Glassdoor Scraper — Reviews, Salaries, Culture & Jobs

Pull structured Glassdoor data across eight modes in one run — reviews, salaries, jobs, company overview, benefits, culture & diversity, interviews and office locations — with no built-in 200-review cap, per-review sentiment and theme tagging, salary percentiles and confidence, full company firmographics, and cross-run deduplication for scheduled monitoring. Keyless: no Glassdoor account or cookie required.

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What it does

This Actor turns any Glassdoor company page into clean, analysis-ready rows. Point it at company names, a search query, or direct Glassdoor URLs (any tab, any country domain), pick the modes you want, and it returns one flat record per review, salary, job, office, benefit set, demographic breakdown, interview, or company profile — plus optional analytics computed locally.

It is HTTP-first — no headless browser, no login, no API key. It reads public Glassdoor data and returns it as flat rows, ready for a spreadsheet or a database.

Who it's for

• HR & talent / recruiting — employer-branding monitoring, competitor review tracking, interview-process intel.
• Compensation teams — salary benchmarking with percentiles, confidence and bonus breakdowns.
• Market & competitive research — firmographics, ratings trends, culture and diversity signals.
• Investors & analysts — employee-sentiment and workforce signals as an alternative data source.

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Key features

• 8 modes, mix-and-match — reviews, salaries, jobs, company-overview, benefits, culture (diversity), interviews, locations. Every selected mode runs for every resolved company/URL.
• No 200-review cap. Most Glassdoor scrapers stop at a couple of hundred reviews, or at the handful the logged-out page shows. This one keeps paginating in bulk, deduped by review id, limited only by your maxResults (0 = everything). Salaries and jobs are uncapped too.
• Per-review sentiment + theme extraction — a local lexicon scorer adds sentiment {score, label}, and themes[] tags each review by aspect (compensation, management, workLifeBalance, culture, career, jobSecurity) with polarity. No external AI dependency.
• Salary depth — base-pay and total-comp P10–P90 percentiles, confidence {level, salaryCount}, sample counts, plus (with salaryDetail) additional-pay breakdowns (cash bonus / stock / commission / profit-sharing / tips / total additional pay) and recent salary reports (job title, years of experience, city/state/metro and date — Glassdoor does not publish the amount of an individual report).
• Company firmographics — size, revenue, type, stock symbol, industry + sector, HQ, website, year founded, description, mission, logo, competitors, Best-Places-to-Work awards, certifications, office addresses, and CEO approval — a full company profile in one row.
• Employer scorecard roll-up — one cross-mode summary row per company: overall rating, average review sentiment, review volume, median base salary, recommend/CEO/outlook %, and a recent-review churn signal.
• Cross-run dedup + monitoring on ALL modes — dedupKey on every record; persist seen keys in a named key-value store to avoid re-billing/duplication across scheduled runs; monitoringMode emits only records unseen since the last run (new-review / new-job alerts).
• Company contact emails — optionally collect the company's role-based addresses (info@, hr@, careers@ …) from its own website and check the domain accepts mail (enrichEmails). Personal mailboxes are never collected. Note that large corporations usually publish a contact form instead of an address, so this field is most useful for small and mid-sized employers.
• Keyless & resilient — no account or API key needed; blocked requests are retried automatically on a fresh connection.

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Input

Set mode (required) and at least one target (companyNames, companySearchQuery, or startUrls). All other fields are optional filters/toggles.

