Gold) and higher	$0.30	$2.00	$0.30	$0.25	$0.30

Platform usage is included in these prices, so you pay nothing else. For example, 1,000 reviews cost $0.50 on the Free plan and $0.30 on Business, and 100 company overviews cost $0.30 on the Free plan. Max results per company or search keeps the cost of a run under control, and you can also set a maximum cost per run.

Every Apify account gets $5 of free usage each month. See the Pricing tab for details.

⬇️ Input

Setting	What it does
What to scrape	Reviews, Company overview, Salaries, Interviews or Jobs (one per run)
Companies	Company names (Google), Glassdoor company links from any tab or country site (https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm) or employer IDs (9079)
Job search keywords	For Jobs: job titles or skills, each its own search (data analyst)
Location	For Jobs and Salaries: a city, state or country (New York, Texas, United Kingdom). Empty means the United States
Max results per company or search	How many reviews, salaries, interviews or jobs to save for each company or keyword (default 100). Set 0 for all of them
Sort reviews by	Most recent, oldest first, highest or lowest rating, most relevant
Review language	English, Spanish, Portuguese, French, German, Italian or Dutch reviews
Current employees only	Keep only reviews by people who still work at the company
Pay period	Salaries per year or per hour
Include full job descriptions	Adds each job's full description (on by default)
Posted within (days), Remote jobs only, Easy Apply jobs only	Job filters

All reviews of two companies:

{
  "dataType": "reviews",
  "companies": ["Google", "https://www.glassdoor.com/Reviews/Starbucks-Reviews-E2202.htm"],
  "maxItems": 0
}

Salaries at a company in one city:

{
  "dataType": "salaries",
  "companies": ["Google"],
  "location": "New York",
  "maxItems": 500
}

Data analyst jobs in New York posted in the last week:

{
  "dataType": "jobs",
  "searchKeywords": ["data analyst"],
  "location": "New York",
  "postedWithinDays": 7,
  "maxItems": 300
}

⬆️ Output

Every review, company, salary, interview or job is one row, and the type field says which. Every row also has companyName, title, rating, date, location and url, the columns of the Overview tab. A review:

{
  "type": "review",
  "companyId": 2202,
  "companyName": "Starbucks",
  "title": "Great coworkers, but difficult hours and low pay",
  "rating": 3.0,
  "date": "2026-09-30T12:39:26",
  "location": "Manalapan, NJ",
  "url": "https://www.glassdoor.com/Reviews/Employee-Review-Starbucks-E2202-RVW105800982.htm",
  "reviewId": 105800982,
  "pros": "The people I worked with were amazing and that is what gave me a positive experience. My coworkers and supervisors were for the most part wonderful.",
  "cons": "The hours were difficult, some weeks I would get put on the schedule 20 hours a week (I was a fulltime highschool student), some I'd only have 8. The rules about clothing and nails were really strict. The pay was not great ($13.10/hour) for the amount of work we did, as we were the busiest in the district.",
  "adviceToManagement": null,
  "jobTitle": "Barista",
  "isCurrentEmployee": false,
  "employmentStatus": "Part-time",
  "yearsAtCompany": 2,
  "recommendsCompany": null,
  "ceoApproval": null,
  "businessOutlook": null,
  "workLifeBalanceRating": 3.0,
  "cultureAndValuesRating": 3.0,
  "diversityAndInclusionRating": 3.0,
  "careerOpportunitiesRating": 2.0,
  "compensationAndBenefitsRating": 2.0,
  "seniorManagementRating": 2.0,
  "helpfulCount": 0,
  "notHelpfulCount": 0,
  "employerResponses": [
    {
      "text": "Thank you for sharing your feedback. We value your input and will take it into consideration as we strive to grow and provide the best experience for our partners.",
      "date": "2026-10-01T07:18:46"
    }
  ],
  "source": "Starbucks",
  "scrapedAt": "2026-10-01T16:49:27Z"
}

A company overview:

{
  "type": "company",
  "companyId": 9079,
  "companyName": "Google",
  "title": "Google Inc.",
  "rating": 4.4,
  "location": "Mountain View, CA",
  "url": "https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm",
  "website": "https://goo.gle/4ehVuXi",
  "headquarters": "Mountain View, CA",
  "size": "10000+ Employees",
  "foundedYear": 1998,
  "revenue": "$10+ billion (USD)",
  "companyType": "Company - Public",
  "stockTicker": "GOOG",
  "industry": "Internet & Web Services",
  "sector": "Information Technology",
  "mission": "Organize the world’s information and make it universally accessible and useful.",
  "ceoName": "Sundar Pichai",
  "ceoApprovalPercent": 84,
  "recommendToFriendPercent": 87,
  "businessOutlookPercent": 83,
  "overallRating": 4.4,
  "workLifeBalanceRating": 4.2,
  "cultureAndValuesRating": 4.2,
  "diversityAndInclusionRating": 4.4,
  "careerOpportunitiesRating": 4.2,
  "compensationAndBenefitsRating": 4.5,
  "seniorManagementRating": 3.9,
  "reviewCount": 71308,
  "salaryCount": 192394,
  "competitors": ["Microsoft", "Apple", "Meta"]
}

A salary (one job title):

{
  "type": "salary",
  "companyName": "Google",
  "title": "Software Engineer",
  "date": "2026-09-21T15:01:15",
  "location": "New York, NY",
  "jobTitle": "Software Engineer",
  "salaryCount": 5469,
  "currency": "USD",
  "payPeriod": "Annual",
  "payRangeLow": 244980,
  "payRangeHigh": 386076,
  "medianTotalPay": 303783,
  "medianBasePay": 182137,
  "medianAdditionalPay": 121646,
  "totalPayPercentiles": {"p10": 202569, "p25": 244980, "p50": 303783, "p75": 386076, "p90": 473903},
  "basePayPercentiles": {"p10": 132014, "p25": 153745, "p50": 182137, "p75": 215771, "p90": 251289}
}

An interview has jobTitle, experience (Positive, Neutral, Negative), difficulty (Very easy to Very difficult), outcome (Accepted offer, Declined offer, No offer), howObtained, durationDays, process, questions and employerResponses.

