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⇱ Glassdoor Reviews Scraper - Most Comprehensive · Apify


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Glassdoor Reviews Scraper - Most Comprehensive

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from $0.05 / 1,000 reviews

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Glassdoor Reviews Scraper - Most Comprehensive

🔥 ~$0.05/1K reviews 🔥 Extract structured company review data from Glassdoor. Get ratings, pros/cons, employment details, translation data, and employer responses, all in one scrape.

Pricing

from $0.05 / 1,000 reviews

Rating

0.0

(0)

Developer

👁 Kai

Kai

Maintained by Community

Actor stats

3

Bookmarked

72

Total users

26

Monthly active users

9.1 days

Issues response

2 months ago

Last modified

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Glassdoor Reviews Scraper

Scrape every review from any Glassdoor company page. ~10,000 reviews per minute. Structured JSON output with 10 rating categories, employment details, translations, and employer responses. Collects reviews in all languages.

Optionally fetches comprehensive company data: profile, aggregate ratings, demographic breakdowns, office locations, benefits, photos, and more.

Just paste a Glassdoor company reviews URL and hit Run.

What you get

Reviews

Every review includes:

  • Review text: summary, pros, cons, advice to management
  • 10 ratings: overall, work-life balance, culture, leadership, compensation, career opportunities, diversity, CEO approval, business outlook, recommend to friend
  • Employment: current/former, job title, tenure, employment status
  • Location: city and region
  • Engagement: helpful votes, featured status
  • Translations: original text for non-English reviews
  • Employer responses: company replies with job title and timestamps
  • Meta: review detail URL, division info, language mismatch flag

Company data

One consolidated object per employer with:

  • Profile: name, headquarters, revenue, size, website, type, year founded, industry/sector, logos, CEO
  • Aggregate ratings: overall + 11 sub-ratings with CEO approval and recommend-to-friend ratios
  • Rating distributions: star breakdown (1-5) for 7 categories + recommend distribution
  • Demographic ratings: ratings broken down by gender, race/ethnicity, sexual orientation, disability, parent/caregiver, veteran status
  • Review locations: flat list of all cities/metros where reviews were submitted, with state and country
  • Office locations: full addresses with postal codes, country/continent, and per-office overall rating
  • Benefits: 50+ individual benefits with category, rating, review count, and verified status
  • Photos: company photos with captions
  • Related companies: parent, subsidiaries, siblings with ratings and counts
  • Awards: best places to work, best-led companies

Quick start

Paste a Glassdoor company reviews URL:

{
"urls":["https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"]
}

That's it. Default: 20 most recent reviews + full company data.

More examples

Multiple companies (200 reviews each):

{
"urls":[
"https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm",
"https://www.glassdoor.com/Reviews/Meta-Reviews-E40772.htm"
],
"maxReviews":200
}

Reviews only (skip company data):

{
"urls":["https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"],
"includeCompanyData":false
}

All reviews for a company:

{
"urls":["https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"],
"maxReviews":0
}

Input

ParameterTypeDefaultDescription
urlsstring[]requiredGlassdoor company reviews URLs (e.g. glassdoor.com/Reviews/Google-Reviews-E9079.htm)
maxReviewsnumber20Max reviews per company. Set to 0 for no limit (all reviews).
sortselectDATEDATE (newest first) or RATING (highest rated first)
includeCompanyDatabooleantrueFetch company profile, ratings, demographics, locations, benefits, photos

Output

Reviews dataset (default)

Each review is a single JSON object:

{
"reviewId":103260164,
"url":"https://www.glassdoor.com/Reviews/Employee-Review-Nucor-RVW103260164.htm",
"reviewDateTime":"2026-03-21T23:47:58.430",
"summary":"Not a good company",
"pros":"Good benefits and pay",
"cons":"Long hours, limited growth",
"advice":"Improve work-life balance",
"ratings":{
"overall":4,
"workLifeBalance":3,
"cultureAndValues":4,
"seniorLeadership":3,
"compensationAndBenefits":5,
"careerOpportunities":4,
"diversityAndInclusion":4,
"ceo":"APPROVE",
"businessOutlook":"POSITIVE",
"recommendToFriend":"POSITIVE"
},
"employment":{
"isCurrentJob":true,
"status":"REGULAR",
"lengthOfEmployment":36,
"jobEndingYear":null,
"jobTitle":{"id":61331,"text":"Software Engineer"}
},
"location":{"id":1127429,"name":"Birmingham, AL","type":"CITY"},
"engagement":{"countHelpful":10,"countNotHelpful":2,"featured":false},
"translation":{
"languageId":"eng",
"originalLanguageId":null,
"summaryOriginal":null,
"prosOriginal":null,
"consOriginal":null,
"adviceOriginal":null
},
"hasEmployerResponse":false,
"employer":{"id":489,"shortName":"Nucor","name":"Nucor Corporation"},
"employerResponses":[],
"meta":{
"isLegal":true,
"isCovid19":false,
"translationMethod":null,
"flaggingDisabled":null,
"relatedStructures":[],
"isLanguageMismatch":false,
"reviewDetailUrl":"/Reviews/Employee-Review--RVW103260164.htm",
"divisionName":null,
"divisionLink":null,
"topLevelDomainId":1,
"scrapedAt":"2026-03-30T10:00:00.000Z"
}
}