Parameters

Field	Type	Default	Description
mode	array (multiselect)	["reviews"]	Any of reviews, salaries, company-overview, interviews, jobs, benefits, culture, locations.
Targeting
companyNames	array	—	Company names resolved to Glassdoor employers via search (e.g. ["Google","Netflix"]).
startUrls	array	—	Direct Glassdoor URLs (any tab / country domain); employer id E12345 auto-extracted.
companySearchQuery	string	—	Free-text company search; resolves the top matching employer(s).
searchDomain	string	www.glassdoor.com	Glassdoor domain/TLD (e.g. www.glassdoor.co.uk, www.glassdoor.ca).
minCompanyRating	integer	0	Skip companies below this overall rating (1–5). 0 = no filter.
companySize	string	—	Optional company-size filter label (informational / jobs search).
industryId	integer	—	Glassdoor industry id filter (jobs / search).
sectorId	integer	—	Glassdoor sector id filter (jobs / search).
Jobs filters
searchKeyword	string	—	Jobs keyword to search.
searchLocation	string	—	Jobs location text.
radius	integer	—	Jobs search radius (miles).
matchKeywordInTitle	boolean	false	Only keep jobs whose title contains the keyword.
jobType	enum	""	fulltime / parttime / contract / internship / temporary.
maxDaysOld	integer	0	Only jobs posted within N days. 0 = any.
remoteWorkType	enum	""	onsite / remote / hybrid.
easyApplyOnly	boolean	false	Only Easy Apply jobs.
minSalary / maxSalary	integer	—	Jobs salary bounds.
sortBy	enum	date	relevance / date.
resumeKeywords	array	—	Skills to compute a per-job matchScore + matchedSkills.
Reviews filters
minRating	integer	0	Keep reviews with overall rating ≥ this (1–5). 0 = no filter.
reviewJobTitle	string	—	Filter reviews by job title.
reviewLocation	string	—	Filter reviews by location.
reviewsStartDate	string	—	Keep reviews on/after YYYY-MM-DD or relative (30 days).
employmentStatus	enum	any	current / former / any.
languageId	string	eng	ISO language code or all.
includeAllReviews	boolean	false	Pull reviews in every language (overrides languageId).
includeCompanyReviewStats	boolean	false	Attach reviewStats (rating histogram, aggregate ratings, numberOfPages) to company-overview.
includeCompanyInterviewStats	boolean	false	Emit one interview-stats record per company (difficulty mean, experience & channel distributions).
sortReviewsBy	enum	DATE	DATE (most recent) / RELEVANCE.
keywordFilter	string	—	Keep reviews whose pros/cons/summary contain this keyword.
Salary filters
salaryJobTitle	string	—	Restrict salaries to a job title.
salaryLocation	string	—	Salary location scope.
seniority	string	—	Seniority scope.
currency	string	—	Preferred currency.
salaryDetail	boolean	true	Fetch per-title detail page for bonus breakdown + individual submissions (1 request/row).
maxSalaryDetail	integer	50	Cap on how many salary rows get detail enrichment.
Company-overview enrichment
enrichEmails	boolean	false	Harvest + MX-verify business contact emails from the company website.
Volume, dedup & proxy
maxResults	integer	100	Records per company per mode. 0 = all (no cap).
startPage	integer	1	First results page (1-based); window large pulls with maxResults.
deduplicate	boolean	true	Drop records whose dedupKey was already produced.
deduplicateKeyStore	string	—	Named key-value store to persist seen keys across runs.
monitoringMode	boolean	false	Output only records unseen since the previous run (requires deduplicateKeyStore).
maxChallengeRetries	integer	3	How many times to retry a blocked request before giving up on it.
proxy	object	—	Proxy configuration. Leave the default.
Analytics
reviewSentiment	boolean	true	Add sentiment {score, label} to each review.
themeExtraction	boolean	true	Add aspect themes[] with polarity to each review.
salaryPercentiles	boolean	true	Add derivedPercentiles (p10/p25/p50/p75/p90/mean) to salary rows.
employerScorecard	boolean	false	Emit one cross-mode roll-up row per company.

Input examples

Reviews in bulk (uncapped, English, most recent) with analytics

{
  "mode": ["reviews"],
  "companyNames": ["Google"],
  "sortReviewsBy": "DATE",
  "languageId": "eng",
  "maxResults": 0,
  "reviewSentiment": true,
  "themeExtraction": true
}

Salary benchmarking for a role, with bonus breakdown + individual submissions

{
  "mode": ["salaries"],
  "companyNames": ["Google"],
  "salaryJobTitle": "Software Engineer",
  "salaryLocation": "United States",
  "salaryDetail": true,
  "maxSalaryDetail": 50,
  "salaryPercentiles": true
}

Company overview + locations + benefits, with review stats and email enrichment

{
  "mode": ["company-overview", "locations", "benefits"],
  "companyNames": ["Netflix"],
  "includeCompanyReviewStats": true,
  "enrichEmails": true
}

Scheduled monitoring — only new reviews since last run

{
  "mode": ["reviews"],
  "startUrls": [{ "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm" }],
  "deduplicate": true,
  "deduplicateKeyStore": "glassdoor-google-seen",
  "monitoringMode": true
}

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Output

One flat row per record. Every record carries a recordType (review / salary / company-overview / job / benefits / culture / location / interview / interview-stats / employer-scorecard), a natural dedupKey, and a scrapedAt timestamp. A RUN_SUMMARY (counts by mode, blocked targets) is written to the run's key-value store.