A job:

{
  "type": "job",
  "companyId": 35,
  "companyName": "American Express",
  "title": "Analyst-Control Mgmt",
  "rating": 4.1,
  "date": "2026-09-29",
  "location": "New York, NY",
  "url": "https://www.glassdoor.com/job-listing/analyst-control-mgmt-american-express-JV_IC1132348_KO0,20_KE21,37.htm?jl=1010277495276",
  "jobId": 1010277495276,
  "postedDaysAgo": 2,
  "salaryMin": 65500,
  "salaryMedian": 84000,
  "salaryMax": 102500,
  "salaryCurrency": "USD",
  "salaryPeriod": "Annual",
  "salarySource": "Employer provided",
  "easyApply": false,
  "occupation": "management analyst",
  "description": "Credit & Fraud Risk (CFR) manages the risk strategies across all markets and portfolios...",
  "descriptionHtml": "<div><p>Credit &amp; Fraud Risk (CFR) manages the risk strategies..."
}

The run report lists any company that does not exist on Glassdoor or matches no company.

How can I use Glassdoor data?

• Employer branding: track what employees say about your company and how ratings move over time
• Competitor research: compare ratings, culture, pay and interview processes across companies
• HR and compensation benchmarking: salary ranges and pay mix per job title and city
• Interview preparation: collect real interview questions for a role at a company
• Sentiment analysis and AI datasets: pros and cons text with ratings, ready for analysis
• Job market research and lead generation: who is hiring, where, for which roles and at what pay
• Investment research: employee sentiment, CEO approval and business outlook as signals

How many results can I get?

• Reviews: all reviews of a company in the language you choose, from every employment type.
• Salaries: every job title with reported pay at the company, in the location you choose.
• Interviews: up to 20,000 interview reports per company (the newest 10,000 and the oldest 10,000; 20,000 of Google's 26,000 in our tests); companies with fewer are read in full.
• Jobs: a single search returns up to several hundred unique jobs; add more keywords or locations to collect more. A job that appears twice is saved once.

Scrape more jobs and company data

Actor	What it gets
LinkedIn Jobs Scraper	LinkedIn job listings with salaries, company info and descriptions
HiringCafe Jobs Scraper	Job listings with salary ranges, skills, apply links and company details
Trustpilot Reviews Scraper - Ratings, Replies & Company Data	Customer reviews, company replies and TrustScore for any company
LinkedIn Company Employees Scraper + Emails (No Login)	A company's employees with name, headline, location and profile link
LinkedIn Profile Scraper + Email Finder (No Login)	Profiles with job titles, experience, education and followers

❓FAQ

How much does it cost to scrape Glassdoor?

Reviews cost $0.50 per 1,000 on the Free plan, with lower prices on paid plans and separate prices for company overviews, interviews, jobs and salaries. See How much does it cost to scrape Glassdoor reviews, salaries and jobs? above.

How many Glassdoor reviews can I scrape?

All of a company's reviews in the language you choose, from every employment type. Salaries cover every job title with reported pay in your location, interviews up to 20,000 reports per company, and one job search up to several hundred unique jobs. See How many results can I get? above for details.

Do I need a Glassdoor account?

No. You get the same public reviews, salaries, interviews and jobs, without signing in and without the "sign in to keep reading" limit.

How do I find a company's Glassdoor ID?

You do not need it: a company name works. If a name is ambiguous, paste the company's Glassdoor link instead; the number after -E in the link (Google-Reviews-E9079.htm) is the employer ID.

Can I scrape reviews in other languages?

Yes: pick Spanish, Portuguese, French, German, Italian or Dutch under Review language.

What happens with a wrong company name?

The run goes on with the other companies, and the run report lists the names that match no Glassdoor company. A link that is not a Glassdoor company page is named in the error message before the run starts.

Can I call it as an API?

Yes. Run it through the Apify API from any language, or use its real-time API, /company?company=Google&dataType=reviews and /jobs?keyword=data analyst&location=New York, which answers with the rows directly.

Can I connect Glassdoor Scraper to other tools or AI agents?

Yes. Start runs and download results with the Apify API or the Python and JavaScript clients, send results to Make, Zapier, n8n, Google Sheets or Slack with Apify integrations and webhooks, or let AI assistants and agents run it through the Apify MCP server at mcp.apify.com.

Is it legal to scrape Glassdoor?

This scraper only collects data that is public on Glassdoor: anonymous reviews, company profiles, salary reports, interview reports and job listings. It does not collect private data such as email addresses or account details. Some fields, such as a CEO's name or text people wrote, can still contain personal data, which may be protected by laws such as GDPR, so only scrape it for a legitimate reason and ask a lawyer if you are unsure. You can read more in Is web scraping legal?

Glassdoor Scraper is an independent tool. It is not affiliated with, endorsed by or sponsored by Glassdoor.

Something isn't working?

Open the Issues tab and tell us your input and what you expected. We read every issue and usually reply within a day.

⭐ Your feedback

Have an idea or found a problem? Tell us on the Issues tab. If Glassdoor Scraper saved you time, a short review on the Reviews tab helps other people find it.