Company dataset (COMPANY)

One object per employer. Available via the named dataset COMPANY in Apify console or API.

{
"id":489,
"name":"Nucor Corporation",
"shortName":"Nucor",
"headquarters":"Charlotte, NC",
"revenue":"$10+ billion (USD)",
"size":"10000+ Employees",
"sizeCategory":"GIANT",
"website":"www.nucor.com",
"type":"Company - Public",
"yearFounded":1971,
"primaryIndustry":{
"industryId":200074,
"industryName":"Metal & Mineral Manufacturing",
"sectorId":10015,
"sectorName":"Manufacturing"
},
"overview":{
"description":"Nucor continues to electrify the steel industry...",
"mission":"Our challenge is to become the world's safest steel company..."
},
"ceo":{"id":942368,"name":"Leon Topalian","title":"CEO"},
"ratings":{
"overallRating":4,
"ceoRating":0.91,
"ceoRatingsCount":275,
"recommendToFriendRating":0.8,
"businessOutlookRating":0.77,
"cultureAndValuesRating":3.9,
"careerOpportunitiesRating":3.8,
"workLifeBalanceRating":3.2,
"seniorManagementRating":3.6,
"compensationAndBenefitsRating":4,
"diversityAndInclusionRating":3.7,
"ratedCeo":{"id":942368,"name":"Leon Topalian","title":"CEO"}
},
"ratingCountDistribution":{
"overall":{"1":48,"2":59,"3":128,"4":218,"5":397},
"cultureAndValues":{"1":52,"2":49,"3":79,"4":137,"5":358},
"recommendToFriend":{"RECOMMEND":494,"WONT_RECOMMEND":133}
},
"demographicRatings":[
{
"category":"gender",
"categoryRatings":[
{"categoryValue":"man","ratings":{"overallRating":3.9,"reviewCount":141}},
{"categoryValue":"woman","ratings":{"overallRating":3.9,"reviewCount":34}}
]
}
],
"reviewLocations":[
{"id":93,"name":"Birmingham","type":"METRO","state":"Alabama","country":"United States"}
],
"officeLocations":[
{
"id":1088,
"addressLine1":"701 Bank St Ne",
"cityName":"Decatur",
"administrativeAreaName1":"AL",
"countryName":"US",
"postalCode":"35601-1609",
"employerReviews":{"ratings":{"overallRating":4.3}}
}
],
"benefitsOverallRating":4.2,
"benefitsTotalReviews":166,
"benefits":[
{"category":"Insurance, Health & Wellness","name":"Health Insurance","rating":3.6,"reviewCount":33,"verified":true}
],
"benefitCountries":[
{"id":1,"name":"United States"}
],
"subsidiaries":[
{"employer":{"id":449662,"name":"Harris Rebar","ratings":{"overallRating":3.6}}}
],
"photos":[
{"caption":"At work","photoUrl2x":"https://media.glassdoor.com/..."}
],
"counts":{"reviewCount":850,"salaryCount":1335,"interviewCount":199},
"scrapedAt":"2026-03-30T13:26:34.106Z"
}

Fields truncated for readability. Actual output includes all sub-ratings in demographic breakdowns, all office locations, all benefits, etc.

Performance

  • ~10,000 reviews per minute
  • 1 GB default memory — keeps platform costs low
  • Handles pagination automatically — just set maxReviews
  • Gracefully handles rate limiting — returns whatever was collected
  • Company data adds ~2-3 seconds per employer (6 parallel queries)

Limitations

  • maxReviews is per company, not total across all URLs
  • Some fields may be null for older reviews
  • Reviews in all languages are collected; use the translation.languageId field to filter by language
  • Benefits data defaults to US; other countries available in benefitCountries

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