Glassdoor Scraper - Company Reviews & Salaries

Scrapes company reviews and salary data from Glassdoor. Extracts review text, ratings (overall and sub-ratings for work-life balance, culture, compensation, etc.), pros, cons, job titles, dates, and helpful counts. Optionally collects salary ranges, medians, and sample sizes by job title.

Input

Parameter	Type	Default	Description
companyUrl	string		Glassdoor company URL (overview, reviews, or salary page). One of companyUrl or companyName is required.
companyName	string		Company name to search for. Used only if companyUrl is not provided.
maxReviews	integer	20	Maximum number of reviews to scrape (1-5000).
includeSalaries	boolean	true	Also collect salary aggregates for up to 5 popular job titles.

Output

The actor produces two record types in the same dataset (views reviews and salaries).

Reviews

• type: "review"
• reviewId: Glassdoor review ID (unique per item, no duplicates)
• companyName: company name
• reviewTitle: review headline
• text: combined review text (pros and cons)
• pros, cons, advice: separated fields (advice = advice to management, may be null)
• ratingOverall: 1-5 overall rating
• ratingWorkLifeBalance, ratingCultureValues, ratingDiversityInclusion, ratingSeniorManagement, ratingCareerOpportunities, ratingCompensationBenefits: 1-5 sub-ratings (null when not rated)
• recommendToFriend, ceoApproval, businessOutlook: POSITIVE / NEGATIVE / NEUTRAL / NO_OPINION or null
• jobTitle, location, employmentStatus, isCurrentJob: reviewer details as published
• date: ISO date (YYYY-MM-DD)
• helpfulCount: number of users who found the review helpful
• authorPseudonymized: Glassdoor reviews are anonymous, so this is null
• url: review listing the review was read from

Salaries

One record per popular job title (up to 5), from Glassdoor's job-title salary pages:

• type: "salary"
• companyName, jobTitle
• salaryMin, salaryMax: 25th and 75th percentile of total pay (Glassdoor's "most likely range")
• salaryMedian: typical total pay shown by Glassdoor
• currency, payPeriod (ANNUAL, HOURLY or MONTHLY)
• location: "United States" (glassdoor.com salary pages are US-wide)
• sampleSize: number of salaries submitted for the title
• url: source URL

How it works

The actor reads the public review and salary pages that Glassdoor shows to signed-out visitors, through Apify Proxy (residential, United States). If a request is blocked or rate-limited, it retries with a new proxy session. It never solves captchas and never logs in to a Glassdoor account.

Pricing

Pay-per-event, no start fee: $2.30 per 1,000 reviews and $2.30 per 1,000 salary aggregates (up to 5 job titles per company) on the Apify Free plan, with lower prices on paid plans.

Event	Free	Starter	Scale	Business	Enterprise
Review (REVIEW)	$2.30	$2.30	$2.30	$2.30	$2.30
Salary aggregate (SALARY)	$2.30	$2.30	$2.30	$2.30	$2.30

Prices in USD per 1,000 events.

Cost examples (Free plan)

Scenario	Reviews	Cost
Quick look	10	$0.023
Company deep dive	100	$0.23
Several companies	1,000	$2.30

Limitations

• Glassdoor shows anonymous visitors only the first page (3 reviews) of each review listing; page 2 and later require signing in. The actor collects more reviews by reading other public listings of the same company (most recent, highest and lowest rated, popular job titles, locations, other languages) and removes duplicates. The number of reviews per company is therefore capped (3 per listing, about 200 listings for large employers such as Google or Microsoft, fewer for small ones, minus duplicates), even if maxReviews is higher; the run's status message says when the public listings were exhausted.
• The company-wide salary overview page is challenged for anonymous visitors; salaries come from the job-title salary pages instead (aggregates, not individual salary reports).
• Every page goes through a residential proxy; Glassdoor pages are large (about 0.9 MB uncompressed each).
• Glassdoor changes its site often; the page data format (Next.js server components payload) may change.

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