The samples below are trimmed for readability; field names are exactly as emitted.

review

{
  "recordType": "review",
  "reviewId": 78412034,
  "employerId": 9079,
  "companyName": "Google",
  "company": { "id": 9079, "name": "Google", "logo": "https://media.glassdoor.com/sql/9079/google-squareLogo.png" },
  "ratingOverall": 5,
  "subratings": {
    "workLifeBalance": 4,
    "cultureAndValues": 5,
    "seniorManagement": 4,
    "compensationAndBenefits": 5,
    "careerOpportunities": 5,
    "diversityAndInclusion": 5,
    "ceoApproval": 1,
    "businessOutlook": 1,
    "recommendToFriend": 1
  },
  "summary": "Great place to grow",
  "pros": "Smart people, strong benefits and real work-life balance.",
  "cons": "Can be bureaucratic; promotions are slow.",
  "adviceToMgmt": "Keep investing in career growth.",
  "jobTitle": "Software Engineer",
  "location": { "name": "Mountain View, CA", "type": "CITY" },
  "employmentStatus": "current",
  "rawEmploymentStatus": "REGULAR",
  "isCurrentJob": true,
  "tenureYears": 3,
  "reviewDate": "2026-08-14T00:00:00.000",
  "language": "eng",
  "countHelpful": 12,
  "countNotHelpful": 0,
  "employerResponses": [],
  "employerResponse": null,
  "originalLanguageId": "eng",
  "demographicRatings": null,
  "featured": false,
  "companyReviewsUrl": "https://www.glassdoor.com/Reviews/Employer-Reviews-E9079.htm",
  "sentiment": { "score": 0.72, "label": "positive" },
  "themes": [
    { "theme": "compensation", "polarity": "positive", "mentions": 2 },
    { "theme": "career", "polarity": "mixed", "mentions": 2 }
  ],
  "dedupKey": "review:78412034",
  "scrapedAt": "2026-09-02T12:00:00.000Z"
}

employerResponses[] is the full array of employer replies (text, responseDateTime, responderName, responderTitle); employerResponse is the first reply for back-compat.

salary

{
  "recordType": "salary",
  "employerId": 9079,
  "companyName": "Google",
  "jobTitle": "Software Engineer",
  "jobTitleId": 1072,
  "basePay": {
    "p10": 145000, "p25": 165000, "p50": 190000, "p75": 220000, "p90": 255000,
    "derivedPercentiles": { "p10": 145000, "p25": 165000, "p50": 190000, "p75": 220000, "p90": 255000, "mean": 195000, "count": 5 }
  },
  "totalComp": { "p10": 180000, "p25": 210000, "p50": 260000, "p75": 320000, "p90": 400000 },
  "currency": "USD",
  "payPeriod": "ANNUAL",
  "location": "United States",
  "seniority": "All years of experience",
  "sampleCount": 4213,
  "confidence": { "level": "HIGH", "salaryCount": 4213 },
  "mostRecent": "2026-08-01",
  "cashBonusStatistics": { "p25": 12000, "median": 22000, "p75": 38000 },
  "stockBonusStatistics": { "p25": 30000, "median": 65000, "p75": 120000 },
  "profitSharingStatistics": null,
  "salesCommissionStatistics": null,
  "tipsStatistics": null,
  "totalAdditionalPayStatistics": { "p25": 42000, "median": 87000, "p75": 158000 },
  "individualSalariesForGoc": [
    {
      "jobTitle": "Senior Software Engineer", "yearsOfExperience": "7-9 years",
      "city": "Los Angeles, CA", "state": "California", "metro": "Los Angeles, CA",
      "country": "United States", "reportedOn": "2026-08-20"
    }
  ],
  "relatedJobTitles": [
    { "jobTitle": "Senior Software Engineer", "url": "https://www.glassdoor.com/Salary/Google-Senior-Software-Engineer-Salaries-E9079.htm" }
  ],
  "source": "GLASSDOOR_ESTIMATE",
  "dedupKey": "salary:9079:1072",
  "scrapedAt": "2026-09-02T12:00:00.000Z"
}

