Glassdoor Reviews Scraper - Most Comprehensive
Pricing
from $0.05 / 1,000 reviews
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
Actor stats
3
Bookmarked
72
Total users
26
Monthly active users
9.1 days
Issues response
2 months ago
Last modified
Categories
Share
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
| Parameter | Type | Default | Description |
|---|---|---|---|
| urls | string[] | required | Glassdoor company reviews URLs (e.g. glassdoor.com/Reviews/Google-Reviews-E9079.htm) |
| maxReviews | number | 20 | Max reviews per company. Set to 0 for no limit (all reviews). |
| sort | select | DATE | DATE (newest first) or RATING (highest rated first) |
| includeCompanyData | boolean | true | Fetch 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
maxReviewsis per company, not total across all URLs- Some fields may be null for older reviews
- Reviews in all languages are collected; use the
translation.languageIdfield to filter by language - Benefits data defaults to US; other countries available in
benefitCountries
