Glassdoor Scraper — Jobs, Reviews, Salaries & Interviews

Build a joined view of jobs, employee experience, salaries, interviews, and company fundamentals.

Scrape Glassdoor without login: jobs with salaries, thousands of employee reviews (all 6 sub-ratings, pros/cons, sentiment), salary percentiles, interview questions, and full company profiles. Real logos + visual report.

All examples below use fictional DEMO-* identifiers, reserved .test domains, and masked contact details. They do not represent real people, listings, products, or companies.

🚀 What this Actor does

• Flexible collection: Job discovery, Company reviews, Salary & interview intelligence, Company profile.
• Structured output: clean JSON records organized into overview, jobs, reviews, salaries, interviews, companies views.
• Production-ready: concurrency, retries, proxy support, limits, and source-aware diagnostics are exposed through the Actor input.
• Easy automation: run from the Apify Console, API, schedules, webhooks, Make, Zapier, or any HTTP client.

🎛️ Modes and workflows

Mode or workflow	What it does
Job discovery	Search by keyword and location or provide exact Glassdoor URLs.
Company reviews	Collect pros, cons, sub-ratings, recommendations, replies, and sentiment.
Salary & interview intelligence	Add salary percentiles, interview outcomes, duration, and questions.
Company profile	Return company ratings and business metadata alongside hiring data.

💡 Common use cases

• Employer-brand benchmarking
• Salary and interview research
• Hiring-market and employee-sentiment analysis

📥 Input schema

Configure the Actor in the Input tab or send the same JSON through the API. Fields not needed for your workflow can be omitted.

Field	Type	Description	Default
keywords	array	Job titles or keywords to search on Glassdoor, e.g. "software engineer", "nurse".	—
location	string	Optional location for the job search — city, state, or country (e.g. "New York, NY").	—
startUrls	array	Glassdoor company reviews URLs, e.g. https://www.glassdoor.com/Reviews/Amazon-Reviews-E6036.htm	—
scrapeReviews	boolean	For each company URL, collect employee reviews (ratings, sub-ratings, pros/cons, employer replies).	true
maxReviewsPerCompany	integer	Cap on reviews collected per company URL.	100
reviewSort	string	Ordering for collected reviews. Allowed: relevance, recent, lowest.	relevance
maxJobsPerSearch	integer	Cap on jobs collected per keyword search.	30
scrapeSalaries	boolean	For each company URL, collect salary data by job title (base pay percentiles, count).	false
maxSalariesPerCompany	integer	Cap on salary rows per company URL.	50
scrapeInterviews	boolean	For each company URL, collect interview experiences (difficulty, outcome, questions).	false
maxInterviewsPerCompany	integer	Cap on interview rows per company URL.	50
scrapeCompanyProfile	boolean	For each company URL, add a company profile row (industry, revenue, size, HQ, stock).	false
sentiment	boolean	Add a sentiment score and label to each review.	false
htmlReport	boolean	Build a shareable HTML report (jobs board + employer intelligence: ratings, sub-ratings, sentiment, salaries, pros/cons) saved to the key-value store as 'report'.	true
dedupe	boolean	Save each job/review only once per run.	true
maxItems	integer	Global cap across jobs + reviews. 0 = unlimited.	200
proxyConfiguration	object	Glassdoor requires residential proxies (Cloudflare blocks datacenter). The default is tuned for reliable access.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US"}
maxConcurrency	integer	Sources processed at once.	5
maxRetries	integer	Retries for a failed request.	5
requestTimeoutSecs	integer	Maximum time for one request.	30

▶️ Example input

{
  "keywords": [
    "data analyst"
  ],
  "location": "Berlin",
  "maxJobsPerSearch": 25,
  "scrapeReviews": true,
  "maxReviewsPerCompany": 20,
  "scrapeCompanyProfile": true
}

📦 Output schema

Each successful item is written to the default dataset. Select a dataset view in the Apify Console or export the full dataset as JSON, CSV, Excel, XML, or RSS.

overview — Overview

A compact table for fast scanning and export.

Fields: dataType, companyLogo, company, title, summary, companyRating, ratingOverall, location, salaryMedian, url

jobs — Jobs

Normalized job records.

Fields: companyLogo, title, company, companyRating, location, isRemote, easyApply, salaryMin, salaryMedian, salaryMax, salaryCurrency, ageInDays, url

reviews — Reviews

One record or grouped payload for reviews, depending on the source schema.

Fields: companyLogo, company, ratingOverall, summary, pros, cons, jobTitle, employmentStatus, recommendToFriend, ceoApproval, sentimentLabel, employerReply, reviewDate, url

salaries — Salaries

Structured salaries records for this Actor.

Fields: companyLogo, companyName, jobTitle, baseP10, baseMedian, baseP90, totalMedian, currency, salaryCount, mostRecent

interviews — Interviews

Structured interviews records for this Actor.

Fields: companyLogo, companyName, jobTitle, difficulty, experience, outcome, durationDays, source, location, questions, interviewDate

companies — Companies

Company-level identity, enrichment, and aggregate signals.

Fields: companyLogo, companyName, overallRating, reviewCount, recommendToFriendPercent, ceoApprovalPercent, businessOutlookPercent, cultureAndValuesRating, workLifeBalanceRating, careerOpportunitiesRating, compensationAndBenefitsRating, seniorLeadershipRating, diversityAndInclusionRating, industry, revenue, size, type, stock, headquarters, founded, website

📤 Example output

{
  "title": "Data Analyst",
  "company": "Example Labs",
  "companyRating": 4.2,
  "location": "Berlin",
  "isRemote": true,
  "salaryMin": 55000,
  "salaryMedian": 62500,
  "salaryMax": 70000,
  "salaryCurrency": "EUR",
  "url": "https://www.glassdoor.com/job-listing/DEMO-JOB-01"
}

Missing source values are returned as null, empty arrays, or documented availability/status fields; the Actor does not invent unavailable source data.

🔌 API example

Replace the placeholder with an Apify token and send the same input used in the Console:

curl -X POST "https://api.apify.com/v2/acts/trakk~glassdoor-scraper/runs?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["data analyst"], "location": "Berlin", "maxJobsPerSearch": 25, "scrapeReviews": true, "maxReviewsPerCompany": 20, "scrapeCompanyProfile": true}'

For synchronous integrations, use the run-sync-get-dataset-items API endpoint. For larger jobs, start an asynchronous run and consume its default dataset when the run succeeds.

🧩 Automation and exports

• Schedule recurring runs from the Apify Console.
• Trigger downstream systems with webhooks when a run succeeds or fails.
• Reuse named monitoring keys or stores where the selected workflow supports change tracking.
• Export dataset views to JSON, CSV, Excel, XML, or RSS, or access items through the Apify API.

❓ FAQ

Do I need a login or browser session?

Use only the inputs shown in the Actor schema. If authentication or cookies are supported, the relevant encrypted field is explicitly available in the Input tab; otherwise no account is required.

Why can some fields be empty?

Source pages vary by region, content type, privacy settings, and availability. Optional enrichment also depends on the selected mode. Empty values are preserved honestly instead of being guessed.

How should I run this at scale?

Start with a small representative input, inspect the dataset and cost, then raise item limits and concurrency gradually. Use Apify Proxy when the schema exposes it, and use schedules plus monitoring keys for recurring collection.

Is the example data real?

No. Every example in this README is intentionally fictional and uses demo identifiers, reserved domains, or masked contact values.