The additional-pay blocks (cashBonusStatistics, stockBonusStatistics, …), the salary reports, relatedJobTitles[] and availableCountries[] populate only when salaryDetail is on and within maxSalaryDetail; they are null/[] otherwise. A bonus block is null when Glassdoor publishes no figure for it — never a misleading zero.

individualSalariesForGoc[] lists the recent salary reports behind the estimate: job title, years of experience, location and date. Glassdoor does not publish the amount of an individual report, so those rows carry no pay figures — the money is in the percentiles above.

company-overview

{
  "recordType": "company-overview",
  "employerId": 9079,
  "name": "Google",
  "shortName": "Google",
  "overallRating": 4.4,
  "subratings": {
    "careerOpportunities": 4.3,
    "compensationAndBenefits": 4.5,
    "cultureAndValues": 4.4,
    "diversityAndInclusion": 4.4,
    "seniorManagement": 3.9,
    "workLifeBalance": 4.2
  },
  "ceoApprovalPercent": 86.0,
  "recommendToFriendPercent": 89.0,
  "businessOutlookPercent": 71.0,
  "ratedCeo": { "name": "Sundar Pichai", "title": "CEO", "photo": "https://media.glassdoor.com/people/sundar-pichai.png" },
  "reviewCount": 54832,
  "size": "10000+ Employees",
  "revenue": "$10+ billion (USD)",
  "type": "Company - Public",
  "stockSymbol": "GOOGL",
  "primaryIndustry": { "industryId": 200063, "industryName": "Internet & Web Services", "sectorId": 10013, "sectorName": "Information Technology" },
  "headquarters": "Mountain View, CA",
  "website": "www.google.com",
  "yearFounded": 1998,
  "description": "Google's mission is to organize the world's information...",
  "mission": "To organize the world's information and make it universally accessible and useful.",
  "squareLogoUrl": "https://media.glassdoor.com/sql/9079/google-squareLogo.png",
  "coverPhoto": null,
  "competitors": ["Meta", "Amazon", "Microsoft"],
  "awards": [ { "name": "Best Places to Work", "rank": 8, "year": "2026", "listType": "BPTW_EMPLOYEES_CHOICE" } ],
  "certifications": [],
  "officeAddresses": [
    { "name": "Googleplex", "addressLine": "1600 Amphitheatre Parkway", "city": "Mountain View", "state": "California", "country": "United States", "postalCode": "94043", "isHeadquarters": true, "latitude": 37.422, "longitude": -122.084 }
  ],
  "parent": null,
  "subsidiaries": [],
  "siblings": [],
  "counts": { "reviews": 54832, "salaries": 68210, "jobs": 4123, "interviews": 13290, "benefits": 1876, "photos": 4501 },
  "url": "https://www.glassdoor.com/Overview/Working-at-E9079.htm",
  "scrapedAt": "2026-09-02T12:00:00.000Z"
}

With includeCompanyReviewStats, a reviewStats object (ratingCountDistribution, ratings, allReviewsCount, filteredReviewsCount, numberOfPages) is attached; with enrichEmails, a contactEmails[] array is added.

Other record types (field lists)

• job — jobId, title, company {id,name,logo}, location {name,type,country}, salaryEst {min,max,currency,period,source}, easyApply, ageInDays, postedDate, jobUrl, and (with resumeKeywords) matchScore + matchedSkills, dedupKey.
• benefits — one record per company: overallBenefitRating, benefitCount, categories[] → {categoryId, categoryName, benefits[] {id, name, rating (0–5), reviewCount, totalComments, verified}}, dedupKey.
• culture — one record per company: demographicRatings keyed by raceEthnicity, gender, sexualOrientation, disability, parentOrCaregiver, veteranStatus; each segment carries overallRating, reviewCount, the six sub-ratings and CEO/recommend/outlook %, dedupKey.
• location — one record per office: name, addressLine, city, state, country, postalCode, locationId, overallRating, latitude, longitude, dedupKey.
• interview — interviewId, difficulty, difficultyLabel, experience, outcome, processDescription, userQuestions[], jobTitle, location, source, date, countHelpful, dedupKey. With includeCompanyInterviewStats, an interview-stats record adds difficulty mean, experience distribution and the "getting an interview" channel breakdown.
• employer-scorecard (employerScorecard) — one roll-up per company: overallRating, recommendToFriendPercent, ceoApprovalPercent, businessOutlookPercent, reviewsAnalyzed, avgReviewSentiment, churnSignal, salaryMedianBase, counts, url.

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Pricing

This Actor is billed pay per event: every record has its own price, because they are not the same size. One culture record holds every demographic breakdown for a company; one job record is a single posting.

Bulk records, price per 1,000:

Record	Per 1,000
Salary report	$15
Review	$9
Interview report	$9
Job posting	$4
Office location	$2

One record per company:

Record	Each
Company profile	$0.05
Culture & diversity	$0.05
Benefits	$0.04
Employer scorecard	$0.02
Interview statistics	$0.01

Plus $0.01 per run when the Actor starts.

What that means in practice:

• 1,000 reviews for one employer — $9
• 500 job postings — $2
• 100 salary reports with percentiles — $1.50
• A company's full profile (overview + culture + benefits + scorecard) — $0.16

Duplicates and empty records are not charged. A record is billed only once it actually reaches the dataset, so scheduled runs with deduplicate + deduplicateKeyStore (and monitoringMode) pay only for genuinely new data. If you set a maximum cost per run, the Actor stops as soon as it is reached and tells you so in the run status.

Glassdoor pages are slow to fetch, so expect a few seconds per request — plan large jobs accordingly. (The authoritative prices are the ones on the Actor's Apify Store page.)

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Use cases

• Employer branding — track your own and competitors' review volume, ratings, sentiment and CEO approval over time; alert on new reviews with monitoringMode.
• Compensation benchmarking — pull role-level base + total-comp percentiles, confidence and bonus/stock breakdowns across peer companies to calibrate offers and pay bands.
• Competitive intelligence — firmographics, interview processes, benefits and culture/diversity ratings for a target set of employers in a single scheduled run.
• Investment / alternative-data research — employee sentiment, churn signal, review trends and workforce ratings as inputs to workforce and company-health models.

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Honest limitations

Everything documented above is returned. Two Glassdoor-side gaps are worth calling out explicitly:

• There is no permanent link to a single review. Glassdoor gives individual reviews no URL of their own, so each row carries companyReviewsUrl — the company's reviews page — rather than a deep link that would not resolve.
• Individual benefit comments are not available. Glassdoor does not publish the free-text comment behind each benefit to logged-out visitors. The benefits mode returns per-benefit aggregates instead: rating (0–5), reviewCount, totalComments (the count) and a verified flag — not the comment text.
• Salary breakdowns by gender or race are not published. Glassdoor keeps those behind its own gate, so demographics is null rather than guessed. Everything else about pay comes through: percentiles, confidence, bonus and stock breakdowns, and individual submissions with years of experience and city.

Glassdoor blocks aggressively, so leave the proxy setting at its default — it is the configuration this Actor is tuned for.

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FAQ

Do I need a Glassdoor account or an API key? No. Reviews, salaries and jobs are all collected without any login.

How does it get past the 200-review cap other scrapers hit? It pages through reviews in bulk rather than reading the handful shown on the public page, deduping by review id. The only limit is your maxResults (0 = everything).

Can I scrape multiple companies at once? Yes — list several in companyNames, pass multiple startUrls, or use companySearchQuery. Each selected mode runs for every resolved company.

Which countries / domains are supported? Set searchDomain to any Glassdoor TLD (e.g. www.glassdoor.co.uk, www.glassdoor.ca). Direct startUrls on any country domain work too — the employer id is extracted automatically.

How do I run incremental/monitoring jobs? Set deduplicate: true with a named deduplicateKeyStore, then enable monitoringMode to emit only records unseen since the previous run — ideal for new-review or new-job alerts.

Is the sentiment/theme analysis AI-based? No external AI. Sentiment is a local lexicon scorer blended with the numeric rating; themes are aspect keyword buckets with polarity. This keeps runs fast and deterministic.

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Legal / ToS

Scrapes public Glassdoor data only. The Actor does not log in and does not bypass authentication. Scraping may violate Glassdoor's Terms of Service; you are responsible for your use and for handling any personal data in line with GDPR/CCPA (provide opt-out on request). Defensible as public-data access (cf. hiQ v. LinkedIn), but this is not legal advice.